THE INTERNAL ORGANIZATION OF COMPUTER MODELS OF COGNITIVE BEHAVIOR.
ERIC Educational Resources Information Center
BAKER, FRANK B.
IF COMPUTER PROGRAMS ARE TO SERVE AS USEFUL MODELS OF COGNITIVE BEHAVIOR, THEIR CREATORS MUST FACE THE NEED TO ESTABLISH AN INTERNAL ORGANIZATION FOR THEIR MODEL WHICH IMPLEMENTS THE HIGHER LEVEL COGNITIVE BEHAVIORS ASSOCIATED WITH THE HUMAN CAPACITY FOR SELF-DIRECTION, AUTOCRITICISM, AND ADAPTATION. PRESENT COMPUTER MODELS OF COGNITIVE BEHAVIOR…
Testing the Validity of a Cognitive Behavioral Model for Gambling Behavior.
Raylu, Namrata; Oei, Tian Po S; Loo, Jasmine M Y; Tsai, Jung-Shun
2016-06-01
Currently, cognitive behavioral therapies appear to be one of the most studied treatments for gambling problems and studies show it is effective in treating gambling problems. However, cognitive behavior models have not been widely tested using statistical means. Thus, the aim of this study was to test the validity of the pathways postulated in the cognitive behavioral theory of gambling behavior using structural equation modeling (AMOS 20). Several questionnaires assessing a range of gambling specific variables (e.g., gambling urges, cognitions and behaviors) and gambling correlates (e.g., psychological states, and coping styles) were distributed to 969 participants from the community. Results showed that negative psychological states (i.e., depression, anxiety and stress) only directly predicted gambling behavior, whereas gambling urges predicted gambling behavior directly as well as indirectly via gambling cognitions. Avoidance coping predicted gambling behavior only indirectly via gambling cognitions. Negative psychological states were significantly related to gambling cognitions as well as avoidance coping. In addition, significant gender differences were also found. The results provided confirmation for the validity of the pathways postulated in the cognitive behavioral theory of gambling behavior. It also highlighted the importance of gender differences in conceptualizing gambling behavior.
Song, Hyuksoon S; Pusic, Martin; Nick, Michael W; Sarpel, Umut; Plass, Jan L; Kalet, Adina L
2014-02-01
To identify the most effective way for medical students to interact with a browser-based learning module on the symptoms and neurological underpinnings of stroke syndromes, this study manipulated the way in which subjects interacted with a graphical model of the brain and examined the impact of functional changes on learning outcomes. It was hypothesized that behavioral interactions that were behaviorally more engaging and which required deeper consideration of the model would result in heightened cognitive interaction and better learning than those whose manipulation required less deliberate behavioral and cognitive processing. One hundred forty four students were randomly assigned to four conditions whose model controls incorporated features that required different levels of behavioral and cognitive interaction: Movie (low behavioral/low cognitive, n = 40), Slider (high behavioral/low cognitive, n = 36), Click (low behavioral/high cognitive, n = 30), and Drag (high behavioral/high cognitive, n = 38). Analysis of Covariates (ANCOVA) showed that students who received the treatments associated with lower cognitive interactivity (Movie and Slider) performed better on a transfer task than those receiving the module associated with high cognitive interactivity (Click and Drag, partial eta squared = .03). In addition, the students in the high cognitive interactivity conditions spent significantly more time on the stroke locator activity than other conditions (partial eta squared = .36). The results suggest that interaction with controls that were tightly coupled with the model and whose manipulation required deliberate consideration of the model's features may have overtaxed subjects' cognitive resources. Cognitive effort that facilitated manipulation of content, though directed at the model, may have resulted in extraneous cognitive load, impeding subjects in recognizing the deeper, global relationships in the materials. Instructional designers must, therefore, keep in mind that the way in which functional affordances are integrated with the content can shape both behavioral and cognitive processing, and has significant cognitive load implications.
van Leeuwen, Nikki; Rodgers, Rachel F; Gibbs, John C; Chabrol, Henri
2014-02-01
Self-serving cognitions and callous-unemotional traits play important roles in adolescent antisocial behavior. The objective of this study was to cross-sectionally explore the mediating role of self-serving cognitions in the relationship between callous-unemotional traits and antisocial behavior. A sample of 972 high-school students completed self-report questionnaires assessing callous-unemotional traits, self-serving cognitive distortions and antisocial behavior. Two competing models exploring indirect effects accounting for the relationships between self-serving cognitive distortions, callous-unemotional traits and antisocial behaviors were tested. Both models revealed significant indirect effects, suggesting both pathways are possible. Gender was found to moderate these models. These findings suggest the importance of targeting self-serving cognitions in therapeutic interventions and increase our understanding of the role of self-serving cognitions in antisocial behavior.
Smith, Dale L; Gozal, David; Hunter, Scott J; Kheirandish-Gozal, Leila
2017-01-01
Numerous studies over the past several decades have illustrated that children who suffer from sleep-disordered breathing (SDB) are at greater risk for cognitive, behavioral, and psychiatric problems. Although behavioral problems have been proposed as a potential mediator between SDB and cognitive functioning, these relationships have not been critically examined. This analysis is based on a community-based cohort of 1,115 children who underwent overnight polysomnography, and cognitive and behavioral phenotyping. Structural model of the relationships between SDB, behavior, and cognition, and two recently developed mediation approaches based on propensity score weighting and resampling were used to assess the mediational role of parent-reported behavior and psychiatric problems in the relationship between SDB and cognitive functioning. Multiple models utilizing two different SDB definitions further explored direct effects of SDB on cognition as well as indirect effects through behavioral pathology. All models were adjusted for age, sex, race, BMI z -score, and asthma status. Indirect effects of SDB through behavior problems were significant in all mediation models, while direct effects of SDB on cognition were not. The findings were consistent across different mediation procedures and remained essentially unaltered when different criteria for SDB, behavior, and cognition were used. Potential effects of SDB on cognitive functioning appear to occur through behavioral problems that are detectable in this pediatric population. Thus, early attentional or behavioral pathology may be implicated in the cognitive functioning deficits associated with SDB, and may present an early morbidity-related susceptibility biomarker.
Cognitive-Operative Model of Intelligent Learning Systems Behavior
ERIC Educational Resources Information Center
Laureano-Cruces, Ana Lilia; Ramirez-Rodriguez, Javier; Mora-Torres, Martha; de Arriaga, Fernando; Escarela-Perez, Rafael
2010-01-01
In this paper behavior during the teaching-learning process is modeled by means of a fuzzy cognitive map. The elements used to model such behavior are part of a generic didactic model, which emphasizes the use of cognitive and operative strategies as part of the student-tutor interaction. Examples of possible initial scenarios for the…
Cognitive control predicts use of model-based reinforcement learning.
Otto, A Ross; Skatova, Anya; Madlon-Kay, Seth; Daw, Nathaniel D
2015-02-01
Accounts of decision-making and its neural substrates have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental work suggest that this classic distinction between behaviorally and neurally dissociable systems for habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning (RL), called model-free and model-based RL, but the cognitive or computational processes by which one system may dominate over the other in the control of behavior is a matter of ongoing investigation. To elucidate this question, we leverage the theoretical framework of cognitive control, demonstrating that individual differences in utilization of goal-related contextual information--in the service of overcoming habitual, stimulus-driven responses--in established cognitive control paradigms predict model-based behavior in a separate, sequential choice task. The behavioral correspondence between cognitive control and model-based RL compellingly suggests that a common set of processes may underpin the two behaviors. In particular, computational mechanisms originally proposed to underlie controlled behavior may be applicable to understanding the interactions between model-based and model-free choice behavior.
Cognitive Behavior Therapy: Notes on Theory and Application with Children.
ERIC Educational Resources Information Center
Sigmon, Scott B.
Cognitive behavioral psychology is a new theoretical orientation. When applied in treatment, it is known as cognitive behavior therapy (CBT). CBT, although based primarily on an information processing model, rests firmly on the twin pillars of both behaviorism and cognitive psychology. Today cognitive therapy and behavioral therapy are terms which…
Visualization and Rule Validation in Human-Behavior Representation
ERIC Educational Resources Information Center
Moya, Lisa Jean; McKenzie, Frederic D.; Nguyen, Quynh-Anh H.
2008-01-01
Human behavior representation (HBR) models simulate human behaviors and responses. The Joint Crowd Federate [TM] cognitive model developed by the Virginia Modeling, Analysis, and Simulation Center (VMASC) and licensed by WernerAnderson, Inc., models the cognitive behavior of crowds to provide credible crowd behavior in support of military…
Complex systems and health behavior change: insights from cognitive science.
Orr, Mark G; Plaut, David C
2014-05-01
To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. The model exhibited clear signs of quantum-like behavior. Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.
Human Behavior Modeling in Network Science
2010-03-01
in Network Science bringing three distinct research areas together, communication networks, information networks, and social /cognitive networks. The...researchers. A critical part of the social /cognitive network effort is the modeling of human behavior. The modeling efforts range from organizational...behavior to social cognitive trust to explore and refine the theoretical and applied network relationships between and among the human
Cognitive Control Predicts Use of Model-Based Reinforcement-Learning
Otto, A. Ross; Skatova, Anya; Madlon-Kay, Seth; Daw, Nathaniel D.
2015-01-01
Accounts of decision-making and its neural substrates have long posited the operation of separate, competing valuation systems in the control of choice behavior. Recent theoretical and experimental work suggest that this classic distinction between behaviorally and neurally dissociable systems for habitual and goal-directed (or more generally, automatic and controlled) choice may arise from two computational strategies for reinforcement learning (RL), called model-free and model-based RL, but the cognitive or computational processes by which one system may dominate over the other in the control of behavior is a matter of ongoing investigation. To elucidate this question, we leverage the theoretical framework of cognitive control, demonstrating that individual differences in utilization of goal-related contextual information—in the service of overcoming habitual, stimulus-driven responses—in established cognitive control paradigms predict model-based behavior in a separate, sequential choice task. The behavioral correspondence between cognitive control and model-based RL compellingly suggests that a common set of processes may underpin the two behaviors. In particular, computational mechanisms originally proposed to underlie controlled behavior may be applicable to understanding the interactions between model-based and model-free choice behavior. PMID:25170791
Modeling driver behavior in a cognitive architecture.
Salvucci, Dario D
2006-01-01
This paper explores the development of a rigorous computational model of driver behavior in a cognitive architecture--a computational framework with underlying psychological theories that incorporate basic properties and limitations of the human system. Computational modeling has emerged as a powerful tool for studying the complex task of driving, allowing researchers to simulate driver behavior and explore the parameters and constraints of this behavior. An integrated driver model developed in the ACT-R (Adaptive Control of Thought-Rational) cognitive architecture is described that focuses on the component processes of control, monitoring, and decision making in a multilane highway environment. This model accounts for the steering profiles, lateral position profiles, and gaze distributions of human drivers during lane keeping, curve negotiation, and lane changing. The model demonstrates how cognitive architectures facilitate understanding of driver behavior in the context of general human abilities and constraints and how the driving domain benefits cognitive architectures by pushing model development toward more complex, realistic tasks. The model can also serve as a core computational engine for practical applications that predict and recognize driver behavior and distraction.
Dong, Guangheng; Potenza, Marc N
2014-11-01
Cognitive contributions to the behaviors observed in substance and non-substance addictions have been investigated and characterized. Based on models of drug addictions and the extant literature on Internet gaming disorder (IGD), we propose a cognitive-behavioral model for conceptualizing IGD. The model focuses on three domains and their roles in addictive behaviors. The three domains include motivational drives related to reward-seeking and stress-reduction, behavioral control relating to executive inhibition, and decision-making that involves weighing the pros and cons of engaging in motivated behaviors. Based on this model, we propose how behavioral therapies might target these domains in the treatment of IGD. Copyright © 2014 Elsevier Ltd. All rights reserved.
Leonidou, Chrysanthi; Panayiotou, Georgia
2018-08-01
According to the cognitive-behavioral model, illness anxiety is developed and maintained through biased processing of health-threatening information and maladaptive responses to such information. This study is a systematic review of research that attempted to validate central tenets of the cognitive-behavioral model regarding etiological and maintenance mechanisms in illness anxiety. Sixty-two studies, including correlational and experimental designs, were identified through a systematic search of databases and were evaluated for their quality. Outcomes were synthesized following a qualitative thematic approach under categories of theoretically driven mechanisms derived from the cognitive-behavioral model: attention, memory and interpretation biases, perceived awareness and inaccuracy in perception of somatic sensations, negativity bias, emotion dysregulation, and behavioral avoidance. Findings partly support the cognitive-behavioral model, but several of its hypothetical mechanisms only receive weak support due to the scarcity of relevant studies. Directions for future research are suggested based on identified gaps in the existing literature. Copyright © 2018 Elsevier Inc. All rights reserved.
Reciprocal Relations Between Cognitive Neuroscience and Cognitive Models: Opposites Attract?
Forstmann, Birte U.; Wagenmakers, Eric-Jan; Eichele, Tom; Brown, Scott; Serences, John T.
2012-01-01
Cognitive neuroscientists study how the brain implements particular cognitive processes such as perception, learning, and decision-making. Traditional approaches in which experiments are designed to target a specific cognitive process have been supplemented by two recent innovations. First, formal models of cognition can decompose observed behavioral data into multiple latent cognitive processes, allowing brain measurements to be associated with a particular cognitive process more precisely and more confidently. Second, cognitive neuroscience can provide additional data to inform the development of cognitive models, providing greater constraint than behavioral data alone. We argue that these fields are mutually dependent: not only can models guide neuroscientific endeavors, but understanding neural mechanisms can provide critical insights into formal models of cognition. PMID:21612972
Vo, Phuong T; Bogg, Tim
2015-01-01
Prior research identified assorted relations between trait and social cognition models of personality and engagement in physical activity. Using a representative U.S. sample (N = 957), the goal of the present study was to test two alternative structural models of the relationships among the extraversion-related facet of activity, the conscientiousness-related facet of industriousness, social cognitions from the Theory of Planned Behavior (perceived behavioral control, affective attitudes, subjective norms, intentions), Social Cognitive Theory (self-efficacy, outcome expectancies), and the Transtheoretical Model (behavioral processes of change), and engagement in physical activity. Path analyses with bootstrapping procedures were used to model direct and indirect effects of trait and social cognition constructs on physical activity through two distinct frameworks - the Theory of Planned Behavior and Neo-Socioanalytic Theory. While both models showed good internal fit, comparative model information criteria showed the Theory-of-Planned-Behavior-informed model provided a better fit. In the model, social cognitions fully mediated the relationships from the activity facet and industriousness to intentions for and engagement in physical activity, such that the relationships were primarily maintained by positive affective evaluations, positive expected outcomes, and confidence in overcoming barriers related to physical activity engagement. The resultant model - termed the Disposition-Belief-Motivation model- is proposed as a useful framework for organizing and integrating personality trait facets and social cognitions from various theoretical perspectives to investigate the expression of health-related behaviors, such as physical activity. Moreover, the results are discussed in terms of extending the application of the Disposition-Belief-Motivation model to longitudinal and intervention designs for physical activity engagement.
Vo, Phuong T.; Bogg, Tim
2015-01-01
Prior research identified assorted relations between trait and social cognition models of personality and engagement in physical activity. Using a representative U.S. sample (N = 957), the goal of the present study was to test two alternative structural models of the relationships among the extraversion-related facet of activity, the conscientiousness-related facet of industriousness, social cognitions from the Theory of Planned Behavior (perceived behavioral control, affective attitudes, subjective norms, intentions), Social Cognitive Theory (self-efficacy, outcome expectancies), and the Transtheoretical Model (behavioral processes of change), and engagement in physical activity. Path analyses with bootstrapping procedures were used to model direct and indirect effects of trait and social cognition constructs on physical activity through two distinct frameworks – the Theory of Planned Behavior and Neo-Socioanalytic Theory. While both models showed good internal fit, comparative model information criteria showed the Theory-of-Planned-Behavior-informed model provided a better fit. In the model, social cognitions fully mediated the relationships from the activity facet and industriousness to intentions for and engagement in physical activity, such that the relationships were primarily maintained by positive affective evaluations, positive expected outcomes, and confidence in overcoming barriers related to physical activity engagement. The resultant model – termed the Disposition-Belief-Motivation model– is proposed as a useful framework for organizing and integrating personality trait facets and social cognitions from various theoretical perspectives to investigate the expression of health-related behaviors, such as physical activity. Moreover, the results are discussed in terms of extending the application of the Disposition-Belief-Motivation model to longitudinal and intervention designs for physical activity engagement. PMID:26300811
Reciprocal relations between cognitive neuroscience and formal cognitive models: opposites attract?
Forstmann, Birte U; Wagenmakers, Eric-Jan; Eichele, Tom; Brown, Scott; Serences, John T
2011-06-01
Cognitive neuroscientists study how the brain implements particular cognitive processes such as perception, learning, and decision-making. Traditional approaches in which experiments are designed to target a specific cognitive process have been supplemented by two recent innovations. First, formal cognitive models can decompose observed behavioral data into multiple latent cognitive processes, allowing brain measurements to be associated with a particular cognitive process more precisely and more confidently. Second, cognitive neuroscience can provide additional data to inform the development of formal cognitive models, providing greater constraint than behavioral data alone. We argue that these fields are mutually dependent; not only can models guide neuroscientific endeavors, but understanding neural mechanisms can provide key insights into formal models of cognition. Copyright © 2011 Elsevier Ltd. All rights reserved.
A Scientific Cognitive-Behavioral Model of Tinnitus: Novel Conceptualizations of Tinnitus Distress
McKenna, Laurence; Handscomb, Lucy; Hoare, Derek J.; Hall, Deborah A.
2014-01-01
The importance of psychological factors in tinnitus distress has been formally recognized for almost three decades. The psychological understanding of why tinnitus can be a distressing condition posits that it becomes problematic when it acquires an emotive significance through cognitive processes. Principle therapeutic efforts are directed at reducing or removing the cognitive (and behavioral) obstacles to habituation. Here, the evidence relevant to a new psychological model of tinnitus is critically reviewed. The model posits that patients’ interpretations of tinnitus and the changes in behavior that result are given a central role in creating and maintaining distress. The importance of selective attention and the possibility that this leads to distorted perception of tinnitus is highlighted. From this body of evidence, we propose a coherent cognitive-behavioral model of tinnitus distress that is more in keeping with contemporary psychological theories of clinical problems (particularly that of insomnia) and which postulates a number of behavioral processes that are seen as cognitively mediated. This new model provides testable hypotheses to guide future research to unravel the complex mechanisms underpinning tinnitus distress. It is also well suited to define individual symptomatology and to provide a framework for the delivery of cognitive-behavioral therapy. PMID:25339938
Cowell, Rosemary A; Bussey, Timothy J; Saksida, Lisa M
2012-11-01
We describe how computational models can be useful to cognitive and behavioral neuroscience, and discuss some guidelines for deciding whether a model is useful. We emphasize that because instantiating a cognitive theory as a computational model requires specification of an explicit mechanism for the function in question, it often produces clear and novel behavioral predictions to guide empirical research. However, computational modeling in cognitive and behavioral neuroscience remains somewhat rare, perhaps because of misconceptions concerning the use of computational models (in particular, connectionist models) in these fields. We highlight some common misconceptions, each of which relates to an aspect of computational models: the problem space of the model, the level of biological organization at which the model is formulated, and the importance (or not) of biological plausibility, parsimony, and model parameters. Careful consideration of these aspects of a model by empiricists, along with careful delineation of them by modelers, may facilitate communication between the two disciplines and promote the use of computational models for guiding cognitive and behavioral experiments. Copyright © 2012 Elsevier Ltd. All rights reserved.
Metcalfe, Lindsay A; Harvey, Elizabeth A; Laws, Holly B
2013-08-01
Existing research suggests that there is a relation between academic/cognitive deficits and externalizing behavior in young children, but the direction of this relation is unclear. The present study tested competing models of the relation between academic/cognitive functioning and behavior problems during early childhood. Participants were 221 children (120 boys, 101 girls) who participated in a longitudinal study from age 3 to 6. A reciprocal relation (Model 3) was observed only between inattention and academic achievement; this relation remained controlling for SES and family stress. The relation between inattention and cognitive ability was consistent with Model 1 (cognitive skills predicting later inattention) with controls. For hyperactivity and aggression, there was some support for Model 2 (early behavior predicting later academic/cognitive ability), but this model was no longer supported when controlling for family functioning. These results suggest that the relation between academic achievement/cognitive ability and externalizing problems may be driven primarily by inattention. These results also suggest that this relation is evident early in development, highlighting the need for early assessment and intervention.
NASA Astrophysics Data System (ADS)
Suandi, I. K.; Aryaningsih, N. N.; Abdi, I. M.
2018-01-01
The objectives of this study are: (1) to describe the difference of the students’ competence between the students following mastery learning and conventional instruction, (2) to describe the difference of the students’ competence between the students have high cognitive entry behavior and low cognitive entry behavior, and (3) to analyze the interaction effect between instructional model and cognitive entry behavior to the achievement of students’ competence. Quasi experiment was conducted at accounting department of Politeknik Negeri Bali and research design is nonrandomized control group pretest-posttest. The variable in this study are: (1) students’ competence, (2) instructional model, and (3) cognitive entry behavior. The total samples are 168 students and each treatment decided 25 subjects as analysis unit, therefore the total of analysis unit are 100 subjects. The results of the study are: (1) there is a significant deference of the students’ competence between the students following mastery learning and conventional instruction (F=7.514; P<0.05), (2) there is a significant difference of the students’ competence between the students have high cognitive entry behavior and low cognitive entry behavior (F=8.035; P<0.05), (3) there is a significant interaction effect between instructional model and cognitive entry behavior to the achievement of students’ competence (F=8.392; P<0.05).
Avian Models for Human Cognitive Neuroscience: A Proposal.
Clayton, Nicola S; Emery, Nathan J
2015-06-17
Research on avian cognitive neuroscience over the past two decades has revealed the avian brain to be a better model for understanding human cognition than previously thought, despite differences in the neuroarchitecture of avian and mammalian brains. The brain, behavior, and cognition of songbirds have provided an excellent model of human cognition in one domain, namely learning human language and the production of speech. There are other important behavioral candidates of avian cognition, however, notably the capacity of corvids to remember the past and plan for the future, as well as their ability to think about another's perspective, and physical reasoning. We review this work and assess the evidence that the corvid brain can support such a cognitive architecture. We propose potential applications of these behavioral paradigms for cognitive neuroscience, including recent work on single-cell recordings and neuroimaging in corvids. Finally, we discuss their impact on understanding human developmental cognition. Copyright © 2015 Elsevier Inc. All rights reserved.
ERIC Educational Resources Information Center
Kanter, Jonathan W.; Cautilli, Joseph D.; Busch, Andrew M.; Baruch, David E.
2011-01-01
With recent advances in the behavioral treatment of depression and growing dissatisfaction with medical and cognitive interventions, a resurgence of interest in behavior analytic treatment of depression has occurred. Currently, several behavioral and cognitive behavioral models of depression exist. In reviewing these models, certain agreed upon…
Editorial: Cognitive Architectures, Model Comparison and AGI
NASA Astrophysics Data System (ADS)
Lebiere, Christian; Gonzalez, Cleotilde; Warwick, Walter
2010-12-01
Cognitive Science and Artificial Intelligence share compatible goals of understanding and possibly generating broadly intelligent behavior. In order to determine if progress is made, it is essential to be able to evaluate the behavior of complex computational models, especially those built on general cognitive architectures, and compare it to benchmarks of intelligent behavior such as human performance. Significant methodological challenges arise, however, when trying to extend approaches used to compare model and human performance from tightly controlled laboratory tasks to complex tasks involving more open-ended behavior. This paper describes a model comparison challenge built around a dynamic control task, the Dynamic Stocks and Flows. We present and discuss distinct approaches to evaluating performance and comparing models. Lessons drawn from this challenge are discussed in light of the challenge of using cognitive architectures to achieve Artificial General Intelligence.
Pharmacological analyses of learning and memory in zebrafish (Danio rerio).
Bailey, Jordan M; Oliveri, Anthony N; Levin, Edward D
2015-12-01
Over the last decade, zebrafish (Danio rerio) have become valuable as a complementary model in behavioral pharmacology, opening a new avenue for understanding the relationships between drug action and behavior. This species offers a useful intermediate approach bridging the gap between in vitro studies and traditional mammalian models. Zebrafish offer great advantages of economy compared to their rodent counterparts, their complex brains and behavioral repertoire offer great translational potential relative to in vitro models. The development and validation of a variety of tests to measure behavior, including cognition, in zebrafish have set the stage for the use of this animal for behavioral pharmacology studies. This has led to research into the basic mechanisms of cognitive function as well as screening for potential cognition-improving drug therapies, among other lines of research. As with all models, zebrafish have limitations, which span pharmacokinetic challenges to difficulties quantifying behavior. The use, efficacy and limitations associated with a zebrafish model of cognitive function are discussed in this review, within the context of behavioral pharmacology. Copyright © 2015 Elsevier Inc. All rights reserved.
Applying a Cognitive-Behavioral Model of HIV Risk to Youths in Psychiatric Care
ERIC Educational Resources Information Center
Donenberg, Geri R.; Schwartz, Rebecca Moss; Emerson, Erin; Wilson, Helen W.; Bryant, Fred B.; Coleman, Gloria
2005-01-01
This study examined the utility of cognitive and behavioral constructs (AIDS information, motivation, and behavioral skills) in explaining sexual risk taking among 172 12-20-year-old ethnically diverse urban youths in outpatient psychiatric care. Structural equation modeling revealed only moderate support for the model, explaining low to moderate…
Cognitive Empathy and Emotional Empathy in Human Behavior and Evolution
ERIC Educational Resources Information Center
Smith, Adam
2006-01-01
This article presents 7 simple models of the relationship between cognitive empathy (mental perspective taking) and emotional empathy (the vicarious sharing of emotion). I consider behavioral outcomes of the models, arguing that, during human evolution, natural selection may have acted on variation in the relationship between cognitive empathy and…
ERIC Educational Resources Information Center
Wagner, Karla Dawn; Unger, Jennifer B.; Bluthenthal, Ricky N.; Andreeva, Valentina A.; Pentz, Mary Ann
2010-01-01
Injection drug users (IDUs) are at risk for HIV and viral hepatitis, and risky injection behavior persists despite decades of intervention. Cognitive behavioral theories (CBTs) are commonly used to help understand risky injection behavior. The authors review findings from CBT-based studies of injection risk behavior among IDUs. An extensive…
Developing Cognitive Models for Social Simulation from Survey Data
NASA Astrophysics Data System (ADS)
Alt, Jonathan K.; Lieberman, Stephen
The representation of human behavior and cognition continues to challenge the modeling and simulation community. The use of survey and polling instruments to inform belief states, issue stances and action choice models provides a compelling means of developing models and simulations with empirical data. Using these types of data to population social simulations can greatly enhance the feasibility of validation efforts, the reusability of social and behavioral modeling frameworks, and the testable reliability of simulations. We provide a case study demonstrating these effects, document the use of survey data to develop cognitive models, and suggest future paths forward for social and behavioral modeling.
Behavioral facilitation: a cognitive model of individual differences in approach motivation.
Robinson, Michael D; Meier, Brian P; Tamir, Maya; Wilkowski, Benjamin M; Ode, Scott
2009-02-01
Approach motivation consists of the active, engaged pursuit of one's goals. The purpose of the present three studies (N = 258) was to examine whether approach motivation could be cognitively modeled, thereby providing process-based insights into personality functioning. Behavioral facilitation was assessed in terms of faster (or facilitated) reaction time with practice. As hypothesized, such tendencies predicted higher levels of approach motivation, higher levels of positive affect, and lower levels of depressive symptoms and did so across cognitive, behavioral, self-reported, and peer-reported outcomes. Tendencies toward behavioral facilitation, on the other hand, did not correlate with self-reported traits (Study 1) and did not predict avoidance motivation or negative affect (all studies). The results indicate a systematic relationship between behavioral facilitation in cognitive tasks and approach motivation in daily life. Results are discussed in terms of the benefits of modeling the cognitive processes hypothesized to underlie individual differences motivation, affect, and depression. (c) 2009 APA, all rights reserved
Thomas, Michael S C; Forrester, Neil A; Ronald, Angelica
2016-01-01
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such associations can be detected despite the remoteness of these levels of description, and the fact that behavior is the outcome of an extended developmental process involving interaction of the whole organism with a variable environment. Given that they have been detected, how do such associations inform cognitive-level theories? To investigate this question, we employed a multiscale computational model of development, using a sample domain drawn from the field of language acquisition. The model comprised an artificial neural network model of past-tense acquisition trained using the backpropagation learning algorithm, extended to incorporate population modeling and genetic algorithms. It included five levels of description-four internal: genetic, network, neurocomputation, behavior; and one external: environment. Since the mechanistic assumptions of the model were known and its operation was relatively transparent, we could evaluate whether cross-level associations gave an accurate picture of causal processes. We established that associations could be detected between artificial genes and behavioral variation, even under polygenic assumptions of a many-to-one relationship between genes and neurocomputational parameters, and when an experience-dependent developmental process interceded between the action of genes and the emergence of behavior. We evaluated these associations with respect to their specificity (to different behaviors, to function vs. structure), to their developmental stability, and to their replicability, as well as considering issues of missing heritability and gene-environment interactions. We argue that gene-behavior associations can inform cognitive theory with respect to effect size, specificity, and timing. The model demonstrates a means by which researchers can undertake multiscale modeling with respect to cognition and develop highly specific and complex hypotheses across multiple levels of description. Copyright © 2015 Cognitive Science Society, Inc.
Psychotherapy for Infertility: A Cognitive-Behavioral Approach for Couples.
ERIC Educational Resources Information Center
Myers, Lisa B.; Wark, Linda
1996-01-01
Describes a cognitive-behavioral model for treating couples' negative reactions to infertility. After a discussion of why the cognitive-behavioral approach can competently address the goals of couples coping with infertility, three phases of treatment are outlined: assessment, therapy, and closure. Areas for assessment include spouses, marital…
ERIC Educational Resources Information Center
Meece, Darrell
1999-01-01
This study proposes a model of associations between young children's social cognition and their social behavior with peers. In this model, two latent structures -children's representations of peer relationships and emotion regulation -- predict children's competent, prosocial, withdrawn, and aggressive behavior. Moreover, the model proposes that…
Risk Factors for Addiction and Their Association with Model-Based Behavioral Control.
Reiter, Andrea M F; Deserno, Lorenz; Wilbertz, Tilmann; Heinze, Hans-Jochen; Schlagenhauf, Florian
2016-01-01
Addiction shows familial aggregation and previous endophenotype research suggests that healthy relatives of addicted individuals share altered behavioral and cognitive characteristics with individuals suffering from addiction. In this study we asked whether impairments in behavioral control proposed for addiction, namely a shift from goal-directed, model-based toward habitual, model-free control, extends toward an unaffected sample (n = 20) of adult children of alcohol-dependent fathers as compared to a sample without any personal or family history of alcohol addiction (n = 17). Using a sequential decision-making task designed to investigate model-free and model-based control combined with a computational modeling analysis, we did not find any evidence for altered behavioral control in individuals with a positive family history of alcohol addiction. Independent of family history of alcohol dependence, we however observed that the interaction of two different risk factors of addiction, namely impulsivity and cognitive capacities, predicts the balance of model-free and model-based behavioral control. Post-hoc tests showed a positive association of model-based behavior with cognitive capacity in the lower, but not in the higher impulsive group of the original sample. In an independent sample of particularly high- vs. low-impulsive individuals, we confirmed the interaction effect of cognitive capacities and high vs. low impulsivity on model-based control. In the confirmation sample, a positive association of omega with cognitive capacity was observed in highly impulsive individuals, but not in low impulsive individuals. Due to the moderate sample size of the study, further investigation of the association of risk factors for addiction with model-based behavior in larger sample sizes is warranted.
ERIC Educational Resources Information Center
Sumbera, Becky
2017-01-01
This three-phase, two-method qualitative study explored and identified policies, programs, and practices that school-site administrators perceived as most effective in reengaging at-risk students emotionally, behaviorally, and cognitively at 10 California Model Continuation High Schools (MCHS). Eccles' expectancy-value theoretical framework was…
Pickering, Trevor A; Huh, Jimi; Intille, Stephen; Liao, Yue; Pentz, Mary Ann; Dunton, Genevieve F
2016-03-01
Decisions to perform moderate-to-vigorous physical activity (MVPA) involve behavioral cognitive processes that may differ within individuals depending on the situation. Ecological momentary assessment (EMA) was used to examine the relationships of momentary behavioral cognitions (ie, self-efficacy, outcome expectancy, intentions) with MVPA (measured by accelerometer). A sample of 116 adults (mean age, 40.3 years; 72.4% female) provided real-time EMA responses via mobile phones across 4 days. Multilevel models were used to test whether momentary behavioral cognitions differed across contexts and were associated with subsequent MVPA. Mixed-effects location scale models were used to examine whether subject-level means and within-subjects variances in behavioral cognitions were associated with average daily MVPA. Momentary behavioral cognitions differed across contexts for self-efficacy (P = .007) but not for outcome expectancy (P = .53) or intentions (P = .16). Momentary self-efficacy, intentions, and their interaction predicted MVPA within the subsequent 2 hours (Ps < .01). Average daily MVPA was positively associated with within-subjects variance in momentary self-efficacy and intentions for physical activity (Ps < .05). Although momentary behavioral cognitions are related to subsequent MVPA, adults with higher average MVPA have more variation in physical activity self-efficacy and intentions. Performing MVPA may depend more on how much behavioral cognitions vary across the day than whether they are generally high or low.
Cognitive-behavioral play therapy.
Knell, S M
1998-03-01
Discusses cognitive-behavioral play therapy (CBPT), a developmentally sensitive treatment for young children that relies on flexibility, decreased expectation for verbalizations by the child, and increased reliance on experiential approaches. The development of CBPT for preschool-age children provides a relatively unique adaptation of cognitive therapy as it was originally developed for adults. CBPT typically contains a modeling component through which adaptive coping skills are demonstrated. Through the use of play, cognitive change is communicated indirectly, and more adaptive behaviors can be introduced to the child. Modeling is tailored for use with many specific cognitive and behavioral interventions. Generalization and response prevention are important features of CBPT. With minor modifications, many of the principles of cognitive therapy, as delineated for use with adults, are applicable to young children. Case examples are presented to highlight the application of CBPT. Although CBPT has a sound therapeutic base and utilizes proven techniques, more rigorous empirical scrutiny is needed.
Introduction to The Special Issue: Cognitive-Behavioral Interventions with Students with EBD
ERIC Educational Resources Information Center
Mayer, Matthew; Lochman, John; Van Acker, Richard
2005-01-01
Significant progress has been made in developing models of social information processing, and cognitive-behavioral processes and related interventions. While there has been limited attention to cognitive-behavioral modification (CBM) in the special education literature, the majority of the contributions have come from the fields of school,…
The efficacy of cognitive behavioral therapy for Chinese people: A meta-analysis.
Ng, Ting Kin; Wong, Daniel Fu Keung
2018-07-01
Over the past decade, cognitive behavioral therapy has been applied to an increasingly wider range of disorders and problems in Chinese societies. However, no meta-analysis has been conducted to synthesize the studies on cognitive behavioral therapy for Chinese clients. The purpose of this meta-analytic study was to examine the overall efficacy of cognitive behavioral therapy for Chinese people. A literature search was conducted using electronic databases, including Web of Science, PsycINFO and PubMed. Pooled mean effect sizes were calculated using the random-effects model. The literature search identified 55 studies with 6763 Chinese participants. The overall short-term effect of cognitive behavioral therapy on the primary outcome was medium in size. Effect sizes were medium for anxiety, depression/well-being and caregiving stress and small for psychotic symptoms and addictive behaviors. The effects of cognitive behavioral therapy on process variables, dysfunctional thoughts and coping, were in the small range. The overall longer-term effect of cognitive behavioral therapy on the primary outcome was medium in size. Moderator analyses showed that the short-term effect was stronger for culturally adapted cognitive behavioral therapy than for unadapted cognitive behavioral therapy. Type of primary outcome, type of control group, recruitment method, study design, the format of delivery and region were found to moderate the efficacy of cognitive behavioral therapy. The findings of this study provide evidence for the overall efficacy of cognitive behavioral therapy for Chinese people and the benefit of cultural adaptation of cognitive behavioral therapy to Chinese culture.
Bartholow, Bruce D
2010-03-01
Numerous social-cognitive models posit that social behavior largely is driven by links between constructs in long-term memory that automatically become activated when relevant stimuli are encountered. Various response biases have been understood in terms of the influence of such "implicit" processes on behavior. This article reviews event-related potential (ERP) studies investigating the role played by cognitive control and conflict resolution processes in social-cognitive phenomena typically deemed automatic. Neurocognitive responses associated with response activation and conflict often are sensitive to the same stimulus manipulations that produce differential behavioral responses on social-cognitive tasks and that often are attributed to the role of automatic associations. Findings are discussed in the context of an overarching social cognitive neuroscience model in which physiological data are used to constrain social-cognitive theories.
Moving beyond qualitative evaluations of Bayesian models of cognition.
Hemmer, Pernille; Tauber, Sean; Steyvers, Mark
2015-06-01
Bayesian models of cognition provide a powerful way to understand the behavior and goals of individuals from a computational point of view. Much of the focus in the Bayesian cognitive modeling approach has been on qualitative model evaluations, where predictions from the models are compared to data that is often averaged over individuals. In many cognitive tasks, however, there are pervasive individual differences. We introduce an approach to directly infer individual differences related to subjective mental representations within the framework of Bayesian models of cognition. In this approach, Bayesian data analysis methods are used to estimate cognitive parameters and motivate the inference process within a Bayesian cognitive model. We illustrate this integrative Bayesian approach on a model of memory. We apply the model to behavioral data from a memory experiment involving the recall of heights of people. A cross-validation analysis shows that the Bayesian memory model with inferred subjective priors predicts withheld data better than a Bayesian model where the priors are based on environmental statistics. In addition, the model with inferred priors at the individual subject level led to the best overall generalization performance, suggesting that individual differences are important to consider in Bayesian models of cognition.
Differential effects of parenting in preterm and full-term children on developmental outcomes.
Maupin, Angela N; Fine, Jodene Goldenring
2014-12-01
To examine the relations between preterm birth, parenting behavior during early childhood, cognitive development, and social-emotional outcomes at Kindergarten entry, and to determine whether parenting behavior differentially influences this developing system in children born preterm compared to children born full-term. The nationally representative sample comprised 3600 full-term and 1300 preterm children born in the US in the year 2001. All children who entered Kindergarten and who participated in data collection at 9 months, 24 months, and Kindergarten entry were included in the study. Measures of parenting behavior were collected at 9 and 24 months and cognitive development at 24 months via home visits. Social-emotional outcomes were assessed at Kindergarten entry via parent and teacher report. Multiple-sample Structural Equation Modeling was used to analyze group differences in a model whereby early childhood parenting behavior predicted cognitive outcomes, and social-emotional outcomes at Kindergarten entry, and indirectly predicted social-emotional outcomes via early cognitive processes. The full sample developmental model indicated excellent fit to the data. Preterm birth status indirectly influenced social-emotional outcomes at Kindergarten entry via its effect on early childhood parenting behavior and cognitive development. The multi-sample model revealed significant differences in the way in which early parenting behavior exerted its influence on outcomes at Kindergarten entry in preterm children compared to full-term children. For preterm children, parenting indirectly influenced social-emotional outcomes via early cognitive functioning. Findings highlight the importance of early identification and targeted parenting programs to support early cognitive development in preterm children. Copyright © 2014 Elsevier Ltd. All rights reserved.
Ho, Shirley S; Peh, Xianghong; Soh, Veronica W L
2013-01-01
This study uses the cognitive mediation model as the theoretical framework to examine the influence of motivations, communication, and news elaboration on public knowledge of the H1N1 pandemic and the intention to take precautionary behaviors in Singapore. Using a nationally representative random digit dialing telephone survey of 1,055 adult Singaporeans, the authors' results show that the cognitive mediation model can be applied to health contexts, in which motivations (surveillance gratification, guidance, and need for cognition) were positively associated with news attention, elaboration, and interpersonal communication. News attention, elaboration, and interpersonal communication in turn positively influence public knowledge about the H1N1 influenza. In addition, results show that the motivations have significant indirect effects on behavioral intentions, as partially mediated by communication (media attention and interpersonal communication), elaboration, and knowledge. The authors conclude that the cognitive mediation model can be extended to behavioral outcomes, above and beyond knowledge. Implications for theory and practice for health communication were discussed.
Bechtel, William; Abrahamsen, Adele
2010-09-01
We consider computational modeling in two fields: chronobiology and cognitive science. In circadian rhythm models, variables generally correspond to properties of parts and operations of the responsible mechanism. A computational model of this complex mechanism is grounded in empirical discoveries and contributes a more refined understanding of the dynamics of its behavior. In cognitive science, on the other hand, computational modelers typically advance de novo proposals for mechanisms to account for behavior. They offer indirect evidence that a proposed mechanism is adequate to produce particular behavioral data, but typically there is no direct empirical evidence for the hypothesized parts and operations. Models in these two fields differ in the extent of their empirical grounding, but they share the goal of achieving dynamic mechanistic explanation. That is, they augment a proposed mechanistic explanation with a computational model that enables exploration of the mechanism's dynamics. Using exemplars from circadian rhythm research, we extract six specific contributions provided by computational models. We then examine cognitive science models to determine how well they make the same types of contributions. We suggest that the modeling approach used in circadian research may prove useful in cognitive science as researchers develop procedures for experimentally decomposing cognitive mechanisms into parts and operations and begin to understand their nonlinear interactions.
ERIC Educational Resources Information Center
Bullock-Yowell, Emily; Katz, Sheba P.; Reardon, Robert C.; Peterson, Gary W.
2012-01-01
The respective roles of social cognitive career theory and cognitive information processing in career exploratory behavior were analyzed. A verified path model shows cognitive information processing theory's negative career thoughts inversely predict social cognitive career theory's career problem-solving self-efficacy, which predicts career…
Computational Cognitive Modeling of Adaptive Choice Behavior in a Dynamic Decision Paradigm
2006-02-01
Cognitive Psychology (Fu & Gray, in press), an exploration of the limits of ACT-R’s credit assignment mechanism published in the Cognitive System Research...Macmillan & Creelman , 2004) to "determine the optimal performance in a task, given the physical properties of the environment and stimuli" (Geisler, 2004...allocation for interactive behavior. Psychological Review, in press. Gray, W. D. 0., & Myers, C. W. (2005). From models to methods to models: Tools and
Friedel, Eva; Sebold, Miriam; Kuitunen-Paul, Sören; Nebe, Stephan; Veer, Ilya M.; Zimmermann, Ulrich S.; Schlagenhauf, Florian; Smolka, Michael N.; Rapp, Michael; Walter, Henrik; Heinz, Andreas
2017-01-01
Rationale: Advances in neurocomputational modeling suggest that valuation systems for goal-directed (deliberative) on one side, and habitual (automatic) decision-making on the other side may rely on distinct computational strategies for reinforcement learning, namely model-free vs. model-based learning. As a key theoretical difference, the model-based system strongly demands cognitive functions to plan actions prospectively based on an internal cognitive model of the environment, whereas valuation in the model-free system relies on rather simple learning rules from operant conditioning to retrospectively associate actions with their outcomes and is thus cognitively less demanding. Acute stress reactivity is known to impair model-based but not model-free choice behavior, with higher working memory capacity protecting the model-based system from acute stress. However, it is not clear which impact accumulated real life stress has on model-free and model-based decision systems and how this influence interacts with cognitive abilities. Methods: We used a sequential decision-making task distinguishing relative contributions of both learning strategies to choice behavior, the Social Readjustment Rating Scale questionnaire to assess accumulated real life stress, and the Digit Symbol Substitution Test to test cognitive speed in 95 healthy subjects. Results: Individuals reporting high stress exposure who had low cognitive speed showed reduced model-based but increased model-free behavioral control. In contrast, subjects exposed to accumulated real life stress with high cognitive speed displayed increased model-based performance but reduced model-free control. Conclusion: These findings suggest that accumulated real life stress exposure can enhance reliance on cognitive speed for model-based computations, which may ultimately protect the model-based system from the detrimental influences of accumulated real life stress. The combination of accumulated real life stress exposure and slower information processing capacities, however, might favor model-free strategies. Thus, the valence and preference of either system strongly depends on stressful experiences and individual cognitive capacities. PMID:28642696
Friedel, Eva; Sebold, Miriam; Kuitunen-Paul, Sören; Nebe, Stephan; Veer, Ilya M; Zimmermann, Ulrich S; Schlagenhauf, Florian; Smolka, Michael N; Rapp, Michael; Walter, Henrik; Heinz, Andreas
2017-01-01
Rationale: Advances in neurocomputational modeling suggest that valuation systems for goal-directed (deliberative) on one side, and habitual (automatic) decision-making on the other side may rely on distinct computational strategies for reinforcement learning, namely model-free vs. model-based learning. As a key theoretical difference, the model-based system strongly demands cognitive functions to plan actions prospectively based on an internal cognitive model of the environment, whereas valuation in the model-free system relies on rather simple learning rules from operant conditioning to retrospectively associate actions with their outcomes and is thus cognitively less demanding. Acute stress reactivity is known to impair model-based but not model-free choice behavior, with higher working memory capacity protecting the model-based system from acute stress. However, it is not clear which impact accumulated real life stress has on model-free and model-based decision systems and how this influence interacts with cognitive abilities. Methods: We used a sequential decision-making task distinguishing relative contributions of both learning strategies to choice behavior, the Social Readjustment Rating Scale questionnaire to assess accumulated real life stress, and the Digit Symbol Substitution Test to test cognitive speed in 95 healthy subjects. Results: Individuals reporting high stress exposure who had low cognitive speed showed reduced model-based but increased model-free behavioral control. In contrast, subjects exposed to accumulated real life stress with high cognitive speed displayed increased model-based performance but reduced model-free control. Conclusion: These findings suggest that accumulated real life stress exposure can enhance reliance on cognitive speed for model-based computations, which may ultimately protect the model-based system from the detrimental influences of accumulated real life stress. The combination of accumulated real life stress exposure and slower information processing capacities, however, might favor model-free strategies. Thus, the valence and preference of either system strongly depends on stressful experiences and individual cognitive capacities.
Doering, Bettina; Exner, Cornelia
2011-03-01
Acquired brain injury (ABI) does not only result in physical and cognitive impairments, but may also entail behavioral-emotional difficulties and mental disorders. Although neuropsychological approaches target the rehabilitation of cognitive deficits, the treatment of emotional and behavioral sequelae has received less consideration. This review argues for the integration of cognitive-behavioral approaches into the rehabilitation process and examines respective recent research. Cognitive-behavioral interventions have been investigated in the treatment of behavioral disturbances and mental disorders after ABI. They have also been targeted at supporting adaptive coping with chronic injury-related impairments. Problem-solving approaches of cognitive behavioral therapy may work as meta-models or framework for the rehabilitative process. Unfortunately, most studies reviewed employed methodologically weak designs, which limit convincing conclusions. Still, positive intervention effects have been demonstrated concerning specific outcome measures. Whether these changes also translate into increased psychosocial functioning or quality of life remains unclear. Methodologically sound evidence for cognitive-behavioral interventions after ABI is limited, but preliminary results support the effectiveness of these interventions in the treatment of behavioral disorders and emotional disturbances after ABI. Integrating neuropsychological and cognitive-behavioral approaches may therefore prove beneficial to the rehabilitation process.
Cyberpsychology: a human-interaction perspective based on cognitive modeling.
Emond, Bruno; West, Robert L
2003-10-01
This paper argues for the relevance of cognitive modeling and cognitive architectures to cyberpsychology. From a human-computer interaction point of view, cognitive modeling can have benefits both for theory and model building, and for the design and evaluation of sociotechnical systems usability. Cognitive modeling research applied to human-computer interaction has two complimentary objectives: (1) to develop theories and computational models of human interactive behavior with information and collaborative technologies, and (2) to use the computational models as building blocks for the design, implementation, and evaluation of interactive technologies. From the perspective of building theories and models, cognitive modeling offers the possibility to anchor cyberpsychology theories and models into cognitive architectures. From the perspective of the design and evaluation of socio-technical systems, cognitive models can provide the basis for simulated users, which can play an important role in usability testing. As an example of application of cognitive modeling to technology design, the paper presents a simulation of interactive behavior with five different adaptive menu algorithms: random, fixed, stacked, frequency based, and activation based. Results of the simulation indicate that fixed menu positions seem to offer the best support for classification like tasks such as filing e-mails. This research is part of the Human-Computer Interaction, and the Broadband Visual Communication research programs at the National Research Council of Canada, in collaboration with the Carleton Cognitive Modeling Lab at Carleton University.
Relapse prevention for addictive behaviors
2011-01-01
The Relapse Prevention (RP) model has been a mainstay of addictions theory and treatment since its introduction three decades ago. This paper provides an overview and update of RP for addictive behaviors with a focus on developments over the last decade (2000-2010). Major treatment outcome studies and meta-analyses are summarized, as are selected empirical findings relevant to the tenets of the RP model. Notable advances in RP in the last decade include the introduction of a reformulated cognitive-behavioral model of relapse, the application of advanced statistical methods to model relapse in large randomized trials, and the development of mindfulness-based relapse prevention. We also review the emergent literature on genetic correlates of relapse following pharmacological and behavioral treatments. The continued influence of RP is evidenced by its integration in most cognitive-behavioral substance use interventions. However, the tendency to subsume RP within other treatment modalities has posed a barrier to systematic evaluation of the RP model. Overall, RP remains an influential cognitive-behavioral framework that can inform both theoretical and clinical approaches to understanding and facilitating behavior change. PMID:21771314
Anatomy and computational modeling of networks underlying cognitive-emotional interaction.
John, Yohan J; Bullock, Daniel; Zikopoulos, Basilis; Barbas, Helen
2013-01-01
The classical dichotomy between cognition and emotion equated the first with rationality or logic and the second with irrational behaviors. The idea that cognition and emotion are separable, antagonistic forces competing for dominance of mind has been hard to displace despite abundant evidence to the contrary. For instance, it is now known that a pathological absence of emotion leads to profound impairment of decision making. Behavioral observations of this kind are corroborated at the mechanistic level: neuroanatomical studies reveal that brain areas typically described as underlying either cognitive or emotional processes are linked in ways that imply complex interactions that do not resemble a simple mutual antagonism. Instead, physiological studies and network simulations suggest that top-down signals from prefrontal cortex realize "cognitive control" in part by either suppressing or promoting emotional responses controlled by the amygdala, in a way that facilitates adaptation to changing task demands. Behavioral, anatomical, and physiological data suggest that emotion and cognition are equal partners in enabling a continuum or matrix of flexible behaviors that are subserved by multiple brain regions acting in concert. Here we focus on neuroanatomical data that highlight circuitry that structures cognitive-emotional interactions by directly or indirectly linking prefrontal areas with the amygdala. We also present an initial computational circuit model, based on anatomical, physiological, and behavioral data to explicitly frame the learning and performance mechanisms by which cognition and emotion interact to achieve flexible behavior.
Psychodynamic Therapists' Reservations About Cognitive-Behavioral Therapy
PERSONS, JACQUELINE B.; GROSS, JAMES J.; ETKIN, MARK S.; MADAN, SIMONE K.
1996-01-01
This article offers suggestions for psychodynamic therapists who encounter obstacles while learning cognitive-behavioral therapy (CBT) or working in settings where CBT is used. The authors discuss three types of questions commonly raised by psychodynamic therapists about CBT. These concern 1) the therapeutic relationship, 2) the focus of therapeutic interventions, and 3) the depth of change. To help psychodynamic therapists overcome obstacles to learning CBT, the authors focus on similarities between psychodynamic and cognitive-behavioral models in these three areas. They also examine differences between the models, including differences dependent on value judgments, and offer suggestions for making productive use of differences between the models in the training process. PMID:22700289
Cognitive Models of Risky Choice: Parameter Stability and Predictive Accuracy of Prospect Theory
ERIC Educational Resources Information Center
Glockner, Andreas; Pachur, Thorsten
2012-01-01
In the behavioral sciences, a popular approach to describe and predict behavior is cognitive modeling with adjustable parameters (i.e., which can be fitted to data). Modeling with adjustable parameters allows, among other things, measuring differences between people. At the same time, parameter estimation also bears the risk of overfitting. Are…
Ngo, Victoria K; Centanni, Angela; Wong, Eunice; Wennerstrom, Ashley; Miranda, Jeanne
2011-01-01
Numerous challenges exist in implementing evidence-based practices, such as cognitive behavioral therapy, in resource poor, ethnic minority, and/or disaster-affected communities with disparities in mental health. Community-academic participatory partnerships are a promising approach to addressing disparities by implementing community-appropriate, evidence-based depression care. A community-academic collaborative was formed in New Orleans after Hurricane Katrina to expand resources for effective depression care, including cognitive behavioral therapy. In this article, we: 1) describe our model of building capacity to deliver cognitive behavioral therapy for depression in post-disaster community-based settings; 2) discuss the impact of this training program on therapist reported practice; and 3) share lessons learned regarding disseminating and sustaining evidence-based interventions in the context of a disaster impacted community. Using a mixed methods approach, we found that this model was feasible, acceptable, and disseminated knowledge about cognitive behavioral therapy in community settings. Over the course of two years, community providers demonstrated the feasibility of implementing evidence-based practice and potential for local community leadership. The lessons learned from this model of implementation may help address barriers to disseminating evidence-based interventions in other low-resource, disaster-impacted community settings.
Dóci, Edina; Stouten, Jeroen; Hofmans, Joeri
2015-01-01
In the present paper, we propose a cognitive-behavioral understanding of active and passive leadership. Building on core evaluations theory, we offer a model that explains the emergence of leaders’ active and passive behaviors, thereby predicting stable, inter-individual, as well as variable, intra-individual differences in both types of leadership behavior. We explain leaders’ stable behavioral tendencies by their fundamental beliefs about themselves, others, and the world (core evaluations), while their variable, momentary behaviors are explained by the leaders’ momentary appraisals of themselves, others, and the world (specific evaluations). By introducing interactions between the situation the leader enters, the leader’s beliefs, appraisals, and behavior, we propose a comprehensive system of cognitive mechanisms that underlie active and passive leadership behavior. PMID:26441721
Therapeutic Effects of Extinction Learning as a Model of Exposure Therapy in Rats.
Fucich, Elizabeth A; Paredes, Denisse; Morilak, David A
2016-12-01
Current treatments for stress-related psychiatric disorders, such as depression and posttraumatic stress disorder (PTSD), are inadequate. Cognitive behavioral psychotherapies, including exposure therapy, are an alternative to pharmacotherapy, but the neurobiological mechanisms are unknown. Preclinical models demonstrating therapeutic effects of behavioral interventions are required to investigate such mechanisms. Exposure therapy bears similarity to extinction learning. Thus, we investigated the therapeutic effects of extinction learning as a behavioral intervention to model exposure therapy in rats, testing its effectiveness in reversing chronic stress-induced deficits in cognitive flexibility and coping behavior that resemble dimensions of depression and PTSD. Rats were fear-conditioned by pairing a tone with footshock, and then exposed to chronic unpredictable stress (CUS) that induces deficits in cognitive set-shifting and active coping behavior. They then received an extinction learning session as a therapeutic intervention by repeated exposure to the tone with no shock. Effects on cognitive flexibility and coping behavior were assessed 24 h later on the attentional set-shifting test or shock-probe defensive burying test, respectively. Extinction reversed the CUS-induced deficits in cognitive flexibility and coping behavior, and increased phosphorylation of ribosomal protein S6 in the medial prefrontal cortex (mPFC) of stress-compromised rats, suggesting a role for activity-dependent protein synthesis in the therapeutic effect. Inhibiting protein synthesis by microinjecting anisomycin into mPFC blocked the therapeutic effect of extinction on cognitive flexibility. These results demonstrate the utility of extinction as a model by which to study mechanisms underlying exposure therapy, and suggest these mechanisms involve protein synthesis in the mPFC, the further study of which may identify novel therapeutic targets.
Therapeutic Effects of Extinction Learning as a Model of Exposure Therapy in Rats
Fucich, Elizabeth A; Paredes, Denisse; Morilak, David A
2016-01-01
Current treatments for stress-related psychiatric disorders, such as depression and posttraumatic stress disorder (PTSD), are inadequate. Cognitive behavioral psychotherapies, including exposure therapy, are an alternative to pharmacotherapy, but the neurobiological mechanisms are unknown. Preclinical models demonstrating therapeutic effects of behavioral interventions are required to investigate such mechanisms. Exposure therapy bears similarity to extinction learning. Thus, we investigated the therapeutic effects of extinction learning as a behavioral intervention to model exposure therapy in rats, testing its effectiveness in reversing chronic stress-induced deficits in cognitive flexibility and coping behavior that resemble dimensions of depression and PTSD. Rats were fear-conditioned by pairing a tone with footshock, and then exposed to chronic unpredictable stress (CUS) that induces deficits in cognitive set-shifting and active coping behavior. They then received an extinction learning session as a therapeutic intervention by repeated exposure to the tone with no shock. Effects on cognitive flexibility and coping behavior were assessed 24 h later on the attentional set-shifting test or shock-probe defensive burying test, respectively. Extinction reversed the CUS-induced deficits in cognitive flexibility and coping behavior, and increased phosphorylation of ribosomal protein S6 in the medial prefrontal cortex (mPFC) of stress-compromised rats, suggesting a role for activity-dependent protein synthesis in the therapeutic effect. Inhibiting protein synthesis by microinjecting anisomycin into mPFC blocked the therapeutic effect of extinction on cognitive flexibility. These results demonstrate the utility of extinction as a model by which to study mechanisms underlying exposure therapy, and suggest these mechanisms involve protein synthesis in the mPFC, the further study of which may identify novel therapeutic targets. PMID:27417516
Variables, Decisions, and Scripting in Construct
2009-09-01
grounded in sociology and cognitive science which seeks to model the processes and situations by which humans interact and share information...Construct is an embodiment of constructuralism (Carley 1986), a theory which posits that human social structures and cognitive structures co-evolve so that...human cognition reflects human social behavior, and that human social behavior simultaneously influences cognitive processes. Recent work with
The Role of Motivation, Cognition, and Conscientiousness for Academic Achievement
ERIC Educational Resources Information Center
Imhof, Margarete; Spaeth-Hilbert, Tatjana
2013-01-01
Based on a cognitive motivational process model of learning, the impact of studying behavior on learning outcome is investigated. First-year students (N = 488) participated in the study. Two research questions were addressed: (1) Can cognitive-motivational variables and objective study behavior predict individual learning? (2) Which factors drive…
2014-01-01
Background Few studies have investigated associations between psychological and behavioral indices throughout a major epidemic. This study was aimed to compare the strength of associations between different cognitive and affective measures of risk and self-reported protective behaviors in a series of ten cross-sectional surveys conducted throughout the first wave of influenza A/H1N1 pandemic. Methods All surveys were conducted using questionnaire-based telephone interviews, with random digit dialing to recruit adults from the general population. Measures of anxiety and worry (affective) and perceived risk (cognitive) regarding A/H1N1 were made in 10 serial surveys. Multivariate logistic regression models were used to estimate the cognitive/affective-behavioral associations in each survey while multilevel logistic models were conducted to estimate the average effects of each cognitive/affective measure on adoption of protective behaviors throughout the ten surveys. Results Excepting state anxiety, other affective measures including “anticipated worry”, “experienced worry” and “current worry” specific to A/H1N1 risk were consistently and strongly associated with adoption of protective behaviors across different survey periods. However, the cognitive-behavioral associations were weaker and inconsistent across the ten surveys. Perceived A/H1N1 severity relative to SARS had stronger associations with adoption of protective behaviors in the late epidemic periods than in the early epidemic periods. Conclusion Risk-specific worries appear to be significantly associated with the adoption of protective behaviors at different epidemic stages, whereas cognitive measures may become more important in understanding people’s behavioral responses later in epidemics. Future epidemic-related psycho-behavioral research should include more affective-loaded measures of risk. PMID:24674239
Richardson, George B; Hardesty, Patrick
2012-01-01
Researchers have recently applied evolutionary life history theory to the understanding of behaviors often conceived of as prosocial or antisocial. In addition, researchers have applied cognitive science to the understanding of substance use and used dual process models, where explicit cognitive processes are modeled as relatively distinct from implicit cognitive processes, to explain and predict substance use behaviors. In this paper we synthesized these two theoretical perspectives to produce an adaptive and cognitive framework for explaining substance use. We contend that this framework provides new insights into the nature of substance use that may be valuable for both clinicians and researchers.
Toward a model-based cognitive neuroscience of mind wandering.
Hawkins, G E; Mittner, M; Boekel, W; Heathcote, A; Forstmann, B U
2015-12-03
People often "mind wander" during everyday tasks, temporarily losing track of time, place, or current task goals. In laboratory-based tasks, mind wandering is often associated with performance decrements in behavioral variables and changes in neural recordings. Such empirical associations provide descriptive accounts of mind wandering - how it affects ongoing task performance - but fail to provide true explanatory accounts - why it affects task performance. In this perspectives paper, we consider mind wandering as a neural state or process that affects the parameters of quantitative cognitive process models, which in turn affect observed behavioral performance. Our approach thus uses cognitive process models to bridge the explanatory divide between neural and behavioral data. We provide an overview of two general frameworks for developing a model-based cognitive neuroscience of mind wandering. The first approach uses neural data to segment observed performance into a discrete mixture of latent task-related and task-unrelated states, and the second regresses single-trial measures of neural activity onto structured trial-by-trial variation in the parameters of cognitive process models. We discuss the relative merits of the two approaches, and the research questions they can answer, and highlight that both approaches allow neural data to provide additional constraint on the parameters of cognitive models, which will lead to a more precise account of the effect of mind wandering on brain and behavior. We conclude by summarizing prospects for mind wandering as conceived within a model-based cognitive neuroscience framework, highlighting the opportunities for its continued study and the benefits that arise from using well-developed quantitative techniques to study abstract theoretical constructs. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.
ERIC Educational Resources Information Center
Gallagher, Kathryn E.; Parrott, Dominic J.
2011-01-01
Objective: This study provided the first direct test of the cognitive underpinnings of the attention-allocation model and attempted to replicate and extend past behavioral findings for this model as an explanation for alcohol-related aggression. Method: A diverse community sample (55% African American) of men (N = 159) between 21 and 35 years of…
Reconceptualizing emetophobia: a cognitive-behavioral formulation and research agenda.
Boschen, Mark J
2007-01-01
Fear of vomiting (emetophobia) is a poorly understood anxiety disorder, with little research published into its conceptualization or treatment. The current article uses established cognitive and behavioral models of other anxiety disorders as a basis from which to propose a detailed model of emetophobia. The model proposes that emetophobia results from a constellation of factors including a general anxiety-vulnerability factor, a tendency to somatize anxiety as gastrointestinal distress, a tendency to catastrophically misappraise nausea and other gastrointestinal symptoms, hypervigilance to gastrointestinal cues, beliefs about the unacceptability of vomiting, negatively reinforced avoidance behavior, and selective confirmation biases. A formulation-based treatment package for emetophobia is outlined, including arousal management skills, distraction/attention training, exposure and cognitive restructuring.
Anatomy and computational modeling of networks underlying cognitive-emotional interaction
John, Yohan J.; Bullock, Daniel; Zikopoulos, Basilis; Barbas, Helen
2013-01-01
The classical dichotomy between cognition and emotion equated the first with rationality or logic and the second with irrational behaviors. The idea that cognition and emotion are separable, antagonistic forces competing for dominance of mind has been hard to displace despite abundant evidence to the contrary. For instance, it is now known that a pathological absence of emotion leads to profound impairment of decision making. Behavioral observations of this kind are corroborated at the mechanistic level: neuroanatomical studies reveal that brain areas typically described as underlying either cognitive or emotional processes are linked in ways that imply complex interactions that do not resemble a simple mutual antagonism. Instead, physiological studies and network simulations suggest that top–down signals from prefrontal cortex realize “cognitive control” in part by either suppressing or promoting emotional responses controlled by the amygdala, in a way that facilitates adaptation to changing task demands. Behavioral, anatomical, and physiological data suggest that emotion and cognition are equal partners in enabling a continuum or matrix of flexible behaviors that are subserved by multiple brain regions acting in concert. Here we focus on neuroanatomical data that highlight circuitry that structures cognitive-emotional interactions by directly or indirectly linking prefrontal areas with the amygdala. We also present an initial computational circuit model, based on anatomical, physiological, and behavioral data to explicitly frame the learning and performance mechanisms by which cognition and emotion interact to achieve flexible behavior. PMID:23565082
Robitaille, Annie; Garcia, Linda; McIntosh, Cameron
2015-09-01
The current study examines the longitudinal relationship between dementia-related challenging behaviors (e.g., vocal disruption, physical aggression, repetitive behaviors, and restlessness) and cognitive functioning in the long-term care (LTC) context. A multivariate latent growth curve model within the structural equation modeling (SEM) framework was applied to data collected from 16,804 older adults upon admission to LTC and every 3 months for a period of 2.5 years. Increases in challenging behaviors were characterized by a significant positive linear and negative quadratic trend (i.e., a subtle leveling off at later assessment times), whereas increases in cognitive impairment were characterized by a positive linear trend. On average, individuals who were more cognitively impaired upon entry into LTC and who exhibited a steeper increase in cognitive impairment also exhibited more challenging behaviors at entry into LTC and a steeper increase in challenging behaviors, respectively. At the within-person level, individuals demonstrating an increase in cognitive impairment at a specific occasion were also more likely to demonstrate an increase in challenging behaviors at that same occasion; however, the magnitude of these effects was very small, suggesting limited practical implications. This study provides novel empirical evidence about the coevolution of cognitive impairment and challenging behaviors, going beyond prior research that has been either cross-sectional in nature, examined longitudinal change in only 1 variable, or simply looked at linear trends without attempting to explore the possibility of nonlinear change. Most importantly, this longitudinal examination of persons with dementia living in LTC has implications for how challenging behaviors can be better managed and for how new strategies can be implemented to prevent challenging behaviors. (c) 2015 APA, all rights reserved).
Social Differentiation of Sun-Protection Behaviors: The Mediating Role of Cognitive Factors.
Bocquier, Aurélie; Fressard, Lisa; Legleye, Stéphane; Verger, Pierre; Peretti-Watel, Patrick
2016-03-01
Adherence to sun-protection guidelines in developed countries is low, especially among people of low SES. Mechanisms underlying this social differentiation are poorly understood. This study aimed to examine the social differentiation of sun-protection behaviors and of two cognitive factors (knowledge about both sun health and behavioral risk factors for cancer) and to determine if these cognitive factors mediate the association between SES and sun-protection behaviors. Data came from the 2010 Baromètre Cancer survey (analyzed in 2014), a random cross-sectional telephone survey conducted among the French general population (n=3,359 individuals aged 15-75 years). First, bivariate associations between a composite individual SES indicator (based on education level, occupation, and income) and both sun-protection behaviors and cognitive factors were tested with chi-square tests and ANOVA. Then, confirmatory factor analysis and structural equation modeling were used to test the mediating role of cognitive factors with a multiple mediation model including four latent variables. In bivariate analyses, the individual SES indicator was positively associated with sun-protection behaviors and both cognitive factors. Multiple mediation analyses showed that both cognitive factors partially mediated the effect of individual SES on sun-protection behaviors. The overall proportion of mediated effects was 48%. The direct effect of SES remained significant. These results suggest that interventions aimed at modifying the knowledge and perceptions of people of low SES might help to reduce social differentiation of sun-protection behaviors. Further qualitative research is needed to better understand these cognitive factors and develop suitable prevention messages. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.
Neural Dynamics of Autistic Behaviors: Cognitive, Emotional, and Timing Substrates
ERIC Educational Resources Information Center
Grossberg, Stephen; Seidman, Don
2006-01-01
What brain mechanisms underlie autism, and how do they give rise to autistic behavioral symptoms? This article describes a neural model, called the Imbalanced Spectrally Timed Adaptive Resonance Theory (iSTART) model, that proposes how cognitive, emotional, timing, and motor processes that involve brain regions such as the prefrontal and temporal…
ERIC Educational Resources Information Center
Chang, Mido; Park, Boyoung; Singh, Kusum; Sung, Youngji Y.
2009-01-01
The study examined the longitudinal association of parental involvement in Head Start parent-focused programs, parenting behaviors, and the cognitive development of children by specifying two longitudinal growth models. Model 1 examined the longitudinal effects of the parental involvement in three Head Start parenting programs (parenting classes,…
ERIC Educational Resources Information Center
Thomas, Michael S. C.; Forrester, Neil A.; Ronald, Angelica
2016-01-01
In the multidisciplinary field of developmental cognitive neuroscience, statistical associations between levels of description play an increasingly important role. One example of such associations is the observation of correlations between relatively common gene variants and individual differences in behavior. It is perhaps surprising that such…
ERIC Educational Resources Information Center
McMahon, Susan D.; Felix, Erika D.; Halpert, Jane A.; Petropoulos, Lara A. N.
2009-01-01
Past research has shown that exposure to violence leads to aggressive behavior, but few community-based studies have examined theoretical models illustrating the mediating social cognitive processes that explain this relation with youth exposed to high rates of violence. This study examines the impact of community violence on behavior through…
Crowd Modeling in Military Simulations: Requirements Analysis, Survey, and Design Study
2003-04-01
Survey, Crowd Simulation Federate 16. SECURITY CLASSIFICATION OF: 17. LIMITATION 18. NUMBER 19a. NAME OF RESPONSIBLE PERSON OF ABSTRACT OF PAGES John L...models of crowds and crowd behavior are essentially absent from current production military simulations. The absence of models of crowds in military...understanding of cognitive psychology, including better connection of cognition to behavior, is essential to provide a psychological basis for crowd models
Integrating Cognitive Task Analysis into Instructional Systems Development.
ERIC Educational Resources Information Center
Ryder, Joan M.; Redding, Richard E.
1993-01-01
Discussion of instructional systems development (ISD) focuses on recent developments in cognitive task analysis and describes the Integrated Task Analysis Model, a framework for integrating cognitive and behavioral task analysis methods within the ISD model. Three components of expertise are analyzed: skills, knowledge, and mental models. (96…
On the necessity of U-shaped learning.
Carlucci, Lorenzo; Case, John
2013-01-01
A U-shaped curve in a cognitive-developmental trajectory refers to a three-step process: good performance followed by bad performance followed by good performance once again. U-shaped curves have been observed in a wide variety of cognitive-developmental and learning contexts. U-shaped learning seems to contradict the idea that learning is a monotonic, cumulative process and thus constitutes a challenge for competing theories of cognitive development and learning. U-shaped behavior in language learning (in particular in learning English past tense) has become a central topic in the Cognitive Science debate about learning models. Antagonist models (e.g., connectionism versus nativism) are often judged on their ability of modeling or accounting for U-shaped behavior. The prior literature is mostly occupied with explaining how U-shaped behavior occurs. Instead, we are interested in the necessity of this kind of apparently inefficient strategy. We present and discuss a body of results in the abstract mathematical setting of (extensions of) Gold-style computational learning theory addressing a mathematically precise version of the following question: Are there learning tasks that require U-shaped behavior? All notions considered are learning in the limit from positive data. We present results about the necessity of U-shaped learning in classical models of learning as well as in models with bounds on the memory of the learner. The pattern emerges that, for parameterized, cognitively relevant learning criteria, beyond very few initial parameter values, U-shapes are necessary for full learning power! We discuss the possible relevance of the above results for the Cognitive Science debate about learning models as well as directions for future research. Copyright © 2013 Cognitive Science Society, Inc.
Van Hoomissen, Jacqueline; Kunrath, Julie; Dentlinger, Renee; Lafrenz, Andrew; Krause, Mark; Azar, Afaf
2011-09-12
Despite the evidence that exercise improves cognitive behavior in animal models, little is known about these beneficial effects in animal models of pathology. We examined the effects of activity wheel (AW) running on contextual fear conditioning (CFC) and locomotor/exploratory behavior in the olfactory bulbectomy (OBX) model of depression, which is characterized by hyperactivity and changes in cognitive function. Twenty-four hours after the conditioning session of the CFC protocol, the animals were tested for the conditioned response in a conditioned and a novel context to test for the effects of both AW and OBX on CFC, but also the context specificity of the effect. OBX reduced overall AW running behavior throughout the experiment, but increased locomotor/exploratory behavior during CFC, thus demonstrating a context-dependent effect. OBX animals, however, displayed normal CFC behavior that was context-specific, indicating that aversively conditioned memory is preserved in this model. AW running increased freezing behavior during the testing session of the CFC protocol in the control animals but only in the conditioned context, supporting the hypothesis that AW running improves cognitive function in a context-specific manner that does not generalize to an animal model of pathology. Blood corticosterone levels were increased in all animals at the conclusion of the testing sessions, but levels were higher in AW compared to sedentary groups indicating an effect of exercise on neuroendocrine function. Given the differential results of AW running on behavior and neuroendocrine function after OBX, further exploration of the beneficial effects of exercise in animal models of neuropathology is warranted. Copyright © 2011 Elsevier B.V. All rights reserved.
ERIC Educational Resources Information Center
Toker, Betül; Avci, Rasit
2015-01-01
This study examined the effectiveness of a cognitive-behavioral theory (CBT) psycho-educational group program on the academic procrastination behaviors of university students and the persistence of any training effect. This was a quasi-experimental research based on an experimental and control group pretest, posttest, and followup test model.…
Kundap, Uday P.; Kumari, Yatinesh; Othman, Iekhsan; Shaikh, Mohd. Farooq
2017-01-01
Epilepsy is a neuronal disorder allied with distinct neurological and behavioral alterations characterized by recurrent spontaneous epileptic seizures. Impairment of the cognitive performances such as learning and memory is frequently observed in epileptic patients. Anti-epileptic drugs (AEDs) are efficient to the majority of patients. However, 30% of this population seems to be refractory to the drug treatment. These patients are not seizure-free and frequently they show impaired cognitive functions. Unfortunately, as a side effect, some AEDs could contribute to such impairment. The major problem associated with conducting studies on epilepsy-related cognitive function is the lack of easy, rapid, specific and sensitive in vivo testing models. However, by using a number of different techniques and parameters in the zebrafish, we can incorporate the unique feature of specific disorder to study the molecular and behavior basis of this disease. In the view of current literature, the goal of the study was to develop a zebrafish model of epilepsy induced cognitive dysfunction. In this study, the effect of AEDs on locomotor activity and seizure-like behavior was tested against the pentylenetetrazole (PTZ) induced seizures in zebrafish and epilepsy associated cognitive dysfunction was determined using T-maze test followed by neurotransmitter estimation and gene expression analysis. It was observed that all the AEDs significantly reversed PTZ induced seizure in zebrafish, but had a negative impact on cognitive functions of zebrafish. AEDs were found to modulate neurotransmitter levels, especially GABA, glutamate, and acetylcholine and gene expression in the drug treated zebrafish brains. Therefore, combination of behavioral, neurochemical and genenetic information, makes this model a useful tool for future research and discovery of newer and safer AEDs. PMID:28824436
The paradox of cognitive flexibility in autism
Geurts, Hilde M.; Corbett, Blythe; Solomon, Marjorie
2017-01-01
We present an overview of current literature addressing cognitive flexibility in autism spectrum disorders. Based on recent studies at multiple sites, using diverse methods and participants of different autism subtypes, ages and cognitive levels, no consistent evidence for cognitive flexibility deficits was found. Researchers and clinicians assume that inflexible everyday behaviors in autism are directly related to cognitive flexibility deficits as assessed by clinical and experimental measures. However, there is a large gap between the day-to-day behavioral flexibility and that measured with these cognitive flexibility tasks. To advance the field, experimental measures must evolve to reflect mechanistic models of flexibility deficits. Moreover, ecologically valid measures are required to be able to resolve the paradox between cognitive and behavioral inflexibility. PMID:19138551
Cognitive Load and Classroom Teaching: The Double-Edged Sword of Automaticity
ERIC Educational Resources Information Center
Feldon, David F.
2007-01-01
Research in the development of teacher cognition and teaching performance in K-12 classrooms has identified consistent challenges and patterns of behavior that are congruent with the predictions of dual-process models of cognition. However, cognitive models of information processing are not often used to synthesize these results. This article…
Behavioral assays with mouse models of Alzheimer’s disease: practical considerations and guidelines
Puzzo, Daniela; Lee, Linda; Palmeri, Agostino; Calabrese, Giorgio; Arancio, Ottavio
2014-01-01
In Alzheimer’s disease (AD) basic research and drug discovery, mouse models are essential resources for uncovering biological mechanisms, validating molecular targets and screening potential compounds. Both transgenic and non-genetically modified mouse models enable access to different types of AD-like pathology in vivo. Although there is a wealth of genetic and biochemical studies on proposed AD pathogenic pathways, as a disease that centrally features cognitive failure, the ultimate readout for any interventions should be measures of learning and memory. This is particularly important given the lack of knowledge on disease etiology – assessment by cognitive assays offers the advantage of targeting relevant memory systems without requiring assumptions about pathogenesis. A multitude of behavioral assays are available for assessing cognitive functioning in mouse models, including ones specific for hippocampal-dependent learning and memory. Here we review the basics of available transgenic and non-transgenic AD mouse models and detail three well-established behavioral tasks commonly used for testing hippocampal-dependent cognition in mice – contextual fear conditioning, radial arm water maze and Morris water maze. In particular, we discuss the practical considerations, requirements and caveats of these behavioral testing paradigms. PMID:24462904
The oxytocin system in drug discovery for autism: Animal models and novel therapeutic strategies
Modi, Meera E.; Young, Larry J.
2012-01-01
Animal models and behavioral paradigms are critical for elucidating the neural mechanism involved in complex behaviors, including social cognition. Both genotype and phenotype based models have implicated the neuropeptide oxytocin (OT) in the regulation of social behavior. Based on the findings in animal models, alteration of the OT system has been hypothesized to play a role in the social deficits associated with autism and other neuropsychiatric disorders. While the evidence linking the peptide to the etiology of the disorder is not yet conclusive, evidence from multiple animal models suggest modulation of the OT system may be a viable strategy for the pharmacological treatment of social deficits. In this review, we will discuss how animal models have been utilized to understand the role of OT in social cognition and how those findings can be applied to the conceptualization and treatment of the social impairments in ASD. Animal models with genetic alterations of the OT system, like the OT, OT receptor and CD38 knock-out mice, and those with phenotypic variation in social behavior, like BTBR inbred mice and prairie voles, coupled with behavioral paradigms with face and construct validity may prove to have predictive validity for identifying the most efficacious methods of stimulating the OT system to enhance social cognition in humans. The widespread use of strong animal models of social cognition has the potential yield pharmacological, interventions for the treatment social impairments psychiatric disorders. This article is part of a Special Issue entitled Oxytocin, Vasopressin, and Social Behavior. PMID:22206823
Teti, Douglas M; Crosby, Brian
2012-01-01
Mechanisms were examined to clarify relations between maternal depressive symptoms, dysfunctional cognitions, and infant night waking among 45 infants (1-24 months) and their mothers. A mother-driven mediational model was tested in which maternal depressive symptoms and dysfunctional cognitions about infant sleep predicted infant night waking via their impact on mothers' bedtime and nighttime behavior with infants (from video). Two infant-driven mediational models were also examined, in which infant night waking predicted maternal depressive symptoms, or dysfunctional cognitions, via their impact on nighttime maternal behavior. Stronger support for the mother-driven model was obtained, which was further supported by qualitative observations from video-recordings. This study provides important insights about maternal depression's effects on nighttime parenting, and how such parenting affects infant sleep. © 2012 The Authors. Child Development © 2012 Society for Research in Child Development, Inc.
An Estimation Procedure for the Structural Parameters of the Unified Cognitive/IRT Model.
ERIC Educational Resources Information Center
Jiang, Hai; And Others
L. V. DiBello, W. F. Stout, and L. A. Roussos (1993) have developed a new item response model, the Unified Model, which brings together the discrete, deterministic aspects of cognition favored by cognitive scientists, and the continuous, stochastic aspects of test response behavior that underlie item response theory (IRT). The Unified Model blends…
Cognitive behavioral approach to understanding irritable bowel syndrome
Hauser, Goran; Pletikosic, Sanda; Tkalcic, Mladenka
2014-01-01
Irritable bowel syndrome (IBS) is considered a biopsychosocial disorder, whose onset and precipitation are a consequence of interaction among multiple factors which include motility disturbances, abnormalities of gastrointestinal sensation, gut inflammation and infection, altered processing of afferent sensory information, psychological distress, and affective disturbances. Several models have been proposed in order to describe and explain IBS, each of them focusing on specific aspects or mechanisms of the disorder. This review attempts to present and discuss different determinants of IBS and its symptoms, from a cognitive behavioral therapy framework, distinguishing between the developmental predispositions and precipitants of the disorder, and its perpetuating cognitive, behavioral, affective and physiological factors. The main focus in understanding IBS will be placed on the numerous psychosocial factors, such as personality traits, early experiences, affective disturbances, altered attention and cognitions, avoidance behavior, stress, coping and social support. In conclusion, a symptom perpetuation model is proposed. PMID:24944466
A social cognitive-based model for condom use among college students.
Dilorio, C; Dudley, W N; Soet, J; Watkins, J; Maibach, E
2000-01-01
Social cognitive theory has been used extensively to explain health behaviors. Although the influence of one construct in this model-self-efficacy-has been well established, the role of other social cognitive constructs has not received as much attention in human immunodeficiency virus (HIV) prevention research. More complete understanding of how social cognitive constructs operate together to explain condom use behaviors would be useful in developing HIV and sexually transmitted disease (STD) prevention programs for college students. The primary aim of this study was to test a social cognitive-based model of condom use behaviors among college students. Data were collected from a sample of college students attending six different colleges and universities. Participants were 18 to 25 years of age, single, and sexually active. For the sample of 1,380 participants, the mean age was 20.6 years (SD = 1.76). Most participants reported having had vaginal intercourse (95.8%) and oral sex (86.5%); 16% reported anal sex. Self-efficacy was related directly to condom use behaviors and indirectly through its effect on outcome expectancies. As predicted, self-efficacy was related to anxiety, but anxiety was not related to condom use. Substance use during sexual encounters was related to outcome expectancies but not to condom use as predicted. Overall, the findings lend support to a condom use model based on social cognitive theory and provide implications for HIV interventions. Interventions that focus on self-efficacy are more likely to reduce anxiety related to condom use, increase positive perceptions about condoms, and increase the likelihood of adopting condom use behaviors.
Koziol, Leonard F; Budding, Deborah Ely; Chidekel, Dana
2010-12-01
Current cortico-centric models of cognition lack a cohesive neuroanatomic framework that sufficiently considers overlapping levels of function, from "pathological" through "normal" to "gifted" or exceptional ability. While most cognitive theories presume an evolutionary context, few actively consider the process of adaptation, including concepts of neurodevelopment. Further, the frequent co-occurrence of "gifted" and "pathological" function is difficult to explain from a cortico-centric point of view. This comprehensive review paper proposes a framework that includes the brain's vertical organization and considers "giftedness" from an evolutionary and neurodevelopmental vantage point. We begin by discussing the current cortico-centric model of cognition and its relationship to intelligence. We then review an integrated, dual-tiered model of cognition that better explains the process of adaptation by simultaneously allowing for both stimulus-based processing and higher-order cognitive control. We consider the role of the basal ganglia within this model, particularly in relation to reward circuitry and instrumental learning. We review the important role of white matter tracts in relation to speed of adaptation and development of behavioral mastery. We examine the cerebellum's critical role in behavioral refinement and in cognitive and behavioral automation, particularly in relation to expertise and giftedness. We conclude this integrated model of brain function by considering the savant syndrome, which we believe is best understood within the context of a dual-tiered model of cognition that allows for automaticity in adaptation as well as higher-order executive control.
A Quasi-Linear Behavioral Model and an Application to Self-Directed Learning
NASA Technical Reports Server (NTRS)
Ponton, Michael K.; Carr, Paul B.
1999-01-01
A model is presented that describes the relationship between one's knowledge of the world and the concomitant personal behaviors that serve as a mechanism to obtain desired outcomes. Integrated within this model are the differing roles that outcomes serve as motivators and as modifiers to one's worldview. The model is dichotomized between general and contextual applications. Because learner self-directedness (a personal characteristic) involves cognition and affection while self-directed learning (a pedagogic process) encompasses conation, behavior and introspection, the model can be dichotomized again in another direction. Presented also are the roles that cognitive motivation theories play in moving an individual through this behavioral model and the roles of wishes, self-efficacy, opportunity and self-influence.
ERIC Educational Resources Information Center
Poehlmann, Julie; Hane, Amanda; Burnson, Cynthia; Maleck, Sarah; Hamburger, Elizabeth; Shah, Prachi E.
2012-01-01
Background: The differential susceptibility (DS) model suggests that temperamentally prone-to-distress infants may exhibit adverse outcomes in negative environments but optimal outcomes in positive environments. This study explored temperament, parenting, and 36-month cognition and behavior in preterm infants using the DS model. We hypothesized…
Garland, Eric L.; Boettiger, Charlotte A.; Howard, Matthew O.
2011-01-01
This paper proposes a novel hypothetical model integrating formerly discrete theories of stress appraisal, neurobiological allostasis, automatic cognitive processing, and addictive behavior to elucidate how alcohol misuse and dependence are maintained and re-activated by stress. We outline a risk chain in which psychosocial stress initiates physiological arousal, perseverative cognition, and negative affect that, in turn, triggers automatized schema to compel alcohol consumption. This implicit cognitive process then leads to attentional biases toward alcohol, subjective experiences of craving, paradoxical increases in arousal and alcohol-related cognitions due to urge suppression, and palliative coping through drinking. When palliative coping relieves distress, it results in negative reinforcement conditioning that perpetuates the cycle by further sensitizing the system to future stressful encounters. This model has implications for development and implementation of innovative behavioral interventions (such as mindfulness training) that disrupt cognitive-affective mechanisms underpinning stress-precipitated dependence on alcohol. PMID:21354711
Cognitive Affective Engagement Model of Multiple Source Use
ERIC Educational Resources Information Center
List, Alexandra; Alexander, Patricia A.
2017-01-01
This article introduces the cognitive affective engagement model (CAEM) of multiple source use. The CAEM is presented as a way of unifying cognitive and behaviorally focused models of multiple text engagement with research on the role of affective factors (e.g., interest) in text processing. The CAEM proposes that students' engagement with…
Harada, Kazuhiro; Lee, Sangyoon; Shimada, Hiroyuki; Lee, Sungchul; Bae, Seongryu; Anan, Yuya; Harada, Kenji; Suzuki, Takao
2017-08-01
Detecting cognitive impairment in the earlier stages is important for preventing or delaying dementia. To develop intervention strategies that promote screening for cognitive impairment, it is essential to identify the modifiable predictors for participation in screening. The present study examined whether participation in screening for cognitive impairment was predicted by the constructs of the health belief model, dementia worry and behavioral intentions to undergo screening among older adults. The study used a prospective design. After a baseline questionnaire survey, participation in screening for cognitive impairment was followed for 6 months (n = 10 023). Participation in the screening, constructs of the health belief model (perceived susceptibility to dementia, perceived severity of dementia, perceived benefits of screening, perceived barriers to screening), dementia worry, behavioral intentions and demographic factors were measured. A path analysis showed that the behavioral intention to undergo screening (path coefficient = 0.29) directly predicted participation in screening for cognitive impairment, whereas other psychological and demographic factors did not directly predict participation. The behavioral intention was explained by the perceived benefits of screening (path coefficient = 0.51), perceived barriers to screening (path coefficient = -0.19) and perceived susceptibility to dementia (path coefficient = 0.16). Participation in screening for cognitive impairment was positively predicted by higher behavioral intention to undergo screening. In turn, this behavioral intention was mainly predicted by the perceived benefits of screening among older adults. These findings suggest that emphasizing the perceived benefits and encouraging behavioral intentions might promote participation in screening for cognitive impairment. Geriatr Gerontol Int 2017; 17: 1197-1204. © 2016 Japan Geriatrics Society.
Cognitive Function as a Trans-Diagnostic Treatment Target in Stimulant Use Disorders
Sofuoglu, Mehmet; DeVito, Elise E.; Waters, Andrew J.; Carroll, Kathleen M.
2016-01-01
Stimulant use disorder is an important public health problem, with an estimated 2.1 million current users in the United States alone. No pharmacological treatments are approved by the U.S. Food and Drug Administration (FDA) for stimulant use disorder and behavioral treatments have variable efficacy and limited availability. Most individuals with stimulant use disorder have other comorbidities, most with overlapping symptoms and cognitive impairments. The goal of this article is to present a rationale for cognition as a treatment target in stimulant use disorder, and to outline potential treatment approaches. Rates of lifetime comorbid psychiatric disorders among people with stimulant use disorders are estimated at 65% - 73%, with the most common being mood disorders (13% - 64%) and anxiety disorders (21% - 50%), as well as non-substance induced psychotic disorders (under 10%). There are several models of addictive behavior, but the dual process model particularly highlights the relevance of cognitive impairments and biases to the development and maintenance of addiction. This model explains addictive behavior as a balance between automatic processes and executive control, which in turn are related to individual (genetics, comorbid disorders, psychosocial factors) and other (craving, triggers, drug use) factors. Certain cognitive impairments, such as attentional bias and approach bias, are most relevant to automatic processes, while sustained attention, response inhibition, and working memory are primarily related to executive control. These cognitive impairments and biases are also common in disorders frequently comorbid with stimulant use disorder, and predict poor treatment retention and clinical outcomes. As such, they may serve as feasible trans-diagnostic treatment targets. There are promising pharmacological, cognitive, and behavioral approaches that aim to enhance cognitive function. Pharmacotherapies target cognitive impairments associated with executive control and include cholinesterase inhibitors (e.g., galantamine, rivastigmine) and monoamine transporter inhibitors (e.g., modafinil, methylphenidate). Cognitive behavioral therapy and cognitive rehabilitation also enhance executive control, while cognitive bias modification targets impairments associated with automatic processes. Cognitive enhancements to improve treatment outcomes is a novel and promising strategy, but its clinical value for the treatment of stimulant use disorder, with or without other psychiatric comorbidities, remains to be determined in future studies. PMID:26828702
Wijeakumar, Sobanawartiny; Ambrose, Joseph P.; Spencer, John P.; Curtu, Rodica
2017-01-01
A fundamental challenge in cognitive neuroscience is to develop theoretical frameworks that effectively span the gap between brain and behavior, between neuroscience and psychology. Here, we attempt to bridge this divide by formalizing an integrative cognitive neuroscience approach using dynamic field theory (DFT). We begin by providing an overview of how DFT seeks to understand the neural population dynamics that underlie cognitive processes through previous applications and comparisons to other modeling approaches. We then use previously published behavioral and neural data from a response selection Go/Nogo task as a case study for model simulations. Results from this study served as the ‘standard’ for comparisons with a model-based fMRI approach using dynamic neural fields (DNF). The tutorial explains the rationale and hypotheses involved in the process of creating the DNF architecture and fitting model parameters. Two DNF models, with similar structure and parameter sets, are then compared. Both models effectively simulated reaction times from the task as we varied the number of stimulus-response mappings and the proportion of Go trials. Next, we directly simulated hemodynamic predictions from the neural activation patterns from each model. These predictions were tested using general linear models (GLMs). Results showed that the DNF model that was created by tuning parameters to capture simultaneously trends in neural activation and behavioral data quantitatively outperformed a Standard GLM analysis of the same dataset. Further, by using the GLM results to assign functional roles to particular clusters in the brain, we illustrate how DNF models shed new light on the neural populations’ dynamics within particular brain regions. Thus, the present study illustrates how an interactive cognitive neuroscience model can be used in practice to bridge the gap between brain and behavior. PMID:29118459
Rendina, H. Jonathon
2015-01-01
The literature on sexual decision making that has been used to understand behaviors relevant to HIV and STI risk has relied primarily on cognitive antecedents of behavior. In contrast, several prominent models of decision making outside of the sexual behavior literature rely on dual process models, in which both affective and cognitive processing are considered important precursors to behavior. Moreover, much of the literature on sexual behavior utilizes individual-level traits and characteristics to predict aggregated sexual behavior, despite decision making itself being a situational or event-level process. This paper proposes a framework for understanding sexual decision making as the result of dual processes (affective and cognitive) operating at dual level of influence (individual and situational). Finally, the paper ends with a discussion of the conceptual and methodological benefits and challenges to its use and future directions for research. PMID:26168978
Prefrontal Cortex and Social Cognition in Mouse and Man
Bicks, Lucy K.; Koike, Hiroyuki; Akbarian, Schahram; Morishita, Hirofumi
2015-01-01
Social cognition is a complex process that requires the integration of a wide variety of behaviors, including salience, reward-seeking, motivation, knowledge of self and others, and flexibly adjusting behavior in social groups. Not surprisingly, social cognition represents a sensitive domain commonly disrupted in the pathology of a variety of psychiatric disorders including Autism Spectrum Disorder (ASD) and Schizophrenia (SCZ). Here, we discuss convergent research from animal models to human disease that implicates the prefrontal cortex (PFC) as a key regulator in social cognition, suggesting that disruptions in prefrontal microcircuitry play an essential role in the pathophysiology of psychiatric disorders with shared social deficits. We take a translational perspective of social cognition, and review three key behaviors that are essential to normal social processing in rodents and humans, including social motivation, social recognition, and dominance hierarchy. A shared prefrontal circuitry may underlie these behaviors. Social cognition deficits in animal models of neurodevelopmental disorders like ASD and SCZ have been linked to an altered balance of excitation and inhibition (E/I ratio) within the cortex generally, and PFC specifically. A clear picture of the mechanisms by which altered E/I ratio in the PFC might lead to disruptions of social cognition across a variety of behaviors is not well understood. Future studies should explore how disrupted developmental trajectory of prefrontal microcircuitry could lead to altered E/I balance and subsequent deficits in the social domain. PMID:26635701
Racz, Sarah Jensen; Putnick, Diane L; Suwalsky, Joan T D; Hendricks, Charlene; Bornstein, Marc H
2017-08-01
Children's and adolescents' cognitive abilities, social adaptation, and externalizing behaviors are broadly associated with each other at the bivariate level; however, the direction, ordering, and uniqueness of these associations have yet to be identified. Developmental cascade models are particularly well-suited to (1) discern unique pathways among psychological domains and (2) model stability in and covariation among constructs, allowing for conservative tests of longitudinal associations. The current study aimed to identify specific cascade effects among children's cognitive abilities, social adaptation, and externalizing behaviors, beginning in preschool and extending through adolescence. Children (46.2 % female) and mothers (N = 351 families) provided data when children were 4, 10, and 14 years old. Cascade effects highlighted significant stability in these domains. Unique longitudinal associations were identified between (1) age-10 cognitive abilities and age-14 social adaptation, (2) age-4 social adaptation and age-10 externalizing behavior, and (3) age-10 externalizing behavior and age-14 social adaptation. These findings suggest that children's social adaptation in preschool and externalizing behavior in middle childhood may be ideal intervention targets to enhance adolescent well-being.
NASA Astrophysics Data System (ADS)
Sharpanskykh, Alexei; Treur, Jan
Employing rich internal agent models of actors in large-scale socio-technical systems often results in scalability issues. The problem addressed in this paper is how to improve computational properties of a complex internal agent model, while preserving its behavioral properties. The problem is addressed for the case of an existing affective-cognitive decision making model instantiated for an emergency scenario. For this internal decision model an abstracted behavioral agent model is obtained, which ensures a substantial increase of the computational efficiency at the cost of approximately 1% behavioural error. The abstraction technique used can be applied to a wide range of internal agent models with loops, for example, involving mutual affective-cognitive interactions.
Marques, Sofia; Barrocas, Daniel; Rijo, Daniel
2017-04-28
Borderline personality disorder is the most common personality disorder, with a global prevalence rate between 1.6% and 6%. It is characterized by affective disturbance and impulsivity, which lead to a high number of self-harm behaviors and great amount of health services use. International guidelines recommend psychotherapy as the primary treatment for borderline personality disorder. This paper reviews evidence about the effects and efficacy of cognitive-behavioral oriented psychological treatments for borderline personality disorder. A literature review was conducted in Medline and PubMed databases, using the following keywords: borderline personality disorder, cognitive-behavioral psychotherapy and efficacy. Sixteen randomized clinical trials were evaluate in this review, which analyzed the effects of several cognitive-behavioral oriented psychotherapeutic interventions, namely dialectical behavioral therapy, cognitive behavioral therapy, schema-focused therapy and manual-assisted cognitive therapy. All above stated treatments showed clinical beneficial effects, by reducing borderline personality disorder core pathology and associated general psychopathology, as well as by reducing the severity and frequency of self-harm behaviors, and by improving the overall social, interpersonal and global adjustment. Dialectical behavioral therapy and schema-focused therapy also caused a soaring remission rate of diagnostic borderline personality disorder criteria of 57% and 94%, respectively. Although there were differences between the psychotherapeutic interventions analysed in this review, all showed clinical benefits in the treatment of borderline personality disorder. Dialectical behavioral therapy and schema-focused therapy presented the strongest scientific data documenting their efficacy, but both interventions are integrative cognitive-behavioral therapies which deviate from the traditional cognitive-behavioral model. In summary, the available studies support cognitive-behavioral psychological treatments as an efficacious intervention in borderline personality disorder. However, the existing scientific literature on this topic is still scarce and there is need for more studies, with higher methodological rigor, that should validate these results.
Edwards, Meghan K; Loprinzi, Paul D
2017-01-01
Examine the independent association of sedentary behavior and cognitive function in older adults, as well as whether physical activity attenuates this potential association. Data from the 1999-2002 National Health and Nutrition Examination Survey were used (N = 2472 adults 60 to 85 yrs). Sedentary behavior was subjectively assessed and the Digit Symbol Substitution Test (DSST) was employed to assess cognitive function. Among an unadjusted and an adjusted model not accounting for physical activity, only 5+ hrs/day (vs. < 1 hr) of sedentary time was independently associated with lower DSST scores (β = -3.1; 95% CI: -5.8 to -0.4; P= .02). However, a fully adjusted model (adding in moderate-to-vigorous physical activity as a covariate) did not yield a statistically significant association between 5+ hrs/day of sedentary time and DSST scores (β = -2.5; 95% CI: -5.1 to 0.2; P = .07). Accumulated daily sedentary behavior of 5+ hrs is associated with lower cognitive function in an older adult population when physical activity is not taken into account. However, physical activity may account for 19% of the total association between sedentary behavior and cognitive function, thus attenuating the sedentary-cognitive function association. Efforts should be made to promote physical activity in the aging population.
Artistic creativity and dementia.
Miller, Zachary A; Miller, Bruce L
2013-01-01
Artistic ability and creativity are defining characteristics of human behavior. Behavioral neurology, as a specialty, believes that even the most complex behaviors can be modeled and understood as the summation of smaller cognitive functions. Literature from individuals with specific brain lesions has helped to map out these smaller regions of cognitive abilities. More recently, models based on neurodegenerative conditions, especially from the frontotemporal dementias, have allowed for greater nuanced investigations into the various functional anatomies necessary for artistic behavior and possibly the underlying networks that promote creativity. © 2013 Elsevier B.V. All rights reserved.
Implicit Cognition and Addiction: A Tool for Explaining Paradoxical Behavior
Stacy, Alan W.; Wiers, Reinout W.
2012-01-01
Research on implicit cognition and addiction has expanded greatly during the past decade. This research area provides new ways to understand why people engage in behaviors that they know are harmful or counterproductive in the long run. Implicit cognition takes a different view from traditional cognitive approaches to addiction by assuming that behavior is often not a result of a reflective decision that takes into account the pros and cons known by the individual. Instead of a cognitive algebra integrating many cognitions relevant to choice, implicit cognition assumes that the influential cognitions are the ones that are spontaneously activated during critical decision points. This selective review highlights many of the consistent findings supporting predictive effects of implicit cognition on substance use and abuse in adolescents and adults; reveals a recent integration with dual-process models; outlines the rapid evolution of different measurement tools; and introduces new routes for intervention. PMID:20192786
Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
Kent, Brendon W.; Yang, Fang-Chi; Burwell, Rebecca D.
2014-01-01
Neuropsychological tasks used in primates to investigate mechanisms of learning and memory are typically visually guided cognitive tasks. We have developed visual cognitive tasks for rats using the Floor Projection Maze1,2 that are optimized for visual abilities of rats permitting stronger comparisons of experimental findings with other species. In order to investigate neural correlates of learning and memory, we have integrated electrophysiological recordings into fully automated cognitive tasks on the Floor Projection Maze1,2. Behavioral software interfaced with an animal tracking system allows monitoring of the animal's behavior with precise control of image presentation and reward contingencies for better trained animals. Integration with an in vivo electrophysiological recording system enables examination of behavioral correlates of neural activity at selected epochs of a given cognitive task. We describe protocols for a model system that combines automated visual presentation of information to rodents and intracranial reward with electrophysiological approaches. Our model system offers a sophisticated set of tools as a framework for other cognitive tasks to better isolate and identify specific mechanisms contributing to particular cognitive processes. PMID:24638057
Lavoie, Marc E; Leclerc, Julie; O’Connor, Kieron P
2013-01-01
SUMMARY Cognitive neuroscience and clinical psychology have long been considered to be separate disciplines. However, the phenomenon of brain plasticity in the context of a psychological intervention highlights the mechanisms of brain compensation and requires linking both clinical cognition and cognitive psychophysiology. A quantifiable normalization of brain activity seems to be correlated with an improvement of the tic symptoms after cognitive behavioral therapy in patients with Gilles de la Tourette syndrome (GTS). This article presents broad outlines of the state of the current literature in the field of GTS. We present our clinical research model and methodology for the integration of cognitive neuroscience in the psychological evaluation and treatment of GTS to manage chronic tic symptoms. PMID:24795782
Lavoie, Marc E; Leclerc, Julie; O'Connor, Kieron P
2013-02-01
Cognitive neuroscience and clinical psychology have long been considered to be separate disciplines. However, the phenomenon of brain plasticity in the context of a psychological intervention highlights the mechanisms of brain compensation and requires linking both clinical cognition and cognitive psychophysiology. A quantifiable normalization of brain activity seems to be correlated with an improvement of the tic symptoms after cognitive behavioral therapy in patients with Gilles de la Tourette syndrome (GTS). This article presents broad outlines of the state of the current literature in the field of GTS. We present our clinical research model and methodology for the integration of cognitive neuroscience in the psychological evaluation and treatment of GTS to manage chronic tic symptoms.
Simulating Human Cognition in the Domain of Air Traffic Control
NASA Technical Reports Server (NTRS)
Freed, Michael; Johnston, James C.; Null, Cynthia H. (Technical Monitor)
1995-01-01
Experiments intended to assess performance in human-machine interactions are often prohibitively expensive, unethical or otherwise impractical to run. Approximations of experimental results can be obtained, in principle, by simulating the behavior of subjects using computer models of human mental behavior. Computer simulation technology has been developed for this purpose. Our goal is to produce a cognitive model suitable to guide the simulation machinery and enable it to closely approximate a human subject's performance in experimental conditions. The described model is designed to simulate a variety of cognitive behaviors involved in routine air traffic control. As the model is elaborated, our ability to predict the effects of novel circumstances on controller error rates and other performance characteristics should increase. This will enable the system to project the impact of proposed changes to air traffic control procedures and equipment on controller performance.
Walters, Glenn D; Espelage, Dorothy L
2018-06-21
Psychological inertia, the process by which social-cognitive variables help maintain behavioral patterns over time, has been found to explain crime continuity. The present study sought to determine whether psychological inertia can also be used to explain continuity in bullying behavior. A group of 1,161 youth (567 male) from the Illinois Study of Bullying and Sexual Violence were surveyed 3 times over a period of 1 year in an effort to determine which of two dimensions of precriminal cognition-cognitive insensitivity (callous, self-serving) or cognitive impulsivity (reckless, emotional)-mediated the past bullying-future bullying relationship. Consistent with research on crime continuity, cognitive impulsivity mediated bullying continuity, but cognitive insensitivity did not. Congruent with research on psychological inertia and crime continuity, the main reason why cognitive insensitivity did not mediate bullying continuity was that prior bullying behavior failed to predict subsequent cognitive insensitivity. In addition to providing support for a 2-dimensional (insensitivity, impulsivity) model of bullying development, these results suggest that 1 way bullying behavior can be managed is by challenging and reducing cognitive impulsivity, which in the current study was found to be a major contributor to bullying continuity. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Tai, Sara; Turkington, Douglas
2009-09-01
Cognitive behavior therapy (CBT) evolved from behavioral theory and developed to focus more on cognitive models that incorporated reappraisal of thinking errors and schema change strategies. This article will describe the key elements of CBT for schizophrenia and the current evidence of its efficacy and effectiveness. We conclude with a description of recent concepts that extend the theoretical basis of practice and expand the range of CBT strategies for use in schizophrenia. Mindfulness, meta-cognitive approaches, compassionate mind training, and method of levels are postulated as useful adjuncts for CBT with psychotic patients.
Tai, Sara; Turkington, Douglas
2009-01-01
Cognitive behavior therapy (CBT) evolved from behavioral theory and developed to focus more on cognitive models that incorporated reappraisal of thinking errors and schema change strategies. This article will describe the key elements of CBT for schizophrenia and the current evidence of its efficacy and effectiveness. We conclude with a description of recent concepts that extend the theoretical basis of practice and expand the range of CBT strategies for use in schizophrenia. Mindfulness, meta-cognitive approaches, compassionate mind training, and method of levels are postulated as useful adjuncts for CBT with psychotic patients. PMID:19661198
History of Cognitive-Behavioral Therapy (CBT) in Youth
Benjamin, Courtney L.; Puleo, Connor M.; Settipani, Cara A.; Brodman, Douglas M.; Edmunds, Julie M.; Cummings, Colleen M.
2011-01-01
Synopsis CBT represents a combination of behavioral and cognitive theories of human behavior and psychopathology, and a melding of emotional, familial, and peer influences. The numerous intervention strategies that comprise CBT reflect its complex and integrative nature and include such topics as extinction, habituation, modeling, cognitive restructuring, problem-solving, and the development of coping strategies, mastery, and a sense of self-control. CBT targets multiple areas of potential vulnerability (e.g., cognitive, behavioral, affective) with developmentally-guided strategies and traverses multiple intervention pathways. Although CBT is often considered the “first line treatment” for many psychological disorders in youth, additional work is necessary to address treatment non-responders and to facilitate the dissemination of efficacious CBT approaches. PMID:21440849
ERIC Educational Resources Information Center
Schaubroeck, John; Lam, Simon S. K.; Peng, Ann Chunyan
2011-01-01
We develop a model in which cognitive and affective trust in the leader mediate the relationship between leader behavior and team psychological states that, in turn, drive team performance. The model is tested on a sample of 191 financial services teams in Hong Kong and the U.S. Servant leadership influenced team performance through affect-based…
Impact Evaluation of a Cognitive Behavioral Group Therapy Model in Brazilian Sexually Abused Girls
ERIC Educational Resources Information Center
Habigzang, Luisa Fernanda; Damasio, Bruno Figueiredo; Koller, Silvia Helena
2013-01-01
This study evaluated the impact of a cognitive behavioral group therapy model in Brazilian girls who had experienced sexual abuse. The effect of the waiting period before treatment and the enduring effectiveness of the treatment after six and 12 months were also evaluated. Forty-nine female sexual abuse victims between the ages of 9 and 16…
Bothersome tinnitus : Cognitive behavioral perspectives.
Cima, R F F
2018-05-01
Tinnitus is not traceable to a single disease or pathology, but merely a symptom, which is distressing to some but not all individuals able to perceive it. The experience of tinnitus does not equate to tinnitus distress. Tinnitus suffering might be understood as a function of tinnitus-related distress in that bothersome tinnitus is an illness rather than a disease. In bothersome (distressing) tinnitus, the perception of the characteristic sound is a very disturbing and bothersome experience because of maladaptive psychological responses. Several cognitive and behavioral theoretical frameworks attempting to explain the nature and cause of tinnitus suffering have been introduced in and will be summarized here. Current treatment approaches are generally based on models that aim to: alleviate the perceptional experience by focusing on the tinnitus perception for habituation or even soothing purposes; decrease awareness of the sound by attentional training and cognitive interventions; decrease the maladaptive responses and the resulting distress by behavioral methods (i. e., exposure). The cognitive behavioral fear-avoidance model may offer an integrative cognitive behavioral approach that can lead to a new set of paradigms for studying the underlying mechanisms explaining chronic tinnitus suffering as well for developing innovative strategies to treat bothersome tinnitus.
ERIC Educational Resources Information Center
Cabrera, Natasha J.; Fagan, Jay; Wight, Vanessa; Schadler, Cornelia
2011-01-01
The association among mothers', fathers', and infants' risk and cognitive and social behaviors at 24 months was examined using structual equation modeling and data on 4,200 on toddlers and their parents from the Early Childhood Longitudinal Study, Birth Cohort. There were 3 main findings. First, for cognitive outcomes, maternal risk was directly…
ERIC Educational Resources Information Center
Lo, Jia-Jiunn; Chan, Ya-Chen; Yeh, Shiou-Wen
2012-01-01
This study developed an adaptive web-based learning system focusing on students' cognitive styles. The system is composed of a student model and an adaptation model. It collected students' browsing behaviors to update the student model for unobtrusively identifying student cognitive styles through a multi-layer feed-forward neural network (MLFF).…
Marmosets: A Neuroscientific Model of Human Social Behavior
Freiwald, Winrich A; Leopold, David A; Mitchell, Jude F; Silva, Afonso C; Wang, Xiaoqin
2016-01-01
The common marmoset (Callithrix jacchus) has garnered interest recently as a powerful model for the future of neuroscience research. Much of this excitement has centered on the species’ reproductive biology and compatibility with gene editing techniques, which together have provided a path for transgenic marmosets to contribute to the study of disease as well as basic brain mechanisms. In step with technical advances is the need to establish experimental paradigms that optimally tap into the marmosets’ behavioral and cognitive capacities. While conditioned task performance of a marmoset can compare unfavorably with rhesus monkey performance on conventional testing paradigms, marmosets’ social cognition and communication are more similar to that of humans. For example, marmosets are amongst only a handful of primates that, like humans, routinely pair bond and care cooperatively for their young. They are also notably pro-social and exhibit social cognitive abilities, such as imitation, that are rare outside of the Apes. In this review, we describe key facets of marmoset natural social behavior and demonstrate that emerging behavioral paradigms are well suited to isolate components of marmoset cognition that are highly relevant to humans. These approaches generally embrace natural behavior and communication, which has been rare in conventional primate testing, and thus allow for a new consideration of neural mechanisms underlying primate social cognition and communication. We anticipate that through parallel technical and paradigmatic advances, marmosets will become an essential model of human social behavior, including its dysfunction in nearly all neuropsychiatric disorders. PMID:27100195
Granholm, Eric; Ben-Zeev, Dror; Link, Peter C
2009-09-01
The majority of clinical trials of cognitive-behavioral therapy (CBT) for schizophrenia have used individual therapy to target positive symptoms. Promising results have been found, however, for group CBT interventions and other treatment targets like psychosocial functioning. CBT for functioning in schizophrenia is based on a cognitive model of functional outcome in schizophrenia that incorporates dysfunctional attitudes (eg, social disinterest, defeatist performance beliefs) as mediators between neurocognitive impairment and functional outcome. In this report, 18 clinical trials of CBT for schizophrenia that included measures of psychosocial functioning were reviewed, and two-thirds showed improvements in functioning in CBT. The cognitive model of functional outcome was also tested by examining the relationship between social disinterest attitudes and functional outcome in 79 people with schizophrenia randomized to either group cognitive-behavioral social skills training or a goal-focused supportive contact intervention. Consistent with the cognitive model, lower social disinterest attitudes at baseline and greater reduction in social disinterest during group therapy predicted better functional outcome at end of treatment for both groups. However, the groups did not differ significantly with regard to overall change in social disinterest attitudes during treatment, suggesting that nonspecific social interactions during group therapy can lead to changes in social disinterest, regardless of whether these attitudes are directly targeted by cognitive therapy interventions.
Aggio, Daniel; Smith, Lee; Fisher, Abigail; Hamer, Mark
2016-06-15
In the present study, we investigated how overall and specific domains of physical activity and sedentary behavior at the age of 7 years were associated with cognition at the age of 11 years in 8,462 children from the Millennium Cohort Study. Data were collected from 2001 to 2013. Participation in domains of physical activity and sedentary behavior at 7 years of age were reported. Activity levels were also measured objectively. Cognition was assessed using the British Ability Scales. General linear models were used to assess longitudinal associations of physical activity and sedentary behavior, measured both objectively and via self-report, with cognition. Analyses were adjusted for prespecified covariates. Sports/physical activity club attendance (B = 0.6, 95% confidence interval (CI): 0.2, 1.1), doing homework (B = 0.5, 95% CI: 0.0, 0.9), and objectively measured sedentary time (B = 0.8, 95% CI: 0.1, 1.4) at age 7 years were positively associated with cognition at age 11 years in final the models. Television viewing was negatively associated with cognition (B = -1.7, 95% CI: -2.4, -1.0), although the association was attenuated to the null after adjustments for baseline cognition. Objectively measured light physical activity was inversely associated with cognition (B = -0.7, 95% CI: -1.3, -0.1). Moderate-to-vigorous physical activity was also inversely associated with cognition in girls only (B = -1.1, 95% CI: -2.0, -0.3). Associations of physical activity and sedentary behavior with cognition appear to be context-specific in young people. © The Author 2016. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.
Latvala, Antti; Kuja-Halkola, Ralf; Långström, Niklas; Lichtenstein, Paul
2015-01-01
Parents' antisocial behavior is associated with developmental risks for their offspring, but its effects on their children's cognitive ability are unknown. We used linked Swedish register data for a large sample of adolescent men (N = 1,177,173) and their parents to estimate associations between fathers' criminal-conviction status and sons' cognitive ability assessed at compulsory military conscription. Mechanisms behind the association were tested in children-of-siblings models across three types of sibling fathers with increasing genetic relatedness (half-siblings, full siblings, and monozygotic twins) and in quantitative genetic models. Sons whose fathers had a criminal conviction had lower cognitive ability than sons whose fathers had no conviction (any crime: Cohen's d = -0.28; violent crime: Cohen's d = -0.49). As models adjusted for more genetic factors, the association was gradually reduced and eventually eliminated. Nuclear-family environmental factors did not contribute to the association. Our results suggest that the association between men's antisocial behavior and their children's cognitive ability is not causal but is due mostly to underlying genetic factors. © The Author(s) 2014.
Cognitive accuracy and intelligent executive function in the brain and in business.
Bailey, Charles E
2007-11-01
This article reviews research on cognition, language, organizational culture, brain, behavior, and evolution to posit the value of operating with a stable reference point based on cognitive accuracy and a rational bias. Drawing on rational-emotive behavioral science, social neuroscience, and cognitive organizational science on the one hand and a general model of brain and frontal lobe executive function on the other, I suggest implications for organizational success. Cognitive thought processes depend on specific brain structures functioning as effectively as possible under conditions of cognitive accuracy. However, typical cognitive processes in hierarchical business structures promote the adoption and application of subjective organizational beliefs and, thus, cognitive inaccuracies. Applying informed frontal lobe executive functioning to cognition, emotion, and organizational behavior helps minimize the negative effects of indiscriminate application of personal and cultural belief systems to business. Doing so enhances cognitive accuracy and improves communication and cooperation. Organizations operating with cognitive accuracy will tend to respond more nimbly to market pressures and achieve an overall higher level of performance and employee satisfaction.
Wahl, Devin; Coogan, Sean CP; Solon-Biet, Samantha M; de Cabo, Rafael; Haran, James B; Raubenheimer, David; Cogger, Victoria C; Mattson, Mark P; Simpson, Stephen J; Le Couteur, David G
2017-01-01
Evaluation of behavior and cognition in rodent models underpins mechanistic and interventional studies of brain aging and neurodegenerative diseases, especially dementia. Commonly used tests include Morris water maze, Barnes maze, object recognition, fear conditioning, radial arm water maze, and Y maze. Each of these tests reflects some aspects of human memory including episodic memory, recognition memory, semantic memory, spatial memory, and emotional memory. Although most interventional studies in rodent models of dementia have focused on pharmacological agents, there are an increasing number of studies that have evaluated nutritional interventions including caloric restriction, intermittent fasting, and manipulation of macronutrients. Dietary interventions have been shown to influence various cognitive and behavioral tests in rodents indicating that nutrition can influence brain aging and possibly neurodegeneration. PMID:28932108
Research progress on Drosophila visual cognition in China.
Guo, AiKe; Zhang, Ke; Peng, YueQin; Xi, Wang
2010-03-01
Visual cognition, as one of the fundamental aspects of cognitive neuroscience, is generally associated with high-order brain functions in animals and human. Drosophila, as a model organism, shares certain features of visual cognition in common with mammals at the genetic, molecular, cellular, and even higher behavioral levels. From learning and memory to decision making, Drosophila covers a broad spectrum of higher cognitive behaviors beyond what we had expected. Armed with powerful tools of genetic manipulation in Drosophila, an increasing number of studies have been conducted in order to elucidate the neural circuit mechanisms underlying these cognitive behaviors from a genes-brain-behavior perspective. The goal of this review is to integrate the most important studies on visual cognition in Drosophila carried out in mainland China during the last decade into a body of knowledge encompassing both the basic neural operations and circuitry of higher brain function in Drosophila. Here, we consider a series of the higher cognitive behaviors beyond learning and memory, such as visual pattern recognition, feature and context generalization, different feature memory traces, salience-based decision, attention-like behavior, and cross-modal leaning and memory. We discuss the possible general gain-gating mechanism implementing by dopamine - mushroom body circuit in fly's visual cognition. We hope that our brief review on this aspect will inspire further study on visual cognition in flies, or even beyond.
ERIC Educational Resources Information Center
Stanley, Barbara; Brown, Gregory; Brent, David A.; Wells, Karen; Poling, Kim; Curry, John; Kennard, Betsy D.; Wagner, Ann; Cwik, Mary F.; Klomek, Anat Brunstein; Goldstein, Tina; Vitiello, Benedetto; Barnett, Shannon; Daniel, Stephanie; Hughes, Jennifer
2009-01-01
Objective: To describe the elements of a manual-based cognitive-behavioral therapy for suicide prevention (CBT-SP) and to report its feasibility in preventing the recurrence of suicidal behavior in adolescents who have recently attempted suicide. Method: The CBT-SP was developed using a risk reduction and relapse prevention approach and…
Building machines that adapt and compute like brains.
Kriegeskorte, Nikolaus; Mok, Robert M
2017-01-01
Building machines that learn and think like humans is essential not only for cognitive science, but also for computational neuroscience, whose ultimate goal is to understand how cognition is implemented in biological brains. A new cognitive computational neuroscience should build cognitive-level and neural-level models, understand their relationships, and test both types of models with both brain and behavioral data.
A Social-Cognitive Analysis of How Young Men Become Involved in Male Escorting
Smith, Michael D.; Grov, Christian; Seal, David W.; McCall, Peter
2017-01-01
This study employed a social-cognitive theoretical perspective to assess the interactions of behavioral, cognitive, and situational factors to understand better how young male sex workers (MSWs) entered the sex trade industry. As part of a larger project examining male escorts working for a single agency, MSWs (n = 38) were interviewed about their work and personal lives. Interviews were transcribed and analyzed thematically. As predicted by a social-cognitive perspective, results supported reciprocal influences of behavior and environment, environment and cognition, and behavior and cognition. MSWs developed more self-efficacy around sex work behaviors and more positive outcome expectations with experience; moral conflict and lack of attraction to clients limited MSWs’ self-efficacy. Key variables for sex work appeared to be cognitive in nature—mostly represented by a decreased commitment to normative social-sexual values, the specific nature of which may have varied by sexual orientation. Findings support the contention that social-cognitive theory can effectively model entry of young men into sex work. Social-cognitive theory provides a broad umbrella underneath which various explanations for male sex work can be gathered. PMID:22880726
Poehlmann, Julie; Hane, Amanda; Burnson, Cynthia; Maleck, Sarah; Hamburger, Elizabeth; Shah, Prachi E.
2012-01-01
Background The differential susceptibility (DS) model suggests that temperamentally prone-to-distress infants may exhibit adverse outcomes in negative environments but optimal outcomes in positive environments. This study explored temperament, parenting, and 36-month cognition and behavior in preterm infants using the DS model. We hypothesized that temperamentally prone to distress preterm infants would exhibit more optimal cognition and fewer behavior problems when early parenting was positive; and less optimal cognition and more behavior problems when early parenting was less positive. Methods Participants included 109 preterm infants (gestation < 37 weeks) and their mothers. We assessed neonatal risk and basal vagal tone in the neonatal intensive care unit (NICU); infant temperament and parenting interactions at 9 months postterm; and child behavior and cognitive skills at 36 months postterm. Hierarchical regression analyses tested study hypotheses. Results Temperamentally prone-to-distress infants exhibited more externalizing problems if they experienced more critical parenting at 9 months (β= -.20, p<0.05) but fewer externalizing problems with more positive parenting. Similarly, variations in maternal positive affect (β= .25, p< .01) and intrusive behaviors (β= .23, p< .05) at 9 months predicted 36-month cognition at high but not at low levels of infant temperamental distress. Higher basal vagal tone predicted fewer externalizing problems (β= -.19, p< .05). Conclusions Early parenting behaviors relate to later behavior and development in preterm infants who are temperamentally prone to distress, and neonatal basal vagal tone predicts subsequent externalizing behaviors. These findings suggest that both biological reactivity and quality of caregiving are important predictors for later outcomes in preterm infants and may be considered as foci for developmental surveillance and interventions. PMID:22582942
Cognitive Model of Animal Behavior to Comprehend an Aspect of Decision-Making
NASA Astrophysics Data System (ADS)
Migita, Masao; Moriyama, Tohru
2004-08-01
Most animal behaviors are considered to have been evolved through their own courses of natural selection. Since mechanisms of natural selection depend tightly on environments in which animals of interest inhabit, the environment for an animal appears a priori, and stimulus-response (S-R) relationships are stable as long as it returns constant benefit. We claim, however, no environment for an animal cannot be regarded as a priori and any animal can exhibit more elaborated behavior than S-R. In other words, every animal is more or less cognitive in terms that it may modify a meaning of stimulus. We introduce a minimal model to demonstrate the cognitive aspect of the pill bug's turn alternation (TA) behavior. The simulated pill bug can modify its own response pattern to the stimulus of water, though stable response appears to be prerequisite to TA behavior.
Extinction of an instrumental response: a cognitive behavioral assay in Fmr1 knockout mice.
Sidorov, M S; Krueger, D D; Taylor, M; Gisin, E; Osterweil, E K; Bear, M F
2014-06-01
Fragile X (FX) is the most common genetic cause of intellectual disability and autism. Previous studies have shown that partial inhibition of metabotropic glutamate receptor signaling is sufficient to correct behavioral phenotypes in a mouse model of FX, including audiogenic seizures, open-field hyperactivity and social behavior. These phenotypes model well the epilepsy (15%), hyperactivity (20%) and autism (30%) that are comorbid with FX in human patients. Identifying reliable and robust mouse phenotypes to model cognitive impairments is critical considering the 90% comorbidity of FX and intellectual disability. Recent work characterized a five-choice visuospatial discrimination assay testing cognitive flexibility, in which FX model mice show impairments associated with decreases in synaptic proteins in prefrontal cortex (PFC). In this study, we sought to determine whether instrumental extinction, another process requiring PFC, is altered in FX model mice, and whether downregulation of metabotropic glutamate receptor signaling pathways is sufficient to correct both visuospatial discrimination and extinction phenotypes. We report that instrumental extinction is consistently exaggerated in FX model mice. However, neither the extinction phenotype nor the visuospatial discrimination phenotype is corrected by approaches targeting metabotropic glutamate receptor signaling. This work describes a novel behavioral extinction assay to model impaired cognition in mouse models of neurodevelopmental disorders, provides evidence that extinction is exaggerated in the FX mouse model and suggests possible limitations of metabotropic glutamate receptor-based pharmacotherapy. © 2014 John Wiley & Sons Ltd and International Behavioural and Neural Genetics Society.
Acquisition and production of skilled behavior in dynamic decision-making tasks
NASA Technical Reports Server (NTRS)
Kirlik, Alex
1992-01-01
Detailed summaries of two NASA-funded research projects are provided. The first project was an ecological task analysis of the Star Cruiser model. Star Cruiser is a psychological model designed to test a subject's level of cognitive activity. Ecological task analysis is used as a framework to predict the types of cognitive activity required to achieve productive behavior and to suggest how interfaces can be manipulated to alleviate certain types of cognitive demands. The second project is presented in the form of a thesis for the Masters Degree. The thesis discusses the modeling of decision-making through the use of neural network and genetic-algorithm machine learning technologies.
ERIC Educational Resources Information Center
Willis, Jerry
2011-01-01
This is the first in a series of two articles examining the current status of instructional design (ID) scholarship and theory in four different cultures or traditions. In this article, the focus is on, first, ID models based on traditional behavioral theories of learning and, second, on models based on cognitive science and the learning sciences.…
PFIESTERIA PISCICIDA-INDUCED COGNITIVE EFFECTS: VISUAL SIGNAL DETECTION PERFORMANCE AND REVERSAL.
Humans exposed to Pfiesteria piscicida report cognitive impairment. In a rat model, we showed that exposure to Pfiesteria impaired learning a new task, but not performance of previously-learned behavior. In this study, we characterized the behavioral effects of Pfiesteria in rats...
Sibsize, Family Environment, Cognitive Performance, and Affective Characteristics
ERIC Educational Resources Information Center
Marjoribanks, Kevin
1976-01-01
Incorporates measures of family environment (parent-child interaction) into research methodology to study the effects of sibsize (family size and birth order) on a child's cognitive performance and affective behavior. Provides tentative support for the confluence model of sibsize influences on children's behaviors. (RL)
Fliek, Lorraine; Dibbets, Pauline; Roelofs, Jeffrey; Muris, Peter
2017-02-01
The present cross-sectional study explored the relations between fear-enhancing parenting behaviors (modeling and threat information transmission) and children's cognitive biases and anxiety symptoms. Participants were 258 children aged 7-12 years (132 boys and 126 girls), and their mothers (n = 199) and/or fathers (n = 117). Children and parents completed the Parental Enhancement of Anxious Cognitions questionnaire, which measures parental modeling and threat information transmission, while children also filled in a scale for assessing anxiety symptoms. In addition, children conducted a number of computerized tasks for measuring confirmation and interpretation bias. The data indicated that both biases mediated the relationship between threat information transmission (of both parents) and children's anxiety symptoms. Only interpretation bias significantly mediated the relationship between modeling (of mothers) and anxiety symptoms. These findings give partial support for the hypothesis that cognitive biases play a mediating role in the relation between fear-enhancing parental behaviors and children's anxiety symptoms.
Schaubroeck, John; Lam, Simon S K; Peng, Ann Chunyan
2011-07-01
We develop a model in which cognitive and affective trust in the leader mediate the relationship between leader behavior and team psychological states that, in turn, drive team performance. The model is tested on a sample of 191 financial services teams in Hong Kong and the U.S. Servant leadership influenced team performance through affect-based trust and team psychological safety. Transformational leadership influenced team performance indirectly through cognition-based trust. Cognition-based trust directly influenced team potency and indirectly (through affect-based trust) influenced team psychological safety. The effects of leader behavior on team performance were fully mediated through the trust in leader variables and the team psychological states. Servant leadership explained an additional 10% of the variance in team performance beyond the effect of transformational leadership. We discuss implications of these results for research on the relationship between leader behavior and team performance, and for efforts to enhance leader development by combining knowledge from different leadership theories.
ERIC Educational Resources Information Center
Zhao, Huafang; Modarresi, Shahpar
2013-01-01
This brief describes the impact of the Montgomery County (Maryland) Public Schools (MCPS) 2007-2008 full-day Head Start prekindergarten (pre-K) class model on student academic performance, cognitive skills, and learning behaviors by the end of Grade 2. This is the fourth impact study of the MCPS full-day Head Start pre-K class model. The following…
Pearsall, Matthew J; Ellis, Aleksander P J; Bell, Bradford S
2010-01-01
The primary purpose of this study was to extend theory and research regarding the emergence of mental models and transactive memory in teams. Utilizing Kozlowski, Gully, Nason, and Smith's (1999) model of team compilation, we examined the effect of role identification behaviors and posited that such behaviors represent the initial building blocks of team cognition during the role compilation phase of team development. We then hypothesized that team mental models and transactive memory would convey the effects of these behaviors onto team performance in the team compilation phase of development. Results from 60 teams working on a command-and-control simulation supported our hypotheses. Copyright 2009 APA, all rights reserved.
Providing Nutritional Care in the Office Practice: Teams, Tools, and Techniques.
Kushner, Robert F
2016-11-01
Provision of dietary counseling in the office setting is enhanced by using team-based care and electronic tools. Effective provider-patient communication is essential for fostering behavior change: the key component of lifestyle medicine. The principles of communication and behavior change are skill-based and grounded in scientific theories and models. Motivational interviewing and shared decision making, a collaboration process between patients and their providers to reach agreement about a health decision, is an important process in counseling. The stages of change, self-determination, health belief model, social cognitive model, theory of planned behavior, and cognitive behavioral therapy are used in the counseling process. Copyright © 2016 Elsevier Inc. All rights reserved.
Gámez-Guadix, Manuel; Villa-George, Fabiola I; Calvete, Esther
2012-12-01
The objectives of this study were to analyze the psychometric properties of the Generalized Problematic Internet Use Scale 2 (GPIUS2) and to examine the cognitive-behavioral theoretical model of problematic Internet use in a sample of 1491 Mexican adolescents (47.6% female, mean age = 14.51). Results showed that the GPIUS2 has adequate construct and convergent validity and internal consistency. Consistent with the hypotheses put forth by the cognitive-behavioral model, the findings indicate that preference for online social interaction and the use of the Internet for mood regulation increased the probability of reporting deficient self-regulation (i.e., compulsive Internet use and cognitive preoccupations with Internet use), which, in turn, was significantly associated with negative life outcomes. The fit of the model was adequate both for males and females, and there were no significant differences between them. Lastly, we discuss the contributions of this research to this field of study. Copyright © 2012 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
Questions raised by a reasoned action approach: comment on Ogden (2003).
Ajzen, Icek; Fishbein, Martin
2004-07-01
In her critique of social cognition or reasoned action models, J. Ogden (see record 2003-05896-016) claimed that such models are not falsifiable and thus cannot be tested, that the postulated relations among model components are true by definition, and that questionnaires used to test the models may create rather than assess cognitions and thus influence later behavior. The authors of this comment challenge all 3 arguments and contend that the findings Ogden regarded as requiring rejection of the models are, in fact, consistent with them, that there is good evidence for the validity of measures used to assess the models' major constructs, and that the effect of completing a questionnaire on cognitions and subsequent behavior is an empirical question. Copyright 2004 American Psychological Association
Dodge, Kenneth A.; Godwin, Jennifer
2013-01-01
In the study reported here, we tested the hypothesis that the Fast Track preventive intervention’s positive impact on antisocial behavior in adolescence is mediated by its impact on social-cognitive processes during elementary school. Fast Track is the largest and longest federally funded preventive intervention trial for children showing aggressive behavior at an early age. Participants were 891 high-risk kindergarten children (69% male, 31% female; 49% ethnic minority, 51% ethnic majority) who were randomly assigned to an intervention or a control group by school cluster. Multiyear intervention addressed social-cognitive processes through social-skill training groups, parent groups, classroom curricula, peer coaching, and tutoring. Assigning children to the intervention decreased their mean antisocial-behavior score after Grade 9 by 0.16 standardized units (p < .01). Structural equation models indicated that 27% of the intervention’s impact on antisocial behavior was mediated by its impact on three social-cognitive processes: reducing hostile-attribution biases, increasing competent response generation to social problems, and devaluing aggression. These findings support a model of antisocial behavioral development mediated by social-cognitive processes, and they guide prevention planners to focus on these processes. PMID:23406610
ERIC Educational Resources Information Center
Remmelink, Esther; Smit, August B.; Verhage, Matthijs; Loos, Maarten
2016-01-01
Many neurological and psychiatric disorders are characterized by deficits in cognitive flexibility. Modeling cognitive flexibility in mice enables the investigation of mechanisms underlying these deficits. The majority of currently available behavioral tests targeting this cognitive domain are reversal learning tasks that require scheduled food…
Whiting, Mark D; Kokiko-Cochran, Olga N
2016-01-01
Animal models play a critical role in understanding the biomechanical, pathophysiological, and behavioral consequences of traumatic brain injury (TBI). In preclinical studies, cognitive impairment induced by TBI is often assessed using the Morris water maze (MWM). Frequently described as a hippocampally dependent spatial navigation task, the MWM is a highly integrative behavioral task that requires intact functioning in numerous brain regions and involves an interdependent set of mnemonic and non-mnemonic processes. In this chapter, we review the special considerations involved in using the MWM in animal models of TBI, with an emphasis on maximizing the degree of information extracted from performance data. We include a theoretical framework for examining deficits in discrete stages of cognitive function and offer suggestions for how to make inferences regarding the specific nature of TBI-induced cognitive impairment. The ultimate goal is more precise modeling of the animal equivalents of the cognitive deficits seen in human TBI.
Five Faces of Cognition: Theoretical Influences on Approaches to Learning Disabilities.
ERIC Educational Resources Information Center
Hresko, Wayne P.; Reid, D. Kim
1981-01-01
The label "cognitive" has been used to designate five substantially different approaches to the study of learning disabilities: information processing, metacognition, genetic epistemology, cognitive behavior modification, and the specific abilities model. (Author)
Physical Activity Motivation in Late Adolescence: Refinement of a Recent Multidimensional Model
ERIC Educational Resources Information Center
Martin, Andrew J.
2010-01-01
Recent research (Martin et al., 2006) presented a new, multidimensional approach to physical activity motivation (using the Physical Activity Motivation Scale [PAMS]) operationalized through four factors: adaptive cognition, adaptive behavior, impeding/maladaptive cognition, and maladaptive behavior. The present study extends this early research…
Serotonin depletion induces pessimistic-like behavior in a cognitive bias paradigm in pigs.
Stracke, Jenny; Otten, Winfried; Tuchscherer, Armin; Puppe, Birger; Düpjan, Sandra
2017-05-15
Cognitive and affective processes are highly interrelated. This has implications for neuropsychiatric disorders such as major depressive disorder in humans but also for the welfare of non-human animals. The brain serotonergic system might play a key role in mediating the relationship between cognitive functions and affective regulation. The aim of our study was to examine the influence of serotonin depletion on the affective state and cognitive processing in pigs, an important farm animal species but also a potential model species for biomedical research in humans. For this purpose, we modified a serotonin depletion model using para-chlorophenylalanine (pCPA) to decrease serotonin levels in brain areas involved in cognitive and affective processing (part 1). The consequences of serotonin depletion were then measured in two behavioral tests (part 2): the spatial judgement task (SJT), providing information about the effects of the affective state on cognitive processing, and the open field/novel object (OFNO) test, which measures behavioral reactions to novelty that are assumed to reflect affective state. In part 1, 40 pigs were treated with either pCPA or saline for six consecutive days. Serotonin levels were assessed in seven different brain regions 4, 5, 6, 11 and 13days after the first injection. Serotonin was significantly depleted in all analyzed brain regions up to 13days after the first application. In part 2, the pCPA model was applied to 48 animals in behavioral testing. Behavioral tests, the OFNO test and the SJT, were conducted both before and after pCPA/saline injections. While results from the OFNO tests were inconclusive, an effect of treatment as well as an effect of the phase (before and after treatment) was observed in the SJT. Animals treated with pCPA showed more pessimistic-like behavior, suggesting a more negative affective state due to serotonin depletion. Thus, our results confirm that the serotonergic system is a key player in cognitive-emotional processing. Hence, the serotonin depletion model and the spatial judgement task can increase our understanding of the basic mechanisms underlying both human neuropsychiatric disorders and animal welfare. Copyright © 2017 Elsevier Inc. All rights reserved.
Personality from a cognitive-biological perspective
NASA Astrophysics Data System (ADS)
Neuman, Yair
2014-12-01
The term "personality" is used to describe a distinctive and relatively stable set of mental traits that aim to explain the organism's behavior. The concept of personality that emerged in human psychology has been also applied to the study of non-human organisms from birds to horses. In this paper, I critically review the concept of personality from an interdisciplinary perspective, and point to some ideas that may be used for developing a cognitive-biological theory of personality. Integrating theories and research findings from various fields such as cognitive ethnology, clinical psychology, and neuroscience, I argue that the common denominator of various personality theories are neural systems of threat/trust management and their emotional, cognitive, and behavioral dimensions. In this context, personality may be also conceived as a meta-heuristics both human and non-human organisms apply to model and predict the behavior of others. The paper concludes by suggesting a minimal computational model of personality that may guide future research.
Ramsay, Jonathan E; Yang, Fang; Pang, Joyce S; Lai, Ching-Man; Ho, Roger Cm; Mak, Kwok-Kei
2015-07-01
Previous research has indicated that both cognitive and behavioral variables mediate the positive effect of optimism on quality of life; yet few attempts have been made to accommodate these constructs into a single explanatory framework. Adopting Fredrickson's broaden-and-build perspective, we examined the relationships between optimism, self-rated health, resilience, exercise, and quality of life in 365 Chinese university students using path analysis. For physical quality of life, a two-stage model, in which the effects of optimism were sequentially mediated by cognitive and behavioral variables, provided the best fit. A one-stage model, with full mediation by cognitive variables, provided the best fit for mental quality of life. This suggests that optimism influences physical and mental quality of life via different pathways. © The Author(s) 2013.
Schizophrenia: A Cognitive Model and Its Implications for Psychological Intervention.
ERIC Educational Resources Information Center
Hemsley, David R.
1996-01-01
Proposes a cognitive model of schizophrenia stating that schizophrenic behavior is caused by a disturbance in sensory input and stored material integration. Cites research to support this model. Outlines the manner in which a disturbance in sensory input integration relates to schizophrenic symptoms and discusses the model's relevance for…
Maintenance of Social Anxiety in Stuttering: A Cognitive-Behavioral Model.
Iverach, Lisa; Rapee, Ronald M; Wong, Quincy J J; Lowe, Robyn
2017-05-17
Stuttering is a speech disorder frequently accompanied by anxiety in social-evaluative situations. A growing body of research has confirmed a significant rate of social anxiety disorder among adults who stutter. Social anxiety disorder is a chronic and disabling anxiety disorder associated with substantial life impairment. Several influential models have described cognitive-behavioral factors that contribute to the maintenance of social anxiety in nonstuttering populations. The purpose of the present article is to apply these leading models to the experience of social anxiety for people who stutter. Components from existing models were applied to stuttering in order to determine cognitive-behavioral processes that occur before, during, and after social-evaluative situations, which may increase the likelihood of stuttering-related social fears persisting. Maintenance of social anxiety in stuttering may be influenced by a host of interrelated factors, including fear of negative evaluation, negative social-evaluative cognitions, attentional biases, self-focused attention, safety behaviors, and anticipatory and postevent processing. Given the chronic nature of social anxiety disorder, identifying factors that contribute to the persistence of stuttering-related social fears has the potential to inform clinical practice and the development of psychological treatment programs to address the speech and psychological needs of people who stutter with social anxiety.
Development and evaluation of social cognitive measures related to adolescent physical activity.
Dewar, Deborah L; Lubans, David Revalds; Morgan, Philip James; Plotnikoff, Ronald C
2013-05-01
This study aimed to develop and evaluate the construct validity and reliability of modernized social cognitive measures relating to physical activity behaviors in adolescents. An instrument was developed based on constructs from Bandura's Social Cognitive Theory and included the following scales: self-efficacy, situation (perceived physical environment), social support, behavioral strategies, and outcome expectations and expectancies. The questionnaire was administered in a sample of 171 adolescents (age = 13.6 ± 1.2 years, females = 61%). Confirmatory factor analysis was employed to examine model-fit for each scale using multiple indices, including chi-square index, comparative-fit index (CFI), goodness-of-fit index (GFI), and the root mean square error of approximation (RMSEA). Reliability properties were also examined (ICC and Cronbach's alpha). Each scale represented a statistically sound measure: fit indices indicated each model to be an adequate-to-exact fit to the data; internal consistency was acceptable to good (α = 0.63-0.79); rank order repeatability was strong (ICC = 0.82-0.91). Results support the validity and reliability of social cognitive scales relating to physical activity among adolescents. As such, the developed scales have utility for the identification of potential social cognitive correlates of youth physical activity, mediators of physical activity behavior changes and the testing of theoretical models based on Social Cognitive Theory.
Cognitive Model Exploration and Optimization: A New Challenge for Computational Science
2010-03-01
the generation and analysis of computational cognitive models to explain various aspects of cognition. Typically the behavior of these models...computational scale of a workstation, so we have turned to high performance computing (HPC) clusters and volunteer computing for large-scale...computational resources. The majority of applications on the Department of Defense HPC clusters focus on solving partial differential equations (Post
Derakhshanrad, Seyed Alireza; Piven, Emily; Ghoochani, Bahareh Zeynalzadeh
2017-10-01
Walter J. Freeman pioneered the neurodynamic model of brain activity when he described the brain dynamics for cognitive information transfer as the process of circular causality at intention, meaning, and perception (IMP) levels. This view contributed substantially to establishment of the Intention, Meaning, and Perception Model of Neuro-occupation in occupational therapy. As described by the model, IMP levels are three components of the brain dynamics system, with nonlinear connections that enable cognitive function to be processed in a circular causality fashion, known as Cognitive Process of Circular Causality (CPCC). Although considerable research has been devoted to study the brain dynamics by sophisticated computerized imaging techniques, less attention has been paid to study it through investigating the adaptation process of thoughts and behaviors. To explore how CPCC manifested thinking and behavioral patterns, a qualitative case study was conducted on two matched female participants with strokes, who were of comparable ages, affected sides, and other characteristics, except for their resilience and motivational behaviors. CPCC was compared by matrix analysis between two participants, using content analysis with pre-determined categories. Different patterns of thinking and behavior may have happened, due to disparate regulation of CPCC between two participants.
Stochastic model predicts evolving preferences in the Iowa gambling task
Fuentes, Miguel A.; Lavín, Claudio; Contreras-Huerta, L. Sebastián; Miguel, Hernan; Rosales Jubal, Eduardo
2014-01-01
Learning under uncertainty is a common task that people face in their daily life. This process relies on the cognitive ability to adjust behavior to environmental demands. Although the biological underpinnings of those cognitive processes have been extensively studied, there has been little work in formal models seeking to capture the fundamental dynamic of learning under uncertainty. In the present work, we aimed to understand the basic cognitive mechanisms of outcome processing involved in decisions under uncertainty and to evaluate the relevance of previous experiences in enhancing learning processes within such uncertain context. We propose a formal model that emulates the behavior of people playing a well established paradigm (Iowa Gambling Task - IGT) and compare its outcome with a behavioral experiment. We further explored whether it was possible to emulate maladaptive behavior observed in clinical samples by modifying the model parameter which controls the update of expected outcomes distributions. Results showed that the performance of the model resembles the observed participant performance as well as IGT performance by healthy subjects described in the literature. Interestingly, the model converges faster than some subjects on the decks with higher net expected outcome. Furthermore, the modified version of the model replicated the trend observed in clinical samples performing the task. We argue that the basic cognitive component underlying learning under uncertainty can be represented as a differential equation that considers the outcomes of previous decisions for guiding the agent to an adaptive strategy. PMID:25566043
Stochastic model predicts evolving preferences in the Iowa gambling task.
Fuentes, Miguel A; Lavín, Claudio; Contreras-Huerta, L Sebastián; Miguel, Hernan; Rosales Jubal, Eduardo
2014-01-01
Learning under uncertainty is a common task that people face in their daily life. This process relies on the cognitive ability to adjust behavior to environmental demands. Although the biological underpinnings of those cognitive processes have been extensively studied, there has been little work in formal models seeking to capture the fundamental dynamic of learning under uncertainty. In the present work, we aimed to understand the basic cognitive mechanisms of outcome processing involved in decisions under uncertainty and to evaluate the relevance of previous experiences in enhancing learning processes within such uncertain context. We propose a formal model that emulates the behavior of people playing a well established paradigm (Iowa Gambling Task - IGT) and compare its outcome with a behavioral experiment. We further explored whether it was possible to emulate maladaptive behavior observed in clinical samples by modifying the model parameter which controls the update of expected outcomes distributions. Results showed that the performance of the model resembles the observed participant performance as well as IGT performance by healthy subjects described in the literature. Interestingly, the model converges faster than some subjects on the decks with higher net expected outcome. Furthermore, the modified version of the model replicated the trend observed in clinical samples performing the task. We argue that the basic cognitive component underlying learning under uncertainty can be represented as a differential equation that considers the outcomes of previous decisions for guiding the agent to an adaptive strategy.
Testing the Hierarchies of Effects: A Path Analytic Approach.
ERIC Educational Resources Information Center
Pavlik, John V.; Stroker, Alex
Traditional information processing (or high-involvement) models hold that cognitive change leads to attitude change which leads to behavior change. It has been suggested, however, that in many advertising situations, cognitive change can lead directly to behavior change, and that for many products advertising is a "low involvement"…
Dissociation of Active Working Memory and Passive Recognition in Rhesus Monkeys
ERIC Educational Resources Information Center
Basile, Benjamin M.; Hampton, Robert R.
2013-01-01
Active cognitive control of working memory is central in most human memory models, but behavioral evidence for such control in nonhuman primates is absent and neurophysiological evidence, while suggestive, is indirect. We present behavioral evidence that monkey memory for familiar images is under active cognitive control. Concurrent cognitive…
Optimizing Cognitive-Behavioral Therapy for Childhood Psychiatric Disorders
ERIC Educational Resources Information Center
Piacentini, John
2008-01-01
Reports that expand the understanding of the treatment of childhood obsessive-compulsive disorder by using exposure-based cognitive-behavioral therapy in the age group of 5 to 8-year-olds are presented. A model for collecting the common core elements of evidence-based psychosocial treatments for childhood disorders is also presented.
Gijselaers, Hieronymus J M; Elena, Barberà; Kirschner, Paul A; de Groot, Renate H M
2016-01-01
Biological lifestyle factors (BLFs) such as physical activity, sleep, and nutrition play a role in cognitive functioning. Research concerning the relation between BLFs and cognitive performance is scarce however, especially in young and middle-aged adults. Research has not yet focused on a multidisciplinary approach with respect to this relation in the abovementioned population, where lifestyle habits are more stable. The aim of this study was to examine the contribution of these BLFs to cognitive performance. Path analysis was conducted in an observational study in which 1131 adults were analyzed using a cross-validation approach. Participants provided information on physical activity, sedentary behavior, chronotype, sleep duration, sleep quality, and the consumption of breakfast, fish, and caffeine via a survey. Their cognitive performance was measured using objective digital cognitive tests. Exploration yielded a predictive cohesive model that fitted the data properly, χ(2) /df = 0.8, CFI = 1.00, RMSEA < 0.001, SRMR = 0.016. Validation of the developed model indicated that the model fitted the data satisfactorily, χ(2) /df = 2.75, CFI = 0.95, RMSEA < 0.056, SRMR = 0.035. None of the variables within the BLFs were predictive for any of the cognitive performance measures, except for sedentary behavior. Although sedentary behavior was positively predictive for processing speed its contribution was small and unclear. The results indicate that the variables within the BLFs do not predict cognitive performance in young and middle-aged adults.
Development of a dynamic computational model of social cognitive theory.
Riley, William T; Martin, Cesar A; Rivera, Daniel E; Hekler, Eric B; Adams, Marc A; Buman, Matthew P; Pavel, Misha; King, Abby C
2016-12-01
Social cognitive theory (SCT) is among the most influential theories of behavior change and has been used as the conceptual basis of health behavior interventions for smoking cessation, weight management, and other health behaviors. SCT and other behavior theories were developed primarily to explain differences between individuals, but explanatory theories of within-person behavioral variability are increasingly needed as new technologies allow for intensive longitudinal measures and interventions adapted from these inputs. These within-person explanatory theoretical applications can be modeled as dynamical systems. SCT constructs, such as reciprocal determinism, are inherently dynamical in nature, but SCT has not been modeled as a dynamical system. This paper describes the development of a dynamical system model of SCT using fluid analogies and control systems principles drawn from engineering. Simulations of this model were performed to assess if the model performed as predicted based on theory and empirical studies of SCT. This initial model generates precise and testable quantitative predictions for future intensive longitudinal research. Dynamic modeling approaches provide a rigorous method for advancing health behavior theory development and refinement and for guiding the development of more potent and efficient interventions.
A test of the cognitive social learning model of type A behavior.
Matteson, M T; Ivancevich, J M; Gamble, G O
1987-01-01
Portions of the cognitive social learning model proposed by Price as an explanation for the development and maintenance of Type A behavior were examined empirically. Specifically, the hypothesis that Type A behavior is fostered by various beliefs and fears and that these same beliefs and fears arise, in part, as the result of certain parental characteristics was investigated. A questionnaire assessing Type A behavior and the beliefs, fears, and parental characteristics proposed by Price was constructed and administered to a sample of males and females. The results indicated moderate associations between the variables examined for both males and females, with no significant gender differences in the pattern of relationships. The findings are congruent with relationships proposed by Price's model. Implications of the model are discussed in terms of additional research needed.
Some problems with social cognition models: a pragmatic and conceptual analysis.
Ogden, Jane
2003-07-01
Empirical articles published between 1997 and 2001 from 4 health psychology journals that tested or applied 1 or more social cognition models (theory of reasoned action, theory of planned behavior, health belief model, and protection motivation theory; N = 47) were scrutinized for their pragmatic and conceptual basis. In terms of their pragmatic basis, these 4 models were useful for guiding research. The analysis of their conceptual basis was less positive. First, these models do not enable the generation of hypotheses because their constructs are unspecific; they therefore cannot be tested. Second, they focus on analytic truths rather than synthetic ones, and the conclusions resulting from their application are often true by definition rather than by observation. Finally, they may create and change both cognitions and behavior rather than describe them.
A social-cognitive perspective of terrorism risk perception and individual response in Canada.
Lee, Jennifer E C; Lemyre, Louise
2009-09-01
The volume of research on terrorism has increased since the events of September 11, 2001. However, efforts to develop a contextualized model incorporating cognitive, social-contextual, and affective factors as predictors of individual responses to this threat have been limited. Therefore, the aim of this study was to evaluate a series of hypotheses drawn from such a model that was generated from a series of interviews with members of the Canadian public. Data of a national survey on perceived chemical, biological, radiological, nuclear, and explosives (CBRNE) terrorism threat and preparedness were analyzed. Results demonstrated that worry and behavioral responses to terrorism, such as individual preparedness, information seeking, and avoidance behaviors, were each a function of cognitive and social-contextual factors. As an affective response, worry about terrorism independently contributed to the prediction of behavioral responses above and beyond cognitive and social-contextual factors, and partially mediated the relationships of some of these factors with behavioral responses. Perceived coping efficacy emerged as the cognitive factor associated with the most favorable response to terrorism. Hence, findings highlight the importance of fostering a sense of coping efficacy to the effectiveness of strategies aimed at improving individual preparedness for terrorism.
Iarkov, Alexandre; Appunn, Doreen; Echeverria, Valentina
2016-11-01
Most cancer patients treated with systemic adjuvant chemotherapy endure long-lasting side effects including decrease in concentration, forgetfulness and slower thinking, which are globally termed "chemobrain." Cotinine, the main derivative of nicotine, improved visual and spatial working memory and decreased depressive-like behavior in an animal model of chemotherapy-induced cognitive impairment. In this study, we investigated the effect of cotinine on weight gain, locomotor activity, cognitive abilities and depressive-like behavior in rats treated with the chemotherapy mix, cyclophosphamide, methotrexate and 5-fluorouracil. Locomotor activity and depressive-like behavior were assessed using the rotarod and Porsolt's tests, respectively. Changes in cognitive abilities were determined using the novel place recognition test. Female rats treated with cotinine after chemotherapy, recovered weight faster, showed superior cognitive abilities and lower levels of depressive-like behavior than chemotherapy, vehicle-treated rats. This evidence suggests that treatment with cotinine may facilitate the recovery and diminish the cognitive consequences of chemotherapy.
Simulating human behavior for national security human interactions.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bernard, Michael Lewis; Hart, Dereck H.; Verzi, Stephen J.
2007-01-01
This 3-year research and development effort focused on what we believe is a significant technical gap in existing modeling and simulation capabilities: the representation of plausible human cognition and behaviors within a dynamic, simulated environment. Specifically, the intent of the ''Simulating Human Behavior for National Security Human Interactions'' project was to demonstrate initial simulated human modeling capability that realistically represents intra- and inter-group interaction behaviors between simulated humans and human-controlled avatars as they respond to their environment. Significant process was made towards simulating human behaviors through the development of a framework that produces realistic characteristics and movement. The simulated humansmore » were created from models designed to be psychologically plausible by being based on robust psychological research and theory. Progress was also made towards enhancing Sandia National Laboratories existing cognitive models to support culturally plausible behaviors that are important in representing group interactions. These models were implemented in the modular, interoperable, and commercially supported Umbra{reg_sign} simulation framework.« less
The Gendered Family Process Model: An Integrative Framework of Gender in the Family.
Endendijk, Joyce J; Groeneveld, Marleen G; Mesman, Judi
2018-05-01
This article reviews and integrates research on gender-related biological, cognitive, and social processes that take place in or between family members, resulting in a newly developed gendered family process (GFP) model. The GFP model serves as a guiding framework for research on gender in the family context, calling for the integration of biological, social, and cognitive factors. Biological factors in the model are prenatal, postnatal, and pubertal androgen levels of children and parents, and genetic effects on parent and child gendered behavior. Social factors are family sex composition (i.e., parent sex, sexual orientation, marriage status, sibling sex composition) and parental gender socialization, such as modeling, gender-differentiated parenting, and gender talk. Cognitive factors are implicit and explicit gender-role cognitions of parents and children. Our review and the GFP model confirm that gender is an important organizer of family processes, but also highlight that much is still unclear about the mechanisms underlying gender-related processes within the family context. Therefore, we stress the need for (1) longitudinal studies that take into account the complex bidirectional relationship between parent and child gendered behavior and cognitions, in which within-family comparisons (comparing behavior of parents toward a boy and a girl in the same family) are made instead of between-family comparisons (comparing parenting between all-boy families and all-girl families, or between mixed-gender families and same-gender families), (2) experimental studies on the influence of testosterone on human gender development, (3) studies examining the interplay between biology with gender socialization and gender-role cognitions in humans.
Koshiba, Mamiko; Karino, Genta; Mimura, Koki; Nakamura, Shun; Yui, Kunio; Kunikata, Tetsuya; Yamanouchi, Hideo
2016-01-01
Educational treatment to support social development of children with autism spectrum disorder (ASD) is an important topic in developmental psychiatry. However, it remains difficult to objectively quantify the socio-emotional development of ASD children. To address this problem, we developed a novel analytical method that assesses subjects' complex behaviors using multivariate analysis, 'Behavior Output analysis for Quantitative Emotional State Translation' (BOUQUET). Here, we examine the potential for psycho-cognitive ASD therapy based on comparative evaluations of clinical (human) and experimental (animal) models. Our observations of ASD children (vs. their normally developing siblings) and the domestic chick in socio-sensory deprivation models show the importance of unimodal sensory stimulation, particularly important for tactile- and auditory-biased socialization. Identifying psycho-cognitive elements in early neural development, human newborn infants in neonatal intensive care unit as well as a New World monkey, the common marmoset, also prompted us to focus on the development of voluntary movement against gravity. In summary, striking behavioral similarities between children with ASD and domestic chicks' socio-sensory deprivation models support the role of multimodal sensory-motor integration as a prerequisite step for normal development of socio-emotional and psycho-cognitive functions. Data obtained in the common marmoset model also suggest that switching from primitive anti-gravity reflexes to complex voluntary movement may be a critical milestone for psycho-cognitive development. Combining clinical findings with these animal models, and using multivariate integrative analyses may facilitate the development of effective interventions to improve social functions in infants and in children with neurodevelopmental disorders.
ERIC Educational Resources Information Center
Landry, Susan H.; Smith, Karen E.; Miller-Loncar, Cynthia L.; Swank, Paul R.
1997-01-01
Used growth modeling to examine relationship of early parenting to cognitive, language, and social development from 6 to 40 months in full-term and very low birth weight (medically low or high risk) children. Found that behaviors that were sensitive to children's focus of interest and did not highly control or restrict their behaviors predicted…
Cognitive hypnotherapy: a new vision and strategy for research and practice.
Alladin, Assen
2012-04-01
This article describes cognitive hypnotherapy (CH), a visionary model of adjunctive hypnotherapy that advances the role of clinical hypnosis to a recognized integrative model of psychotherapy. As hypnosis lacks a coherent theory of psychotherapy and behavior change, hypnotherapy has embodied a mixed bag of techniques and thus hindered from transfiguring into a mainstream school of psychotherapy. One way of promoting the therapeutic standing of hypnotherapy as an adjunctive therapy is to systematically integrate it with a well-established psychotherapy. By blending hypnotherapy with cognitive behavior therapy, CH offers a unified version of clinical practice that fits the assimilative model of integrated psychotherapy, which represents the best integrative psychotherapy approach for merging both theory and empirical findings.
Vellone, Ercole; Fida, Roberta; D'Agostino, Fabio; Mottola, Antonella; Juarez-Vela, Raul; Alvaro, Rosaria; Riegel, Barbara
2015-11-01
Self-care, a key element of heart failure care, is challenging for patients with impaired cognition. Mechanisms through which cognitive impairment affects self-care are not currently well defined but evidence from other patient populations suggests that self-efficacy, or task-specific confidence, mediates the relationship between cognitive functioning and patient behaviors such as self-care. The aim of this study was to test the mediating role of self-care confidence in the relationship between cognition and self-care behaviors. A secondary analysis of data from a cross-sectional study. Outpatient heart failure clinics in 28 Italian provinces. 628 Italian heart failure patients. We used the Self-Care of Heart Failure Index v.6.2 to measure self-care maintenance, self-care management, and self-care confidence. Cognition was assessed with the Mini Mental State Examination. Structural equation modeling was used to analyze the data. Participants were 73 years old on average (SD=11), mostly (58%) male and mostly (77%) in New York Heart Association functional classes II and III. The mediation model showed excellent fit (comparative fit index=1.0; root mean square error of approximation=0.02): Self-care confidence totally mediated the relationship between cognition and self-care maintenance and management. Cognition affects self-care behaviors indirectly, through self-care confidence. Interventions aimed at improving self-care confidence may improve self-care, even in heart failure patients with impaired cognition. Copyright © 2015 Elsevier Ltd. All rights reserved.
ERIC Educational Resources Information Center
Kimsey, William D.; Atwood, L. Erwin
A path model was developed to assess the effects of early campaign cognitions and attitudes on media use and interpersonal communication, subsequent cognitions, attitudes, and vote. Two interpretations of possible outcomes were postulated: agenda setting, and uses and gratifications. It was argued that an agenda-setting interpretation would be…
[Treatment of generalized anxiety disorder in terms of cognitive behavioral].
Kamrowska, Anna; Gmitrowicz, Agnieszka
2016-02-01
Risk of generalized anxiety disorder (GAD) within life is estimated at 2.6-5.1%. Amongst etiological factors that affect the development of the disorder are: biological and psychological problems, including cognitive models. There are known several cognitive models: metacognitive, Borkovec'c model and the model developed in Quebec. Key cognitive contents that occur with generalized anxiety disorder are focused on two aspects: metacognitive beliefs and intolerance of uncertainty. A primary purpose of cognitive-behavioural therapy (CBT) is the modification of dysfunctional beliefs about worry. Cognitive behavioural therapy is effective in reducing anxiety, makes it easier to operate in the professional sphere and improves the quality of life. © 2016 MEDPRESS.
[Treatment of substance dependence by a bio-cognitive model based on behavioral pharmacology].
Hori, Toru; Komiyama, Tokutaro; Harada, Seiichi; Matsumoto, Takenori
2005-01-01
We have introduced cognitive behavior therapy (CBT) into the treatment of substance dependence patients, which involves disease education and focused group therapy to obtain insight into the taking behavior and to establish concrete countermeasures to prevent relapse. We have created a bio-cognitive model based on biological aspects to explain the pathology of substance dependence. 'Dependence' is a term in behavioral pharmacology defined as reinforced drug seeking and taking behavior. Changes in taking behavior are thought to occur due to the repetition of the reinforcement action of psychoactive substances in the reward system of the brain. Therefore, when intake desire is strong, it is hard for patients to control themselves, and there is a feature of difficulties considering the process of thinking in CBT. In other words, when craving becomes strong, a chain of behavior happens spontaneously, without schema, involving automatic thoughts. We think that the improvement of protracted withdrawal syndrome (PWS) and entire frontal lobe function are important in learning to discern distortion of cognition. When PWS is improved, a conflict is easy to bring about in the process of drug seeking and taking behavior. And, it is easy to execute avoidance plans (coping skills) which are established to cope with craving in advance. We think that a goal for treatment is to discern drug seeking and taking behavior with natural emotion. The recovery of PWS and frontal lobe dysfunction takes a long time with a serious dependence, so we must perform repetition of CBT. As the treatment introduction of involuntary admission cases is adequate or cases of 1 to 3 months of admission treatment based on voluntary admission are hard to treat, treatment to obtain insights into patients while carrying out repeated CBT using a bio-cognitive model and to improve PWS could be a possibility as one treatment for the pathology of diversified substance dependence.
Veksler, Vladislav D; Buchler, Norbou; Hoffman, Blaine E; Cassenti, Daniel N; Sample, Char; Sugrim, Shridat
2018-01-01
Computational models of cognitive processes may be employed in cyber-security tools, experiments, and simulations to address human agency and effective decision-making in keeping computational networks secure. Cognitive modeling can addresses multi-disciplinary cyber-security challenges requiring cross-cutting approaches over the human and computational sciences such as the following: (a) adversarial reasoning and behavioral game theory to predict attacker subjective utilities and decision likelihood distributions, (b) human factors of cyber tools to address human system integration challenges, estimation of defender cognitive states, and opportunities for automation, (c) dynamic simulations involving attacker, defender, and user models to enhance studies of cyber epidemiology and cyber hygiene, and (d) training effectiveness research and training scenarios to address human cyber-security performance, maturation of cyber-security skill sets, and effective decision-making. Models may be initially constructed at the group-level based on mean tendencies of each subject's subgroup, based on known statistics such as specific skill proficiencies, demographic characteristics, and cultural factors. For more precise and accurate predictions, cognitive models may be fine-tuned to each individual attacker, defender, or user profile, and updated over time (based on recorded behavior) via techniques such as model tracing and dynamic parameter fitting.
Li, Rosa
2017-10-01
Prevailing models of the development of decision-making propose that peak risk-taking occurs in adolescence due to a neural imbalance between two processes: gradual, linearly developing cognitive control and rapid, non-linearly developing reward-processing. Though many studies have found neural evidence supporting this dual-systems imbalance model, its behavioral predictions have been surprisingly difficult to document. Most laboratory studies have not found adolescents to exhibit greater risk-taking than children, and public health data show everyday risk-taking to peak in late adolescence/early adulthood. Moreover, when adolescents are provided detailed information about decision options and consequences, they evince similar behavior to adults. Such findings point to a critical feature of the development of decision-making that is missed by imbalance models. Specifically, the engagement of cognitive control is context dependent, such that cognitive control and therefore advantageous decision-making increases when available information is high and decreases when available information is low. Furthermore, the context dependence of cognitive control varies across development, such that increased information availability benefits children more than adolescents, who benefit more than adults. This review advances a flexible dual-systems model that is only imbalanced under certain conditions; explains disparities between neural, behavioral, and public health findings; and provides testable hypotheses for future research. Copyright © 2017 The Author. Published by Elsevier Ltd.. All rights reserved.
Granger, Matthew W; Franko, Bettina; Taylor, Matthew W; Messier, Claude; George-Hyslop, Peter St; Bennett, Steffany A L
2016-01-01
Cognitive decline is sexually dimorphic in Alzheimer's disease (AD). Men show higher incidences of amnestic mild cognitive impairment yet women disproportionally phenoconvert to AD. It is hypothesized that men maintain greater cognitive reserve than women under comparable amyloid-β (Aβ) challenge. One behavioral aspect of cognitive reserve in mice is the capacity to cope with Aβ-associated stereotypies by switching to increasingly effective navigational search strategies in the Morris water maze. To explore inherent sex differences in this paradigm, however, we require an AβPP mouse model wherein behavioral flexibility is impaired earlier in females than males despite equivalent Aβ load. Here, we show that when F1 C57Bl/6×C3H/HeJ TgCRND8 mice are placed on C57Bl/6 background, N5 Tg males and females exhibit equivalent Aβ pathologies at 2, 4, 6, and 8 months of age yet females display learning and memory deficits earlier than males. We further show that this N5 line does not carry the autosomal recessive pde6brd1 mutation that impairs visual acuity and that the estrous cycle is not disrupted on this genetic background. At 5.5 months of age, Tg males, but not females, compensate for Aβ-associated stereotypic behaviors (i.e., hyperactive tight circling) by alternating navigational search strategies and adopting increasingly productive spatial search strategies. Females fail to overcome Aβ-associated stereotypies and do not efficiently switch from systematic to spatial learning strategies. Together, these data identify a novel AβPP mouse model that can be used for preclinical testing of interventions targeting sexual dimorphisms in behavioral indices of cognitive reserve.
The role of emotions in UV protection intentions and behaviors.
Mahler, Heike I M
2014-01-01
Two studies examined the role of emotions, relative to cognitions, in predicting sun protection intentions and practices. In Study 1, 106 females were assessed for baseline sun protection, ultraviolet (UV) radiation exposure-related cognitions (perceived susceptibility to skin damage, self-efficacy for regular sunscreen use, perceived costs of sun protection use, perceived rewards of tanning), anticipated negative mood following future risky UV behavior, and future sun protection intentions. Self-reported sun protection behavior was then assessed in the same participants five weeks later. The results of Study 1 demonstrated that the extent to which participants' expected to experience negative feelings if they engaged in future risky UV behavior predicted their intentions to sun protect and their subsequent sun protection behaviors independent of their UV radiation exposure-related cognitions. In Study 2, in addition to the assessments collected in Study 1, participants were exposed to an appearance-based intervention that included visual images of their existing skin damage and were then assessed for their emotional reactions to the intervention. The results replicated those of Study 1 and, in addition, showed that negative emotional reactions to the intervention predicted future sun protection intentions and self-reported behaviors at follow-up, independent of the various cognitive factors that are central to prominent models of health behavior. These studies provide preliminary support for the development of expanded health behavior models that incorporate anticipated and experienced emotions.
Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent
ERIC Educational Resources Information Center
Mirolli, Marco
2012-01-01
Understanding the role of "representations" in cognitive science is a fundamental problem facing the emerging framework of embodied, situated, dynamical cognition. To make progress, I follow the approach proposed by an influential representational skeptic, Randall Beer: building artificial agents capable of minimally cognitive behaviors and…
Acquiring neural signals for developing a perception and cognition model
NASA Astrophysics Data System (ADS)
Li, Wei; Li, Yunyi; Chen, Genshe; Shen, Dan; Blasch, Erik; Pham, Khanh; Lynch, Robert
2012-06-01
The understanding of how humans process information, determine salience, and combine seemingly unrelated information is essential to automated processing of large amounts of information that is partially relevant, or of unknown relevance. Recent neurological science research in human perception, and in information science regarding contextbased modeling, provides us with a theoretical basis for using a bottom-up approach for automating the management of large amounts of information in ways directly useful for human operators. However, integration of human intelligence into a game theoretic framework for dynamic and adaptive decision support needs a perception and cognition model. For the purpose of cognitive modeling, we present a brain-computer-interface (BCI) based humanoid robot system to acquire brainwaves during human mental activities of imagining a humanoid robot-walking behavior. We use the neural signals to investigate relationships between complex humanoid robot behaviors and human mental activities for developing the perception and cognition model. The BCI system consists of a data acquisition unit with an electroencephalograph (EEG), a humanoid robot, and a charge couple CCD camera. An EEG electrode cup acquires brainwaves from the skin surface on scalp. The humanoid robot has 20 degrees of freedom (DOFs); 12 DOFs located on hips, knees, and ankles for humanoid robot walking, 6 DOFs on shoulders and arms for arms motion, and 2 DOFs for head yaw and pitch motion. The CCD camera takes video clips of the human subject's hand postures to identify mental activities that are correlated to the robot-walking behaviors. We use the neural signals to investigate relationships between complex humanoid robot behaviors and human mental activities for developing the perception and cognition model.
Unifying the field: developing an integrative paradigm for behavior therapy.
Eifert, G H; Forsyth, J P; Schauss, S L
1993-06-01
The limitations of early conditioning models and treatments have led many behavior therapists to abandon conditioning principles and replace them with loosely defined cognitive theories and treatments. Systematic theory extensions to human behavior, using new concepts and processes derived from and built upon the basic principles, could have prevented the divisive debates over whether psychological dysfunctions are the results of conditioning or cognition and whether they should be treated with conditioning or cognitive techniques. Behavior therapy could also benefit from recent advances in experimental cognitive psychology that provide objective behavioral methods of studying dysfunctional processes. We suggest a unifying paradigm for explaining abnormal behavior that links and integrates different fields of study and processes that are frequently believed to be incompatible or antithetical such as biological vulnerability variables, learned behavioral repertoires, and that also links historical and current antecedents of the problem. An integrative paradigmatic behavioral approach may serve a unifying function in behavior therapy (a) by promoting an understanding of the dysfunctional processes involved in different disorders and (b) by helping clinicians conduct functional analyses that lead to theory-based, individualized, and effective treatments.
Modeling the Direct and Indirect Determinants of Different Types of Individual Job Performance
2008-06-01
cognitions , and self-regulation). A different model was found to describe the process depending on whether the performance dimension was an element of...performing the behaviors they indicated they intended to perform, and assembled a battery of existing instruments to measure cognitive ability, personality...model came from the task performance dimension. For this dimension, knowledge, skill, cognitive choice aspects of motivation, and self-regulation
Folkecology and commons management in the Maya Lowlands
Atran, Scott; Medin, Douglas; Ross, Norbert; Lynch, Elizabeth; Coley, John; Ek’, Edilberto Ucan; Vapnarsky, Valentina
1999-01-01
Three groups living off the same rainforest habitat manifest strikingly distinct behaviors, cognitions, and social relationships relative to the forest. Only the area’s last native Maya reveal systematic awareness of ecological complexity involving animals, plants, and people and practices clearly favoring forest regeneration. Spanish-speaking immigrants prove closer to native Maya in thought, action, and social networking than do immigrant Maya. There is no overriding “local,” “Indian,” or “immigrant” relationship to the environment. Results indicate that exclusive concern with rational self-interest and institutional constraints do not sufficiently account for commons behavior and that cultural patterning of cognition and access to relevant information are significant predictors. Unlike traditional accounts of relations between culture, cognition, and behavior, the models offered are not synthetic interpretations of people’s thoughts and behaviors but are emergent cultural patterns derived statistically from measurements of individual cognitions and behaviors. PMID:10377461
Clustering of Midlife Lifestyle Behaviors and Subsequent Cognitive Function: A Longitudinal Study
Andreeva, Valentina A.; Lassale, Camille; Hercberg, Serge; Galan, Pilar
2014-01-01
Objectives. We examined the association between individual and clustered lifestyle behaviors in middle age and later in cognitive functioning. Methods. Middle-aged participants (n = 2430) in the Supplémentation en Vitamines et Minéraux Antioxydant study self-reported their low physical activity, sedentary behavior, alcohol use, smoking, low fruit and vegetable consumption, and low fish consumption. We assessed cognition 13 years later via 6 neuropsychological tests. After standardization, we summed the scores for a composite cognitive measure. We estimated executive functioning and verbal memory scores using principal component analysis. We estimated the mean differences (95% confidence intervals [CIs]) in cognitive performance by the number of unhealthy behaviors using analysis of covariance. We identified latent unhealthy behavior factor via structural equation modeling. Results. Global cognitive function and verbal memory were linearly, negatively associated with the number of unhealthy behaviors: adjusted mean differences = −0.36 (95% CI = −0.69, −0.03) and −0.46 (95% CI = −0.80, −0.11), respectively, per unit increase in the number of unhealthy behaviors. The latent unhealthy behavior factor with low fruit and vegetable consumption and low physical activity as main contributors was associated with reduced verbal memory (RMSEA = 0.02; CFI = 0.96; P = .004). No association was found with executive functioning. Conclusions. Comprehensive public health strategies promoting healthy lifestyles might help deter cognitive aging. PMID:25211733
McDougall, Graham J.
2009-01-01
The human brain has the potential for self-renewal through adult neurogenesis, which is the birth of new neurons. Neural plasticity implies that the nervous system can change and grow. This understanding has created new possibilities for cognitive enhancement and rehabilitation. However, as individuals age, they have decreased confidence, or memory self-efficacy, which is directly related to their everyday memory performance. In this article, a developmental account of studies about memory self-efficacy and nonpharmacologic cognitive intervention models is presented and a cognitive intervention model, called the cognitive behavioral model of everyday memory, is proposed. PMID:19065089
2004-01-01
Cognitive Task Analysis Abstract As Department of Defense (DoD) leaders rely more on modeling and simulation to provide information on which to base...capabilities and intent. Cognitive Task Analysis (CTA) Cognitive Task Analysis (CTA) is an extensive/detailed look at tasks and subtasks performed by a...Domain Analysis and Task Analysis: A Difference That Matters. In Cognitive Task Analysis , edited by J. M. Schraagen, S.
Rational Approximations to Rational Models: Alternative Algorithms for Category Learning
ERIC Educational Resources Information Center
Sanborn, Adam N.; Griffiths, Thomas L.; Navarro, Daniel J.
2010-01-01
Rational models of cognition typically consider the abstract computational problems posed by the environment, assuming that people are capable of optimally solving those problems. This differs from more traditional formal models of cognition, which focus on the psychological processes responsible for behavior. A basic challenge for rational models…
A Dual-Process Model of the Alcohol-Behavior Link for Social Drinking
ERIC Educational Resources Information Center
Moss, Antony C.; Albery, Ian P.
2009-01-01
A dual-process model of the alcohol-behavior link is presented, synthesizing 2 of the major social-cognitive approaches: expectancy and myopia theories. Substantial evidence has accrued to support both of these models, and recent neurocognitive models of the effects of alcohol on thought and behavior have provided evidence to support both as well.…
ERIC Educational Resources Information Center
Shen, Yih-Jiun
2007-01-01
This study compared the effectiveness of short-term developmental group counseling applying Gestalt-play versus cognitive-verbal approaches with Taiwanese adolescents. On a measure of behavioral and emotional strengths, teachers reported significant changes in students' overall behavioral and emotional strengths measured via total scores. Specific…
Joint Trajectories of Behavioral, Affective, and Cognitive Engagement in Elementary School
ERIC Educational Resources Information Center
Archambault, Isabelle; Dupéré, Véronique
2017-01-01
The aim of the present study was to model student trajectories of behavioral, affective, and cognitive engagement from Grade 3 to Grade 6. The authors also examined whether teachers perceptions could predict student trajectory membership. The authors collected data from a sample of 831 students and 152 teachers. Using multiple-process growth…
A Cognitive Analysis of Credit Card Acquisition and College Student Financial Development.
ERIC Educational Resources Information Center
Kidwell, Blair; Turrisi, Robert
2000-01-01
Examines cognitions relevant to credit card decision making in college-aged participants (N=304). Assesses measures of beliefs, attitudes, and behavioral alternatives toward acquiring a credit card. Identifies a multivariate model predicting college student financial development of the attitudes and behavioral tendencies of acquiring a new card.…
A Cognitive Behavioral Depression Prevention Program for Early Adolescents
ERIC Educational Resources Information Center
Miloseva, Lence
2013-01-01
The aim of this study was to present results of our one year experience with Cognitive Behavioral Psychology Program, in order to contribute to the building of whole school approach and positive psychology preventive mental health problems model. Based on Penn Resilience program (PRP), we modify and create program for early adolescents: how to…
ERIC Educational Resources Information Center
Pifalo, Terry
2007-01-01
Art therapy in conjunction with cognitive behavioral therapy reduces symptoms and enhances the potential for positive outcomes for sexually abused children in trauma-focused treatment. This article presents a treatment model that utilizes specific art therapy interventions to facilitate treatment, based on research on the effectiveness of combined…
ERIC Educational Resources Information Center
Choate, Laura H.
2010-01-01
Eating disorder not otherwise specified (EDNOS; American Psychiatric Association, 2000) is, by far, the most common eating disorder that college counseling professionals encounter among their female clients. Empirical evidence and best practice guidelines support use of cognitive behavior therapy (CBT) with women experiencing EDNOS. This article…
Exploring Dynamical Assessments of Affect, Behavior, and Cognition and Math State Test Achievement
ERIC Educational Resources Information Center
San Pedro, Maria Ofelia Z.; Snow, Erica L.; Baker, Ryan S.; McNamara, Danielle S.; Heffernan, Neil T.
2015-01-01
There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…
A Cognitive Neuroscience Perspective on Embodied Language for Human-Robot Cooperation
ERIC Educational Resources Information Center
Madden, Carol; Hoen, Michel; Dominey, Peter Ford
2010-01-01
This article addresses issues in embodied sentence processing from a "cognitive neural systems" approach that combines analysis of the behavior in question, analysis of the known neurophysiological bases of this behavior, and the synthesis of a neuro-computational model of embodied sentence processing that can be applied to and tested in the…
de Jong, Marjanneke; Verhoeven, Marjolein; Hooge, Ignace T C; Maingay-Visser, Arnoldina P G F; Spanjerberg, Louise; van Baar, Anneloes L
2018-04-01
Why do many preterm children show delays in development? An integrated model of biological risk, children's capacities, and maternal stimulation was investigated in relation to cognitive functioning at toddler age. Participants were 200 Dutch children (gestational age = 32-41 weeks); 51% boys, 96% Dutch nationality, 71.5% highly educated mothers. At 18 months, attention capacities were measured using eye-tracking, and maternal attention-directing behavior was observed. Cognitive functioning was measured at 24 months using the Bayley-III-NL. Cognitive functioning was directly predicted by children's attention capacities and maternal attention-maintaining behavior. Gestational age was indirectly related to cognitive functioning through children's attention capacities and through maternal attention-redirecting behavior. In this way, a combination of gestational age, children's attention capacities, and maternal stimulation was associated with early cognitive development. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Buffart, Laurien M; de Bree, Remco; Altena, Martine; van der Werff, Sophie; Drossaert, Constance H C; Speksnijder, Caroline M; van den Brekel, Michiel W; Jager-Wittenaar, Harriët; Aaronson, Neil K; Stuiver, Martijn M
2018-05-01
The purpose of the study is to identify demographic, clinical, lifestyle-related, and social-cognitive correlates of physical activity (PA) intention and behavior in head and neck cancer (HNC) survivors using the theory of planned behavior (TPB). Data from two cross-sectional studies on correlates of PA in HNC survivors were pooled. Both studies used self-reports to assess PA and social-cognitive correlates. Potential correlates were collected via self-report or medical records. Univariable and multivariable multilevel linear mixed-effects models were built to identify correlates of PA intention and PA behavior (Z scores). Structural equation model analyses were conducted to study the full TPB model in one analysis, taking into account relevant covariates. In total, 416 HNC survivors were surveyed. Their mean (SD) age was 66.6 (9.4) years; 64% were men, and 78% were diagnosed with laryngeal cancer. The structural equation model showed that PA intention was significantly higher in HNC survivors with a history of exercising, who had a more positive attitude, subjective norm, and perceived behavioral control. Patients with higher PA intention, higher PBC, a lower age, and without unintentional weight loss or comorbidities had higher PA behavior. The model explained 22.9% of the variance in PA intention and 16.1% of the variance in PA behavior. Despite significant pathways of the TPB model, the large proportion variance in PA intention and behavior remaining unexplained suggests the need for better PA behavior (change) models to guide the development of PA promotion programs, particularly for the elderly. Such programs should be tailored to comorbidities and nutritional status.
Gerrard, Meg; Gibbons, Frederick X; Stock, Michelle L; Lune, Linda S Vande; Cleveland, Michael J
2005-06-01
This study used the prototype/willingness model of adolescent health risk behavior to examine factors related to onset of smoking. Two waves of data were collected from a panel of 742 African American children (mean age=10.5 at Wave 1) and their primary caregivers. Measures included cognitions outlined by the prototype model as well as self-reports of smoking by the parent and child. Structural equation modeling revealed a pattern consistent with expectations generated by the prototype model. The relation between contextual, familial, and dispositional factors-including neighborhood risk, parental smoking, and children's academic orientation-and the initiation of smoking at Wave 2, two years later, was mediated by the children's cognitions. Primary among these cognitions were the children's images of smokers and children's willingness to smoke. Smoking cognitions mediate the impact of important distal factors (such as context, family environment, and disposition) on the onset of smoking in children. Perhaps more important, it is possible to predict onset of smoking in African American children as young as age 10 by assessing the cognitive factors suggested by the prototype model.
Modeling a flexible representation machinery of human concept learning.
Matsuka, Toshihiko; Sakamoto, Yasuaki; Chouchourelou, Arieta
2008-01-01
It is widely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of how categories are internally represented in our mind. Traditionally, it has been considered that there is a single innate internal representation system for categorical knowledge, such as Exemplars, Prototypes, or Rules. However, results of recent empirical and computational studies collectively suggest that the human internal representation system is apparently capable of exhibiting behaviors consistent with various types of internal representation schemes. We, then, hypothesized that humans' representational system as a dynamic mechanism, capable of selecting a representation scheme that meets situational characteristics, including complexities of category structure. The present paper introduces a framework for a cognitive model that integrates robust and flexible internal representation machinery. Three simulation studies were conducted. The results showed that SUPERSET, our new model, successfully exhibited cognitive behaviors that are consistent with three main theories of the human internal representation system. Furthermore, a simulation study on social cognitive behaviors showed that the model was capable of acquiring knowledge with high commonality, even for a category structure with numerous valid conceptualizations.
Rich analysis and rational models: Inferring individual behavior from infant looking data
Piantadosi, Steven T.; Kidd, Celeste; Aslin, Richard
2013-01-01
Studies of infant looking times over the past 50 years have provided profound insights about cognitive development, but their dependent measures and analytic techniques are quite limited. In the context of infants' attention to discrete sequential events, we show how a Bayesian data analysis approach can be combined with a rational cognitive model to create a rich data analysis framework for infant looking times. We formalize (i) a statistical learning model (ii) a parametric linking between the learning model's beliefs and infants' looking behavior, and (iii) a data analysis model that infers parameters of the cognitive model and linking function for groups and individuals. Using this approach, we show that recent findings from Kidd, Piantadosi, and Aslin (2012) of a U-shaped relationship between look-away probability and stimulus complexity even holds within infants and is not due to averaging subjects with different types of behavior. Our results indicate that individual infants prefer stimuli of intermediate complexity, reserving attention for events that are moderately predictable given their probabilistic expectations about the world. PMID:24750256
Rich analysis and rational models: inferring individual behavior from infant looking data.
Piantadosi, Steven T; Kidd, Celeste; Aslin, Richard
2014-05-01
Studies of infant looking times over the past 50 years have provided profound insights about cognitive development, but their dependent measures and analytic techniques are quite limited. In the context of infants' attention to discrete sequential events, we show how a Bayesian data analysis approach can be combined with a rational cognitive model to create a rich data analysis framework for infant looking times. We formalize (i) a statistical learning model, (ii) a parametric linking between the learning model's beliefs and infants' looking behavior, and (iii) a data analysis approach and model that infers parameters of the cognitive model and linking function for groups and individuals. Using this approach, we show that recent findings from Kidd, Piantadosi and Aslin (iv) of a U-shaped relationship between look-away probability and stimulus complexity even holds within infants and is not due to averaging subjects with different types of behavior. Our results indicate that individual infants prefer stimuli of intermediate complexity, reserving attention for events that are moderately predictable given their probabilistic expectations about the world. © 2014 John Wiley & Sons Ltd.
Different macaque models of cognitive aging exhibit task-dependent behavioral disparities.
Comrie, Alison E; Gray, Daniel T; Smith, Anne C; Barnes, Carol A
2018-05-15
Deficits in cognitive functions that rely on the integrity of the frontal and temporal lobes are characteristic of normative human aging. Due to similar aging phenotypes and homologous cortical organization between nonhuman primates and humans, several species of macaque monkeys are used as models to explore brain senescence. These macaque species are typically regarded as equivalent models of cognitive aging, yet no direct comparisons have been made to support this assumption. Here we used adult and aged rhesus and bonnet macaques (Macaca mulatta and Macaca radiata) to characterize the effect of age on acquisition and retention of information across delays in a battery of behavioral tasks that rely on prefrontal cortex and medial temporal lobe networks. The cognitive functions that were tested include visuospatial short-term memory, object recognition memory, and object-reward association memory. In general, bonnet macaques at all ages outperformed rhesus macaques on tasks thought to rely primarily on the prefrontal cortex, and were more resilient to age-related deficits in these behaviors. On the other hand, both species were comparably impaired by age on tasks thought to preferentially engage the medial temporal lobe. Together, these results suggest that rhesus and bonnet macaques are not equivalent models of cognitive aging and highlight the value of cross-species comparisons. These observations should enable improved design and interpretation of future experiments aimed at understanding changes in cognition across the lifespan. Copyright © 2018 Elsevier B.V. All rights reserved.
Poehlmann, Julie; Hane, Amanda; Burnson, Cynthia; Maleck, Sarah; Hamburger, Elizabeth; Shah, Prachi E
2012-10-01
The differential susceptibility (DS) model suggests that temperamentally prone-to-distress infants may exhibit adverse outcomes in negative environments but optimal outcomes in positive environments. This study explored temperament, parenting, and 36-month cognition and behavior in preterm infants using the DS model. We hypothesized that temperamentally prone to distress preterm infants would exhibit more optimal cognition and fewer behavior problems when early parenting was positive; and less optimal cognition and more behavior problems when early parenting was less positive. Participants included 109 preterm infants (gestation <37 weeks) and their mothers. We assessed neonatal risk and basal vagal tone in the neonatal intensive care unit; infant temperament and parenting interactions at 9 months post-term; and child behavior and cognitive skills at 36 months post-term. Hierarchical regression analyses tested study hypotheses. Temperamentally prone-to-distress infants exhibited more externalizing problems if they experienced more critical parenting at 9 months (β = -.20, p < 0.05) but fewer externalizing problems with more positive parenting. Similarly, variations in maternal positive affect (β = .25, p < .01) and intrusive behaviors (β = .23, p < .05) at 9 months predicted 36-month cognition at high but not at low levels of infant temperamental distress. Higher basal vagal tone predicted fewer externalizing problems (β = -.19, p < .05). Early parenting behaviors relate to later behavior and development in preterm infants who are temperamentally prone to distress, and neonatal basal vagal tone predicts subsequent externalizing behaviors. These findings suggest that both biological reactivity and quality of caregiving are important predictors for later outcomes in preterm infants and may be considered as foci for developmental surveillance and interventions. © 2012 The Authors. Journal of Child Psychology and Psychiatry © 2012 Association for Child and Adolescent Mental Health.
Paule, Merle G; Green, Leonard; Myerson, Joel; Alvarado, Maria; Bachevalier, Jocelyne; Schneider, Jay S; Schantz, Susan L
2012-03-01
A variety of behavioral instruments are available for assessing important aspects of cognition in both animals and humans and, in many cases, the same instruments can be used in both. While nonhuman primates are phylogenetically closest to humans, rodents, pigeons and other animals also offer behaviors worthy of note. Delay Discounting procedures are as useful as any in studies of impulsivity and may have utility in shedding light on processes associated with drug abuse. Specific memory tests such as Visual Paired Comparisons tasks (similar to the Fagan test of infant intelligence) can be modified to allow for assessment of different aspects of memory such as spatial memory. Use of these and other specific memory tasks can be used to directly monitor aspects of cognitive development in infant animals, particularly in nonhuman primates such as monkeys, and children and to draw inferences with respect to possible neuroanatomical substrates sub-serving their functions. Tasks for assessing working memory such as Variable Delayed Response (VDR), modified VDR and Spatial Working Memory tasks are now known to be affected in Parkinson's disease (PD). These and other cognitive function tasks are being used in a monkey model of PD to assess the ability of anti-Parkinson's disease therapies to ameliorate these cognitive deficits without diminishing their therapeutic effects on motor dysfunction. Similarly, in a rat model of the cognitive deficits associated with perinatal exposure to polychlorinated biphenyls (PCBs), clear parallels with children can be seen in at least two areas of executive function: cognitive flexibility and response inhibition. In the rat model, discrimination reversal tasks were utilized to assess cognitive flexibility, a function often assessed in humans using the Wisconsin Card Sorting Task. Response inhibition was assessed using performance in a Differential Reinforcement of Low Response Rates (DRL) task. As the data continue to accumulate, it becomes more clear that our attempts to adapt animal-appropriate tasks for the study of important aspects of human cognition have proven to be very fruitful. Published by Elsevier Inc.
Simulating motivated cognition
NASA Technical Reports Server (NTRS)
Gevarter, William B.
1991-01-01
A research effort to develop a sophisticated computer model of human behavior is described. A computer framework of motivated cognition was developed. Motivated cognition focuses on the motivations or affects that provide the context and drive in human cognition and decision making. A conceptual architecture of the human decision-making approach from the perspective of information processing in the human brain is developed in diagrammatic form. A preliminary version of such a diagram is presented. This architecture is then used as a vehicle for successfully constructing a computer program simulation Dweck and Leggett's findings that relate how an individual's implicit theories orient them toward particular goals, with resultant cognitions, affects, and behavior.
Bryan, Angela; Rocheleau, Courtney A.; Robbins, Reuben N.; Hutchison, Kent E.
2005-01-01
The goal of this study was the exploration of distal effects of alcohol use on condom use. Criminally involved adolescents completed an initial measure of attitudes, beliefs, and prior behavior. Of the 300 who completed the initial measurement, 267 (89%) completed a behavioral assessment 6 months later. Analyses validated a theoretical model of condom use intentions and indicated that intentions and attitudes measured at baseline were significant predictors of condom use behavior 6 months later. Neither alcohol use nor alcohol problems moderated relationships among model variables or the influence of intentions and attitudes on behavior. The findings do not support a distal role for alcohol use in altering the cognitive correlates of condom use intentions and behavior among high-risk adolescents. PMID:15755227
Treating Anger: The Misunderstood Emotion in Children.
ERIC Educational Resources Information Center
Akande, Adebowale
1997-01-01
Reviews behavioral and cognitive interventions that are potential models for the treatment of anger and impulsivity in brain injured patients, including a multicomponent treatment approach coupled with cognitive interventions. Proposes strategies to establish a therapeutic relationship with angry, impulsive patients. Examines models for treating…
Cognitive behavioral therapy for compulsive buying disorder.
Mitchell, James E; Burgard, Melissa; Faber, Ron; Crosby, Ross D; de Zwaan, Martina
2006-12-01
To our knowledge, no psychotherapy treatment studies for compulsive buying have been published. The authors conducted a pilot trial comparing the efficacy of a group cognitive behavioral intervention designed for the treatment of compulsive buying to a waiting list control. Twenty-eight subjects were assigned to receive active treatment and 11 to the waiting list control group. The results at the end of treatment showed significant advantages for cognitive behavioral therapy (CBT) over the waiting list in reductions in the number of compulsive buying episodes and time spent buying, as well as scores on the Yale-Brown Obsessive Compulsive Scale--Shopping Version and the Compulsive Buying Scale. Improvement was well-maintained at 6-month follow-up. The pilot data suggests that a cognitive behavioral intervention can be quite effective in the treatment of compulsive buying disorder. This model requires further testing.
Experiential Avoidance as a Mediator of Relationships between Cognitions and Hair-Pulling Severity
ERIC Educational Resources Information Center
Norberg, Melissa M.; Wetterneck, Chad T.; Woods, Douglas W.; Conelea, Christine A.
2007-01-01
Cognitive-behavioral models suggest that certain cognitions and beliefs are functionally related to hair pulling in persons with trichotillomania (TTM), but little empirical data have been collected to test such claims. This study assessed dysfunctional beliefs about appearance, shameful cognitions, and fear of negative evaluation and their…
Dynamic goal states: adjusting cognitive control without conflict monitoring.
Scherbaum, Stefan; Dshemuchadse, Maja; Ruge, Hannes; Goschke, Thomas
2012-10-15
A central topic in the cognitive sciences is how cognitive control is adjusted flexibly to changing environmental demands at different time scales to produce goal-oriented behavior. According to an influential account, the context-sensitive recruitment of cognitive control is mediated by a specialized conflict monitoring process that registers current conflict and signals the demand for enhanced control in subsequent trials. This view has been immensely successful not least due to supporting evidence from neuroimaging studies suggesting that the conflict monitoring function is localized within the anterior cingulate cortex (ACC) which, in turn, signals the demand for enhanced control to the prefrontal cortex (PFC). In this article, we propose an alternative model of the adaptive regulation of cognitive control based on multistable goal attractor network dynamics and adjustments of cognitive control within a conflict trial. Without incorporation of an explicit conflict monitoring module, the model mirrors behavior in conflict tasks accounting for effects of response congruency, sequential conflict adaptation, and proportion of incongruent trials. Importantly, the model also mirrors frequency tagged EEG data indicating continuous conflict adaptation and suggests a reinterpretation of the correlation between ACC and the PFC BOLD data reported in previous imaging studies. Together, our simulation data propose an alternative interpretation of both behavioral data as well as imaging data that have previously been interpreted in favor of a specialized conflict monitoring process in the ACC. Copyright © 2012 Elsevier Inc. All rights reserved.
Cultural Adaptations of Cognitive Behavioral Therapy.
Hinton, Devon E; Patel, Anushka
2017-12-01
In increasingly multicultural societies, cognitive behavioral therapy (CBT) must be made appropriate for diverse groups. This article examines cultural adaptations of CBT, focusing on anxiety and depressive disorders. The article presents a culturally informed, transdiagnostic model of how anxious-depressive distress is generated and culturally shaped. Guided by this model, it discusses how interventions can be designed to decrease anxiety-type and depressive-type psychopathology in a culturally sensitive way. It describes such concepts as explanatory model bridging, cultural grounding, and contextual sensitivity. Copyright © 2017 Elsevier Inc. All rights reserved.
Gomez, Jessie A; Carter, Alice S; Forbes, Danielle; Gray, Sarah A O
2018-06-01
Utilizing a two-dimensional model of parenting emphasizing both (1) proximity seeking and (2) exploration, consistent with a conceptual framework rooted in attachment theory, the relations between parental insightfulness, observed parenting, and child cognitive outcomes were investigated in a low-income sample of 64 of caregivers and their young 3-5-year-old children. Specifically, observed parental sensitivity (proximity seeking) and intrusiveness (exploration) and parental insightfulness assessed dimensionally to capture Positive Insight and Focus on Child were examined in relation to child cognitive outcomes. Parental intrusiveness was negatively correlated with cognitive performance; however, parental sensitivity was not associated with child cognitive outcomes. Parents' capacity to remain child-focused during the Insightfulness Assessment was negatively correlated with observed intrusiveness and was associated with child cognitive performance. These results suggest unique contributions of dimensions of parental insightfulness and parenting behaviors to child cognitive outcomes - specifically, parents' capacity to remain focused on children's experience during the Insightfulness Assessment and nonintrusive parenting behavior, which may reflect strategies to support children's exploration.
Moving Beyond ERP Components: A Selective Review of Approaches to Integrate EEG and Behavior
Bridwell, David A.; Cavanagh, James F.; Collins, Anne G. E.; Nunez, Michael D.; Srinivasan, Ramesh; Stober, Sebastian; Calhoun, Vince D.
2018-01-01
Relationships between neuroimaging measures and behavior provide important clues about brain function and cognition in healthy and clinical populations. While electroencephalography (EEG) provides a portable, low cost measure of brain dynamics, it has been somewhat underrepresented in the emerging field of model-based inference. We seek to address this gap in this article by highlighting the utility of linking EEG and behavior, with an emphasis on approaches for EEG analysis that move beyond focusing on peaks or “components” derived from averaging EEG responses across trials and subjects (generating the event-related potential, ERP). First, we review methods for deriving features from EEG in order to enhance the signal within single-trials. These methods include filtering based on user-defined features (i.e., frequency decomposition, time-frequency decomposition), filtering based on data-driven properties (i.e., blind source separation, BSS), and generating more abstract representations of data (e.g., using deep learning). We then review cognitive models which extract latent variables from experimental tasks, including the drift diffusion model (DDM) and reinforcement learning (RL) approaches. Next, we discuss ways to access associations among these measures, including statistical models, data-driven joint models and cognitive joint modeling using hierarchical Bayesian models (HBMs). We think that these methodological tools are likely to contribute to theoretical advancements, and will help inform our understandings of brain dynamics that contribute to moment-to-moment cognitive function. PMID:29632480
Learning the Task Management Space of an Aircraft Approach Model
NASA Technical Reports Server (NTRS)
Krall, Joseph; Menzies, Tim; Davies, Misty
2014-01-01
Validating models of airspace operations is a particular challenge. These models are often aimed at finding and exploring safety violations, and aim to be accurate representations of real-world behavior. However, the rules governing the behavior are quite complex: nonlinear physics, operational modes, human behavior, and stochastic environmental concerns all determine the responses of the system. In this paper, we present a study on aircraft runway approaches as modeled in Georgia Tech's Work Models that Compute (WMC) simulation. We use a new learner, Genetic-Active Learning for Search-Based Software Engineering (GALE) to discover the Pareto frontiers defined by cognitive structures. These cognitive structures organize the prioritization and assignment of tasks of each pilot during approaches. We discuss the benefits of our approach, and also discuss future work necessary to enable uncertainty quantification.
Davis, Seth N P; Bergeron, Sophie; Bois, Katy; Sadikaj, Gentiana; Binik, Yitzchak M; Steben, Marc
2015-04-01
Provoked vestibulodynia (PVD) is a common genital pain disorder in women that is associated with sexual dysfunction and lowered sexual satisfaction. A potentially applicable cognitive-behavioral model of chronic pain and disability is the fear-avoidance model (FAM) of pain. The FAM posits that cognitive variables, such as pain catastrophizing, fear, and anxiety lead to avoidance of pain-provoking behaviors (eg, intercourse), resulting in continued pain and disability. Although some of the FAM variables have been shown to be associated with PVD pain and sexuality outcomes, the model as a whole has never been tested in this population. An additional protective factor, pain self-efficacy (SE), is also associated with PVD, but has not been tested within the FAM model. Using a 2-year longitudinal design, we examine (1) whether initial levels (T1) of the independent FAM variables and pain SE were associated with changes in pain, sexual function, and sexual satisfaction over the 2-year time period; (2) the prospective contribution of changes in cognitive-affective (FAM) variables to changes in pain, and sexuality outcomes; and (3) whether these were mediated by behavioral change (avoidance of intercourse). A sample of 222 women with PVD completed self-report measures of FAM variables, SE, pain, sexual function, and sexual satisfaction at time 1 and at a 2-year follow-up. Structural equation modeling with Latent Difference Scores was used to examine changes and to examine mediation between variables. Questionnaires included the Pain Catastrophizing Scale, McGill Pain Questionnaire, Trait Anxiety Inventory, Pain Self-Efficacy Scale, and Global Measure of Sexual Satisfaction, Female Sexual Function Index. Participants who reported higher SE at T1 reported greater declines in pain, greater increases in sexual satisfaction, and greater declines in sexual function over the 2 time points. The overall change model did not support the FAM using negative cognitive-affective variables. Only increases in pain SE were associated with reductions in pain intensity. The relationship between changes in SE and changes in pain was partially mediated through changes in avoidance (more intercourse attempts). The same pattern of results was found for changes in sexual satisfaction as the outcome, and a partial mediation effect was found. There were no significant predictors of changes in sexual function other than T1 SE. Changes in both cognitive and behavioral variables were significantly associated with improved pain and sexual satisfaction outcomes. However, it was the positive changes in SE that better predicted changes in avoidance behavior, pain, and sexual satisfaction. Cognitive-behavior therapy is often focused on changing negative pain-related cognitions to reduce avoidance and pain, but the present results demonstrate the potential importance of bolstering positive self-beliefs as well. Indeed, before engaging in exposure therapies, SE beliefs should be assessed and potentially targeted to improve adherence to exposure strategies.
Penn, David L; Mueser, Kim T; Tarrier, Nick; Gloege, Andrew; Cather, Corrine; Serrano, Daniel; Otto, Michael W
2004-01-01
This article posits that the positive findings for supportive therapy (ST) in recent trials may indicate an important but undervalued aspect of psychosocial interventions for schizophrenia. In developing this thesis, we consider the possible mechanisms underlying the beneficial effects of ST observed in recent trials of cognitive behavioral therapy for schizophrenia. We place this evidence in the context of a review of psychological models of mental health, the therapeutic alliance, and research on social cognition and social support in schizophrenia. We conclude this article by describing a new theoretically driven intervention for schizophrenia, functional cognitive-behavioral therapy (FCBT), which improves functional outcomes by integrating evidence-based advances in cognitive behavioral therapy with the strengths of ST approaches.
Bounded rationality alters the dynamics of paediatric immunization acceptance.
Oraby, Tamer; Bauch, Chris T
2015-06-02
Interactions between disease dynamics and vaccinating behavior have been explored in many coupled behavior-disease models. Cognitive effects such as risk perception, framing, and subjective probabilities of adverse events can be important determinants of the vaccinating behaviour, and represent departures from the pure "rational" decision model that are often described as "bounded rationality". However, the impact of such cognitive effects in the context of paediatric infectious disease vaccines has received relatively little attention. Here, we develop a disease-behavior model that accounts for bounded rationality through prospect theory. We analyze the model and compare its predictions to a reduced model that lacks bounded rationality. We find that, in general, introducing bounded rationality increases the dynamical richness of the model and makes it harder to eliminate a paediatric infectious disease. In contrast, in other cases, a low cost, highly efficacious vaccine can be refused, even when the rational decision model predicts acceptance. Injunctive social norms can prevent vaccine refusal, if vaccine acceptance is sufficiently high in the beginning of the vaccination campaign. Cognitive processes can have major impacts on the predictions of behaviour-disease models, and further study of such processes in the context of vaccination is thus warranted.
Bounded rationality alters the dynamics of paediatric immunization acceptance
Oraby, Tamer; Bauch, Chris T.
2015-01-01
Interactions between disease dynamics and vaccinating behavior have been explored in many coupled behavior-disease models. Cognitive effects such as risk perception, framing, and subjective probabilities of adverse events can be important determinants of the vaccinating behaviour, and represent departures from the pure “rational” decision model that are often described as “bounded rationality”. However, the impact of such cognitive effects in the context of paediatric infectious disease vaccines has received relatively little attention. Here, we develop a disease-behavior model that accounts for bounded rationality through prospect theory. We analyze the model and compare its predictions to a reduced model that lacks bounded rationality. We find that, in general, introducing bounded rationality increases the dynamical richness of the model and makes it harder to eliminate a paediatric infectious disease. In contrast, in other cases, a low cost, highly efficacious vaccine can be refused, even when the rational decision model predicts acceptance. Injunctive social norms can prevent vaccine refusal, if vaccine acceptance is sufficiently high in the beginning of the vaccination campaign. Cognitive processes can have major impacts on the predictions of behaviour-disease models, and further study of such processes in the context of vaccination is thus warranted. PMID:26035413
Hong, Seong Min; Soe, Kyong Hee; Lee, Taek Hwan; Kim, In Sook; Lee, Young Min; Lim, Beong Ou
2018-01-10
The present study aimed to evaluate the preventive effects of highbush blueberry (Vaccinium corymbosum L.) vinegar (BV) on cognitive functions in a scopolamine (Sco)-induced amnesia model in mice. In this study, Sco (1 mg/kg, intraperitoneal injection) was used to induce amnesia. ICR mice were orally administered donepezil (5 mg/kg), blueberry extract (120 mg/kg), and BV (120 mg/kg) for 7 days. After inducing cognitive impairment by Sco, a behavioral assessment using behavior tests (i.e., Y-maze and passive avoidance tests) was performed. The BV group showed significantly restored cognitive function in the behavioral tests. BV facilitated cholinergic activity by inhibiting acetylcholinesterase activity, and enhanced antioxidant enzyme activity. Furthermore, BV was found to be rehabilitated in the cornu ammonis 1 neurons of hippocampus. In our study, we demonstrated that the memory protection conferred by BV was linked to activation of brain-derived neurotrophic factor (BDNF)/cAMP response element binding protein (CREB)/serine-threonine kinase (AKT) signaling.
Personality from a cognitive-biological perspective.
Neuman, Yair
2014-12-01
The term "personality" is used to describe a distinctive and relatively stable set of mental traits that aim to explain the organism's behavior. The concept of personality that emerged in human psychology has been also applied to the study of non-human organisms from birds to horses. In this paper, I critically review the concept of personality from an interdisciplinary perspective, and point to some ideas that may be used for developing a cognitive-biological theory of personality. Integrating theories and research findings from various fields such as cognitive ethnology, clinical psychology, and neuroscience, I argue that the common denominator of various personality theories are neural systems of threat/trust management and their emotional, cognitive, and behavioral dimensions. In this context, personality may be also conceived as a meta-heuristics both human and non-human organisms apply to model and predict the behavior of others. The paper concludes by suggesting a minimal computational model of personality that may guide future research. Copyright © 2014 Elsevier B.V. All rights reserved.
Gray, Wayne D; Sims, Chris R; Fu, Wai-Tat; Schoelles, Michael J
2006-07-01
Soft constraints hypothesis (SCH) is a rational analysis approach that holds that the mixture of perceptual-motor and cognitive resources allocated for interactive behavior is adjusted based on temporal cost-benefit tradeoffs. Alternative approaches maintain that cognitive resources are in some sense protected or conserved in that greater amounts of perceptual-motor effort will be expended to conserve lesser amounts of cognitive effort. One alternative, the minimum memory hypothesis (MMH), holds that people favor strategies that minimize the use of memory. SCH is compared with MMH across 3 experiments and with predictions of an Ideal Performer Model that uses ACT-R's memory system in a reinforcement learning approach that maximizes expected utility by minimizing time. Model and data support the SCH view of resource allocation; at the under 1000-ms level of analysis, mixtures of cognitive and perceptual-motor resources are adjusted based on their cost-benefit tradeoffs for interactive behavior. ((c) 2006 APA, all rights reserved).
Lee, Tae Wha; Yim, Eunsil; Cho, Eunhee; Chung, Jane
2014-08-01
To examine, in beneficiaries with long-term care (LTC) insurance (LTCI) with dementia in Korea, changes in cognitive function, behavioral symptoms, and physical function over time in relation to LTCI service type and to determine the 2-year effects of service type on those health outcomes. Secondary analyses of the existing LTCI data set from 2008 to 2010. South Korea. LTCI beneficiaries with dementia aged 65 and older (N=31,319). Participants were divided according to the service type that they were receiving home care (HC), institutional care (IC), and combined care (CC). A LTC approval checklist was used to determine the level of LTCI coverage of each participant and to assess cognitive function, behavioral symptoms, and physical function. Linear mixed models and multiple regression models were used. There were significant differences in cognitive function, behavioral symptoms, and physical function at baseline between individuals receiving the three service types (P<.001) and overall improvements in those outcomes over 2 years in the three groups (P<.001). After limiting the sample to those who had received LTCI services for the full 2 years (2008-2010) and adjusting for baseline characteristics, individuals receiving HC were more likely to have better cognitive and physical function than those receiving IC or CC but were likely to have more behavioral symptoms 2 years after the LTCI enrollment (P<.001). LTCI service type (HC, IC, CC) predicted cognitive function, behavioral symptoms, and physical function at 2-year follow-up in beneficiaries with dementia. Further research is necessary to examine the effect of LTC services on health outcomes in a longer observational cohort. © 2014, Copyright the Authors Journal compilation © 2014, The American Geriatrics Society.
ERIC Educational Resources Information Center
Abuhamdieh, Ayman H.; Harder, Joseph T.
2015-01-01
This paper proposes a meta-cognitive, systems-based, information structuring model (McSIS) to systematize online information search behavior based on literature review of information-seeking models. The General Systems Theory's (GST) prepositions serve as its framework. Factors influencing information-seekers, such as the individual learning…
ERIC Educational Resources Information Center
Romer, Daniel; Betancourt, Laura; Giannetta, Joan M.; Brodsky, Nancy L.; Farah, Martha; Hurt, Hallam
2009-01-01
Initiation of drug use and other risky behavior in preadolescence is associated with poor developmental outcomes. In this research, we examine models that ascribe the trajectory to (a) weak executive cognitive function (ECF), (b) early manifestation of externalizing problems, or (c) heightened levels of trait impulsivity. We test the explanatory…
ERIC Educational Resources Information Center
Oumano, Elena
2005-01-01
This study was designed to examine the effectiveness of the "Fear and Loathing of Speaking Out in Public" program. The program, a personal initiative, adapts primary features of the treatment offered by Cognitive Behavioral Therapy (CBT) for clients suffering from fears and phobias. CBT strategies include progressive desensitization, identifying…
ERIC Educational Resources Information Center
Wu, ChienHsing; Liu, Chia-Fang
2015-01-01
Literature has paid limited attention to the preference of instructors to adopt e-teaching/learning system (ET/LS) by considering the cognitive styles. The current study proposes a research model to describe the effects of technology acceptance behavior and innovation diffusion behavior on ET/LS adoption for elementary school instructors. A…
Children with Anxiety Disorders: Use of a Cognitive Behavioral Therapy Model within a Social Milieu
ERIC Educational Resources Information Center
Kearny, Regina; Pawlukewicz, Justine; Guardino, Mary
2014-01-01
Because anxiety is the most common mental health disorder diagnosed in children, early intervention is crucial for fundamental coping. Although cognitive-behavioral therapy (CBT) is the preferred treatment method for this affective disorder, instruction for children needs to be specific for them to successfully acquire and implement essential CBT…
ERIC Educational Resources Information Center
Curry, John F.; Wells, Karen C.
2005-01-01
The Treatment for Adolescents With Depression Study (TADS) was designed to compare the relative and combined effectiveness of cognitive behavior therapy (CBT) and fluoxetine, each of which had demonstrated efficacy in carefully controlled single-site studies. Models of CBT from these efficacy studies served as the foundation for the TADS…
Cognitive-behavioral therapy for persistent pain: does adherence after treatment affect outcome?
Curran, Charlotte; Williams, Amanda C de C; Potts, Henry W W
2009-02-01
It is a tenet of cognitive behavioral treatment of persistent pain problems that ex-patients should adhere to treatment methods over the longer term, in order to maintain and to extend treatment gains. However, no research has quantified the causal influence of adherence on short-term outcome in this field. The aims of this study are to assess determinants of adherence to treatment recommendations in several domains, and to examine the extent to which cognitive and behavioral adherence predicts better outcome of cognitive behavioral treatment for persistent pain. Longitudinal data from a sample of 2345 persistent pain patients who attended a multicomponent treatment programme were subjected to structural equation modeling. Adherence emerged as a mediating factor linking post-treatment and follow-up treatment outcome, but contributed only 3% unique variance to follow-up outcomes. Combined end-of-treatment outcomes and adherence factors accounted for 72% of the variance in outcome at one-month follow-up. Notwithstanding shortcomings in the measurement of adherence, these findings question the emphasis normally given to adherence in the maintenance of behavioral and cognitive change, and clinical implications are discussed.
Levinson, Cheri A; Sala, Margarita; Fewell, Laura; Brosof, Leigh C; Fournier, Lauren; Lenze, Eric J
2018-06-01
Individuals with eating disorders experience high anxiety when eating, which may contribute to the high relapse rates seen in the eating disorders. However, it is unknown if specific cognitions associated with such anxiety (e.g., fears of gaining weight) may lead to engagement in eating disorder behaviors (e.g., weighing oneself). Participants (N = 66) recently treated at a residential eating disorder facility and diagnosed with an eating disorder (primarily anorexia nervosa; n = 40; 60.6%) utilized a mobile application to answer questions about mealtime cognitions, anxiety, and eating disorder behaviors four times a day for one week. Hierarchical linear models using cross-lag analyses identified that there were quasi-causal (and sometimes reciprocal) within-person relationships between specific eating disorder cognitions and subsequent eating disorder behaviors. These cognitions predicted higher anxiety during the next meal and eating disorder pathology at one-month follow-up. Interventions personalized to target these specific cognitions in real time might reduce eating disorder relapse. Copyright © 2018 Elsevier Ltd. All rights reserved.
The past, present, and future of cognitive architectures.
Taatgen, Niels; Anderson, John R
2010-10-01
Cognitive architectures are theories of cognition that try to capture the essential representations and mechanisms that underlie cognition. Research in cognitive architectures has gradually moved from a focus on the functional capabilities of architectures to the ability to model the details of human behavior, and, more recently, brain activity. Although there are many different architectures, they share many identical or similar mechanisms, permitting possible future convergence. In judging the quality of a particular cognitive model, it is pertinent to not just judge its fit to the experimental data but also its simplicity and ability to make predictions. Copyright © 2009 Cognitive Science Society, Inc.
The ASK Model of Peer Tutoring: Theory and Research
1993-07-01
Other educational approaches that define a tutor’s role in this way are the (1) cognitive apprenticeship model, in which "teachers promote learning ...behavioral, cognitive , and sociocognitive literature. Research on microteaching, the Personalized System of Instruction (PSI), cooperative learning ...in a type of " cognitive apprenticeship " (Collins, Brown, & Newman, 1989) where faculty members serve as expert guides and students teach each other
Requirements for psychological models to support design: Towards ecological task analysis
NASA Technical Reports Server (NTRS)
Kirlik, Alex
1991-01-01
Cognitive engineering is largely concerned with creating environmental designs to support skillful and effective human activity. A set of necessary conditions are proposed for psychological models capable of supporting this enterprise. An analysis of the psychological nature of the design product is used to identify a set of constraints that models must meet if they can usefully guide design. It is concluded that cognitive engineering requires models with resources for describing the integrated human-environment system, and that these models must be capable of describing the activities underlying fluent and effective interaction. These features are required in order to be able to predict the cognitive activity that will be required given various design concepts, and to design systems that promote the acquisition of fluent, skilled behavior. These necessary conditions suggest that an ecological approach can provide valuable resources for psychological modeling to support design. Relying heavily on concepts from Brunswik's and Gibson's ecological theories, ecological task analysis is proposed as a framework in which to predict the types of cognitive activity required to achieve productive behavior, and to suggest how interfaces can be manipulated to alleviate certain types of cognitive demands. The framework is described in terms, and illustrated with an example from the previous research on modeling skilled human-environment interaction.
Veksler, Vladislav D.; Buchler, Norbou; Hoffman, Blaine E.; Cassenti, Daniel N.; Sample, Char; Sugrim, Shridat
2018-01-01
Computational models of cognitive processes may be employed in cyber-security tools, experiments, and simulations to address human agency and effective decision-making in keeping computational networks secure. Cognitive modeling can addresses multi-disciplinary cyber-security challenges requiring cross-cutting approaches over the human and computational sciences such as the following: (a) adversarial reasoning and behavioral game theory to predict attacker subjective utilities and decision likelihood distributions, (b) human factors of cyber tools to address human system integration challenges, estimation of defender cognitive states, and opportunities for automation, (c) dynamic simulations involving attacker, defender, and user models to enhance studies of cyber epidemiology and cyber hygiene, and (d) training effectiveness research and training scenarios to address human cyber-security performance, maturation of cyber-security skill sets, and effective decision-making. Models may be initially constructed at the group-level based on mean tendencies of each subject's subgroup, based on known statistics such as specific skill proficiencies, demographic characteristics, and cultural factors. For more precise and accurate predictions, cognitive models may be fine-tuned to each individual attacker, defender, or user profile, and updated over time (based on recorded behavior) via techniques such as model tracing and dynamic parameter fitting. PMID:29867661
Chew, Boon-How; Fernandez, Aaron; Shariff-Ghazali, Sazlina
2018-01-01
Psychological aspects of a person, such as the personal value and belief systems, cognition and emotion, form the basis of human health behaviors, which, in turn, influence self-management, self-efficacy, quality of life, disease control and clinical outcomes in people with chronic diseases such as diabetes mellitus. However, psychological, psychosocial and behavioral interventions aimed at these groups of patients have yielded inconsistent effects in terms of clinical outcomes in clinical trials. This might have been due to differing conceptualization of health behavioral theories and models in the interventions. Assimilating different theories of human behavior, this narrative review attempts to demonstrate the potential modulatory effects of intrinsic values on cognitive and affective health-directed interventions. Interventions that utilize modification of cognition alone via education or that focuses on both cognitive and emotional levels are hardly adequate to initiate health-seeking behavior and much less to sustain them. People who are aware of their own personal values and purpose in life would be more motivated to practice good health-related behavior and persevere in them.
Lent, Robert W; Brown, Steven D
2013-10-01
Social cognitive career theory (SCCT) currently consists of 4 overlapping, segmental models aimed at understanding educational and occupational interest development, choice-making, performance and persistence, and satisfaction/well-being. To this point, the theory has emphasized content aspects of career behavior, for instance, prediction of the types of activities, school subjects, or career fields that form the basis for people's educational/vocational interests and choice paths. However, SCCT may also lend itself to study of many process aspects of career behavior, including such issues as how people manage normative tasks and cope with the myriad challenges involved in career preparation, entry, adjustment, and change, regardless of the specific educational and occupational fields they inhabit. Such a process focus can augment and considerably expand the range of the dependent variables for which SCCT was initially designed. Building on SCCT's existing models, we present a social cognitive model of career self-management and offer examples of the adaptive, process behaviors to which it can be applied (e.g., career decision making/exploration, job searching, career advancement, negotiation of work transitions and multiple roles).
Cognitive behavioral hypnotherapy for dissociative disorders.
Fine, Catherine G
2012-04-01
Dissociative disorders (DD) prevail as sequelae to overwhelming experiences in childhood. These readily formed post-traumatic responses and trance states develop in high hypnotizable subjects whose dysregulations become organized into ego states. A cognitive behavioral hypnotherapeutic treatment model will effectively contain, explore, metabolize, and resolve these life-endangering conditions. This article will detail the cognitive hypnotic world of DD patients, the relational spaces of the ego states, and the triphasic treatment mode to successfully resolve the dissociative pathology. Structured and phase appropriate hypnotic interventions will be described.
Voorhees, Jaymie R; Remy, Matthew T; Cintrón-Pérez, Coral J; El Rassi, Eli; Khan, Michael Z; Dutca, Laura M; Yin, Terry C; McDaniel, Latisha N; Williams, Noelle S; Brat, Daniel J; Pieper, Andrew A
2017-11-06
In addition to cognitive deficits, Alzheimer's disease (AD) is associated with other neuropsychiatric symptoms, including severe depression. Indeed, depression often precedes cognitive deficits in patients with AD. Unfortunately, the field has seen only minimal therapeutic advances, underscoring the critical need for new treatments. P7C3 aminopropyl carbazoles promote neuronal survival by enhancing nicotinamide adenine dinucleotide flux in injured neurons. Neuroprotection with P7C3 compounds has been demonstrated in preclinical models of neurodegeneration by virtue of promoting neuronal survival independently of early disease-specific pathology, resulting in protection from cognitive deficits and depressive-like behavior. We hypothesize that P7C3 compounds might be uniquely applicable to patients with AD, given the comorbid presentation of depression and cognitive deficits. Aging male and female wild-type and TgF344-AD rats, a well-characterized preclinical AD model, were administered (-)-P7C3-S243 daily for 9 and 18 months, beginning at 6 months of age. Behavioral phenotypes related to cognition and depression were assessed at 15 and 24 months, and brain pathology and biochemistry were assessed at 24 months. (-)-P7C3-S243 safely protected aging male and female wild-type and TgF344-AD rats from cognitive deficits and depressive-like behavior. Depressive-like behavior occurred earlier than cognitive deficits in TgF344-AD rats, consistent with AD in many patients. Treatment with (-)-P7C3-S243 blocked neurodegeneration in TgF344-AD rats, without altering amyloid deposition or indicators of neuroinflammation. Neuronal cell death-specific treatment approaches, such as P7C3 compounds, may represent a new treatment approach for patients experiencing the combination of cognitive deficits and depression associated with AD. Published by Elsevier Inc.
Subjective cognitive function in hoarding disorder.
Tolin, David F; Hallion, Lauren S; Wootton, Bethany M; Levy, Hannah C; Billingsley, Amber L; Das, Akanksha; Katz, Benjamin W; Stevens, Michael C
2018-07-01
The aim of the present study was to examine subjective cognitive impairment among adult patients with hoarding disorder (HD). Eighty-three patients with HD and 46 age- and gender-matched healthy control (HC) participants received a diagnostic interview and completed measures of subjective cognitive functioning and motivations for saving behavior, as well as measures of hoarding severity, depression, anxiety, stress, and obsessive-compulsive disorder (OCD) symptoms. The HD group reported more impairment than did the HC group in domains of memory, distractibility, blunders, memory for names, and inattention. These differences generally remained significant when controlling for comorbid symptoms. In the HD group, the degree of cognitive impairment was significantly correlated with severity of saving and acquiring behaviors, although results were attenuated when controlling for comorbid symptoms (overall HD severity, but not saving behavior specifically, remained significantly correlated with cognitive impairment). Subjective cognitive impairment was further associated with a desire to save possessions in order to avoid forgetting, and these results remained significant when controlling for comorbid symptoms. These results comport with current behavioral models of HD that emphasize decision-making deficits, as well as clinician observations suggestive of impaired cognitive function, and complement a growing body of neuropsychological testing studies. Copyright © 2018. Published by Elsevier B.V.
A Neurobehavioral Model of Flexible Spatial Language Behaviors
Lipinski, John; Schneegans, Sebastian; Sandamirskaya, Yulia; Spencer, John P.; Schöner, Gregor
2012-01-01
We propose a neural dynamic model that specifies how low-level visual processes can be integrated with higher level cognition to achieve flexible spatial language behaviors. This model uses real-word visual input that is linked to relational spatial descriptions through a neural mechanism for reference frame transformations. We demonstrate that the system can extract spatial relations from visual scenes, select items based on relational spatial descriptions, and perform reference object selection in a single unified architecture. We further show that the performance of the system is consistent with behavioral data in humans by simulating results from 2 independent empirical studies, 1 spatial term rating task and 1 study of reference object selection behavior. The architecture we present thereby achieves a high degree of task flexibility under realistic stimulus conditions. At the same time, it also provides a detailed neural grounding for complex behavioral and cognitive processes. PMID:21517224
Life Space Crisis Intervention and Functional Behavioral Assessment: The Guiding Models.
ERIC Educational Resources Information Center
McGowan, Lawrence P.
2002-01-01
The Conflict Cycle employed in Life Space Crisis Intervention offers a model for conducting functional assessment with students facing disciplinary action for behavior that may be related to emotional disturbance and other disabilities. This article analyzes the Conflict Cycle, using principles from cognitive behavioral science. (Contains 13…
The neuronal dynamics underlying cognitive flexibility in set shifting tasks.
Stemme, Anja; Deco, Gustavo; Busch, Astrid
2007-12-01
The ability to switch attention from one aspect of an object to another or in other words to switch the "attentional set" as investigated in tasks like the "Wisconsin Card Sorting Test" is commonly referred to as cognitive flexibility. In this work we present a biophysically detailed neurodynamical model which illustrates the neuronal base of the processes related to this cognitive flexibility. For this purpose we conducted behavioral experiments which allow the combined evaluation of different aspects of set shifting tasks: uninstructed set shifts as investigated in Wisconsin-like tasks, effects of stimulus congruency as investigated in Stroop-like tasks and the contribution of working memory as investigated in "Delayed-Match-to-Sample" tasks. The work describes how general experimental findings are usable to design the architecture of a biophysical detailed though minimalistic model with a high orientation on neurobiological findings and how, in turn, the simulations support experimental investigations. The resulting model is able to account for experimental and individual response times and error rates and enables the switch of attention as a system inherent model feature: The switching process suggested by the model is based on the memorization of the visual stimuli and does not require any synaptic learning. The operation of the model thus demonstrates with at least a high probability the neuronal dynamics underlying a key component of human behavior: the ability to adapt behavior according to context requirements--cognitive flexibility.
Collins, Michael G.; Juvina, Ion; Gluck, Kevin A.
2016-01-01
When playing games of strategic interaction, such as iterated Prisoner's Dilemma and iterated Chicken Game, people exhibit specific within-game learning (e.g., learning a game's optimal outcome) as well as transfer of learning between games (e.g., a game's optimal outcome occurring at a higher proportion when played after another game). The reciprocal trust players develop during the first game is thought to mediate transfer of learning effects. Recently, a computational cognitive model using a novel trust mechanism has been shown to account for human behavior in both games, including the transfer between games. We present the results of a study in which we evaluate the model's a priori predictions of human learning and transfer in 16 different conditions. The model's predictive validity is compared against five model variants that lacked a trust mechanism. The results suggest that a trust mechanism is necessary to explain human behavior across multiple conditions, even when a human plays against a non-human agent. The addition of a trust mechanism to the other learning mechanisms within the cognitive architecture, such as sequence learning, instance-based learning, and utility learning, leads to better prediction of the empirical data. It is argued that computational cognitive modeling is a useful tool for studying trust development, calibration, and repair. PMID:26903892
Cognitive Modeling of Social Behaviors
NASA Technical Reports Server (NTRS)
Clancey, William J.; Sierhuis, Maarten; Damer. Bruce; Brodsky, Boris
2004-01-01
The driving theme of cognitive modeling for many decades has been that knowledge affects how and which goals are accomplished by an intelligent being (Newell 1991). But when one examines groups of people living and working together, one is forced to recognize that whose knowledge is called into play, at a particular time and location, directly affects what the group accomplishes. Indeed, constraints on participation, including roles, procedures, and norms, affect whether an individual is able to act at all (Lave & Wenger 1991; Jordan 1992; Scribner & Sachs 1991). To understand both individual cognition and collective activity, perhaps the greatest opportunity today is to integrate the cognitive modeling approach (which stresses how beliefs are formed and drive behavior) with social studies (which stress how relationships and informal practices drive behavior). The crucial insight is that norms are conceptualized in the individual &nd as ways of carrying out activities (Clancey 1997a, 2002b). This requires for the psychologist a shift from only modeling goals and tasks - why people do what they do - to modeling behavioral patterns-what people do-as they are engaged in purposeful activities. Instead of a model that exclusively deduces actions from goals, behaviors are also, if not primarily, driven by broader patterns of chronological and located activities (akin to scripts). This analysis is particular inspired by activity theory (Leont ev 1979). While acknowledging that knowledge (relating goals and operations) is fundamental for intelligent behavior, activity theory claims that a broader driver is the person s motives and conceptualization of activities. Such understanding of human interaction is normative (i.e., viewed with respect to social standards), affecting how knowledge is called into play and applied in practice. Put another way, how problems are discovered and framed, what methods are chosen, and indeed who even cares or has the authority to act, are all constrained by norms, which are conceived and enacted by individuals.
Bogg, Tim; Finn, Peter R.
2011-01-01
Two samples with heterogeneous prevalence of externalizing psychopathology were used to investigate the structure of self-regulatory models of behavioral disinhibition and cognitive capacity. Consistent with expectations, structural equation modeling in the first sample (N = 541) showed a hierarchical model with three lower-order factors of impulsive sensation-seeking, anti-sociality/unconventionality, and lifetime externalizing problem counts, with a behavioral disinhibition superfactor best accounted for the pattern of covariation among six disinhibited personality trait indicators and four externalizing problem indicators. The structure was replicated in a second sample (N = 463) and showed that the behavioral disinhibition superfactor, and not the lower-order impulsive sensation-seeking, anti-sociality/unconventionality, and externalizing problem factors, was associated with lower IQ, reduced short-term memory capacity, and reduced working memory capacity. The results provide a systemic and meaningful integration of major self-regulatory influences during a developmentally important stage of life. PMID:20433626
Zuckerman, Amitai; Ram, Omri; Ifergane, Gal; Matar, Michael A; Sagi, Ram; Ostfeld, Ishay; Hoffman, Jay R; Kaplan, Zeev; Sadot, Oren; Cohen, Hagit
2017-01-01
The intense focus in the clinical literature on the mental and neurocognitive sequelae of explosive blast-wave exposure, especially when comorbid with post-traumatic stress-related disorders (PTSD) is justified, and warrants the design of translationally valid animal studies to provide valid complementary basic data. We employed a controlled experimental blast-wave paradigm in which unanesthetized animals were exposed to visual, auditory, olfactory, and tactile effects of an explosive blast-wave produced by exploding a thin copper wire. By combining cognitive-behavioral paradigms and ex vivo brain MRI to assess mild traumatic brain injury (mTBI) phenotype with a validated behavioral model for PTSD, complemented by morphological assessments, this study sought to examine our ability to evaluate the biobehavioral effects of low-intensity blast overpressure on rats, in a translationally valid manner. There were no significant differences between blast- and sham-exposed rats on motor coordination and strength, or sensory function. Whereas most male rats exposed to the blast-wave displayed normal behavioral and cognitive responses, 23.6% of the rats displayed a significant retardation of spatial learning acquisition, fulfilling criteria for mTBI-like responses. In addition, 5.4% of the blast-exposed animals displayed an extreme response in the behavioral tasks used to define PTSD-like criteria, whereas 10.9% of the rats developed both long-lasting and progressively worsening behavioral and cognitive "symptoms," suggesting comorbid PTSD-mTBI-like behavioral and cognitive response patterns. Neither group displayed changes on MRI. Exposure to experimental blast-wave elicited distinct behavioral and morphological responses modelling mTBI-like, PTSD-like, and comorbid mTBI-PTSD-like responses. This experimental animal model can be a useful tool for elucidating neurobiological mechanisms underlying the effects of blast-wave-induced mTBI and PTSD and comorbid mTBI-PTSD.
Olson, Erin A; Mullen, Sean P; Raine, Lauren B; Kramer, Arthur F; Hillman, Charles H; McAuley, Edward
2017-04-01
Despite the proven benefits of physical activity to treat and prevent metabolic diseases, such as diabetes (T2D) and metabolic syndrome (MetS), most individuals with metabolic disease do not meet physical activity (PA) recommendations. PA is a complex behavior requiring substantial motivational and cognitive resources. The purpose of this study was to examine social cognitive and neuropsychological determinants of PA behavior in older adults with T2D and MetS. The hypothesized model theorized that baseline self-regulatory strategy use and cognitive function would indirectly influence PA through self-efficacy. Older adults with T2D or MetS (M age = 61.8 ± 6.4) completed either an 8-week physical activity intervention (n = 58) or an online metabolic health education course (n = 58) and a follow-up at 6 months. Measures included cognitive function, self-efficacy, self-regulatory strategy use, and PA. The data partially supported the hypothesized model (χ 2 = 158.535(131), p > .05, comparative fit index = .96, root mean square error of approximation = .04, standardized root mean square residual = .06) with self-regulatory strategy use directly predicting self-efficacy (β = .33, p < .05), which in turn predicted PA (β = .21, p < .05). Performance on various cognitive function tasks predicted PA directly and indirectly via self-efficacy. Baseline physical activity (β = .62, p < .01) and intervention group assignment via self-efficacy (β = -.20, p < .05) predicted follow-up PA. The model accounted for 54.4 % of the variance in PA at month 6. Findings partially support the hypothesized model and indicate that select cognitive functions (i.e., working memory, inhibition, attention, and task-switching) predicted PA behavior 6 months later. Future research warrants the development of interventions targeting cognitive function, self-regulatory skill development, and self-efficacy enhancement. The trial was registered with the clinical trial number NCT01790724.
Five Faces of Cognition: Theoretical Influences on Approaches to Learning Disabilities.
ERIC Educational Resources Information Center
Hresko, Wayne P.; Reid, D. Kim
1988-01-01
The article points out that the label "cognitive" has been used to designate five substantially different approaches to learning disabilities: information processing, metacognition, genetic epistemology, cognitive behavior modification, and the specific-abilities model. Despite the similar label, the instructional interventions of these approaches…
Porter, Christin L
2009-04-01
Research on children's social-cognitive play typologies (i.e., active and passive forms of solitary and social play) suggests links of early play behaviors and later social development and risk status. To date, few studies have examined simultaneously suspected links between children's social-cognitive play types and factors believed to shape these early social-play behaviors. This study examined a simultaneous model of individual (temperament, physiology) and relational variables (attachment, peer networks) believed to influence children's social-cognitive play types, including individual characteristics drawn from the Child Behavior Questionnaire which measures dimensions of shyness and impulsivity, a lab-based assessment of social withdrawal, and physiological markers linked to social regulation (cardiac vagal tone and vagal regulation). Children's attachment status to parents was gathered using Q-Sort methodology, and a measure of previous peer network size was obtained from parents' reports to examine potential links between relational history and social-cognitive play types. Predictive discriminant function analysis showed that children's (N = 54, age range 35 to 58 months) social-cognitive play was better predicted on the basis of multiple independent variables than individual, zero-order relations. When predicting children's social-cognitive play typologies, a multidimensional view which encompasses both individual characteristics and social-relational variables may best predict social -cognitive play types and help understanding of children's social trajectories.
Denis, Isabelle; Guay, Marie-Claude; Foldes-Busque, Guillaume; BenAmor, Leila
2016-06-01
Twenty-five percent of children with ADHD also have an anxiety disorder (AD). As per Quay and in light of Barkley's model, anxiety may have a protective effect on cognitive deficits and behaviors associated with ADHD. This study aimed to evaluate the effect of treating AD on cognitive deficits and behaviors associated with ADHD in children with both disorders. Twenty-four children with ADHD and AD were divided into two groups: treatment for AD, and wait list. Participants were assessed at pre-treatment, post-treatment, and 6-month follow-up with the ADIS-C, the CBCL, and neuropsychological measures. The results revealed a significant improvement in automatic response inhibition and flexibility, and a decrease in inattention/hyperactivity behaviors following the treatment for AD. No significant differences were observed in motor response inhibition, working memory, or attention deficits. The results do not seem to support Quay's hypothesis: treating AD did not exacerbate cognitive deficits and behaviors associated with ADHD in our sample.
Neighbors, Clayton; Walker, Denise D; Mbilinyi, Lyungai F; Zegree, Joan; Foster, Dawn W; Roffman, Roger A
2013-02-01
The present research was designed to evaluate self-determination theory as a framework for integrating factors associated with intimate partner violence (IPV) perpetration. The proposed model suggests that childhood exposure to parental violence may influence global motivational orientations which, in turn result in greater cognitive biases (overestimating the prevalence of IPV and justification of IPV) which, in turn, contribute to an individual's decision to use abusive behavior. Participants included 124 men who had engaged in abusive behavior toward an intimate partner. Results provided reasonable support for the proposed model and stronger support for a revised model suggesting that controlled orientation, rather than autonomy orientation, appears to play a stronger role in the association between childhood exposure to parental violence and cognitive biases associated with abusive behavior.
Traffic-related air pollution and brain development.
Woodward, Nicholas; Finch, Caleb E; Morgan, Todd E
Automotive traffic-related air pollution (TRP) imposes an increasing health burden with global urbanization. Gestational and early child exposure to urban TRP is associated with higher risk of autism spectrum disorders and schizophrenia, as well as low birth weight. While cardio-respiratory effects from exposure are well documented, cognitive effects are only recently becoming widely recognized. This review discusses effects of TRP on brain and cognition in human and animal studies. The mechanisms underlying these epidemiological associations are studied with rodent models of pre- and neonatal exposure to TRP, which show persisting inflammatory changes and altered adult behaviors and cognition. Some behavioral and inflammatory changes show male bias. Rodent models may identify dietary and other interventions for neuroprotection to TRP.
ERIC Educational Resources Information Center
Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome
2010-01-01
Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…
ERIC Educational Resources Information Center
Warkentien, Michael
2016-01-01
The purpose of this non-experimental study was to determine whether teacher cognitive and behavioral agility relates to student achievement as measured by their value-added model (VAM) score and their performance evaluation measured through the Marzano instructional practice (IP) framework, and whether that relationship is moderated by contextual…
ERIC Educational Resources Information Center
Guerra, Norma S.; Hernandez, Art; Hector, Alison M.; Crosby, Shane
2015-01-01
Special education teacher attrition rates continue to challenge the profession. A cognitive-behavioral problem-solving approach was used to examine three alternative certification program special education teachers' professional development through a series of 41 interviews conducted over a 2-year period. Beginning when they were novice special…
ERIC Educational Resources Information Center
Sburlati, Elizabeth S.; Schniering, Carolyn A.; Lyneham, Heidi J.; Rapee, Ronald M.
2011-01-01
While a plethora of cognitive behavioral empirically supported treatments (ESTs) are available for treating child and adolescent anxiety and depressive disorders, research has shown that these are not as effective when implemented in routine practice settings. Research is now indicating that is partly due to ineffective EST training methods,…
ERIC Educational Resources Information Center
Newman, Michelle G.; Castonguay, Louis G.; Borkovec, Thomas D.; Fisher, Aaron J.; Boswell, James F.; Szkodny, Lauren E.; Nordberg, Samuel S.
2011-01-01
Objective: Recent models suggest that generalized anxiety disorder (GAD) symptoms may be maintained by emotional processing avoidance and interpersonal problems. Method: This is the first randomized controlled trial to test directly whether cognitive-behavioral therapy (CBT) could be augmented with the addition of a module targeting interpersonal…
Ji, Mu-Huo; Jia, Min; Zhang, Ming-Qiang; Liu, Wen-Xue; Xie, Zhong-Cong; Wang, Zhong-Yun; Yang, Jian-Jun
2014-10-03
Post-traumatic stress disorder (PTSD) is a psychiatric disease that has substantial health implications, including high rates of health morbidity and mortality, as well as increased health-related costs. Although many pharmacological agents have proven the effects on the development of PTSD, current pharmacotherapies typically only produce partial improvement of PTSD symptoms. Dexmedetomidine is a selective, short-acting α2-adrenoceptor agonist, which has anxiolytic, sedative, and analgesic effects. We therefore hypothesized that dexmedetomidine possesses the ability to prevent the development of PTSD and alleviate its symptoms. By using the rat model of PTSD induced by five electric foot shocks followed by three weekly exposures to situational reminders, we showed that the stressed rats displayed pronounced anxiety-like behaviors and cognitive impairments compared to the controls. Notably, repeated administration of 20μg/kg dexmedetomidine showed impaired fear conditioning memory, decreased anxiety-like behaviors, and improved spatial cognitive impairments compared to the vehicle-treated stressed rats. These data suggest that dexmedetomidine may exert preventive and protective effects against anxiety-like behaviors and cognitive impairments in the rats with PTSD after repeated administration. Copyright © 2014 Elsevier Inc. All rights reserved.
Metacognitive Control of Categorial Neurobehavioral Decision Systems
Foxall, Gordon R.
2016-01-01
The competing neuro-behavioral decision systems (CNDS) model proposes that the degree to which an individual discounts the future is a function of the relative hyperactivity of an impulsive system based on the limbic and paralimbic brain regions and the relative hypoactivity of an executive system based in prefrontal cortex (PFC). The model depicts the relationship between these categorial systems in terms of the antipodal neurophysiological, behavioral, and decision (cognitive) functions that engender normal and addictive responding. However, a case may be made for construing several components of the impulsive and executive systems depicted in the model as categories (elements) of additional systems that are concerned with the metacognitive control of behavior. Hence, this paper proposes a category-based structure for understanding the effects on behavior of CNDS, which includes not only the impulsive and executive systems of the basic model but a superordinate level of reflective or rational decision-making. Following recent developments in the modeling of cognitive control which contrasts Type 1 (rapid, autonomous, parallel) processing with Type 2 (slower, computationally demanding, sequential) processing, the proposed model incorporates an arena in which the potentially conflicting imperatives of impulsive and executive systems are examined and from which a more appropriate behavioral response than impulsive choice emerges. This configuration suggests a forum in which the interaction of picoeconomic interests, which provide a cognitive dimension for CNDS, can be conceptualized. This proposition is examined in light of the resolution of conflict by means of bundling. PMID:26925004
COREBA (cognition-oriented emergent behavior architecture)
NASA Astrophysics Data System (ADS)
Kwak, S. David
2000-06-01
Currently, many behavior implementation technologies are available for modeling human behaviors in Department of Defense (DOD) computerized systems. However, it is commonly known that any single currently adopted behavior implementation technology is not so capable of fully representing complex and dynamic human decision-making and cognition behaviors. The author views that the current situation can be greatly improved if multiple technologies are integrated within a well designed overarching architecture that amplifies the merits of each of the participating technologies while suppressing the limitations that are inherent with each of the technologies. COREBA uses an overarching behavior integration architecture that makes the multiple implementation technologies cooperate in a homogeneous environment while collectively transcending the limitations associated with the individual implementation technologies. Specifically, COREBA synergistically integrates Artificial Intelligence and Complex Adaptive System under Rational Behavior Model multi-level multi- paradigm behavior architecture. This paper will describe applicability of COREBA in DOD domain, behavioral capabilities and characteristics of COREBA and how the COREBA architectural integrates various behavior implementation technologies.
Enhancing S4 with Guidance from the Features of Other Behavior Modeling Systems
2010-11-01
recommendations for updating S4 into a more realistic system for modeling human cognition. We focus on three areas of cognition: perception , memory, and...Research Integration Tool (IMPRINT) .........................6 4. Improving the Cognitive Mechanisms of S4 7 4.1 Perception , Memory and Decision...Making in S4 ...........................................................7 4.2 Possible Improvements for Perception in S4
Investigating the Link Between Radiologists Gaze, Diagnostic Decision, and Image Content
DOE Office of Scientific and Technical Information (OSTI.GOV)
Tourassi, Georgia; Voisin, Sophie; Paquit, Vincent C
2013-01-01
Objective: To investigate machine learning for linking image content, human perception, cognition, and error in the diagnostic interpretation of mammograms. Methods: Gaze data and diagnostic decisions were collected from six radiologists who reviewed 20 screening mammograms while wearing a head-mounted eye-tracker. Texture analysis was performed in mammographic regions that attracted radiologists attention and in all abnormal regions. Machine learning algorithms were investigated to develop predictive models that link: (i) image content with gaze, (ii) image content and gaze with cognition, and (iii) image content, gaze, and cognition with diagnostic error. Both group-based and individualized models were explored. Results: By poolingmore » the data from all radiologists machine learning produced highly accurate predictive models linking image content, gaze, cognition, and error. Merging radiologists gaze metrics and cognitive opinions with computer-extracted image features identified 59% of the radiologists diagnostic errors while confirming 96.2% of their correct diagnoses. The radiologists individual errors could be adequately predicted by modeling the behavior of their peers. However, personalized tuning appears to be beneficial in many cases to capture more accurately individual behavior. Conclusions: Machine learning algorithms combining image features with radiologists gaze data and diagnostic decisions can be effectively developed to recognize cognitive and perceptual errors associated with the diagnostic interpretation of mammograms.« less
Dopamine and the Development of Executive Dysfunction in Autism Spectrum Disorders
Kriete, Trenton; Noelle, David C.
2015-01-01
Persons with autism regularly exhibit executive dysfunction (ED), including problems with deliberate goal-directed behavior, planning, and flexible responding in changing environments. Indeed, this array of deficits is sufficiently prominent to have prompted a theory that executive dysfunction is at the heart of these disorders. A more detailed examination of these behaviors reveals, however, that some aspects of executive function remain developmentaly appropriate. In particular, while people with autism often have difficulty with tasks requiring cognitive flexibility, their fundamental cognitive control capabilities, such as those involved in inhibiting an inappropriate but relatively automatic response, show no significant impairment on many tasks. In this article, an existing computational model of the prefrontal cortex and its role in executive control is shown to explain this dichotomous pattern of behavior by positing abnormalities in the dopamine-based modulation of frontal systems in individuals with autism. This model offers excellent qualitative and quantitative fits to performance on standard tests of cognitive control and cognitive flexibility in this clinical population. By simulating the development of the prefrontal cortex, the computational model also offers a potential explanation for an observed lack of executive dysfunction early in life. PMID:25811610
Dopamine and the development of executive dysfunction in autism spectrum disorders.
Kriete, Trenton; Noelle, David C
2015-01-01
Persons with autism regularly exhibit executive dysfunction (ED), including problems with deliberate goal-directed behavior, planning, and flexible responding in changing environments. Indeed, this array of deficits is sufficiently prominent to have prompted a theory that executive dysfunction is at the heart of these disorders. A more detailed examination of these behaviors reveals, however, that some aspects of executive function remain developmentaly appropriate. In particular, while people with autism often have difficulty with tasks requiring cognitive flexibility, their fundamental cognitive control capabilities, such as those involved in inhibiting an inappropriate but relatively automatic response, show no significant impairment on many tasks. In this article, an existing computational model of the prefrontal cortex and its role in executive control is shown to explain this dichotomous pattern of behavior by positing abnormalities in the dopamine-based modulation of frontal systems in individuals with autism. This model offers excellent qualitative and quantitative fits to performance on standard tests of cognitive control and cognitive flexibility in this clinical population. By simulating the development of the prefrontal cortex, the computational model also offers a potential explanation for an observed lack of executive dysfunction early in life.
Cognitive underpinnings of nationalistic ideology in the context of Brexit.
Zmigrod, Leor; Rentfrow, Peter J; Robbins, Trevor W
2018-05-08
Nationalistic identities often play an influential role in citizens' voting behavior and political engagement. Nationalistic ideologies tend to have firm categories and rules for what belongs to and represents the national culture. In a sample of 332 UK citizens, we tested whether strict categorization of stimuli and rules in objective cognitive tasks would be evident in strongly nationalistic individuals. Using voting behavior and attitudes from the United Kingdom's 2016 EU referendum, we found that a flexible representation of national identity and culture was linked to cognitive flexibility in the ideologically neutral Wisconsin Card Sorting Test and Remote Associates Test, and to self-reported flexibility under uncertainty. Path analysis revealed that subjective and objective cognitive inflexibility predicted heightened authoritarianism, nationalism, conservatism, and system justification, and these in turn were predictive of support for Brexit and opposition to immigration, the European Union, and free movement of labor. This model accounted for 47.6% of the variance in support for Brexit. Path analysis models were also predictive of participants' sense of personal attachment to the United Kingdom, signifying that individual differences in cognitive flexibility may contribute toward ideological thinking styles that shape both nationalistic attitudes and personal sense of nationalistic identity. These findings further suggest that emotionally neutral "cold" cognitive information processing-and not just "hot" emotional cognition-may play a key role in ideological behavior and identity.
King, Anna Lucia Spear; Valença, Alexandre Martins; de Melo-Neto, Valfrido Leão; Freire, Rafael Christophe; Mezzasalma, Marco André; Silva, Adriana Cardoso de Oliveira e; Nardi, Antonio Egidio
2011-01-01
Cognitive-behavioral therapy is frequently indicated for panic disorder. The aim here was to evaluate the efficacy of a model for cognitive-behavioral therapy for treating panic disorder with agoraphobia. Randomized clinical trial at Instituto de Psiquiatria da Universidade Federal do Rio de Janeiro. A group of 50 patients with a diagnosis of panic disorder with agoraphobia was randomized into two groups to receive: a) cognitive-behavioral therapy with medication; or b) medication (tricyclic antidepressants or selective serotonin reuptake inhibitors). Although there was no difference between the groups after the treatment in relation to almost all variables with the exception of some items of the Sheehan disability scale and the psychosocial and environmental problems scale, the patients who received the specific therapy presented significant reductions in panic attacks, anticipatory anxiety, agoraphobia avoidance and fear of body sensations at the end of the study, in relation to the group without the therapy. On the overall functioning assessment scale, overall wellbeing increased from 60.8% to 72.5% among the patients in the group with therapy, thus differing from the group without therapy. Although both groups responded to the treatment and improved, we only observed significant differences between the interventions on some scales. The association between specific cognitive-behavioral therapy focusing on somatic complaints and pharmacological treatment was effective among this sample of patients with panic disorder and the response was similar in the group with pharmacological treatment alone.
The "Chaos" Pattern in Piaget's Theory of Cognitive Development.
ERIC Educational Resources Information Center
Lindsay, Jean S.
Piaget's theory of the cognitive development of the child is related to the recently developed non-linear "chaos" model. The term "chaos" refers to the tendency of dynamical, non-linear systems toward irregular, sometimes unpredictable, deterministic behavior. Piaget identified this same pattern in his model of cognitive…
A Delineation of Epistemic Possibilities in Explanations of Cognitive Development.
ERIC Educational Resources Information Center
Price, Reese E.
Several epistemic formulations have been advanced to explain cognitive development. Many writers have divided the field of psychology into three basic underlying models: the mechanistic, organismic, and dialectic models. An examination of epistemic positions reveals five broadly defined positions on how behavior develops within a given organism.…
ERIC Educational Resources Information Center
Pape, Stephen J.
2004-01-01
Many children read mathematics word problems and directly translate them to arithmetic operations. More sophisticated problem solvers transform word problems into object-based or mental models. Subsequent solutions are often qualitatively different because these models differentially support cognitive processing. Based on a conception of problem…
Kofler, Michael J; Larsen, Ross; Sarver, Dustin E; Tolan, Patrick H
2015-11-01
Middle school is a critical yet understudied period of social behavioral risks and opportunities that may be particularly difficult for emerging adolescents with attention-deficit/hyperactivity disorder (ADHD) given their childhood social difficulties. Relatively few ADHD studies have examined social behavior and social-cognitive problem solving beyond the elementary years, or examined aspects of positive (prosocial) behavior. The current study examined how middle school students with clinically elevated ADHD symptoms differ from their non-ADHD peers on baseline (6th grade) and age-related changes in prosocial and aggressive behavior, and the extent to which social-cognitive problem solving strategies mediate these relations. Emerging adolescents with (n = 178) and without (n = 3,806) clinically elevated, teacher-reported ADHD-combined symptoms were compared longitudinally across 6th through 8th grades using parallel process latent growth curve modeling, accounting for student demographic characteristics, oppositional-defiant disorder (ODD) symptoms, deviant peer association, school climate, and parental monitoring. Sixth graders with elevated ADHD symptoms engaged in somewhat fewer prosocial behaviors (d = -0.44) and more aggressive behavior (d = 0.20) relative to their peers. These small social behavioral deficits decreased but were not normalized across the middle school years. Contrary to hypotheses, social-cognitive problem solving was not impaired in the ADHD group after accounting for co-occurring ODD symptoms and did not mediate the association between ADHD and social behavior during the middle school years. ADHD and social-cognitive problem solving contributed independently to social behavior, both in 6th grade and across the middle school years; the influence of social-cognitive problem solving on social behavior was highly similar for the ADHD and non-ADHD groups. (c) 2015 APA, all rights reserved).
Impact of anxiety on prefrontal cortex encoding of cognitive flexibility
Park, Junchol; Moghaddam, Bita
2016-01-01
Anxiety often is studied as a stand-alone construct in laboratory models. But in the context of coping with real-life anxiety, its negative impacts extend beyond aversive feelings and involve disruptions in ongoing goal-directed behaviors and cognitive functioning. Critical examples of cognitive constructs affected by anxiety are cognitive flexibility and decision making. In particular, anxiety impedes the ability to shift flexibly between strategies in response to changes in task demands, as well as the ability to maintain a strategy in the presence of distractors. The brain region most critically involved in behavioral flexibility is the prefrontal cortex (PFC), but little is known about how anxiety impacts PFC encoding of internal and external events that are critical for flexible behavior. Here we review animal and human neurophysiological and neuroimaging studies implicating PFC neural processing in anxiety-induced deficits in cognitive flexibility. We then suggest experimental and analytical approaches for future studies to gain a better mechanistic understanding of impaired cognitive inflexibility in anxiety and related disorders. PMID:27316551
Alliance ruptures and rupture resolution in cognitive-behavior therapy: a preliminary task analysis.
Aspland, Helen; Llewelyn, Susan; Hardy, Gillian E; Barkham, Michael; Stiles, William
2008-11-01
An initial ideal, rational model of alliance rupture and rupture resolution provided by cognitive-behavioral therapy (CBT) experts was assessed and compared with empirical observations of ruptures and their resolution in two cases of successful CBT. The initial rational model emphasized nondefensive acknowledgment and exploration of the rupture. Results indicated differences between what therapists think they should do to resolve ruptures and what they actually do and suggested that the rational model should be expanded to emphasize client validation and empowerment. Therapists' ability to attend to ruptures emerged as an important clinical skill.
Rivera, Daniela S; Inestrosa, Nibaldo C; Bozinovic, Francisco
2016-02-20
Cognitive ecologist posits that the more efficiently an animal uses information from the biotic and abiotic environment, the more adaptive are its cognitive abilities. Nevertheless, this approach does not test for natural neurodegenerative processes under field or experimental conditions, which may recover animals information processing and decision making and may explain, mechanistically, maladaptive behaviors. Here, we call for integrative approaches to explain the relationship between ultimate and proximate mechanisms behind social behavior. We highlight the importance of using the endemic caviomorph rodent Octodon degus as a valuable natural model for mechanistic studies of social behavior and to explain how physical environments can shape social experiences that might influence impaired cognitive abilities and the onset and progression of neurodegenerative disorders such as Alzheimer disease. We consequently suggest neuroecological approaches to examine how key elements of the environment may affect neural and cognitive mechanisms associated with learning, memory processes and brain structures involved in social behavior. We propose the following three core objectives of a program comprising interdisciplinary research in O. degus, namely: (1) to determine whether diet types provided after weaning can lead to cognitive impairment associated with spatial memory, learning and predisposing to develop Alzheimer disease in younger ages; (2) to examine if early life social experience has long term effects on behavior and cognitive responses and risk for development Alzheimer disease in later life and (3) To determine if an increase of social interactions in adult degu reared in different degree of social stressful conditions alter their behavior and cognitive responses.
Kanani, Safieh; Allahverdipour, Hamid; AsghariJafarabadi, Mohammad
2015-01-01
The Behavioral Intention Model is one of the best and most widely models used regarding attitude of behavioral of pregnancy and decrease the rate of cesarean section (CS) among pregnant women, except effect of attitude and subjective norms on behavioral intention. Two variables of self-efficacy, and outcome expectation, relate to individual's behavior in an upcoming situation, and both of them are important at the development of behavior. The purpose of the present study was to develop a model to explain women's inten-tion to choose natural vaginal delivery (NVD). The variables of self-efficacy and outcome expectations, derived from Bandura's Social Cognitive Theory, and Behavioral Intention Model constructs were used to define the model. The study was descriptive and cross-sectional in nature and took place in Pars Abad, Iran in 2014. The non-probability sample consisted of 200 pregnant women who voluntarily participated in the study and provided the data. SPSS 21 and MPLUS 6.8 were employed to analyze the data. Self-efficacy, outcome expectations, and attitude toward NVD were associated with intention to choose the NVD. The study findings may play a role in designing educational interventions aimed at influencing the NVD and improving childbirth programs.
He, Jue; Kong, Jiming
2009-01-01
Antipsychotic drugs are divided into two groups: typical and atypical. Recent clinical studies show atypical antipsychotics have advantages over typical antipsychotics in a wide variety of neuropsychiatric conditions, in terms of greater efficacy for positive and negative symptoms, beneficial effects on cognitive functioning, and fewer extra pyramidal side effects in treating schizophrenia. As such, atypical antipsychotics may be effective in the treatment of depressive symptoms associated with psychotic and mood disorders, posttraumatic stress disorder and psychosis in Alzheimer disease. In this paper, we describe the effects and potential neurochemical mechanisms of action of atypical antipsychotics in several animal models showing memory impairments and/or non-cognitive behavioral changes. The data provide new insights into the mechanisms of action of atypical antipsychotics that may broaden their clinical applications. PMID:19372744
Multidimensional model of apathy in older adults using partial least squares--path modeling.
Raffard, Stéphane; Bortolon, Catherine; Burca, Marianna; Gely-Nargeot, Marie-Christine; Capdevielle, Delphine
2016-06-01
Apathy defined as a mental state characterized by a lack of goal-directed behavior is prevalent and associated with poor functioning in older adults. The main objective of this study was to identify factors contributing to the distinct dimensions of apathy (cognitive, emotional, and behavioral) in older adults without dementia. One hundred and fifty participants (mean age, 80.42) completed self-rated questionnaires assessing apathy, emotional distress, anticipatory pleasure, motivational systems, physical functioning, quality of life, and cognitive functioning. Data were analyzed using partial least squares variance-based structural equation modeling in order to examine factors contributing to the three different dimensions of apathy in our sample. Overall, the different facets of apathy were associated with cognitive functioning, anticipatory pleasure, sensitivity to reward, and physical functioning, but the contribution of these different factors to the three dimensions of apathy differed significantly. More specifically, the impact of anticipatory pleasure and physical functioning was stronger for the cognitive than for emotional apathy. Conversely, the impact of sensibility to reward, although small, was slightly stronger on emotional apathy. Regarding behavioral apathy, again we found similar latent variables except for the cognitive functioning whose impact was not statistically significant. Our results highlight the need to take into account various mechanisms involved in the different facets of apathy in older adults without dementia, including not only cognitive factors but also motivational variables and aspects related to physical disability. Clinical implications are discussed.
A contextual approach to research on AIDS prevention
Wulfert, Edelgard; Biglan, Anthony
1994-01-01
The acquired immune deficiency syndrome (AIDS) is a disease that is transmitted almost entirely through behavioral factors. In the absence of a cure or vaccine, the modification of AIDS-risk behavior presents a unique challenge to behavioral scientists and should be taken as a clear imperative by behavior analysts. This paper discusses the currently dominant social-cognitive theories (the health belief model, the theory of reasoned action, and self-efficacy theory) that have been widely used to predict and understand AIDS-risk behavior. Although these theories have generated a voluminous literature on the cognitive, attitudinal, and demographic correlates of AIDS-risk behavior, they have not resulted in specific intervention strategies to influence risky behavior, most likely because they fail to specify manipulable variables. As an alternative to social-cognitive theories, this paper evaluates the usefulness of a behavior-analytic approach to stem the spread of HIV infection. It examines some of the philosophical differences underlying cognitive and behavioral approaches that are embedded in mechanistic versus functional contextualistic principles. It explores the theoretical and practical implications of adopting either predicting and explaining behavior or predicting and influencing behavior as the goals of science. To illustrate the value of adopting the goal of prediction and influence, behavior-analytic research on the social context of risky sexual behavior in adolescents is described. The paper argues that in order to alter the future course of the AIDS epidemic, the behavioral sciences must move beyond describing cognitive and attitudinal correlates of risky behavior and focus on the social context of the behavior of individuals. In addition, population-wide changes in AIDS-risk behavior can be accomplished only if research focuses on how to influence larger social systems, including the media, school systems, and community organizations. PMID:22478197
Reading: Cognitive Input and Output.
ERIC Educational Resources Information Center
Kopp, Harriet Green
Descriptions of language learning and reading behaviors are presented, in this paper, within the context of a model of cognitive processing that reflects a continuum for the logical procession of language skills in human maturation and learning. Portions of the paper differentiate silent and oral reading in terms of cognitive load, which is a…
Female Adolescent Contraceptive Decision Making and Risk Taking.
ERIC Educational Resources Information Center
Johnson, Sharon A.; Green, Vicki
1993-01-01
Findings from 60 sexually active, unmarried females, ages 14 through 18, revealed that cognitive capacity and cognitive egocentrism variables as well as age, grade, and ethnic status significantly predicted 6 of 7 decision-making variables in contraceptive use model. One cognitive capacity variable and one sexual contraceptive behavior variable…
Neural response to pictorial health warning labels can predict smoking behavioral change
Riddle, Philip J.; Newman-Norlund, Roger D.; Baer, Jessica; Thrasher, James F.
2016-01-01
In order to improve our understanding of how pictorial health warning labels (HWLs) influence smoking behavior, we examined whether brain activity helps to explain smoking behavior above and beyond self-reported effectiveness of HWLs. We measured the neural response in the ventromedial prefrontal cortex (vmPFC) and the amygdala while adult smokers viewed HWLs. Two weeks later, participants’ self-reported smoking behavior and biomarkers of smoking behavior were reassessed. We compared multiple models predicting change in self-reported smoking behavior (cigarettes per day [CPD]) and change in a biomarkers of smoke exposure (expired carbon monoxide [CO]). Brain activity in the vmPFC and amygdala not only predicted changes in CO, but also accounted for outcome variance above and beyond self-report data. Neural data were most useful in predicting behavioral change as quantified by the objective biomarker (CO). This pattern of activity was significantly modulated by individuals’ intention to quit. The finding that both cognitive (vmPFC) and affective (amygdala) brain areas contributed to these models supports the idea that smokers respond to HWLs in a cognitive-affective manner. Based on our findings, researchers may wish to consider using neural data from both cognitive and affective networks when attempting to predict behavioral change in certain populations (e.g. cigarette smokers). PMID:27405615
Neural response to pictorial health warning labels can predict smoking behavioral change.
Riddle, Philip J; Newman-Norlund, Roger D; Baer, Jessica; Thrasher, James F
2016-11-01
In order to improve our understanding of how pictorial health warning labels (HWLs) influence smoking behavior, we examined whether brain activity helps to explain smoking behavior above and beyond self-reported effectiveness of HWLs. We measured the neural response in the ventromedial prefrontal cortex (vmPFC) and the amygdala while adult smokers viewed HWLs. Two weeks later, participants' self-reported smoking behavior and biomarkers of smoking behavior were reassessed. We compared multiple models predicting change in self-reported smoking behavior (cigarettes per day [CPD]) and change in a biomarkers of smoke exposure (expired carbon monoxide [CO]). Brain activity in the vmPFC and amygdala not only predicted changes in CO, but also accounted for outcome variance above and beyond self-report data. Neural data were most useful in predicting behavioral change as quantified by the objective biomarker (CO). This pattern of activity was significantly modulated by individuals' intention to quit. The finding that both cognitive (vmPFC) and affective (amygdala) brain areas contributed to these models supports the idea that smokers respond to HWLs in a cognitive-affective manner. Based on our findings, researchers may wish to consider using neural data from both cognitive and affective networks when attempting to predict behavioral change in certain populations (e.g. cigarette smokers). © The Author (2016). Published by Oxford University Press.
Leader-member exchange and safety citizenship behavior: The mediating role of coworker trust.
Jiang, Li; Li, Feng; Li, YongJuan; Li, Rui
2017-01-01
To achieve high safety levels, mere compliance with safety regulations is not sufficient; employees must be proactive and demonstrate safety citizenship behaviors. Trust is considered as a mechanism for facilitating the effects of a leader on employee citizenship behaviors. Increasingly research has focused on the role of trust in a safety context; however, the role of coworker trust has been overlooked. The mediating role of coworker trust in the relationship between the leader-member exchange and safety citizenship behavior is the focus of this field study. Front-line employees from an air traffic control center and an airline maintenance department completed surveys measuring leader-member exchange, co-worker trust, and safety citizenship behavior. Structural Equation Modeling revealed affective and cognitive trust in coworkers is influenced by leader-member exchange. A trust-based mediation model where cognitive trust and affective trust mediate the relationship between the leader-member exchange and safety citizenship behavior emerged. Results of this study add to our understanding of the relationship between leader-member exchange and safety behavior. The effect of co-worker trust and the extent to which employees participate in workplace safety practice were identified as critical factors. The findings show that managers need to focus on developing cognitive and affective coworker trust to improve safety citizenship behaviors.
Milders, Maarten; Ietswaart, Magdalena; Crawford, John R; Currie, David
2008-03-01
Although the adverse consequences of changes in social behavior following traumatic brain injury (TBI) are well documented, relatively little is known about possible underlying neuropsychological deficits. Following a model originally developed for social behavior deficits in schizophrenia, we investigated whether impairments in emotion recognition, understanding of other people's intentions ("theory of mind"), and cognitive flexibility soon after first TBI or 1 year later were associated with self and proxy ratings of behavior following TBI. Each of the three functions was assessed with two separate tests, and ratings of behavior were collected on three questionnaires. Patients with TBI (n = 33) were impaired in emotion recognition, "theory of mind," and cognitive flexibility compared with matched orthopedic controls (n = 34). Proxy ratings showed increases in behavioral problems 1 year following injury in the TBI group but not in the control group. However, test performance was not associated with questionnaire data. Severity of the impairments in emotion recognition, understanding intention, and flexibility were unrelated to the severity of behavioral problems following TBI. These findings failed to confirm the used model for social behavior deficits and may cast doubt on the alleged link between deficits in emotion recognition or theory of mind and social functioning.
Schrodt, Fabian; Kneissler, Jan; Ehrenfeld, Stephan; Butz, Martin V
2017-04-01
In line with Allen Newell's challenge to develop complete cognitive architectures, and motivated by a recent proposal for a unifying subsymbolic computational theory of cognition, we introduce the cognitive control architecture SEMLINCS. SEMLINCS models the development of an embodied cognitive agent that learns discrete production rule-like structures from its own, autonomously gathered, continuous sensorimotor experiences. Moreover, the agent uses the developing knowledge to plan and control environmental interactions in a versatile, goal-directed, and self-motivated manner. Thus, in contrast to several well-known symbolic cognitive architectures, SEMLINCS is not provided with production rules and the involved symbols, but it learns them. In this paper, the actual implementation of SEMLINCS causes learning and self-motivated, autonomous behavioral control of the game figure Mario in a clone of the computer game Super Mario Bros. Our evaluations highlight the successful development of behavioral versatility as well as the learning of suitable production rules and the involved symbols from sensorimotor experiences. Moreover, knowledge- and motivation-dependent individualizations of the agents' behavioral tendencies are shown. Finally, interaction sequences can be planned on the sensorimotor-grounded production rule level. Current limitations directly point toward the need for several further enhancements, which may be integrated into SEMLINCS in the near future. Overall, SEMLINCS may be viewed as an architecture that allows the functional and computational modeling of embodied cognitive development, whereby the current main focus lies on the development of production rules from sensorimotor experiences. Copyright © 2017 Cognitive Science Society, Inc.
Nonlinear dynamics of emotion-cognition interaction: when emotion does not destroy cognition?
Afraimovich, Valentin; Young, Todd; Muezzinoglu, Mehmet K; Rabinovich, Mikhail I
2011-02-01
Emotion (i.e., spontaneous motivation and subsequent implementation of a behavior) and cognition (i.e., problem solving by information processing) are essential to how we, as humans, respond to changes in our environment. Recent studies in cognitive science suggest that emotion and cognition are subserved by different, although heavily integrated, neural systems. Understanding the time-varying relationship of emotion and cognition is a challenging goal with important implications for neuroscience. We formulate here the dynamical model of emotion-cognition interaction that is based on the following principles: (1) the temporal evolution of cognitive and emotion modes are captured by the incoming stimuli and competition within and among themselves (competition principle); (2) metastable states exist in the unified emotion-cognition phase space; and (3) the brain processes information with robust and reproducible transients through the sequence of metastable states. Such a model can take advantage of the often ignored temporal structure of the emotion-cognition interaction to provide a robust and generalizable method for understanding the relationship between brain activation and complex human behavior. The mathematical image of the robust and reproducible transient dynamics is a Stable Heteroclinic Sequence (SHS), and the Stable Heteroclinic Channels (SHCs). These have been hypothesized to be possible mechanisms that lead to the sequential transient behavior observed in networks. We investigate the modularity of SHCs, i.e., given a SHS and a SHC that is supported in one part of a network, we study conditions under which the SHC pertaining to the cognition will continue to function in the presence of interfering activity with other parts of the network, i.e., emotion.
Xu, Yaoshan; Li, Yongjuan; Ding, Weidong; Lu, Fan
2014-01-01
This study explores the precursors of employees' safety behaviors based on a dual-process model, which suggests that human behaviors are determined by both controlled and automatic cognitive processes. Employees' responses to a self-reported survey on safety attitudes capture their controlled cognitive process, while the automatic association concerning safety measured by an Implicit Association Test (IAT) reflects employees' automatic cognitive processes about safety. In addition, this study investigates the moderating effects of inhibition on the relationship between self-reported safety attitude and safety behavior, and that between automatic associations towards safety and safety behavior. The results suggest significant main effects of self-reported safety attitude and automatic association on safety behaviors. Further, the interaction between self-reported safety attitude and inhibition and that between automatic association and inhibition each predict unique variances in safety behavior. Specifically, the safety behaviors of employees with lower level of inhibitory control are influenced more by automatic association, whereas those of employees with higher level of inhibitory control are guided more by self-reported safety attitudes. These results suggest that safety behavior is the joint outcome of both controlled and automatic cognitive processes, and the relative importance of these cognitive processes depends on employees' individual differences in inhibitory control. The implications of these findings for theoretical and practical issues are discussed at the end.
Xu, Yaoshan; Li, Yongjuan; Ding, Weidong; Lu, Fan
2014-01-01
This study explores the precursors of employees' safety behaviors based on a dual-process model, which suggests that human behaviors are determined by both controlled and automatic cognitive processes. Employees' responses to a self-reported survey on safety attitudes capture their controlled cognitive process, while the automatic association concerning safety measured by an Implicit Association Test (IAT) reflects employees' automatic cognitive processes about safety. In addition, this study investigates the moderating effects of inhibition on the relationship between self-reported safety attitude and safety behavior, and that between automatic associations towards safety and safety behavior. The results suggest significant main effects of self-reported safety attitude and automatic association on safety behaviors. Further, the interaction between self-reported safety attitude and inhibition and that between automatic association and inhibition each predict unique variances in safety behavior. Specifically, the safety behaviors of employees with lower level of inhibitory control are influenced more by automatic association, whereas those of employees with higher level of inhibitory control are guided more by self-reported safety attitudes. These results suggest that safety behavior is the joint outcome of both controlled and automatic cognitive processes, and the relative importance of these cognitive processes depends on employees' individual differences in inhibitory control. The implications of these findings for theoretical and practical issues are discussed at the end. PMID:24520338
Using GOMS and Bayesian plan recognition to develop recognition models of operator behavior
NASA Astrophysics Data System (ADS)
Zaientz, Jack D.; DeKoven, Elyon; Piegdon, Nicholas; Wood, Scott D.; Huber, Marcus J.
2006-05-01
Trends in combat technology research point to an increasing role for uninhabited vehicles in modern warfare tactics. To support increased span of control over these vehicles human responsibilities need to be transformed from tedious, error-prone and cognition intensive operations into tasks that are more supervisory and manageable, even under intensely stressful conditions. The goal is to move away from only supporting human command of low-level system functions to intention-level human-system dialogue about the operator's tasks and situation. A critical element of this process is developing the means to identify when human operators need automated assistance and to identify what assistance they need. Toward this goal, we are developing an unmanned vehicle operator task recognition system that combines work in human behavior modeling and Bayesian plan recognition. Traditionally, human behavior models have been considered generative, meaning they describe all possible valid behaviors. Basing behavior recognition on models designed for behavior generation can offers advantages in improved model fidelity and reuse. It is not clear, however, how to reconcile the structural differences between behavior recognition and behavior modeling approaches. Our current work demonstrates that by pairing a cognitive psychology derived human behavior modeling approach, GOMS, with a Bayesian plan recognition engine, ASPRN, we can translate a behavior generation model into a recognition model. We will discuss the implications for using human performance models in this manner as well as suggest how this kind of modeling may be used to support the real-time control of multiple, uninhabited battlefield vehicles and other semi-autonomous systems.
Edwards, Meghan K; Loprinzi, Paul D
2017-02-15
Sedentary behavior, cardiorespiratory fitness, cognition and age are interrelated and associated with cardiovascular function. No study, however, has specifically evaluated the independent and combined associations of cardiorespiratory fitness and sedentary behavior on cognition, which was this study's purpose. Data from the 1999-2002 NHANES were used (N=2451; 60-85yrs). Sedentary behavior was assessed via self-report; cardiorespiratory fitness was assessed from a medical-related algorithm; and cognition function was assessed from the Digit Symbol Substitution Test (DSST). Being in the bottom quartile for sedentary behavior (β=2.13; 95% CI: 0.49-3.77; P=0.01) and the top quartile for cardiorespiratory fitness (β=7.48; 95% CI: 5.4-9.5; P<0.001) were independently associated with higher cognitive function. In the additive model, those with an index score of 1 (vs. 0) and 2 (vs. 0), respectively, had a 3.87 (β=3.87; 95% CI: 1.76-5.98; P=0.001) and 10.40 (β=10.4; 95% CI: 7.31-13.5; P<0.001) higher DSST score. High cardiorespiratory fitness and low sedentary behavior were jointly associated with the highest cognitive function. This has important cardiovascular implications as a progression of neurocognitive impairment is associated with increasingly severe manifestations of cardiovascular disease. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Oliva, Jesús; Serrano, J Ignacio; del Castillo, M Dolores; Iglesias, Angel
2014-06-01
The diagnosis of mental disorders is in most cases very difficult because of the high heterogeneity and overlap between associated cognitive impairments. Furthermore, early and individualized diagnosis is crucial. In this paper, we propose a methodology to support the individualized characterization and diagnosis of cognitive impairments. The methodology can also be used as a test platform for existing theories on the causes of the impairments. We use computational cognitive modeling to gather information on the cognitive mechanisms underlying normal and impaired behavior. We then use this information to feed machine-learning algorithms to individually characterize the impairment and to differentiate between normal and impaired behavior. We apply the methodology to the particular case of specific language impairment (SLI) in Spanish-speaking children. The proposed methodology begins by defining a task in which normal and individuals with impairment present behavioral differences. Next we build a computational cognitive model of that task and individualize it: we build a cognitive model for each participant and optimize its parameter values to fit the behavior of each participant. Finally, we use the optimized parameter values to feed different machine learning algorithms. The methodology was applied to an existing database of 48 Spanish-speaking children (24 normal and 24 SLI children) using clustering techniques for the characterization, and different classifier techniques for the diagnosis. The characterization results show three well-differentiated groups that can be associated with the three main theories on SLI. Using a leave-one-subject-out testing methodology, all the classifiers except the DT produced sensitivity, specificity and area under curve values above 90%, reaching 100% in some cases. The results show that our methodology is able to find relevant information on the underlying cognitive mechanisms and to use it appropriately to provide better diagnosis than existing techniques. It is also worth noting that the individualized characterization obtained using our methodology could be extremely helpful in designing individualized therapies. Moreover, the proposed methodology could be easily extended to other languages and even to other cognitive impairments not necessarily related to language. Copyright © 2014 Elsevier B.V. All rights reserved.
A learning theory account of depression.
Ramnerö, Jonas; Folke, Fredrik; Kanter, Jonathan W
2015-06-11
Learning theory provides a foundation for understanding and deriving treatment principles for impacting a spectrum of functional processes relevant to the construct of depression. While behavioral interventions have been commonplace in the cognitive behavioral tradition, most often conceptualized within a cognitive theoretical framework, recent years have seen renewed interest in more purely behavioral models. These modern learning theory accounts of depression focus on the interchange between behavior and the environment, mainly in terms of lack of reinforcement, extinction of instrumental behavior, and excesses of aversive control, and include a conceptualization of relevant cognitive and emotional variables. These positions, drawn from extensive basic and applied research, cohere with biological theories on reduced reward learning and reward responsiveness and views of depression as a heterogeneous, complex set of disorders. Treatment techniques based on learning theory, often labeled Behavioral Activation (BA) focus on activating the individual in directions that increase contact with potential reinforcers, as defined ideographically with the client. BA is considered an empirically well-established treatment that generalizes well across diverse contexts and populations. The learning theory account is discussed in terms of being a parsimonious model and ground for treatments highly suitable for large scale dissemination. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.
[Epilepsy, cognition and ketogenic diet].
Garcia-Penas, J J
2018-03-01
Most individuals with epilepsy will respond to pharmacologic treatment; however, approximately 20-30% will develop medically refractory epilepsy. Cognitive side effects of antiepileptic drugs are common and can negatively affect tolerability, compliance, and long-term retention of the treatment. Ketogenic diet is an effective and well-tolerated treatment for these children with refractory epilepsy without any negative effect on cognition or behavior. To review the current state of experimental and clinical data concerning the neuroprotective and cognitive effects of the ketogenic diet in both humans and animals. In different animal models, with or without epilepsy, the ketogenic diet seems to have neuroprotective and mood-stabilizing effects. In the observational studies in pediatric epilepsy, improvements during treatment with the ketogenic diet are reported in behavior and cognitive function, particularly with respect to attention, alertness, activity level, socialization, and sleep quality. One randomized controlled trial in patients with pediatric refractory epilepsy showed a mood and cognitive activation during ketogenic diet treatment. Ketogenic diet shows a positive impact on behavioral and cognitive functioning in children and adolescents with refractory epilepsy. More specifically, an improvement is observed in mood, sustained attention, and social interaction.
A model of the human in a cognitive prediction task.
NASA Technical Reports Server (NTRS)
Rouse, W. B.
1973-01-01
The human decision maker's behavior when predicting future states of discrete linear dynamic systems driven by zero-mean Gaussian processes is modeled. The task is on a slow enough time scale that physiological constraints are insignificant compared with cognitive limitations. The model is basically a linear regression system identifier with a limited memory and noisy observations. Experimental data are presented and compared to the model.
O'Reilly, Kally C; Perica, Maria I; Fenton, André A
2016-10-01
Cognitive impairments are amongst the most debilitating deficits of schizophrenia and the best predictor of functional outcome. Schizophrenia is hypothesized to have a neurodevelopmental origin, making animal models of neurodevelopmental insult important for testing predictions that early insults will impair cognitive function. Rats exposed to methylazoxymethanol acetate (MAM) at gestational day 17 display morphological, physiological and behavioral abnormalities relevant to schizophrenia. Here we investigate the cognitive abilities of adult MAM rats. We examined brain activity in MAM rats by histochemically assessing cytochrome oxidase enzyme activity, a metabolic marker of neuronal activity. To assess cognition, we used a hippocampus-dependent two-frame active place avoidance paradigm to examine learning and spatial memory, as well as cognitive control and flexibility using the same environment and evaluating the same set of behaviors. We confirmed that adult MAM rats have altered hippocampal morphology and brain function, and that they are hyperactive in an open field. The latter likely indicates MAM rats have a sensorimotor gating deficit that is common to many animal models used for schizophrenia research. On first inspection, cognitive control seems impaired in MAM rats, indicated by more errors during the two-frame active place avoidance task. Because MAM rats are hyperactive throughout place avoidance training, we considered the possibility that the hyperlocomotion may account for the apparent cognitive deficits. These deficits were reduced on the basis of measures of cognitive performance that account for motor activity differences. However, though other aspects of memory are intact, the ability of MAM rats to express trial-to-trial memory is delayed compared to control rats. These findings suggest that spatial learning and cognitive abilities are largely intact, that the most prominent cognitive deficit is specific to acquiring memory in the MAM neurodevelopmental model, and that hyperactivity can confound assessments of cognition in animal models of mental dysfunction. Copyright © 2016 Elsevier Inc. All rights reserved.
1990-12-01
personality of other cognitive entities in the world. POPLAR is a step towards an AI system whose behavior is psychologically justified and can provide the...natural language capability (i.e. the ver- bal behavior of 1) and 5) are not addressed). Nor do we tackle in any complete ard principled manner the...human cognitive behavior . This property makes POPLAR 1.3 personality-oriented, i.e. provision is made in the present model for introducing personality
Maloney, Michael A; Renshaw, Ian; Headrick, Jonathon; Martin, David T; Farrow, Damian
2018-01-01
Enhancing practice design is critical to facilitate transfer of learning. Considerable research has focused on the role of perceptual information in practice simulation, yet has neglected how affect and cognition are shaped by practice environments and whether this influences the fidelity of behavior (Headrick et al., 2015). This study filled this gap by examining the fidelity of individual (cognition, affect, and actions) and interpersonal behavior of 10 highly skilled Australian Taekwondo athletes fighting in training compared to competition. Interpersonal behavior was assessed by tracking location coordinates to analyze distance-time coordination tendencies of the fighter-fighter system. Individual actions were assessed through notational analysis and approximate entropy calculations of coordinate data to quantify the (un)predictability of movement displacement. Affect and cognition were assessed with mixed-methods that included perceptual scales measuring anxiety, arousal, and mental effort, and post-fight video-facilitated confrontational interviews to explore how affect and cognitions might differ. Quantitative differences were assessed with mixed models and dependent t -tests. Results reveal that individual and interpersonal behavior differed between training and competition. In training, individuals attacked less ( d = 0.81, p < 0.05), initiated attacks from further away ( d = -0.20, p < 0.05) and displayed more predictable movement trajectories ( d = 0.84, p < 0.05). In training, fighters had lower anxiety ( d = -1.26, p < 0.05), arousal ( d = -1.07, p < 0.05), and mental effort ( d = -0.77, p < 0.05). These results were accompanied by changes in interpersonal behavior, with larger interpersonal distances generated by the fighter-fighter system in training ( d = 0.80, p < 0.05). Qualitative data revealed the emergence of cognitions and affect specific to the training environment, such as reductions in pressure, arousal, and mental challenge. Findings highlight the specificity of performer-environment interactions. Fighting in training affords reduced affective and cognitive demands and a decrease in action fidelity compared to competition. In addition to sampling information, representative practice needs to consider modeling the cognitions and affect of competition to enhance transfer.
Maloney, Michael A.; Renshaw, Ian; Headrick, Jonathon; Martin, David T.; Farrow, Damian
2018-01-01
Enhancing practice design is critical to facilitate transfer of learning. Considerable research has focused on the role of perceptual information in practice simulation, yet has neglected how affect and cognition are shaped by practice environments and whether this influences the fidelity of behavior (Headrick et al., 2015). This study filled this gap by examining the fidelity of individual (cognition, affect, and actions) and interpersonal behavior of 10 highly skilled Australian Taekwondo athletes fighting in training compared to competition. Interpersonal behavior was assessed by tracking location coordinates to analyze distance-time coordination tendencies of the fighter–fighter system. Individual actions were assessed through notational analysis and approximate entropy calculations of coordinate data to quantify the (un)predictability of movement displacement. Affect and cognition were assessed with mixed-methods that included perceptual scales measuring anxiety, arousal, and mental effort, and post-fight video-facilitated confrontational interviews to explore how affect and cognitions might differ. Quantitative differences were assessed with mixed models and dependent t-tests. Results reveal that individual and interpersonal behavior differed between training and competition. In training, individuals attacked less (d = 0.81, p < 0.05), initiated attacks from further away (d = -0.20, p < 0.05) and displayed more predictable movement trajectories (d = 0.84, p < 0.05). In training, fighters had lower anxiety (d = -1.26, p < 0.05), arousal (d = -1.07, p < 0.05), and mental effort (d = -0.77, p < 0.05). These results were accompanied by changes in interpersonal behavior, with larger interpersonal distances generated by the fighter–fighter system in training (d = 0.80, p < 0.05). Qualitative data revealed the emergence of cognitions and affect specific to the training environment, such as reductions in pressure, arousal, and mental challenge. Findings highlight the specificity of performer–environment interactions. Fighting in training affords reduced affective and cognitive demands and a decrease in action fidelity compared to competition. In addition to sampling information, representative practice needs to consider modeling the cognitions and affect of competition to enhance transfer. PMID:29445348
A symbolic/subsymbolic interface protocol for cognitive modeling
Simen, Patrick; Polk, Thad
2009-01-01
Researchers studying complex cognition have grown increasingly interested in mapping symbolic cognitive architectures onto subsymbolic brain models. Such a mapping seems essential for understanding cognition under all but the most extreme viewpoints (namely, that cognition consists exclusively of digitally implemented rules; or instead, involves no rules whatsoever). Making this mapping reduces to specifying an interface between symbolic and subsymbolic descriptions of brain activity. To that end, we propose parameterization techniques for building cognitive models as programmable, structured, recurrent neural networks. Feedback strength in these models determines whether their components implement classically subsymbolic neural network functions (e.g., pattern recognition), or instead, logical rules and digital memory. These techniques support the implementation of limited production systems. Though inherently sequential and symbolic, these neural production systems can exploit principles of parallel, analog processing from decision-making models in psychology and neuroscience to explain the effects of brain damage on problem solving behavior. PMID:20711520
Pooragha Roodbarde, Fatemeh; Talepasand, Siavash; Rahimian Boogar, Issac
2017-01-01
Objective: The present study aimed at examining the effect of multidimensional motivation interventions based on Martin's model on cognitive and behavioral components of motivation. Method: The research design was prospective with pretest, posttest, and follow-up, and 2 experimental groups. In this study, 90 students (45 participants in the experimental group and 45 in the control group) constituted the sample of the study, and they were selected by available sampling method. Motivation interventions were implemented for fifteen 60-minute sessions 3 times a week, which lasted for about 2 months. Data were analyzed using repeated measures multivariate variance analysis test. Results: The findings revealed that multidimensional motivation interventions resulted in a significant increase in the scores of cognitive components such as self-efficacy, mastery goal, test anxiety, and feeling of lack of control, and behavioral components such as task management. The results of one-month follow-up indicated the stability of the created changes in test anxiety and cognitive strategies; however, no significant difference was found between the 2 groups at the follow-up in self-efficacy, mastery goals, source of control, and motivation. Conclusion: The research evidence indicated that academic motivation is a multidimensional component and is affected by cognitive and behavioral factors; therefore, researchers, teachers, and other authorities should attend to these factors to increase academic motivation. PMID:28659984
Pooragha Roodbarde, Fatemeh; Talepasand, Siavash; Rahimian Boogar, Issac
2017-04-01
Objective: The present study aimed at examining the effect of multidimensional motivation interventions based on Martin's model on cognitive and behavioral components of motivation. Method: The research design was prospective with pretest, posttest, and follow-up, and 2 experimental groups. In this study, 90 students (45 participants in the experimental group and 45 in the control group) constituted the sample of the study, and they were selected by available sampling method. Motivation interventions were implemented for fifteen 60-minute sessions 3 times a week, which lasted for about 2 months. Data were analyzed using repeated measures multivariate variance analysis test. Results: The findings revealed that multidimensional motivation interventions resulted in a significant increase in the scores of cognitive components such as self-efficacy, mastery goal, test anxiety, and feeling of lack of control, and behavioral components such as task management. The results of one-month follow-up indicated the stability of the created changes in test anxiety and cognitive strategies; however, no significant difference was found between the 2 groups at the follow-up in self-efficacy, mastery goals, source of control, and motivation. Conclusion: The research evidence indicated that academic motivation is a multidimensional component and is affected by cognitive and behavioral factors; therefore, researchers, teachers, and other authorities should attend to these factors to increase academic motivation.
A Neurobehavioral Model of Flexible Spatial Language Behaviors
ERIC Educational Resources Information Center
Lipinski, John; Schneegans, Sebastian; Sandamirskaya, Yulia; Spencer, John P.; Schoner, Gregor
2012-01-01
We propose a neural dynamic model that specifies how low-level visual processes can be integrated with higher level cognition to achieve flexible spatial language behaviors. This model uses real-word visual input that is linked to relational spatial descriptions through a neural mechanism for reference frame transformations. We demonstrate that…
Effects of prosocial, neutral, and violent video games on college students' affect.
Saleem, Muniba; Anderson, Craig A; Gentile, Douglas A
2012-01-01
Recent research reveals that playing prosocial video games increases prosocial cognitions and helpful behaviors [Gentile el al., 2009; Greitemeyer and Osswald, 2009; 2010; 2011]. These results are consistent with social-cognitive models of social behavior [e.g., the "General Learning Model," Buckley and Anderson, 2006]. The social-cognitive learning models suggest that in addition to influencing cognitions, media content may also influence affect. However, past studies on prosocial video games have failed to find a significant effect on affective measures [Greitemeyer and Osswald, 2010]. The present research examined the effects of prosocial, neutral, and violent video games on state hostility and positive affect. Also examined were moderating effects of trait aggressiveness, trait altruistic helping, and trait egoistic helping. Prosocial games reduced state hostility and increased positive state affect. Violent video games had the opposite effects. These effects were moderated by trait physical aggression. Altruistic participants reported relatively more positive affect and less state hostility. Egoistic participants reported relatively more aggravated and mean feelings. © 2012 Wiley Periodicals, Inc.
The Social Context Network Model in Psychiatric and Neurological Diseases.
Baez, Sandra; García, Adolfo M; Ibanez, Agustín
2017-01-01
The role of contextual modulations has been extensively studied in basic sensory and cognitive processes. However, little is known about their impact on social cognition, let alone their disruption in disorders compromising such a domain. In this chapter, we flesh out the social context network model (SCNM), a neuroscientific proposal devised to address the issue. In SCNM terms, social context effects rely on a fronto-temporo-insular network in charge of (a) updating context cues to make predictions, (b) consolidating context-target associative learning, and (c) coordinating internal and external milieus. First, we characterize various social cognition domains as context-dependent phenomena. Then, we review behavioral and neural evidence of social context impairments in behavioral variant frontotemporal dementia (bvFTD) and autism spectrum disorder (ASD), highlighting their relation with key SCNM hubs. Next, we show that other psychiatric and neurological conditions involve context-processing impairments following damage to the brain regions included in the model. Finally, we call for an ecological approach to social cognition assessment, moving beyond widespread abstract and decontextualized methods.
Bickle Graz, Myriam; Tolsa, Jean-François; Fischer Fumeaux, Céline Julie
2015-01-01
Whether being small for gestational age (SGA) increases the risk of adverse neurodevelopmental outcome in premature infants remains controversial. to study the impact of SGA (birthweight < percentile 10) on cognition, behavior, neurodevelopmental impairment and use of therapy at 5 years old. This population-based prospective cohort included infants born before 32 weeks of gestation. Cognition was evaluated with the K-ABC, and behavior with the Strengths and Difficulties Questionnaire (SDQ). Primary outcomes were cognitive and behavioral scores, as well as neurodevelopmental impairment (cognitive score < 2SD, hearing loss, blindness, or cerebral palsy). The need of therapy, an indirect indicator of neurodevelopmental impairment, was a secondary outcome. Linear and logistic regression models were used to analyze the association of SGA with neurodevelopment. 342/515 (76%) premature infants were assessed. SGA was significantly associated with hyperactivity scores of the SDQ (coefficient 0.81, p < 0.04), but not with cognitive scores, neurodevelopmental impairment or the need of therapy. Gestational age, socio-economic status, and major brain lesions were associated with cognitive outcome in the univariate and multivariate model, whereas asphyxia, sepsis and bronchopulmonary dysplasia were associated in the univariate model only. Severe impairment was associated with fetal tobacco exposition, asphyxia, gestational age and major brain lesions. Different neonatal factors were associated with the use of single or multiple therapies: children with one therapy were more likely to have suffered birth asphyxia or necrotizing enterocolitis, whereas the need for several therapies was predicted by major brain lesions. In this large cohort of premature infants, assessed at 5 years old with a complete panel of tests, SGA was associated with hyperactive behavior, but not with cognition, neurodevelopmental impairment or use of therapy. Birthweight <10th percentile alone does not appear to be an independent risk factor of neurodevelopmental adverse outcome in preterm children.
Deliberative and spontaneous cognitive processes associated with HIV risk behavior
Ames, Susan L.; Stacy, Alan W.
2012-01-01
Dual process models of decision-making suggest that behavior is mediated by a spontaneous behavior selection process or by a more deliberative evaluation of behavioral options. We examined whether the deliberative system moderates the influence of spontaneous cognition on HIV-risk behaviors. A measure of spontaneous sex-related associations (word association), a measure of deliberative working memory capacity (operation span), and two measures of sexual behavior (condom use and multiple partners) were assessed in a cross-sectional study among 490 adult drug offenders. Significant effects were observed among men but not among women in two latent interaction models. In a novel finding, the accessibility of spontaneous safe sex-related associations was significantly more predictive of condom use among men with higher working memory capacity than among men with lower capacity. These results have implications for the design of interventions to promote safe sex practices. PMID:22331437
Effects of Prosocial, Neutral, and Violent Video Games on Children's Helpful and Hurtful Behaviors.
Saleem, Muniba; Anderson, Craig A; Gentile, Douglas A
2012-01-01
Recent research reveals that playing prosocial video games increases prosocial cognitions, positive affect, and helpful behaviors [Gentile et al., 2009; Greitemeyer and Osswald, 2009, 2010, 2011]. These results are consistent with the social-cognitive models of social behavior such as the general learning model [Buckley and Anderson, 2006]. However, no experimental studies have examined such effects on children. Previous research on violent video games suggests that short-term effects of video games are largely based on priming of existing behavioral scripts. Thus, it is unclear whether younger children will show similar effects. This research had 9-14 years olds play a prosocial, neutral, or violent video game, and assessed helpful and hurtful behaviors simultaneously through a new tangram measure. Prosocial games increased helpful and decreased hurtful behavior, whereas violent games had the opposite effects. © 2012 Wiley Periodicals, Inc.
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Pole, Nnamdi; Ablon, J. Stuart; O'Connor, Lynn E.
2008-01-01
This article illustrates a method of testing models of change in individual long-term psychotherapy cases. A depressed client was treated with 208 sessions of control mastery therapy (CMT), an unmanualized approach that integrates elements of psychodynamic therapy (PDT) and cognitive behavioral therapy (CBT). Panels of experts developed prototypes…
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Runyon, Melissa K.; Deblinger, Esther; Schroeder, Christine M.
2009-01-01
Child physical abuse (CPA) is not only a highly prevalent public health problem, but it has been associated with a wide range of debilitating psychosocial sequelae that may develop during childhood and persist into adulthood. This paper outlines a treatment model, Combined Parent-Child Cognitive-Behavioral Therapy (CPC-CBT), that addresses the…
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Kolko, David J.; Iselin, Anne-Marie R.; Gully, Kevin J.
2011-01-01
This paper examines the sustainability and outcome of Alternatives for Families: A Cognitive-Behavioral Therapy (AF-CBT) as delivered by practitioners in a community-based child protection program who had received training in the model several years earlier. Formerly described as Abuse-Focused CBT, AF-CBT is an evidence-based treatment (EBT) for…
ERIC Educational Resources Information Center
Kalkan, Melek; Ersanli, Ercumend
2008-01-01
The aim of this study is to investigate the effects of the marriage enrichment program based on the cognitive-behavioral approach on levels of marital adjustment of individuals. The experimental and control group of this research was totally composed of 30 individuals. A pre-test post-test research model with control group was used in this…
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Frisby, Craig L.; Wang, Ze
2016-01-01
Data from the standardization sample of the Woodcock-Johnson Psychoeducational Battery--Third Edition (WJ III) Cognitive standard battery and Test Session Observation Checklist items were analyzed to understand the relationship between g (general mental ability) and test session behavior (TSB; n = 5,769). Latent variable modeling methods were used…
[Cognitive experimental approach to anxiety disorders].
Azaïs, F
1995-01-01
Cognitive psychology is proposing a functional model to explain the mental organisation leading to emotional disorders. Among these disorders, anxiety spectrum represents a domain in which this model seems to be interesting for an efficient and comprehensive approach of the pathology. Number of behavioral or cognitive psychotherapeutic methods are relating to these cognitive references, but the theorical concepts of cognitive "shemata" or cognitive "processes" evoked to describe mental functioning in anxiety need an experimental approach for a better rational understanding. Cognitive function as perception, attention or memory can be explored in this domaine in an efficient way, allowing a more precise study of each stage of information processing. The cognitive model proposed in the psychopathology of anxiety suggests that anxious subjects are characterized by biases in processing of emotionally valenced information. This hypothesis suggests functional interference in information processing in these subjects, leading to an anxious response to the most of different stimuli. Experimental approach permit to explore this hypothesis, using many tasks for testing different cognitive dysfunction evoked in the anxious cognitive organisation. Impairments revealed in anxiety disorders seem to result from specific biases in threat-related information processing, involving several stages of cognitive processes. Semantic interference, attentional bias, implicit memory bias and priming effect are the most often disorders observed in anxious pathology, like simple phobia, generalised anxiety, panic disorder or post-traumatic stress disorder. These results suggest a top-down organisation of information processing in anxious subjects, who tend to detect, perceive and label many situations as threatening experience. The processes of reasoning and elaboration are consequently impaired in their adaptative function to threat, leading to the anxious response observed in clinical condition. The cognitive, behavioral and emotional components of this anxious reaction maintain the stressful experience for the subject, in which the self cognitive competence remain pathologically decreased. Cognitive psychology proposes an interesting model for the understanding of anxiety, in a domain in which subjectivity could benefit from an experimental approach.(ABSTRACT TRUNCATED AT 400 WORDS)
Meng, Xiu-Hong; Liu, Ping; Wang, Hua; Zhao, Xian-Feng; Xu, Zhong-Mei; Chen, Gui-Hai; Xu, De-Xiang
2011-06-24
In human and rodent models, endocrine disrupting chemicals (EDCs) interfere with the development of cognition and behaviors. Fenvalerate is a potential EDC. The purpose of this study was to examine whether pubertal fenvalerate exposure altered behavioral development. Mice were orally administered with either vehicle or fenvalerate (7.5 or 30 mg/kg/day) from postnatal day (PND) 28 to PND56. Learning and memory were assessed by Morris Water Maze. Aggressive performance was evaluated by aggressive behavior test. Anxiety-related activities were detected by three tests: open-field, plus-maze and black-white alley. Sensorimotor function was analyzed using beam walking and tightrope. Results found that the impairment for spatial learning and memory was more severe in fenvalerate-exposed female mice than in male mice. In addition, pubertal fenvalerate exposure inhibited aggressive behavior in males. Moreover, pubertal fenvalerate exposure increased anxiety activities in females. Altogether, these results suggest that pubertal fenvalerate exposure impairs spatial cognition and behavioral development in a gender-dependent manner. These findings identify fenvalerate as candidate environmental risk factors for cognitive and behavioral development, especially in the critical period of development. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
ERIC Educational Resources Information Center
Sandhu, Daya Singh
The dilemma of relapse exists for a number of addictive behaviors, and mental health authorities agree that keeping addictive behaviors off permanently is much more difficult than treating the behaviors initially. Several relapse prevention models have been posited and environmental, physiological, behavioral, cognitive, and affective factors have…
Pains, joys, and secrets: nurse-led group therapy for older adults with depression.
Nance, Douglas C
2012-02-01
This is the first study of nurse-led group therapy in Mexico. Forty-one depressed older adults with a median age of 71 participated in nurse-led cognitive behavioral group therapy once a week for 12 weeks. Participants' scores on the Patient Health Questionaire-9 showed mild to moderate improvement. Participants experienced positive results in personal growth, changing negative thoughts, and relationships with family. An important therapeutic factor was the support of fellow group members. The nurses experienced positive personal and professional growth. Difficulties included physician resistance and a too-rigid cognitive behavioral group therapy model. A combination of cognitive behavioral therapy and supportive group therapy is recommended.
Cognitive inflexibility in obsessive-compulsive disorder
Gruner, Patricia; Pittenger, Christopher
2016-01-01
Obsessive-Compulsive Disorder (OCD) is characterized by maladaptive patterns of repetitive, inflexible cognition and behavior that suggest a lack of cognitive flexibility. Consistent with this clinical observation, many neurocognitive studies suggest behavioral and neurobiological abnormalities in cognitive flexibility in individuals with OCD. Meta-analytic reviews support a pattern of cognitive inflexibility, with effect sizes generally in the medium range. Heterogeneity in assessments and the way underlying constructs have been operationalized point to the need for better standardization across studies, as well as more refined overarching models of cognitive flexibility and executive function. Neuropsychological assessments of cognitive flexibility include measures of attentional set shifting, reversal and alternation, cued task switching paradigms, cognitive control measures such as the Trail-Making and Stroop tasks, and several measures of motor inhibition. Differences in the cognitive constructs and neural substrates associated with these measures suggest that performance within these different domains should be examined separately. Additional factors, such as the number of consistent trials prior to a shift and whether a shift is explicitly signaled or must be inferred from a change in reward contingencies, may influence performance, and thus mask or accentuate deficits. Several studies have described abnormalities in neural activation in the absence of differences in behavioral performance, suggesting that our behavioral probes may not be adequately sensitive, but also offering important insights into potential compensatory processes. The fact that deficits of moderate effect size are seen across a broad range of classic neuropsychological tests in OCD presents a conceptual challenge, as clinical symptomatology suggests greater specificity. Traditional cognitive probes may not be sufficient to delineate specific domains of deficit in this and other neuropsychiatric disorders; a new generation of behavioral tasks that test more specific underlying constructs, supplemented by neuroimaging to provide greater insight into the underlying processes, may be needed. PMID:27491478
Neighbors, Clayton; Walker, Denise D.; Mbilinyi, Lyungai F.; Zegree, Joan; Foster, Dawn W.; Roffman, Roger A.
2012-01-01
The present research was designed to evaluate self-determination theory as a framework for integrating factors associated with intimate partner violence (IPV) perpetration. The proposed model suggests that childhood exposure to parental violence may influence global motivational orientations which, in turn result in greater cognitive biases (overestimating the prevalence of IPV and justification of IPV) which, in turn, contribute to an individual’s decision to use abusive behavior. Participants included 124 men who had engaged in abusive behavior toward an intimate partner. Results provided reasonable support for the proposed model and stronger support for a revised model suggesting that controlled orientation, rather than autonomy orientation, appears to play a stronger role in the association between childhood exposure to parental violence and cognitive biases associated with abusive behavior. PMID:23526064
Berger, Lawrence M; Bruch, Sarah K; Johnson, Elizabeth I; James, Sigrid; Rubin, David
2009-01-01
This study used data on 2,453 children aged 4-17 from the National Survey of Child and Adolescent Well-Being and 5 analytic methods that adjust for selection factors to estimate the impact of out-of-home placement on children's cognitive skills and behavior problems. Methods included ordinary least squares (OLS) regressions and residualized change, simple change, difference-in-difference, and fixed effects models. Models were estimated using the full sample and a matched sample generated by propensity scoring. Although results from the unmatched OLS and residualized change models suggested that out-of-home placement is associated with increased child behavior problems, estimates from models that more rigorously adjust for selection bias indicated that placement has little effect on children's cognitive skills or behavior problems.
A Comparison of Two Models of Risky Sexual Behavior During Late Adolescence.
Braje, Sopagna Eap; Eddy, J Mark; Hall, Gordon C N
2016-01-01
Two models of risky sexual behavior (RSB) were compared in a community sample of late adolescents (N = 223). For the traumagenic model, early negative sexual experiences were posited to lead to an association between negative affect with sexual relationships. For the cognitive escape model, depressive affect was posited to lead to engagement in RSB as a way to avoid negative emotions. The current study examined whether depression explained the relationship between sexual trauma and RSB, supporting the cognitive escape model, or whether it was sexual trauma that led specifically to RSB, supporting the traumagenic model. Physical trauma experiences were also examined to disentangle the effects of sexual trauma compared to other emotionally distressing events. The study examined whether the results would be moderated by participant sex. For males, support was found for the cognitive escape model but not the traumagenic model. Among males, physical trauma and depression predicted engagement in RSB but sexual trauma did not. For females, support was found for the traumagenic and cognitive escape model. Among females, depression and sexual trauma both uniquely predicted RSB. There was an additional suppressor effect of socioeconomic status in predicting RSB among females. Results suggest that the association of trauma type with RSB depends on participant sex. Implications of the current study for RSB prevention efforts are discussed.
Martinez-Brockman, J L; Shebl, F M; Harari, N; Pérez-Escamilla, R
2017-06-01
In the United States rates of exclusive breastfeeding duration remain exceedingly low. Exclusive breastfeeding is a complex learned behavior that is influenced by social cognitive, interpersonal, and structural factors. Interventions are needed that address factors at multiple levels of the social-ecological model. This study was designed to examine the social cognitive predictors of exclusive breastfeeding behavior in a sample of low-income women attending the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) breastfeeding peer counseling program and enrolled in the Lactation Advice Through Texting Can Help (LATCH) study. The objectives were to examine whether: (1) the theoretical model, the Health Action Process Approach (HAPA), fit the data well; (2) planning mediated the effect of intentions and maintenance self-efficacy on exclusive breastfeeding; and (3) recovery self-efficacy mediated the association between maintenance self-efficacy and exclusive breastfeeding behavior. Outcome expectancies, action self-efficacy and intentions were assessed prenatally at baseline in N = 119 participants. Maintenance self-efficacy, planning, recovery self-efficacy and breastfeeding behavior were measured at two weeks post partum. Structural equation modeling with mean and variance adjusted Weighted Least Squares estimation was used to examine the applicability of the HAPA model to the data. Phase specific self-efficacy and planning significantly predicted exclusive breastfeeding status. Planning and recovery self-efficacy mediated the association between maintenance self-efficacy and exclusive breastfeeding. Planning did not emerge as a mediator between intentions and behavior. These results demonstrate the utility of the HAPA model in predicting exclusive breastfeeding behavior among low-income women attending WIC. LATCH is a theoretically sound text messaging intervention that can be used to augment and reinforce the WIC breastfeeding peer counseling process. Copyright © 2017 Elsevier Ltd. All rights reserved.
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Brownell, Judi; Jameson, Daphne A.
2004-01-01
This article develops a model of problem-based learning (PBL) and shows how PBL has been used for a decade in one graduate management program. PBL capitalizes on synergies among cognitive, affective, and behavioral learning. Although management education usually privileges cognitive learning, affective learning is equally important. By focusing on…
Fear Control an Danger Control: A Test of the Extended Parallel Process Model (EPPM).
ERIC Educational Resources Information Center
Witte, Kim
1994-01-01
Explores cognitive and emotional mechanisms underlying success and failure of fear appeals in context of AIDS prevention. Offers general support for Extended Parallel Process Model. Suggests that cognitions lead to fear appeal success (attitude, intention, or behavior changes) via danger control processes, whereas the emotion fear leads to fear…
Hagger, Martin S; Chan, Derwin K C; Protogerou, Cleo; Chatzisarantis, Nikos L D
2016-08-01
Synthesizing research on social cognitive theories applied to health behavior is an important step in the development of an evidence base of psychological factors as targets for effective behavioral interventions. However, few meta-analyses of research on social cognitive theories in health contexts have conducted simultaneous tests of theoretically-stipulated pattern effects using path analysis. We argue that conducting path analyses of meta-analytic effects among constructs from social cognitive theories is important to test nomological validity, account for mediation effects, and evaluate unique effects of theory constructs independent of past behavior. We illustrate our points by conducting new analyses of two meta-analyses of a popular theory applied to health behaviors, the theory of planned behavior. We conducted meta-analytic path analyses of the theory in two behavioral contexts (alcohol and dietary behaviors) using data from the primary studies included in the original meta-analyses augmented to include intercorrelations among constructs and relations with past behavior missing from the original analysis. Findings supported the nomological validity of the theory and its hypotheses for both behaviors, confirmed important model processes through mediation analysis, demonstrated the attenuating effect of past behavior on theory relations, and provided estimates of the unique effects of theory constructs independent of past behavior. Our analysis illustrates the importance of conducting a simultaneous test of theory-stipulated effects in meta-analyses of social cognitive theories applied to health behavior. We recommend researchers adopt this analytic procedure when synthesizing evidence across primary tests of social cognitive theories in health. Copyright © 2016 Elsevier Inc. All rights reserved.
Behavioral alterations in the pilocarpine model of temporal lobe epilepsy in mice.
Gröticke, Ina; Hoffmann, Katrin; Löscher, Wolfgang
2007-10-01
Psychiatric disorders frequently occur in patients with epilepsy, but the relationship between epilepsy and psychopathology is poorly understood. Frequent comorbidities in epilepsy patients comprise major depression, anxiety disorders, psychosis and cognitive dysfunction. Animal models of epilepsy, such as the pilocarpine model of acquired epilepsy, are useful to study the relationship between epilepsy and behavioral dysfunctions. However, despite the advantages of mice in studying the genetic underpinning of behavioral alterations in epilepsy, mice have only rarely been used to characterize behavioral correlates of epilepsy. This prompted us to study the behavioral and cognitive alterations developing in NMRI mice in the pilocarpine model of epilepsy, using an anxiety test battery as well as tests for depression, drug-induced psychosis, spatial memory, and motor functions. In order to ensure the occurrence of status epilepticus (SE) and decrease mortality, individual dosing of pilocarpine was performed by ramping up the dose until onset of SE. This protocol was used for studying the consequences of SE, i.e. hippocampal damage, incidence of epilepsy with spontaneous recurrent seizures, and behavioral alterations. SE was terminated by diazepam after either 60, 90 or 120 min. All mice that survived SE developed epilepsy, but the severity of hippocampal damage varied depending on SE length. In all anxiety tests, except the elevated plus maze test, epileptic mice exhibited significant increases of anxiety-related behavior. Surprisingly, a decrease in depression-like behavior was observed in the forced swimming and tail suspension tests. Furthermore, epileptic mice were less sensitive than controls to most of the behavioral effects induced by MK-801 (dizocilpine). Learning and memory were impaired in epileptic mice irrespective of SE duration. Thus, the pilocarpine-treated mice seem to reflect several of the behavioral and cognitive disturbances that are associated with epilepsy in humans. This makes these animals an ideal model to study the neurobiological mechanisms underlying the association between epilepsy and psychopathology.
A Social Learning Model of Adolescent Contraceptive Behavior.
ERIC Educational Resources Information Center
Balassone, Mary Lou
1991-01-01
Research findings and theories regarding adolescent contraceptive use are reviewed to propose an alternative framework relying on social learning theory. Environmental context, cognitive influences, and behavior execution constraints are suggested as the foundation for contraceptive behaviors. The behavioral skills teenagers need to use birth…
Ingber, Adam P; Hassenstab, Jason; Fagan, Anne M; Benzinger, Tammie L S; Grant, Elizabeth A; Holtzman, David M; Morris, John C; Roe, Catherine M
2016-01-01
The influence of reserve variables and Alzheimer's disease (AD) biomarkers on cognitive test performance has been fairly well-characterized. However, less is known about the influence of these factors on "non-cognitive" outcomes, including functional abilities and mood. We examined whether cognitive and brain reserve variables mediate how AD biomarker levels in cognitively normal persons predict future changes in function, mood, and neuropsychiatric behavior. Non-cognitive outcomes were examined in 328 individuals 50 years and older enrolled in ongoing studies of aging and dementia at the Knight Alzheimer Disease Research Center (ADRC). All participants were cognitively normal at baseline (Clinical Dementia Rating [CDR] 0), completed cerebrospinal fluid (CSF) and structural neuroimaging studies within one year of baseline, and were followed for an average of 4.6 annual visits. Linear mixed effects models explored how cognitive reserve and brain reserve variables mediate the relationships between AD biomarker levels and changes in function, mood, and neuropsychiatric behavior in cognitively normal participants. Education levels did not have a significant effect on predicting non-cognitive decline. However, participants with smaller brain volumes exhibited the worst outcomes on measures of mood, functional abilities, and behavioral disturbance. This effect was most pronounced in individuals who also had abnormal CSF biomarkers. The findings suggest that brain reserve plays a stronger, or earlier, role than cognitive reserve in protecting against non-cognitive impairment in AD.
ERIC Educational Resources Information Center
Teti, Douglas M.; Crosby, Brian
2012-01-01
Mechanisms were examined to clarify relations between maternal depressive symptoms, dysfunctional cognitions, and infant night waking among 45 infants (1-24 months) and their mothers. A mother-driven mediational model was tested in which maternal depressive symptoms and dysfunctional cognitions about infant sleep predicted infant night waking via…
Developmental issues in school-based aggression prevention from a social-cognitive perspective.
Boxer, Paul; Goldstein, Sara E; Musher-Eizenman, Dara; Dubow, Eric F; Heretick, Donna
2005-09-01
Contemporary research on the development and prevention of aggressive behavior in childhood and adolescence emphasizes the importance of social-cognitive factors such as perceptual biases, problem-solving skills, and social-moral beliefs in the maintenance of aggression. Indeed, school-based social-cognitive intervention approaches have been identified as best practices by the Centers for Disease Control and Prevention. However, because child age is an important covariate of both intervention effectiveness and social-cognitive ability, school-based prevention program designers should keep in mind a number of issues identified through developmental research. In this paper, we review the social-cognitive model of aggressive behavior development as applied to prevention programming. We then discuss some of the ways in which the broader developmental research base can inform the design of aggression prevention programs. EDITORS' STRATEGIC IMPLICATIONS: Educational administrators and policy makers will find evidence in this review that school-based programs that employ a social-cognitive model represent a strategy that works for preventing violence. Prevention researchers will also benefit from the authors' insights regarding theoretical mediating processes and the importance of a developmental view.
Modeling users' activity on Twitter networks: validation of Dunbar's number
NASA Astrophysics Data System (ADS)
Goncalves, Bruno; Perra, Nicola; Vespignani, Alessandro
2012-02-01
Microblogging and mobile devices appear to augment human social capabilities, which raises the question whether they remove cognitive or biological constraints on human communication. In this paper we analyze a dataset of Twitter conversations collected across six months involving 1.7 million individuals and test the theoretical cognitive limit on the number of stable social relationships known as Dunbar's number. We find that the data are in agreement with Dunbar's result; users can entertain a maximum of 100-200 stable relationships. Thus, the ``economy of attention'' is limited in the online world by cognitive and biological constraints as predicted by Dunbar's theory. We propose a simple model for users' behavior that includes finite priority queuing and time resources that reproduces the observed social behavior.
Individual differences in attention influence perceptual decision making.
Nunez, Michael D; Srinivasan, Ramesh; Vandekerckhove, Joachim
2015-01-01
Sequential sampling decision-making models have been successful in accounting for reaction time (RT) and accuracy data in two-alternative forced choice tasks. These models have been used to describe the behavior of populations of participants, and explanatory structures have been proposed to account for between individual variability in model parameters. In this study we show that individual differences in behavior from a novel perceptual decision making task can be attributed to (1) differences in evidence accumulation rates, (2) differences in variability of evidence accumulation within trials, and (3) differences in non-decision times across individuals. Using electroencephalography (EEG), we demonstrate that these differences in cognitive variables, in turn, can be explained by attentional differences as measured by phase-locking of steady-state visual evoked potential (SSVEP) responses to the signal and noise components of the visual stimulus. Parameters of a cognitive model (a diffusion model) were obtained from accuracy and RT distributions and related to phase-locking indices (PLIs) of SSVEPs with a single step in a hierarchical Bayesian framework. Participants who were able to suppress the SSVEP response to visual noise in high frequency bands were able to accumulate correct evidence faster and had shorter non-decision times (preprocessing or motor response times), leading to more accurate responses and faster response times. We show that the combination of cognitive modeling and neural data in a hierarchical Bayesian framework relates physiological processes to the cognitive processes of participants, and that a model with a new (out-of-sample) participant's neural data can predict that participant's behavior more accurately than models without physiological data.
A model of individualized canonical microcircuits supporting cognitive operations
Peterson, Andre D. H.; Haueisen, Jens; Knösche, Thomas R.
2017-01-01
Major cognitive functions such as language, memory, and decision-making are thought to rely on distributed networks of a large number of basic elements, called canonical microcircuits. In this theoretical study we propose a novel canonical microcircuit model and find that it supports two basic computational operations: a gating mechanism and working memory. By means of bifurcation analysis we systematically investigate the dynamical behavior of the canonical microcircuit with respect to parameters that govern the local network balance, that is, the relationship between excitation and inhibition, and key intrinsic feedback architectures of canonical microcircuits. We relate the local behavior of the canonical microcircuit to cognitive processing and demonstrate how a network of interacting canonical microcircuits enables the establishment of spatiotemporal sequences in the context of syntax parsing during sentence comprehension. This study provides a framework for using individualized canonical microcircuits for the construction of biologically realistic networks supporting cognitive operations. PMID:29200435
Sleep spindles may predict response to cognitive-behavioral therapy for chronic insomnia.
Dang-Vu, Thien Thanh; Hatch, Benjamin; Salimi, Ali; Mograss, Melodee; Boucetta, Soufiane; O'Byrne, Jordan; Brandewinder, Marie; Berthomier, Christian; Gouin, Jean-Philippe
2017-11-01
While cognitive-behavioral therapy for insomnia constitutes the first-line treatment for chronic insomnia, only few reports have investigated how sleep architecture relates to response to this treatment. In this pilot study, we aimed to determine whether pre-treatment sleep spindle density predicts treatment response to cognitive-behavioral therapy for insomnia. Twenty-four participants with chronic primary insomnia participated in a 6-week cognitive-behavioral therapy for insomnia performed in groups of 4-6 participants. Treatment response was assessed using the Pittsburgh Sleep Quality Index and the Insomnia Severity Index measured at pre- and post-treatment, and at 3- and 12-months' follow-up assessments. Secondary outcome measures were extracted from sleep diaries over 7 days and overnight polysomnography, obtained at pre- and post-treatment. Spindle density during stage N2-N3 sleep was extracted from polysomnography at pre-treatment. Hierarchical linear modeling analysis assessed whether sleep spindle density predicted response to cognitive-behavioral therapy. After adjusting for age, sex, and education level, lower spindle density at pre-treatment predicted poorer response over the 12-month follow-up, as reflected by a smaller reduction in Pittsburgh Sleep Quality Index over time. Reduced spindle density also predicted lower improvements in sleep diary sleep efficiency and wake after sleep onset immediately after treatment. There were no significant associations between spindle density and changes in the Insomnia Severity Index or polysomnography variables over time. These preliminary results suggest that inter-individual differences in sleep spindle density in insomnia may represent an endogenous biomarker predicting responsiveness to cognitive-behavioral therapy. Insomnia with altered spindle activity might constitute an insomnia subtype characterized by a neurophysiological vulnerability to sleep disruption associated with impaired responsiveness to cognitive-behavioral therapy. Copyright © 2017 Elsevier B.V. All rights reserved.
Mediodorsal thalamus hypofunction impairs flexible goal-directed behavior.
Parnaudeau, Sébastien; Taylor, Kathleen; Bolkan, Scott S; Ward, Ryan D; Balsam, Peter D; Kellendonk, Christoph
2015-03-01
Cognitive inflexibility is a core symptom of several mental disorders including schizophrenia. Brain imaging studies in schizophrenia patients performing cognitive tasks have reported decreased activation of the mediodorsal thalamus (MD). Using a pharmacogenetic approach to model MD hypofunction, we recently showed that decreasing MD activity impairs reversal learning in mice. While this demonstrates causality between MD hypofunction and cognitive inflexibility, questions remain about the elementary cognitive processes that account for the deficit. Using the Designer Receptors Exclusively Activated by Designer Drugs system, we reversibly decreased MD activity during behavioral tasks assessing elementary cognitive processes inherent to flexible goal-directed behaviors, including extinction, contingency degradation, outcome devaluation, and Pavlovian-to-instrumental transfer (n = 134 mice). While MD hypofunction impaired reversal learning, it did not affect the ability to learn about nonrewarded cues or the ability to modulate action selection based on the outcome value. In contrast, decreasing MD activity delayed the ability to adapt to changes in the contingency between actions and their outcomes. In addition, while Pavlovian learning was not affected by MD hypofunction, decreasing MD activity during Pavlovian learning impaired the ability of conditioned stimuli to modulate instrumental behavior. Mediodorsal thalamus hypofunction causes cognitive inflexibility reflected by an impaired ability to adapt actions when their consequences change. Furthermore, it alters the encoding of environmental stimuli so that they cannot be properly utilized to guide behavior. Modulating MD activity could be a potential therapeutic strategy for promoting adaptive behavior in human subjects with cognitive inflexibility. Copyright © 2015 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.
Chronic pain impairs cognitive flexibility and engages novel learning strategies in rats.
Cowen, Stephen L; Phelps, Caroline E; Navratilova, Edita; McKinzie, David L; Okun, Alec; Husain, Omar; Gleason, Scott D; Witkin, Jeffrey M; Porreca, Frank
2018-03-22
Cognitive flexibility, the ability to adapt behavior to changing outcomes, is critical for survival. The prefrontal cortex is a key site of cognitive control and chronic pain is known to lead to significant morphological changes to this brain region. Nevertheless, the effects of chronic pain on cognitive flexibility and learning remain uncertain. We used an instrumental paradigm to assess adaptive learning in an experimental model of chronic pain induced by tight ligation of the spinal nerves L5/6 (SNL model). Naïve, sham-operated, and SNL rats were trained to perform fixed-ratio, variable-ratio, and contingency-shift behaviors for food reward. Although all groups learned an initial lever-reward contingency, learning was slower in SNL animals in a subsequent choice task that reversed reinforcement contingencies. Temporal analysis of lever-press responses across sessions indicated no apparent deficits in memory consolidation or retrieval. However, analysis of learning within sessions revealed that the lever presses of SNL animals occurred in bursts followed by delays. Unexpectedly, the degree of bursting correlated positively with learning. Under a variable-ratio probabilistic task, SNL rats chose a less profitable behavioral strategy compared to naïve and sham-operated animals. Following extinction of behavior for learned preferences, SNL animals reverted to their initially preferred (i.e., less profitable) behavioral choice. Our data suggest, that in the face of uncertainty, chronic pain drives a preference for familiar associations, consistent with reduced cognitive flexibility. The observed burst-like responding may represent a novel learning strategy in animals with chronic pain.
da Silva Gusmão Cardoso, Thiago; Pompéia, Sabine; Miranda, Mônica Carolina
2018-06-01
Obstructive sleep apnea syndrome (OSA) is a common respiratory sleep disorder in children that is believed to adversely affect both quality of life and cognition. The purpose of the present systematic review was to obtain evidence of the impact of OSA on children's cognitive/behavioral abilities from primary studies published in MEDLINE/PubMed, LILACS, SciELO, ISI Web of Science, and PsycINFO databases from 2002 to 2016. Of the 649 articles found, only 34 met the eligibility criteria: studies that evaluated cognition, behavior, and/or academic achievement of children meeting clinical criteria for OSA to compare their data to those of healthy controls or normative data, provided that the samples did not present conditions that might affect cognition/behavior irrespective of OSA. The few selected articles with low risk of bias (levels of evidence I and II) showed that OSA children's intellectual abilities may be impaired but remain within the normal range. Which specific cognitive ability drives this impairment is unclear, as there was insufficient evidence of deficits in language, memory, attention, executive functions, and academic performance, due to low levels of evidence, conflicting findings, and/or heterogeneity of tasks and cognitive abilities tapped by the measures used to assess these domains. To determine why this is so, future studies must test OSA patients using measures that allow for fractionated higher- and lower-order cognitive abilities based on accepted cognitive neuropsychology models. Copyright © 2018 Elsevier B.V. All rights reserved.
Hellyer, Peter J; Scott, Gregory; Shanahan, Murray; Sharp, David J; Leech, Robert
2015-06-17
Current theory proposes that healthy neural dynamics operate in a metastable regime, where brain regions interact to simultaneously maximize integration and segregation. Metastability may confer important behavioral properties, such as cognitive flexibility. It is increasingly recognized that neural dynamics are constrained by the underlying structural connections between brain regions. An important challenge is, therefore, to relate structural connectivity, neural dynamics, and behavior. Traumatic brain injury (TBI) is a pre-eminent structural disconnection disorder whereby traumatic axonal injury damages large-scale connectivity, producing characteristic cognitive impairments, including slowed information processing speed and reduced cognitive flexibility, that may be a result of disrupted metastable dynamics. Therefore, TBI provides an experimental and theoretical model to examine how metastable dynamics relate to structural connectivity and cognition. Here, we use complementary empirical and computational approaches to investigate how metastability arises from the healthy structural connectome and relates to cognitive performance. We found reduced metastability in large-scale neural dynamics after TBI, measured with resting-state functional MRI. This reduction in metastability was associated with damage to the connectome, measured using diffusion MRI. Furthermore, decreased metastability was associated with reduced cognitive flexibility and information processing. A computational model, defined by empirically derived connectivity data, demonstrates how behaviorally relevant changes in neural dynamics result from structural disconnection. Our findings suggest how metastable dynamics are important for normal brain function and contingent on the structure of the human connectome. Copyright © 2015 the authors 0270-6474/15/359050-14$15.00/0.
A Bayesian Formulation of Behavioral Control
ERIC Educational Resources Information Center
Huys, Quentin J. M.; Dayan, Peter
2009-01-01
Helplessness, a belief that the world is not subject to behavioral control, has long been central to our understanding of depression, and has influenced cognitive theories, animal models and behavioral treatments. However, despite its importance, there is no fully accepted definition of helplessness or behavioral control in psychology or…
Price, Matthew; Anderson, Page L
2011-02-01
Individuals with social anxiety are prone to engage in post event processing (PEP), a post mortem review of a social interaction that focuses on negative elements. The extent that PEP is impacted by cognitive behavioral therapy (CBT) and the relation between PEP and change during treatment has yet to be evaluated in a controlled study. The current study used multilevel modeling to determine if PEP decreased as a result of treatment and if PEP limits treatment response for two types of cognitive behavioral treatments, a group-based cognitive behavioral intervention and individually based virtual reality exposure. These hypotheses were evaluated using 91 participants diagnosed with social anxiety disorder. The findings suggested that PEP decreased as a result of treatment, and that social anxiety symptoms for individuals reporting greater levels of PEP improved at a slower rate than those with lower levels of PEP. Further research is needed to understand why PEP attenuates response to treatment. Copyright © 2010 Elsevier Ltd. All rights reserved.
Kleinstäuber, Maria; Witthöft, Michael; Hiller, Wolfgang
2012-09-01
The current meta-analysis investigates the efficacy of psychotherapeutic interventions and psychopharmacotherapy for premenstrual syndrome (PMS) and premenstrual dysphoric disorder. Based on a multiple-phase literature search, controlled trials were selected according to a priori defined inclusion criteria. Data were extracted on the basis of a standardized coding scheme. The standardized weighted mean difference (random effects model) was used as effect size index. Dependent on outcome, 22 included studies obtained small to medium effect sizes for cognitive-behavioral interventions (range: d(+) = 0.24-0.70) and for serotonergic antidepressants (range: d(+) = 0.29-0.58), at post-assessment. Follow-ups were performed only in studies of cognitive-behavioral interventions (range: d(+) = 0.46-0.74). There was no evidence of a publication bias. For both cognitive-behavioral interventions and serotonergic antidepressants, efficacy in treatment of PMS was found to not be satisfactory. Future research should possibly focus more on a combination of both approaches.
Price, Matthew; Anderson, Page L.
2011-01-01
Individuals with social anxiety are prone to engage in post event processing (PEP), a post mortem review of a social interaction that focuses on negative elements. The extent that PEP is impacted by cognitive behavioral therapy (CBT) and the relation between PEP and change during treatment has yet to be evaluated in a controlled study. The current study used multilevel modeling to determine if PEP decreased as a result of treatment and if PEP limits treatment response for two types of cognitive behavioral treatments, a group-based cognitive behavioral intervention and individually based virtual reality exposure. These hypotheses were evaluated using 91 participants diagnosed with social anxiety disorder. The findings suggested that PEP decreased as a result of treatment, and that social anxiety symptoms for individuals reporting greater levels of PEP improved at a slower rate than those with lower levels of PEP. Further research is needed to understand why PEP attenuates response to treatment. PMID:21159328
Lin, Bih-Jiau; Chiou, Wen-Bin
2010-06-01
English competency has become essential for obtaining a better job or succeeding in higher education in Taiwan. Thus, passing the General English Proficiency Test is important for college students in Taiwan. The current study applied Ajzen's theory of planned behavior and the notions of outcome expectancy and self-efficacy from Bandura's social cognitive theory to investigate college students' intentions to take the General English Proficiency Test. The formal sample consisted of 425 undergraduates (217 women, 208 men; M age = 19.5 yr., SD = 1.3). The theory of planned behavior showed greater predictive ability (R2 = 33%) of intention than the social cognitive theory (R2 = 7%) in regression analysis and made a unique contribution to prediction of actual test-taking behavior one year later in logistic regression. Within-model analyses indicated that subjective norm in theory of planned behavior and outcome expectancy in social cognitive theory are crucial factors in predicting intention. Implications for enhancing undergraduates' intentions to take the English proficiency test are discussed.
Pimental, Patricia A; O'Hara, John B; Jandak, Jessica L
2018-01-01
By virtue of their extensive knowledge base and specialized training in brain-behavior relationships, neuropsychologists are especially poised to execute a unique broad-based approach to overall cognitive wellness and should be viewed as primary care providers of cognitive health. This article will describe a novel comprehensive cognitive wellness service delivery model including cognitive health, anti-aging, lifelong wellness, and longevity-oriented practices. These practice areas include brain-based cognitive wellness, emotional and spiritually centric exploration, and related multimodality health interventions. As experts in mind-body connections, neuropsychologists can provide a variety of evidence-based treatment options, empowering patients with a sense of value and purpose. Multiple areas of clinical therapy skill-based learning, tailor-made to fit individual needs, will be discussed including: brain stimulating activities, restorative techniques, automatic negative thoughts and maladaptive thinking reduction, inflammation and pain management techniques, nutrition and culinary focused cognitive wellness, spirituality based practices and mindfulness, movement and exercise, alternative/complimentary therapies, relationship restoration/social engagement, and trauma healing/meaning. Cognitive health rests upon the foundation of counteracting mind-body connection disruptions from multiple etiologies including inflammation, chronic stress, metabolic issues, cardiac conditions, autoimmune disease, neurological disorders, infectious diseases, and allergy spectrum disorders. Superimposed on these issues are lifestyle patterns and negative health behaviors that develop as ill-fated compensatory mechanisms used to cope with life stressors and aging. The brain and body are electrical systems that can "short circuit." The therapy practices inherent in the proposed cognitive wellness service delivery model can provide preventative insulation and circuit breaking against the shock of illness.
eIF4E/Fmr1 double mutant mice display cognitive impairment in addition to ASD-like behaviors.
Huynh, Thu N; Shah, Manan; Koo, So Yeon; Faraud, Kirsten S; Santini, Emanuela; Klann, Eric
2015-11-01
Autism spectrum disorder (ASD) is a group of heritable disorders with complex and unclear etiology. Classic ASD symptoms include social interaction and communication deficits as well as restricted, repetitive behaviors. In addition, ASD is often comorbid with intellectual disability. Fragile X syndrome (FXS) is the leading genetic cause of ASD, and is the most commonly inherited form of intellectual disability. Several mouse models of ASD and FXS exist, however the intellectual disability observed in ASD patients is not well modeled in mice. Using the Fmr1 knockout mouse and the eIF4E transgenic mouse, two previously characterized mouse models of fragile X syndrome and ASD, respectively, we generated the eIF4E/Fmr1 double mutant mouse. Our study shows that the eIF4E/Fmr1 double mutant mice display classic ASD behaviors, as well as cognitive dysfunction. Importantly, the learning impairments displayed by the double mutant mice spanned multiple cognitive tasks. Moreover, the eIF4E/Fmr1 double mutant mice display increased levels of basal protein synthesis. The results of our study suggest that the eIF4E/Fmr1 double mutant mouse may be a reliable model to study cognitive dysfunction in the context of ASD. Copyright © 2015 Elsevier Inc. All rights reserved.
Salzer, Yael; de Hollander, Gilles; Forstmann, Birte U
2017-06-01
The Simon task is one of the most prominent interference tasks and has been extensively studied in experimental psychology and cognitive neuroscience. Despite years of research, the underlying mechanism driving the phenomenon and its temporal dynamics are still disputed. Within the framework of the review, we adopt a model-based cognitive neuroscience approach. We first go over key findings in the literature of the Simon task, discuss competing qualitative cognitive theories and the difficulty of testing them empirically. We then introduce sequential sampling models, a particular class of mathematical cognitive process models. Finally, we argue that the brain architecture accountable for the processing of spatial ('where') and non-spatial ('what') information, could constrain these models. We conclude that there is a clear need to bridge neural and behavioral measures, and that mathematical cognitive models may facilitate the construction of this bridge and work towards revealing the underlying mechanisms of the Simon effect. Copyright © 2017 Elsevier Ltd. All rights reserved.
The emergence of cognitive hearing science.
Arlinger, Stig; Lunner, Thomas; Lyxell, Björn; Pichora-Fuller, M Kathleen
2009-10-01
Cognitive Hearing Science or Auditory Cognitive Science is an emerging field of interdisciplinary research concerning the interactions between hearing and cognition. It follows a trend over the last half century for interdisciplinary fields to develop, beginning with Neuroscience, then Cognitive Science, then Cognitive Neuroscience, and then Cognitive Vision Science. A common theme is that an interdisciplinary approach is necessary to understand complex human behaviors, to develop technologies incorporating knowledge of these behaviors, and to find solutions for individuals with impairments that undermine typical behaviors. Accordingly, researchers in traditional academic disciplines, such as Psychology, Physiology, Linguistics, Philosophy, Anthropology, and Sociology benefit from collaborations with each other, and with researchers in Computer Science and Engineering working on the design of technologies, and with health professionals working with individuals who have impairments. The factors that triggered the emergence of Cognitive Hearing Science include the maturation of the component disciplines of Hearing Science and Cognitive Science, new opportunities to use complex digital signal-processing to design technologies suited to performance in challenging everyday environments, and increasing social imperatives to help people whose communication problems span hearing and cognition. Cognitive Hearing Science is illustrated in research on three general topics: (1) language processing in challenging listening conditions; (2) use of auditory communication technologies or the visual modality to boost performance; (3) changes in performance with development, aging, and rehabilitative training. Future directions for modeling and the translation of research into practice are suggested.
Testing adaptive toolbox models: a Bayesian hierarchical approach.
Scheibehenne, Benjamin; Rieskamp, Jörg; Wagenmakers, Eric-Jan
2013-01-01
Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox framework. How can a toolbox model be quantitatively specified? How can the number of toolbox strategies be limited to prevent uncontrolled strategy sprawl? How can a toolbox model be formally tested against alternative theories? The authors show how these challenges can be met by using Bayesian inference techniques. By means of parameter recovery simulations and the analysis of empirical data across a variety of domains (i.e., judgment and decision making, children's cognitive development, function learning, and perceptual categorization), the authors illustrate how Bayesian inference techniques allow toolbox models to be quantitatively specified, strategy sprawl to be contained, and toolbox models to be rigorously tested against competing theories. The authors demonstrate that their approach applies at the individual level but can also be generalized to the group level with hierarchical Bayesian procedures. The suggested Bayesian inference techniques represent a theoretical and methodological advancement for toolbox theories of cognition and behavior.
McElroy, Erika M; Rodriguez, Christina M
2008-08-01
Utilizing the conceptual framework of the Social Information Processing (SIP) model (Milner, 1993, 2000), associations between cognitive risk factors and child physical abuse risk and maladaptive discipline style and practices were examined in an at-risk population. Seventy-three mothers of 5-12-year-old children, who were identified by their therapist as having an externalizing behavior problem, responded to self-report measures pertaining to cognitive risk factors (empathic perspective taking, frustration tolerance, developmental expectations, parenting locus of control), abuse risk, and discipline style and practices. The Child Behavior Checklist (CBCL) provided a confirmation of the child's externalizing behaviors independent of the therapist's assessment. The results of this study suggest several cognitive risk factors significantly predict risk of parental aggression toward children. A parent's ability to empathize and take the perspective of their child, parental locus of control, and parental level of frustration tolerance were significant predictors of abuse potential (accounting for 63% of the variance) and inappropriate discipline practices (accounting for 55% of the variance). Findings of the present study provide support for processes theorized in the SIP model. Specifically, results underscore the potential role of parents' frustration tolerance, developmental expectations, locus of control, and empathy as predictive of abuse potential and disciplinary style in an at-risk sample.
ERIC Educational Resources Information Center
Yi, Yeon-Sook
2017-01-01
The present study examines the relative importance of attributes within and across items by applying four cognitive diagnostic assessment models. The current study utilizes the function of the models that can indicate inter-attribute relationships that reflect the response behaviors of examinees to analyze scored test-taker responses to four forms…
Cognitive and Behavioral Resilience Among Young Gay and Bisexual Men Living with HIV.
Hussen, Sophia A; Harper, Gary W; Rodgers, Caryn R R; van den Berg, Jacob J; Dowshen, Nadia; Hightow-Weidman, Lisa B
2017-08-01
HIV/AIDS disproportionately affects young gay, bisexual, and other men who have sex with men (Y-GBMSM). Resilience remains understudied among Y-GBMSM living with HIV, but represents a potentially important framework for improving HIV-related outcomes in this population. We sought to explore cognitive and behavioral dimensions of resilience and their correlates among Y-GBMSM to gain insights to inform future interventions. Our study sample consisted of 200 Y-GBMSM living with HIV enrolled in a multisite study of the Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN). Participants completed a one-time, self-administered structured questionnaire, including validated scales capturing a range of cognitive, behavioral, demographic, and psychosocial data. Utilizing these data, we examined cognitive and behavioral dimensions of resilience and their potential psychosocial correlates using linear regression modeling. Multiple regression analyses demonstrated that education, stigma, social support, ethnic identity, internalized homonegativity, and behavioral resilience were statistically significant predictors of cognitive resilience (P < 0.001, R 2 = 0.678). Social support satisfaction and cognitive resilience were significant predictors of behavioral resilience (P < 0.001, R 2 = 0.141). Our findings point to potential strategies for incorporating resilience-promoting features into future interventions to support Y-GBMSM living with HIV. Specifically, strengths-based interventions in this population should seek to enhance social support, promote positive identity development, and encourage education. Future research can also seek to utilize and refine our measures of resilience among youth.
An integrated brain-behavior model for working memory.
Moser, D A; Doucet, G E; Ing, A; Dima, D; Schumann, G; Bilder, R M; Frangou, S
2017-12-05
Working memory (WM) is a central construct in cognitive neuroscience because it comprises mechanisms of active information maintenance and cognitive control that underpin most complex cognitive behavior. Individual variation in WM has been associated with multiple behavioral and health features including demographic characteristics, cognitive and physical traits and lifestyle choices. In this context, we used sparse canonical correlation analyses (sCCAs) to determine the covariation between brain imaging metrics of WM-network activation and connectivity and nonimaging measures relating to sensorimotor processing, affective and nonaffective cognition, mental health and personality, physical health and lifestyle choices derived from 823 healthy participants derived from the Human Connectome Project. We conducted sCCAs at two levels: a global level, testing the overall association between the entire imaging and behavioral-health data sets; and a modular level, testing associations between subsets of the two data sets. The behavioral-health and neuroimaging data sets showed significant interdependency. Variables with positive correlation to the neuroimaging variate represented higher physical endurance and fluid intelligence as well as better function in multiple higher-order cognitive domains. Negatively correlated variables represented indicators of suboptimal cardiovascular and metabolic control and lifestyle choices such as alcohol and nicotine use. These results underscore the importance of accounting for behavioral-health factors in neuroimaging studies of WM and provide a neuroscience-informed framework for personalized and public health interventions to promote and maintain the integrity of the WM network.Molecular Psychiatry advance online publication, 5 December 2017; doi:10.1038/mp.2017.247.
Fontaine, Reid Griffith; Dodge, Kenneth A.
2009-01-01
Considerable scientific and intervention attention has been paid to judgment and decision-making systems associated with aggressive behavior in youth. However, most empirical studies have investigated social-cognitive correlates of stable child and adolescent aggressiveness, and less is known about real-time decision making to engage in aggressive behavior. A model of real-time decision making must incorporate both impulsive actions and rational thought. The present paper advances a process model (response evaluation and decision; RED) of real-time behavioral judgments and decision making in aggressive youths with mathematic representations that may be used to quantify response strength. These components are a heuristic to describe decision making, though it is doubtful that individuals always mentally complete these steps. RED represents an organization of social–cognitive operations believed to be active during the response decision step of social information processing. The model posits that RED processes can be circumvented through impulsive responding. This article provides a description and integration of thoughtful, rational decision making and nonrational impulsivity in aggressive behavioral interactions. PMID:20802851
Fontaine, Reid Griffith; Dodge, Kenneth A
2006-11-01
Considerable scientific and intervention attention has been paid to judgment and decision-making systems associated with aggressive behavior in youth. However, most empirical studies have investigated social-cognitive correlates of stable child and adolescent aggressiveness, and less is known about real-time decision making to engage in aggressive behavior. A model of real-time decision making must incorporate both impulsive actions and rational thought. The present paper advances a process model (response evaluation and decision; RED) of real-time behavioral judgments and decision making in aggressive youths with mathematic representations that may be used to quantify response strength. These components are a heuristic to describe decision making, though it is doubtful that individuals always mentally complete these steps. RED represents an organization of social-cognitive operations believed to be active during the response decision step of social information processing. The model posits that RED processes can be circumvented through impulsive responding. This article provides a description and integration of thoughtful, rational decision making and nonrational impulsivity in aggressive behavioral interactions.
[Acceptance and mindfulness-based cognitive-behavioral therapies].
Ngô, Thanh-Lan
2013-01-01
Cognitive behavioral therapy (CBT) is one of the main approaches in psychotherapy. It teaches the patient to examine the link between dysfunctional thoughts and maladaptive behaviors and to re- evaluate the cognitive biases involved in the maintenance of symptoms by using strategies such as guided discovery. CBT is constantly evolving in part to improve its' effectiveness and accessibility. Thus in the last decade, increasingly popular approaches based on mindfulness and acceptance have emerged. These therapies do not attempt to modify cognitions even when they are biased and dysfunctional but rather seek a change in the relationship between the individual and the symptoms. This article aims to present the historical context that has allowed the emergence of this trend, the points of convergence and divergence with traditional CBT as well as a brief presentation of the different therapies based on mindfulness meditation and acceptance. Hayes (2004) described three successive waves in behavior therapy, each characterized by "dominant assumptions, methods and goals": traditional behavior therapy, cognitive therapy and therapies based on mindfulness meditation and acceptance. The latter consider that human suffering occurs when the individual lives a restricted life in order avoid pain and immediate discomfort to the detriment of his global wellbeing. These therapies combine mindfulness, experiential, acceptance strategies with traditional behavior principles in order to attain lasting results. There are significant points of convergence between traditional CBT and therapies based on mindfulness meditation and acceptance. They are both empirically validated, based upon a theoretical model postulating that avoidance is key in the maintenance of psychopathology and they recommend an approach strategy in order to overcome the identified problem. They both use behavioral techniques in the context of a collaborative relationship in order to identify precise problems and to achieve specific goals. They focus on the present moment rather than on historical causes. However, they also present significant differences: control vs acceptance of thoughts, focus on cognition vs behavior, focus on the relationship between the individual and his thoughts vs cognitive content, goal of modifying dysfunctional beliefs vs metacognitive processes, use of experiential vs didactic methods, focus on symptoms vs quality of life, strategies used before vs after the unfolding of full emotional response. The main interventions based on mindfulness meditation and acceptance are: Acceptance and Commitment Therapy, Functional Analytic Therapy, the expanded model of Behavioral Activation, Metacognitive Therapy, Mindfulness based Cognitive Therapy, Dialectic Behavior Therapy, Integrative Behavioral Couples Therapy and Compassionate Mind Training. These are described in this article. They offer concepts and techniques which might enhance therapeutic efficacy. They teach a new way to deploy attention and to enter into a relationship with current experience (for example, defusion) in order to diminish cognitive reactivity, a maintenance factor for psychopathology, and to enhance psychological flexibility. The focus on cognitive process, metacognition as well as cognitive content might yield additional benefits in therapy. It is possible to combine traditional CBT with third wave approaches by using psychoeducation and cognitive restructuring in the beginning phases of therapy in order to establish thought bias and to then encourage acceptance of internal experiences as well as exposure to feared stimuli rather than to continue to use cognitive restructuring techniques. Traditional CBT and third wave approaches seem to impact different processes: the former enhance the capacity to observe and describe experiences and the latter diminish experiential avoidance and increase conscious action as well as acceptance. The identification of personal values helps to motivate the individual to undertake actions required in order to enhance quality of life. In the case of chronic illness, it diminishes suffering by increasing acceptance. Although the evidence base supporting the efficacy of third wave approaches is less robust than in the case of traditional cognitive or behavior therapy, therapies based on mindfulness meditation and acceptance are promising interventions that might help to elucidate change process and offer complementary strategies in order to help patients.
Cognitive science contributions to decision science.
Busemeyer, Jerome R
2015-02-01
This article briefly reviews the history and interplay between decision theory, behavioral decision-making research, and cognitive psychology. The review reveals the increasingly important impact that psychology and cognitive science have on decision science. One of the main contributions of cognitive science to decision science is the development of dynamic models that describe the cognitive processes that underlay the evolution of preferences during deliberation phase of making a decision. Copyright © 2014 Elsevier B.V. All rights reserved.
Kofler, Michael J.; Larsen, Ross; Sarver, Dustin E.; Tolan, Patrick H.
2015-01-01
Middle school is a critical yet understudied period of social behavioral risks and opportunities that may be particularly difficult for emerging adolescents with ADHD given their childhood social difficulties. Although childhood ADHD has been associated with increased aggression and peer relational difficulties, relatively few ADHD studies have examined social behavior beyond the elementary years, or examined aspects of positive (prosocial) behavior. In addition, social-cognitive problem solving has been implicated in ADHD; however, its longitudinal impact on prosocial and aggressive behavior is unclear. The current study examined how middle school students with clinically elevated ADHD symptoms differ from their non-ADHD peers on baseline (sixth grade) and age-related changes in prosocial and aggressive behavior, and the extent to which social-cognitive problem solving strategies mediate these relations. Emerging adolescents with (n = 178) and without (n = 3,806) clinically elevated, teacher-reported ADHD inattentive and hyperactive/impulsive symptoms were compared longitudinally across sixth through eighth grades using parallel process latent growth curve modeling, accounting for student demographic characteristics, ODD symptoms, deviant peer association, school climate, and parental monitoring. Sixth graders with elevated ADHD symptoms engaged in somewhat fewer prosocial behaviors (d= −0.44) and more aggressive behavior (d= 0.20) relative to their peers. These small social behavioral deficits decreased but were not normalized across the middle school years. Contrary to hypotheses, social-cognitive problem solving was not impaired in the ADHD group, and did not mediate the association between ADHD and social behavior during the middle school years. ADHD and social-cognitive problem solving contributed independently to social behavior, both in sixth grade and across the middle school years; the influence of social-cognitive problem solving on social behavior was highly similar for the ADHD and non-ADHD groups. PMID:26595479
Militello, Lisa K; Melnyk, Bernadette Mazurek; Hekler, Eric; Small, Leigh; Jacobson, Diana
2016-01-01
Significant gaps exist in the published literature regarding the treatment of overweight/obesity in preschool-aged children, especially in primary care settings. Parental influence plays an important factor in the development of healthy behaviors in children, yet there is no consensus about why some behavior change intervention strategies for parents of young children are more influential and effective than others. The purpose of this secondary data analysis was to assess correlations among the study variables (healthy lifestyle beliefs, perceived difficulty, and healthy lifestyle behaviors) in parents of overweight/obese preschool children. A second aim explored if the parent's level of cognitive beliefs and perceived difficulty of engaging in healthy lifestyle behaviors correlated with text messaging cognitive behavioral support. Fifteen preschool-parent dyads from primary care clinics completed a 7-week cognitive behavioral skills building intervention. Beck's Cognitive Theory guided the intervention content, and Fogg's Behavior Model guided the implementation. The intervention was delivered using a combination of face-to-face clinic visits and ecological momentary interventions using text messaging. Supported are the interconnected relationships among the study variables, that is, parental healthy lifestyle beliefs, thoughts, and behaviors. At baseline, parental healthy lifestyle belief scores significantly correlated with perceived difficulty (rs = 0.598, p < .05) and healthy lifestyle behaviors (rs = 0.545, p < .05). These associations strengthened after the intervention. Furthermore, as parental healthy lifestyle beliefs increased and perceived difficulty lessened, their response rate and subsequent feedback lessened to the static text messaging support. Findings from this study support the interconnections between parents' thoughts, feelings, and actions toward healthy lifestyles. As parental beliefs became stronger through cognitive behavioral skills building and tailored text messaging, the need for general support via text messaging lessened, warranting additional research. Published by Elsevier Inc.
Kanani, Safieh; Allahverdipour, Hamid; AsghariJafarabadi, Mohammad
2015-01-01
Background: The Behavioral Intention Model is one of the best and most widely models used regarding attitude of behavioral of pregnancy and decrease the rate of cesarean section (CS) among pregnant women, except effect of attitude and subjective norms on behavioral intention. Two variables of self-efficacy, and outcome expectation, relate to individual’s behavior in an upcoming situation, and both of them are important at the development of behavior. The purpose of the present study was to develop a model to explain women’s inten-tion to choose natural vaginal delivery (NVD). The variables of self-efficacy and outcome expectations, derived from Bandura’s Social Cognitive Theory, and Behavioral Intention Model constructs were used to define the model. Methods: The study was descriptive and cross-sectional in nature and took place in Pars Abad, Iran in 2014. The non-probability sample consisted of 200 pregnant women who voluntarily participated in the study and provided the data. SPSS 21 and MPLUS 6.8 were employed to analyze the data. Results: Self-efficacy, outcome expectations, and attitude toward NVD were associated with intention to choose the NVD. Conclusion: The study findings may play a role in designing educational interventions aimed at influencing the NVD and improving childbirth programs. PMID:26000243
ERIC Educational Resources Information Center
Ridenour, Ty A.; Caldwell, Linda L.; Coatsworth, J. Douglas; Gold, Melanie A.
2011-01-01
Problem behavior theory posits that tolerance of deviance is an antecedent to antisocial behavior and substance use. In contrast, cognitive dissonance theory implies that acceptability of a behavior may increase after experiencing the behavior. Using structural equation modeling, this investigation tested whether changes in tolerance of deviance…
McMahon, Susan D; Todd, Nathan R; Martinez, Andrew; Coker, Crystal; Sheu, Ching-Fan; Washburn, Jason; Shah, Seema
2013-06-01
We use longitudinal multilevel modeling to test how exposure to community violence and cognitive and behavioral factors contribute to the development of aggressive and prosocial behaviors. Specifically, we examine predictors of self-, peer-, and teacher-reported aggressive and prosocial behavior among 266 urban, African American early adolescents. We examine lagged, within-person, between-person, and protective effects across 2 years. In general, results suggest that higher levels of violence exposure and aggressive beliefs are associated with more aggressive and less prosocial peer-reported behavior, whereas greater self-efficacy to resolve conflict peacefully is associated with less aggression across reporters and more teacher-reported prosocial behavior. Greater knowledge and violence prevention skills are associated with fewer aggressive and more prosocial teacher-reported behaviors. Results also suggest that greater self-efficacy and lower impulsivity have protective effects for youth reporting higher levels of exposure to community violence, in terms of teacher-reported aggressive behavior and peer-reported prosocial behavior. Differences among reporters and models are discussed, as well as implications for intervention.
A cognitive approach to classifying perceived behaviors
NASA Astrophysics Data System (ADS)
Benjamin, Dale Paul; Lyons, Damian
2010-04-01
This paper describes our work on integrating distributed, concurrent control in a cognitive architecture, and using it to classify perceived behaviors. We are implementing the Robot Schemas (RS) language in Soar. RS is a CSP-type programming language for robotics that controls a hierarchy of concurrently executing schemas. The behavior of every RS schema is defined using port automata. This provides precision to the semantics and also a constructive means of reasoning about the behavior and meaning of schemas. Our implementation uses Soar operators to build, instantiate and connect port automata as needed. Our approach is to use comprehension through generation (similar to NLSoar) to search for ways to construct port automata that model perceived behaviors. The generality of RS permits us to model dynamic, concurrent behaviors. A virtual world (Ogre) is used to test the accuracy of these automata. Soar's chunking mechanism is used to generalize and save these automata. In this way, the robot learns to recognize new behaviors.
Dodich, Alessandra; Cerami, Chiara; Cappa, Stefano F; Marcone, Alessandra; Golzi, Valeria; Zamboni, Michele; Giusti, Maria Cristina; Iannaccone, Sandro
2018-01-01
Current diagnostic criteria for behavioral variant of frontotemporal dementia (bvFTD) and typical Alzheimer's disease (AD) include a differential pattern of neuropsychological impairments (episodic memory deficit in typical AD and dysexecutive syndrome in bvFTD). There is, however, large evidence of a frequent overlap in neuropsychological features, making the differential diagnosis extremely difficult. In this retrospective study, we evaluated the diagnostic value of different cognitive and neurobehavioral markers in bvFTD and AD patient groups. We included 95 dementia patients with a clinical and biomarker evidence of bvFTD (n = 48) or typical AD (n = 47) pathology. A clinical 2-year follow-up confirmed clinical classification. Performances at basic cognitive tasks (memory, executive functions, visuo-spatial, language) as well as social cognition skills and neurobehavioral profiles have been recorded. A stepwise logistic regression model compared the neuropsychological profiles between groups and assessed the accuracy of cognitive and neurobehavioral markers in discriminating bvFTD from AD. Statistical comparison between patient groups proved social cognition and episodic memory impairments as main cognitive signatures of bvFTD and AD neuropsychological profiles, respectively. Only half of bvFTD patients showed attentive/executive deficits, questioning their role as cognitive marker of bvFTD. Notably, the large majority of bvFTD sample (i.e., 70%) poorly performed at delayed recall tasks. Logistic regression analysis identified social cognition performances, Frontal Behavioral Inventory and Mini-Mental State Examination scores as the best combination in distinguishing bvFTD from AD. Social cognition tasks and socio-behavioral questionnaires are recommended in clinical settings to improve the accuracy of early diagnosis of bvFTD.
THE IMPACT OF RACISM ON CLINICIAN COGNITION, BEHAVIOR, AND CLINICAL DECISION MAKING
van Ryn, Michelle; Burgess, Diana J.; Dovidio, John F.; Phelan, Sean M.; Saha, Somnath; Malat, Jennifer; Griffin, Joan M.; Fu, Steven S.; Perry, Sylvia
2014-01-01
Over the past two decades, thousands of studies have demonstrated that Blacks receive lower quality medical care than Whites, independent of disease status, setting, insurance, and other clinically relevant factors. Despite this, there has been little progress towards eradicating these inequities. Almost a decade ago we proposed a conceptual model identifying mechanisms through which clinicians’ behavior, cognition, and decision making might be influenced by implicit racial biases and explicit racial stereotypes, and thereby contribute to racial inequities in care. Empirical evidence has supported many of these hypothesized mechanisms, demonstrating that White medical care clinicians: (1) hold negative implicit racial biases and explicit racial stereotypes, (2) have implicit racial biases that persist independently of and in contrast to their explicit (conscious) racial attitudes, and (3) can be influenced by racial bias in their clinical decision making and behavior during encounters with Black patients. This paper applies evidence from several disciplines to further specify our original model and elaborate on the ways racism can interact with cognitive biases to affect clinicians’ behavior and decisions and in turn, patient behavior and decisions. We then highlight avenues for intervention and make specific recommendations to medical care and grant-making organizations. PMID:24761152
On the specificity of face cognition compared with general cognitive functioning across adult age.
Hildebrandt, Andrea; Wilhelm, Oliver; Schmiedek, Florian; Herzmann, Grit; Sommer, Werner
2011-09-01
Face cognition is considered a specific human ability, clearly differentiable from general cognitive functioning. Its specificity is primarily supported by cognitive-experimental and neuroimaging research, but recently also from an individual differences perspective. However, no comprehensive behavioral data are available, which would allow estimating lifespan changes of the covariance structure of face-cognition abilities and general cognitive functioning as well as age-differences in face cognition after accounting for interindividual variability in general cognition. The present study aimed to fill this gap. In an age-heterogeneous (18-82 years) sample of 448 adults, we found no factorial dedifferentiation between face cognition and general cognition. Age-related differences in face memory were still salient after taking into account changes in general cognitive functioning. Face cognition thus remains a specific human ability compared with general cognition, even until old age. We discuss implications for models of cognitive aging and suggest that it is necessary to include more explicitly special social abilities in those models.
Altered behavior in experimental cortical dysplasia.
Zhou, Fu-Wen; Rani, Asha; Martinez-Diaz, Hildabelis; Foster, Thomas C; Roper, Steven N
2011-12-01
Developmental delay and cognitive impairment are common comorbidities in people with epilepsy associated with malformations of cortical development (MCDs). We studied cognition and behavior in an animal model of diffuse cortical dysplasia (CD), in utero irradiation, using a battery of behavioral tests for neuromuscular and cognitive function. Fetal rats were exposed to 2.25 Gy external radiation on embryonic day 17 (E17). At 1 month of age they were tested using an open field task, a grip strength task, a grid walk task, inhibitory avoidance, an object recognition task, and the Morris water maze task. Rats with CD showed reduced nonlocomotor activity in the open field task and impaired motor coordination for grid walking but normal grip strength. They showed a reduced tendency to recognize novel objects and reduced retention in an inhibitory avoidance task. Water maze testing showed that learning and memory were impaired in irradiated rats for both cue discrimination and spatially oriented tasks. These results demonstrate significant deficits in cortex- and hippocampus-dependent cognitive functions associated with the diffuse abnormalities of cortical and hippocampal development that have been documented in this model. This study documents multimodal cognitive deficits associated with CD and can serve as the foundation for future investigations into the mechanisms of and possible therapeutic interventions for this problem. Wiley Periodicals, Inc. © 2011 International League Against Epilepsy.
ERIC Educational Resources Information Center
Mello, Susan; Hovick, Shelly R.
2016-01-01
There is a growing body of evidence linking childhood exposure to environmental toxins and a range of adverse health outcomes, including preterm birth, cognitive deficits, and cancer. Little is known, however, about what drives mothers to engage in health behaviors to reduce such risks. Guided by the integrative model of behavioral prediction,…
Stefanko, D P; Shah, V D; Yamasaki, W K; Petzinger, G M; Jakowec, M W
2017-09-01
Depression, cognitive impairments, and other neuropsychiatric disturbances are common during the prodromal phase of Huntington's disease (HD) well before the onset of classical motor symptoms of this degenerative disorder. The purpose of this study was to examine the potential impact of physical activity in the form of exercise on a motorized treadmill on non-motor behavioral features including depression-like behavior and cognition in the CAG 140 knock-in (KI) mouse model of HD. The CAG 140 KI mouse model has a long lifespan compared to other HD rodent models with HD motor deficits emerging after 12months of age and thus provides the opportunity to investigate early life interventions such as exercise on disease progression. Motorized treadmill running was initiated at 4weeks of age (1h per session, 3 times per week) and continued for 6months. Non-motor behaviors were assessed up to 6months of age and included analysis of depression-like behavior (using the tail-suspension and forced-swim tests) and cognition (using the T-maze and object recognition tests). At both 4 and 6months of age, CAG 140 KI mice displayed significant depression-like behavior in the forced swim and tail suspension tests and cognitive impairment by deficits in reversal relearning in the T-maze test. These deficits were not evident in mice engaged in treadmill running. In addition, exercise restored striatal dopamine D2 receptor expression and dopamine neurotransmitter levels both reduced in sedentary HD mice. Finally, we examined the pattern of striatal expression of mutant huntingtin (mHTT) protein and showed that the number and intensity of immunohistochemical staining patterns of intranuclear aggregates were significantly reduced with exercise. Altogether these findings begin to address the potential impact of lifestyle and early intervention such as exercise on modifying HD progression. Copyright © 2017 Elsevier Inc. All rights reserved.
Ma, Ning; Yu, Angela J
2015-01-01
Response time (RT) is an oft-reported behavioral measure in psychological and neurocognitive experiments, but the high level of observed trial-to-trial variability in this measure has often limited its usefulness. Here, we combine computational modeling and psychophysics to examine the hypothesis that fluctuations in this noisy measure reflect dynamic computations in human statistical learning and corresponding cognitive adjustments. We present data from the stop-signal task (SST), in which subjects respond to a go stimulus on each trial, unless instructed not to by a subsequent, infrequently presented stop signal. We model across-trial learning of stop signal frequency, P(stop), and stop-signal onset time, SSD (stop-signal delay), with a Bayesian hidden Markov model, and within-trial decision-making with an optimal stochastic control model. The combined model predicts that RT should increase with both expected P(stop) and SSD. The human behavioral data (n = 20) bear out this prediction, showing P(stop) and SSD both to be significant, independent predictors of RT, with P(stop) being a more prominent predictor in 75% of the subjects, and SSD being more prominent in the remaining 25%. The results demonstrate that humans indeed readily internalize environmental statistics and adjust their cognitive/behavioral strategy accordingly, and that subtle patterns in RT variability can serve as a valuable tool for validating models of statistical learning and decision-making. More broadly, the modeling tools presented in this work can be generalized to a large body of behavioral paradigms, in order to extract insights about cognitive and neural processing from apparently quite noisy behavioral measures. We also discuss how this behaviorally validated model can then be used to conduct model-based analysis of neural data, in order to help identify specific brain areas for representing and encoding key computational quantities in learning and decision-making.
Cognitive Modeling and Self-Regulation of Learning in Instructional Settings
ERIC Educational Resources Information Center
White, Marie C.
2017-01-01
Self-regulation of cognition and behavior is an important aspect of student learning and academic performance in the 21st-century classroom. The purpose of the chapter is to present how an integrated framework of cyclical phases and developmental levels of self-regulated learning play a significant role in modeling and self-regulatory learning as…
Aalsma, Matthew C.; Woodrome, Stacy E.; Downs, Sarah M.; Hensel, Devon; Zimet, Gregory D.; Orr, Don P.; Fortenberry, J. Dennis
2013-01-01
Understanding the role of socio-sexual cognitions and religiosity on adolescent sexual behavior could guide adolescent sexual health efforts. The present study utilized longitudinal data from 328 young women to assess the role of religion and socio-sexual cognitions on sexual behavior accrual (measuring both coital and non-coital sexual behavior). In the final triple conditional trajectory structural equation model, religiosity declined over time and then increased to baseline levels. Additionally, religiosity predicted decreased sexual conservatism and decreased sexual conservatism predicted increased sexual behavior. The final models are indicative of young women's increasing accrual of sexual experience, decreasing sexual conservatism and initial decreasing religiosity. The results of this study suggest that decreased religiosity affects the accrual of sexual experience through decreased sexual conservatism. Effective strategies of sexual health promotion should include an understanding of the complex role of socio-sexual attitudes with religiosity. PMID:24215966
Boehm, Udo; Steingroever, Helen; Wagenmakers, Eric-Jan
2018-06-01
An important tool in the advancement of cognitive science are quantitative models that represent different cognitive variables in terms of model parameters. To evaluate such models, their parameters are typically tested for relationships with behavioral and physiological variables that are thought to reflect specific cognitive processes. However, many models do not come equipped with the statistical framework needed to relate model parameters to covariates. Instead, researchers often revert to classifying participants into groups depending on their values on the covariates, and subsequently comparing the estimated model parameters between these groups. Here we develop a comprehensive solution to the covariate problem in the form of a Bayesian regression framework. Our framework can be easily added to existing cognitive models and allows researchers to quantify the evidential support for relationships between covariates and model parameters using Bayes factors. Moreover, we present a simulation study that demonstrates the superiority of the Bayesian regression framework to the conventional classification-based approach.
Association Between Perceived Physical Activity and Cognitive Function in Older Adults.
Loprinzi, Paul D; Frith, Emily
2018-01-01
There is irrefutable evidence that regular participation in physical activity is favorably associated with numerous positive health outcomes, including cognitive function. Emerging work suggests that perceived physical activity, independent of actual physical activity behavior, is inversely associated with mortality risk. In this study, we evaluate whether perceived physical activity, independent of actual physical activity, is associated with cognitive function, a robust indicator of mortality risk. Data from the cross-sectional 1999-2002 National Health and Nutrition Examination Survey were employed ( N = 2352; 60+ years of age). Actual physical activity was assessed via a validated survey. Perceived physical activity was assessed using the following question: "Compared with others of the same age, would you say that you are: more active, less active, or about the same?" Cognitive function was assessed from the Digit Symbol Substitution Test. When examined in separate models, both actual and perceived physical activity were positively and statistically significantly associated with cognitive function. However, when considered in the same model, actual physical activity was no longer statistically significantly associated with cognitive function, but perceived physical activity was. Perceived physical activity, independent of actual physical activity, is independently associated with cognitive function. If these findings are replicated, future work should consider evaluating perceived physical activity when examining the effects of actual physical activity behavior on cognitive function.
Cognitive Function | Science Inventory | US EPA
Because chemicals can adversely affect cognitive function in humans, considerable effort has been made to characterize their effects using animal models. Information from such models will be necessary to: evaluate whether chemicals identified as potentially neurotoxic by screening methods actually do affect cognitive function; identify and characterize the mechanisms or pathways by which effects at these targets lead to cognitive dysfunction; address issues of susceptibility and variability, which require understanding the compensations and interactions that only a whole organism can engage; and improve our understanding of the neurobiological underpinnings of cognitive function.This chapter has several purposes. First, it provides working definitions of cognitive functions, such as learning, memory and attention, in terms frequently used by behavioral toxicologists. It is important to have a common vocabulary to assess methods used in this area of research. Second, it presents an overview of some of the procedures commonly used in behavioral toxicology to assess the effects of chemicals on cognitive function in animals. It should be noted that this overview is not intended to be comprehensive or complete, but is intended to illustrate specific points by discussing examples. Finally, this chapter discusses some critical experimental and conceptual variables that are important for studies on chemical-induced cognitive dysfunction, and touches on the potential p
Cognitive Change Predicts Symptom Reduction with Cognitive Therapy for Posttraumatic Stress Disorder
ERIC Educational Resources Information Center
Kleim, Birgit; Grey, Nick; Wild, Jennifer; Nussbeck, Fridtjof W.; Stott, Richard; Hackmann, Ann; Clark, David M.; Ehlers, Anke
2013-01-01
Objective: There is a growing body of evidence for the effectiveness of trauma-focused cognitive behavior therapy (TF-CBT) for posttraumatic stress disorder (PTSD), but few studies to date have investigated the mechanisms by which TF-CBT leads to therapeutic change. Models of PTSD suggest that a core treatment mechanism is the change in…
Brain Evolution: The Origins of Social and Cognitive Behaviors.
ERIC Educational Resources Information Center
MacLean, Paul
1983-01-01
Argues that common anatomical and functional characteristics exist among the brains of reptiles, mammals, and man--the most significant commonality for educators being social behavior. Illustrates inherited behavior, including behavior observed in classroom and believed to be learned by placing it in context of a model "triune"…
Chan, Derwin King-Chung; Fung, Ying-Ki; Xing, Suxuan; Hagger, Martin S
2014-06-01
There has been little research examining the psychological antecedents of safety-oriented behavior aimed at reducing myopia risk. This study utilizes self-determination theory (SDT) and the theory of planned behavior (TPB) to understand the role of motivational and social-cognitive factors on individuals' near-work behavior. Adopting a prospective design, undergraduate students (n = 107) completed an initial questionnaire based on SDT in week 1, a second questionnaire containing measures of TPB variables in week 2, and objective measures of reading distance and visual acuity in week 6. The data were analyzed by variance-based structural equation modeling. The results showed that perceived autonomy support and autonomous motivation from SDT significantly predicted attitude, subjective norm, and perceived behavioral control from the TPB. These social-cognitive factors were significantly associated with intention and intention significantly predicted reading distance. The relationships in the model held when controlling for visual acuity. In conclusion, the integrated model of SDT and the TPB may help explain myopia-preventive behaviors.
Understanding cognition, choice, and behavior.
Corcoran, K J
1995-09-01
Bandura (1995) suggests that a "crusade against the causal efficacy of human thought" exists. The present paper disputes that claim, suggesting that the quest which does exist involves an understanding of self-efficacy. Examined are Bandura's shifting definitions of self-efficacy, his misunderstandings of others' work, and implications of some of his attempts to defend the construct. In the remainder of the paper Rotter's Social Learning Theory is discussed as a model of human choice behavior which recognizes the contributions of both cognitive and behavioral traditions within psychology, and has proven to be of great heuristic value.
Exploratory and problem-solving consumer behavior across the life span.
Lesser, J A; Kunkel, S R
1991-09-01
Different cognitive functioning, social, and personality changes appear to occur systematically during the adult life span. This article synthesizes research on life span changes in order to develop age-specific models of shopping behavior. The models are tested within a naturalistic field study of shoppers.
[Mental health from a cognitive-behavioral perspective].
Keegan, Eduardo
2012-01-01
This paper presents a succinct overview of the conception of mental health held by the cognitive-behavioral paradigm. For some of these models, human suffering is ubiquitious and largely unavoidable. Therefore, suffering cannot be linearly equated to pathology. Mental health implies acting towards achieving our valued goals, despite the negative emotions and thoughts that this may activate. The paper describes some cognitive and metacognitive phenomena characteristically associated to psychopathology, as well as some principles to establish the normalcy of both emotional experience and behavior. It establishes a difference between consultations motivated by mental disorders and those motivated by life crises and by a desire of achieving personal growth. Finally, the paper analyzes the conditions in which implementing treatment is desirable and necessary.
Termination in cognitive-behavioral therapy with children, adolescents, and parents.
Vidair, Hilary B; Feyijinmi, Grace O; Feindler, Eva L
2017-03-01
The process of terminating cognitive-behavioral therapy (CBT) with families has been largely neglected in the literature, with the limited research focused on premature termination. This article describes the natural termination process in CBT with children, adolescents, and their parents. Based on existing theories, we describe a cognitive-behavioral model for: (a) initiating and engaging in discussion of termination, (b) processing the termination of treatment and the therapeutic relationship, (c) key aspects of the termination process in the final session, and (d) the very end of the final session (saying goodbye). For each of the 4 components, we review relevant theories, provide clinical exchanges to demonstrate techniques, and provide related research support. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Measuring and analyzing the causes of problematic Internet use.
Chiang, I-Ping; Su, Yung-Hsiang
2012-11-01
Since Internet surfing became a daily activity, people have changed their behavior. This research analyzes the causes of problematic Internet use through an online survey, where 1,094 samples were collected. Based on the results of structural equation modeling analysis, the following conclusions are reached: First, novelty, security, and efficiency increase users' online trust. Second, information and efficiency enhance users' sharing and anonymity online. Third, greater trust in Internet environments leads to an increase in a user's cognitive bias toward online behavioral responsibility and Internet addiction. Fourth, a user's attitude toward online sharing further increases the cognitive bias toward online copyright. Fifth, a user's attitude toward anonymity increases cognitive bias toward online copyright, online behavioral responsibility, and deepens Internet addiction.
Influence of appearance-related TV commercials on body image state.
Legenbauer, Tanja; Rühl, Ilka; Vocks, Silja
2008-05-01
This study investigates the influence of media exposure on body image state in eating-disordered (ED) patients. The attitudinal and perceptual components of body image are assessed, as well as any associations with dysfunctional cognitions and behavioral consequences. Twenty-five ED patients and 25 non-ED controls (ND) viewed commercials either featuring appearance (AC; 5 min) or not featuring appearance (NC; 5 min). Both perceptual and attitudinal body image components changed markedly after the AC condition for ED patients, compared with the ND group and NC condition. Cognitions referring to dietary restraint and internalization/social comparison also changed significantly in ED patients depending on the experimental manipulation, whereas thoughts about body and self-esteem did not. The results suggest that media exposure acts as a stimulus that triggers body-related schemas. Partial support is given to cognitive-behavioral models of eating disorders, which postulate an association between cognitive bias, body image disturbances, and compensatory behavioral consequences.
A cognitive neuroscience perspective on psychopathy: evidence for paralimbic system dysfunction.
Kiehl, Kent A
2006-06-15
Psychopathy is a complex personality disorder that includes interpersonal and affective traits such as glibness, lack of empathy, guilt or remorse, shallow affect, and irresponsibility, and behavioral characteristics such as impulsivity, poor behavioral control, and promiscuity. Much is known about the assessment of psychopathy; however, relatively little is understood about the relevant brain disturbances. The present review integrates data from studies of behavioral and cognitive changes associated with focal brain lesions or insults and results from psychophysiology, cognitive psychology and cognitive and affective neuroscience in health and psychopathy. The review illustrates that the brain regions implicated in psychopathy include the orbital frontal cortex, insula, anterior and posterior cingulate, amygdala, parahippocampal gyrus, and anterior superior temporal gyrus. The relevant functional neuroanatomy of psychopathy thus includes limbic and paralimbic structures that may be collectively termed 'the paralimbic system'. The paralimbic system dysfunction model of psychopathy is discussed as it relates to the extant literature on psychopathy.
Cabrera, Natasha J; Fagan, Jay; Wight, Vanessa; Schadler, Cornelia
2011-01-01
The association among mothers', fathers', and infants' risk and cognitive and social behaviors at 24 months was examined using structual equation modeling and data on 4,200 on toddlers and their parents from the Early Childhood Longitudinal Study, Birth Cohort. There were 3 main findings. First, for cognitive outcomes, maternal risk was directly and indirectly linked to it through maternal sensitivity whereas paternal risk was only indirectly related through maternal sensitivity. Second, for social behaviors, maternal and paternal risks were indirectly linked through maternal sensitivity and father engagement. Third, maternal and paternal levels of risk were linked to maternal supportiveness whereas mothers' and children's risk were linked to paternal cognitive stimulation. Implications are that policy makers must take into account effects of mothers', children's, and fathers' risk on young children's functioning. © 2011 The Authors. Child Development © 2011 Society for Research in Child Development, Inc.
Trip, Simona; Bora, Carmen; Sipos-Gug, Sebastian; Tocai, Ioana; Gradinger, Petra; Yanagida, Takuya; Strohmeier, Dagmar
2015-10-01
The effectiveness of a class-based antibullying prevention program on cognitions, emotions, and behaviors was investigated. The program consists of a cognitive-behavioral (Rational Emotive Behavioral Education; REBE) and a behavioral (Viennese Social Competence; ViSC) component. The REBE program is based on rational emotive behavioral theory and contains 9 student lessons. The ViSC program is based on social learning theory and comprises 10 student lessons. The order of the programs was experimentally manipulated. The REBE-ViSC program was implemented in 5 schools (14 classes), the ViSC-REBE program was implemented in 3 schools (9 classes), and 3 schools (11 classes) served as an untreated control group. Data were collected during 1 school year at pretest, midpoint, and posttest. Emotions (overt and internalizing anger), cognitions (learning and entitlement), and behaviors (bullying perpetration and bullying victimization) were measured with self-assessments. To examine the effectiveness of the REBE-ViSC/ViSC-REBE program, multilevel growth models were applied (time points at Level 1, individuals at Level 2, and classes at Level 3). The analyses revealed that the program effects differed depending on the order of the programs. The REBE-ViSC condition was more effective in changing negative emotions than the ViSC-REBE condition; both experimental conditions were effective in reducing dysfunctional cognitions, whereas no behavioral change was found in the 2 experimental groups when compared with the control group. To improve program effectiveness regarding behavioral changes, a multilevel whole-school approach including a teacher component is recommended. (c) 2015 APA, all rights reserved).
The imbalanced brain: from normal behavior to schizophrenia.
Grossberg, S
2000-07-15
An outstanding problem in psychiatry concerns how to link discoveries about the pharmacological, neurophysiological, and neuroanatomical substrates of mental disorders to the abnormal behaviors that they control. A related problem concerns how to understand abnormal behaviors on a continuum with normal behaviors. During the past few decades, neural models have been developed of how normal cognitive and emotional processes learn from the environment, focus attention and act upon motivationally important events, and cope with unexpected events. When arousal or volitional signals in these models are suitably altered, they give rise to symptoms that strikingly resemble negative and positive symptoms of schizophrenia, including flat affect, impoverishment of will, attentional problems, loss of a theory of mind, thought derailment, hallucinations, and delusions. This article models how emotional centers of the brain, such as the amygdala, interact with sensory and prefrontal cortices (notably ventral, or orbital, prefrontal cortex) to generate affective states, attend to motivationally salient sensory events, and elicit motivated behaviors. Closing this feedback loop between cognitive and emotional centers is predicted to generate a cognitive-emotional resonance that can support conscious awareness. When such emotional centers become depressed, negative symptoms of schizophrenia emerge in the model. Such emotional centers are modeled as opponent affective processes, such as fear and relief, whose response amplitude and sensitivity are calibrated by an arousal level and chemical transmitters that slowly inactivate, or habituate, in an activity-dependent way. These opponent processes exhibit an Inverted-U, whereby behavior becomes depressed if the arousal level is chosen too large or too small. The negative symptoms are owing to the way in which the depressed opponent process interacts with other circuits throughout the brain.
Law, Emily F; Fisher, Emma; Howard, Waylon J; Levy, Rona; Ritterband, Lee; Palermo, Tonya M
2017-10-01
Theoretical models of pediatric chronic pain propose longitudinal associations between children's pain experiences and parent and family factors. A large body of cross-sectional research supports these models, demonstrating that greater parent distress and maladaptive parenting behaviors are associated with greater child disability. Family-based cognitive-behavioral therapy interventions have been developed for youth with chronic pain which aim to improve child disability and reduce maladaptive parenting behaviors. However, little is known about temporal, longitudinal associations between parent and child functioning in this population. In the present study, we conducted a secondary analysis of data from 138 families of youth with chronic pain aged 11 to 17 years old who received family-based cognitive-behavioral therapy delivered through the Internet as part of a randomized controlled trial. Measures of child disability, parent protective behavior, and parent distress were obtained at pretreatment, immediate posttreatment, 6-month follow-up, and 12-month follow-up. Latent growth modeling indicated that child disability, parent protective behavior, and parent distress improved with treatment over the 12-month study period. Latent growth modeling for parallel processes indicated that higher parent distress at pretreatment predicted less improvement in child disability over 12 months. No other predictive paths between parent and child functioning were significant. These findings indicate that parent distress may increase the risk of poor response to psychological pain treatment among youth with chronic pain. At present, parent distress is not routinely targeted in psychological interventions for pediatric chronic pain. Research is needed to determine optimal strategies for targeting parent and family factors in the treatment of pediatric chronic pain.
Modeling Users' Activity on Twitter Networks: Validation of Dunbar's Number
Gonçalves, Bruno; Perra, Nicola; Vespignani, Alessandro
2011-01-01
Microblogging and mobile devices appear to augment human social capabilities, which raises the question whether they remove cognitive or biological constraints on human communication. In this paper we analyze a dataset of Twitter conversations collected across six months involving 1.7 million individuals and test the theoretical cognitive limit on the number of stable social relationships known as Dunbar's number. We find that the data are in agreement with Dunbar's result; users can entertain a maximum of 100–200 stable relationships. Thus, the ‘economy of attention’ is limited in the online world by cognitive and biological constraints as predicted by Dunbar's theory. We propose a simple model for users' behavior that includes finite priority queuing and time resources that reproduces the observed social behavior. PMID:21826200
Cognitive Modeling for Agent-Based Simulation of Child Maltreatment
NASA Astrophysics Data System (ADS)
Hu, Xiaolin; Puddy, Richard
This paper extends previous work to develop cognitive modeling for agent-based simulation of child maltreatment (CM). The developed model is inspired from parental efficacy, parenting stress, and the theory of planned behavior. It provides an explanatory, process-oriented model of CM and incorporates causality relationship and feedback loops from different factors in the social ecology in order for simulating the dynamics of CM. We describe the model and present simulation results to demonstrate the features of this model.
An, Dong; Chen, Wei; Yu, De-Qin; Wang, Shi-Wei; Yu, Wei-Zhi; Xu, Hong; Wang, Dong-Mei; Zhao, Dan; Sun, Yi-Ping; Wu, Jun-Cheng; Tang, Yi-Yuan; Yin, Sheng-Ming
2017-05-01
Both Kunming (KM) mice and BALB/c mice have been widely used as rodent models to investigate stress-associated mental diseases. However, little is known about the different behaviors of KM mice and BALB/c mice after social isolation, particularly cognitive and aggressive behaviors. In this study, the behaviors of KM and BALB/c mice isolated for 2, 4 and 8 weeks and age-matched controls were evaluated using object recognition, object location and resident-intruder tests. The recovery of behavioral deficits by re-socialization was also examined for the isolated mice in adolescence. Our study showed that isolation for 2, 4 and 8 weeks led to cognitive deficits and increased aggressiveness for both KM and BALB/c mice. An important finding is that re-socialization could completely recover spatial/non-spatial cognitive deficits resulted from social isolation for both KM and BALB/c mice. In addition, age only impacted aggressiveness of KM mice. Moreover, isolation duration showed different impacts on cognitive and aggressive behaviors for both KM and BALB/c mice. Furthermore, BALB/c mice showed weak spatial/non-spatial memory and low aggressiveness when they were at the same age and isolation duration, compared to KM mice. In conclusion, KM mice and BALB/c mice behaved characteristically under physiology and isolation conditions. © 2016 Japanese Society of Animal Science.
Listening to hypochondriasis and hearing health anxiety.
Braddock, Autumn E; Abramowitz, Jonathan S
2006-09-01
Although hypochondriasis is categorized as a somatoform disorder in the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition--Text Revision (DSM-IV-TR) due to excessive focus on bodily symptoms for at least 6 months, a contemporary conceptualization suggests that hypochondriasis represents an intense form of health anxiety. This article discusses the clinical presentation of hypochondriasis, etiological underpinnings and multiple maintaining factors, including physiological, cognitive and behavioral components. A cognitive-behavioral model of hypochondriasis as health anxiety and the empirically supported treatment based on the model are articulated. Future directions and informational resources are provided for both clinicians and patients.
May, Philip A; Tabachnick, Barbara G; Gossage, J Phillip; Kalberg, Wendy O; Marais, Anna-Susan; Robinson, Luther K; Manning, Melanie A; Blankenship, Jason; Buckley, David; Hoyme, H Eugene; Adnams, Colleen M
2013-06-01
To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASDs). Multivariate correlation techniques were used with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first-grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and used in structural equation models (SEMs) to assess correlates of child intelligence (verbal and nonverbal) and behavior. A first SEM using only 7 maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05) but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status [SES], and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model and were overpowered by SES and maternal physical traits. Although other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD.
ERIC Educational Resources Information Center
Su, Xiaoli; Simons, Ronald L.; Simons, Leslie G.
2011-01-01
Interparental aggression has long been implicated as a cause of child and adolescent antisocial behavior. Four theoretical explanations (viz., an aggressogenic cognition model, general strain theory, an emotional security model, and a spillover model) have been proposed to account for this deleterious effect. To gain a better understanding of the…
ERIC Educational Resources Information Center
Johnston, Charlotte; Ohan, Jeneva L.
2005-01-01
Presents a social-cognitive model outlining the role of parental attributions for child behavior in parent?child interactions. Examples of studies providing evidence for the basic model are presented, with particular reference to applications of the model in families of children with Attention-Deficit/Hyperactivity Disorder (ADHD) and/or…
A Competing Neurobehavioral Decision Systems Model of SES-Related Health and Behavioral Disparities
Bickel, W. K.; Moody, L.; Quisenberry, A. J.; Ramey, C. T.; Sheffer, C. E.
2014-01-01
We propose that executive dysfunction is an important component relating the socioeconomic status gradient of select health behaviors. We review and find evidence supporting an SES gradient associated with (1) negative health behaviors (e.g., obesity, excessive use of alcohol, tobacco and other substances), and (2) executive dysfunction. Moreover, the evidence supports that stress and insufficient cognitive resources contribute to executive dysfunction and that executive dysfunction is evident among individuals who smoke cigarettes, are obese, abuse alcohol, and use illicit drugs. Collectively these data supports the dual system model of cognitive control, referred to here as the Competing Neurobehavioral Decision Systems hypothesis. The implications of these relationships for intervention and social justice considerations are discussed. PMID:25008219
Springer, Craig I; Colorado, Giselle; Misurell, Justin R
2015-01-01
Game-based cognitive-behavioral therapy group model for nonoffending caregivers utilizes structured therapeutic games to assist parents following child sexual abuse. Game-based cognitive-behavioral therapy group model is a manualized group treatment approach that integrates evidence-based cognitive-behavioral therapy components with structured play therapy to teach parenting and coping skills, provide psychoeducation, and process trauma. Structured therapeutic games were designed to allow nonoffending caregivers to process their children's abuse experiences and learn skills necessary to overcome trauma in a nonthreatening, fun, and engaging manner. The implementation of these techniques allow clinicians to address a variety of psychosocial difficulties that are commonly found among nonoffending caregivers of children who have experienced sexual abuse. In addition, structured therapeutic games help caregivers develop strengths and abilities that they can use to help their children cope with abuse and trauma and facilitates the development of positive posttraumatic growth. Techniques and procedures for treatment delivery along with a description of core components and therapeutic modules are discussed. An illustrative case study is provided.
Warren, Cortney S; Castillo, Linda G; Gleaves, David H
2010-01-01
White American cultural values of appearance are implicated in the development of body dissatisfaction. This study examined whether the relationships between awareness of White American appearance ideals, internalization of such ideals, and body dissatisfaction are moderated by behavioral acculturation and attitudinal marginalization in a sample of 94 Mexican American women. Results indicated that behavioral acculturation moderated the relationship between awareness and internalization and cognitive marginalization moderated the relationship between internalization and body dissatisfaction. Body size was positively correlated with body dissatisfaction and negatively correlated with behavioral acculturation. These findings have important implications for clinical practice and research with Mexican American women.
Dispositional coping, coping effectiveness, and cognitive social maturity among adolescent athletes.
Nicholls, Adam R; Perry, John L; Jones, Leigh; Morley, Dave; Carson, Fraser
2013-06-01
It is accepted among scholars that coping changes as people mature during adolescence, but little is known about the relationship between maturity and coping. The purpose of this paper was to assess a model, which included dispositional coping, coping effectiveness, and cognitive social maturity. We predicted that cognitive social maturity would have a direct effect on coping effectiveness, and also an indirect impact via dispositional coping. Two hundred forty-five adolescent athletes completed measures of dispositional coping, coping effectiveness, and cognitive social maturity, which has three dimensions: conscientiousness, peer influence on behavior, and rule following. Using structural equation modeling, we found support for our model, suggesting that coping is related to cognitive social maturity. This information can be used to influence the content of coping interventions for adolescents of different maturational levels.
Using Data-Driven Model-Brain Mappings to Constrain Formal Models of Cognition
Borst, Jelmer P.; Nijboer, Menno; Taatgen, Niels A.; van Rijn, Hedderik; Anderson, John R.
2015-01-01
In this paper we propose a method to create data-driven mappings from components of cognitive models to brain regions. Cognitive models are notoriously hard to evaluate, especially based on behavioral measures alone. Neuroimaging data can provide additional constraints, but this requires a mapping from model components to brain regions. Although such mappings can be based on the experience of the modeler or on a reading of the literature, a formal method is preferred to prevent researcher-based biases. In this paper we used model-based fMRI analysis to create a data-driven model-brain mapping for five modules of the ACT-R cognitive architecture. We then validated this mapping by applying it to two new datasets with associated models. The new mapping was at least as powerful as an existing mapping that was based on the literature, and indicated where the models were supported by the data and where they have to be improved. We conclude that data-driven model-brain mappings can provide strong constraints on cognitive models, and that model-based fMRI is a suitable way to create such mappings. PMID:25747601
Cholinergic modulation of cognitive processing: insights drawn from computational models
Newman, Ehren L.; Gupta, Kishan; Climer, Jason R.; Monaghan, Caitlin K.; Hasselmo, Michael E.
2012-01-01
Acetylcholine plays an important role in cognitive function, as shown by pharmacological manipulations that impact working memory, attention, episodic memory, and spatial memory function. Acetylcholine also shows striking modulatory influences on the cellular physiology of hippocampal and cortical neurons. Modeling of neural circuits provides a framework for understanding how the cognitive functions may arise from the influence of acetylcholine on neural and network dynamics. We review the influences of cholinergic manipulations on behavioral performance in working memory, attention, episodic memory, and spatial memory tasks, the physiological effects of acetylcholine on neural and circuit dynamics, and the computational models that provide insight into the functional relationships between the physiology and behavior. Specifically, we discuss the important role of acetylcholine in governing mechanisms of active maintenance in working memory tasks and in regulating network dynamics important for effective processing of stimuli in attention and episodic memory tasks. We also propose that theta rhythm plays a crucial role as an intermediary between the physiological influences of acetylcholine and behavior in episodic and spatial memory tasks. We conclude with a synthesis of the existing modeling work and highlight future directions that are likely to be rewarding given the existing state of the literature for both empiricists and modelers. PMID:22707936
Carroll, Kathleen M; Kiluk, Brian D
2017-12-01
Cognitive-behavioral therapy (CBT) approaches have among the highest level of empirical support for the treatment of drug and alcohol use disorders. As Psychology of Addictive Behaviors marks its 30th anniversary, we review the evolution of CBT for the addictions through the lens of the Stage Model of Behavioral Therapies Development. The large evidence base from Stage II randomized clinical trials indicates a modest effect size with evidence of relatively durable effects, but limited diffusion in clinical practice, as is the case for most empirically validated approaches for mental health and addictive disorders. Technology may provide a means for CBT interventions to circumvent the "implementation cliff" in Stages III-V by offering a flexible, low-cost, standardized means of disseminating CBT in a range of novel settings and populations. Moreover, returning to Stage I to reconnect clinical applications of CBT to recent developments in cognitive science and neuroscience holds great promise for accelerating understanding of mechanisms of action. It is critical that CBT not be considered as a static intervention, but rather 1 that constantly evolves and is refined through the stage model until the field achieves a maximally powerful intervention that addresses core features of the addictions. (PsycINFO Database Record (c) 2017 APA, all rights reserved).
Yamaguchi, Hiroshi; Hara, Yuta; Ago, Yukio; Takano, Erika; Hasebe, Shigeru; Nakazawa, Takanobu; Hashimoto, Hitoshi; Matsuda, Toshio; Takuma, Kazuhiro
2017-08-30
We recently demonstrated that prenatal exposure to valproic acid (VPA) at embryonic day 12.5 causes autism spectrum disorder (ASD)-like phenotypes such as hypolocomotion, anxiety-like behavior, social deficits and cognitive impairment in mice and that it decreases dendritic spine density in the hippocampal CA1 region. Previous studies show that some abnormal behaviors are improved by environmental enrichment in ASD rodent models, but it is not known whether environmental enrichment improves cognitive impairment. In the present study, we examined the effects of early environmental enrichment on behavioral abnormalities and neuromorphological changes in prenatal VPA-treated mice. We also examined the role of dendritic spine formation and synaptic protein expression in the hippocampus. Mice were housed for 4 weeks from 4 weeks of age under either a standard or enriched environment. Enriched housing was found to increase hippocampal brain-derived neurotrophic factor mRNA levels in both control and VPA-exposed mice. Furthermore, in VPA-treated mice, the environmental enrichment improved anxiety-like behavior, social deficits and cognitive impairment, but not hypolocomotion. Prenatal VPA treatment caused loss of dendritic spines in the hippocampal CA1 region and decreases in mRNA levels of postsynaptic density protein-95 and SH3 and multiple ankyrin repeat domains 2 in the hippocampus. These hippocampal changes were improved by the enriched housing. These findings suggest that the environmental enrichment improved most ASD-like behaviors including cognitive impairment in the VPA-treated mice by enhancing dendritic spine function. Copyright © 2017 Elsevier B.V. All rights reserved.
A Connectionist Model of a Continuous Developmental Transition in the Balance Scale Task
ERIC Educational Resources Information Center
Schapiro, Anna C.; McClelland, James L.
2009-01-01
A connectionist model of the balance scale task is presented which exhibits developmental transitions between "Rule I" and "Rule II" behavior [Siegler, R. S. (1976). Three aspects of cognitive development. "Cognitive Psychology," 8, 481-520.] as well as the "catastrophe flags" seen in data from Jansen and van der Maas [Jansen, B. R. J., & van der…
ERIC Educational Resources Information Center
Walker, Soung Hwa
2017-01-01
Since there is limited research on the applicability of the Theory of Planned Behavior (TPB) model in educational contexts, the current cross-national comparison study aimed to investigate how non-cognitive factors, specifically, the TPB model components, affect students' math outcomes in USA and their peers in three other countries, Germany,…
Anticipatory Cognitive Systems: a Theoretical Model
NASA Astrophysics Data System (ADS)
Terenzi, Graziano
This paper deals with the problem of understanding anticipation in biological and cognitive systems. It is argued that a physical theory can be considered as biologically plausible only if it incorporates the ability to describe systems which exhibit anticipatory behaviors. The paper introduces a cognitive level description of anticipation and provides a simple theoretical characterization of anticipatory systems on this level. Specifically, a simple model of a formal anticipatory neuron and a model (i.e. the τ-mirror architecture) of an anticipatory neural network which is based on the former are introduced and discussed. The basic feature of this architecture is that a part of the network learns to represent the behavior of the other part over time, thus constructing an implicit model of its own functioning. As a consequence, the network is capable of self-representation; anticipation, on a oscopic level, is nothing but a consequence of anticipation on a microscopic level. Some learning algorithms are also discussed together with related experimental tasks and possible integrations. The outcome of the paper is a formal characterization of anticipation in cognitive systems which aims at being incorporated in a comprehensive and more general physical theory.
Hall, Joseph M.; Resende, Leticia S.
2016-01-01
Investigation of the amnesic disorder Korsakoff Syndrome (KS) has been vital in elucidating the critical brain regions involved in learning and memory. Although the thalamus and mammillary bodies are the primary sites of neuropathology in KS, functional deactivation of the hippocampus and certain cortical regions also contributes to the chronic cognitive dysfunction reported in KS. The rodent pyrithiamine-induced thiamine deficiency (PTD) model has been used to study the extent of hippocampal and cortical neuroadaptations in KS. In the PTD model, the hippocampus, frontal and retrosplenial cortical regions display loss of cholinergic innervation, decreases in behaviorally stimulated acetylcholine release and reductions in neurotrophins. While PTD treatment results in significant impairment in measures of spatial learning and memory, other cognitive processes are left intact and may be recruited to improve cognitive outcome. In addition, behavioral recovery can be stimulated in the PTD model by increasing acetylcholine levels in the medial septum, hippocampus and frontal cortex, but not in the retrosplenial cortex. These data indicate that although the hippocampus and frontal cortex are involved in the pathogenesis of KS, these regions retain neuroplasticity and may be critical targets for improving cognitive outcome in KS. PMID:22528861
Savage, Lisa M; Hall, Joseph M; Resende, Leticia S
2012-06-01
Investigation of the amnesic disorder Korsakoff Syndrome (KS) has been vital in elucidating the critical brain regions involved in learning and memory. Although the thalamus and mammillary bodies are the primary sites of neuropathology in KS, functional deactivation of the hippocampus and certain cortical regions also contributes to the chronic cognitive dysfunction reported in KS. The rodent pyrithiamine-induced thiamine deficiency (PTD) model has been used to study the extent of hippocampal and cortical neuroadaptations in KS. In the PTD model, the hippocampus, frontal and retrosplenial cortical regions display loss of cholinergic innervation, decreases in behaviorally stimulated acetylcholine release and reductions in neurotrophins. While PTD treatment results in significant impairment in measures of spatial learning and memory, other cognitive processes are left intact and may be recruited to improve cognitive outcome. In addition, behavioral recovery can be stimulated in the PTD model by increasing acetylcholine levels in the medial septum, hippocampus and frontal cortex, but not in the retrosplenial cortex. These data indicate that although the hippocampus and frontal cortex are involved in the pathogenesis of KS, these regions retain neuroplasticity and may be critical targets for improving cognitive outcome in KS.
ERIC Educational Resources Information Center
Cookston, Jeffrey T.; Olide, Andres F.; Adams, Michele A.; Fabricius, William V.; Parke, Ross D.
2012-01-01
Adolescents may seek to understand family conflict by seeking out confidants. However, little is known about whom adolescents seek, whether and how such support helps youth, and the factors that predict which sources are sought. This chapter offers a conceptual model of guided cognitive reframing that emphasizes the behavioral, cognitive, and…
Applying Social Cognitive Theory in Coaching Athletes: The Power of Positive Role Models
ERIC Educational Resources Information Center
Connolly, Graeme J.
2017-01-01
The purpose of this article is to help coaches apply specific principles of psychology to the coaching process. More specifically, the work of Albert Bandura and his social cognitive theory form the basis for the article. This article begins with a brief overview of Bandura's social cognitive theory. It then examines four types of behaviors worthy…
ERIC Educational Resources Information Center
Lent, Robert W.; Lopez, Antonio M., Jr.; Lopez, Frederick G.; Sheu, Hung-Bin
2008-01-01
We tested the fit of the social cognitive choice model [Lent, R.W., Brown, S.D., & Hackett, G. (1994). "Toward a unifying social cognitive theory of career and academic interest, choice, and performance [Monograph]." "Journal of Vocational Behavior," 45, 79-122] to the data across gender, educational level, and type of university among students in…
Simulating a Skilled Typist: A Study of Skilled Cognitive-Motor Performance.
1981-05-01
points out, such behavior is to be expected from a metronome model of typing in which the typist ini- tiates a stroke regularly to some sort of...long. As we show, this behavior is also to be expected from models not involving such an internal clock. All other things being equal, the model... behavior actually engaged in by expert typ- ists. The Units of Typing Seem to Be Largely at the Word Level or Smaller The units of typing in our model are
Processes Contributing to the Maintenance of Flying Phobia: A Narrative Review
Clark, Gavin I.; Rock, Adam J.
2016-01-01
Flying phobia is a highly prevalent anxiety disorder, which causes sufferers significant distress and life interference. The processes which maintain flying phobia remain poorly understood. A systematic search of the literature was performed to identify what research has been conducted into the processes which may be involved in the fear of flying and whether processes which are believed to maintain other anxiety disorder diagnoses have been investigated in flying phobia. The results of the literature review are presented and related to existing cognitive behavioral theory and research. The results indicate that little research has been conducted into a number of areas considered important in the wider cognitive behavioral literature on anxiety disorders: namely attention, mental imagery, memory, worry, and safety-seeking behaviors. The review proposes a hypothetical model, derived from cognitive behavioral theory, for the processes which may be involved in maintaining flying phobia, and considers a number of areas for future research. PMID:27313550
Morgenstern, Jon; Naqvi, Nasir H; Debellis, Robert; Breiter, Hans C
2013-06-01
In the last decade, there has been an upsurge of interest in understanding the mechanisms of behavior change (MOBC) and effective behavioral interventions as a strategy to improve addiction-treatment efficacy. However, there remains considerable uncertainty about how treatment research should proceed to address the MOBC issue. In this article, we argue that limitations in the underlying models of addiction that inform behavioral treatment pose an obstacle to elucidating MOBC. We consider how advances in the cognitive neuroscience of addiction offer an alternative conceptual and methodological approach to studying the psychological processes that characterize addiction, and how such advances could inform treatment process research. In addition, we review neuroimaging studies that have tested aspects of neurocognitive theories as a strategy to inform addiction therapies and discuss future directions for transdisciplinary collaborations across cognitive neuroscience and MOBC research. 2013 APA, all rights reserved
Morgenstern, Jon; Naqvi, Nasir H.; Debellis, Robert; Breiter, Hans C.
2013-01-01
In the last decade, there has been an upsurge of interest in understanding the mechanisms of behavior change (MOBC) and effective behavioral interventions as a strategy to improve addiction-treatment efficacy. However, there remains considerable uncertainty about how treatment research should proceed to address the MOBC issue. In this article, we argue that limitations in the underlying models of addiction that inform behavioral treatment pose an obstacle to elucidating MOBC. We consider how advances in the cognitive neuroscience of addiction offer an alternative conceptual and methodological approach to studying the psychological processes that characterize addiction, and how such advances could inform treatment process research. In addition, we review neuroimaging studies that have tested aspects of neurocognitive theories as a strategy to inform addiction therapies and discuss future directions for transdisciplinary collaborations across cognitive neuroscience and MOBC research. PMID:23586452
Mind the fish: zebrafish as a model in cognitive social neuroscience
Oliveira, Rui F.
2013-01-01
Understanding how the brain implements social behavior on one hand, and how social processes feedback on the brain to promote fine-tuning of behavioral output according to changes in the social environment is a major challenge in contemporary neuroscience. A critical step to take this challenge successfully is finding the appropriate level of analysis when relating social to biological phenomena. Given the enormous complexity of both the neural networks of the brain and social systems, the use of a cognitive level of analysis (in an information processing perspective) is proposed here as an explanatory interface between brain and behavior. A conceptual framework for a cognitive approach to comparative social neuroscience is proposed, consisting of the following steps to be taken across different species with varying social systems: (1) identification of the functional building blocks of social skills; (2) identification of the cognitive mechanisms underlying the previously identified social skills; and (3) mapping these information processing mechanisms onto the brain. Teleost fish are presented here as a group of choice to develop this approach, given the diversity of social systems present in closely related species that allows for planned phylogenetic comparisons, and the availability of neurogenetic tools that allows the visualization and manipulation of selected neural circuits in model species such as the zebrafish. Finally, the state-of-the art of zebrafish social cognition and of the tools available to map social cognitive abilities to neural circuits in zebrafish are reviewed. PMID:23964204
Mind the fish: zebrafish as a model in cognitive social neuroscience.
Oliveira, Rui F
2013-01-01
Understanding how the brain implements social behavior on one hand, and how social processes feedback on the brain to promote fine-tuning of behavioral output according to changes in the social environment is a major challenge in contemporary neuroscience. A critical step to take this challenge successfully is finding the appropriate level of analysis when relating social to biological phenomena. Given the enormous complexity of both the neural networks of the brain and social systems, the use of a cognitive level of analysis (in an information processing perspective) is proposed here as an explanatory interface between brain and behavior. A conceptual framework for a cognitive approach to comparative social neuroscience is proposed, consisting of the following steps to be taken across different species with varying social systems: (1) identification of the functional building blocks of social skills; (2) identification of the cognitive mechanisms underlying the previously identified social skills; and (3) mapping these information processing mechanisms onto the brain. Teleost fish are presented here as a group of choice to develop this approach, given the diversity of social systems present in closely related species that allows for planned phylogenetic comparisons, and the availability of neurogenetic tools that allows the visualization and manipulation of selected neural circuits in model species such as the zebrafish. Finally, the state-of-the art of zebrafish social cognition and of the tools available to map social cognitive abilities to neural circuits in zebrafish are reviewed.
Social-cognitive correlates of risky adolescent cycling behavior
2010-01-01
Background Bicycle use entails high safety and health risks especially for adolescents. Most safety education programs aimed at adolescents focus on accident statistics and risk perceptions. This paper proposes the investigation of the social-cognitive correlates of risky cycling behaviors of adolescents prior to developing safety education programs. Method Secondary school students aged 13 to 18 years (n = 1446) filled out questionnaires regarding bicycle behavior, risky intentions, accident experience, and social-cognitive determinants as suggested by the theory of planned behavior. Results Regression analysis revealed that the proximal variables (i.e., self-efficacy, attitudes towards drunk driving, personal norm regarding safekeeping of self and others, and compared risk) were able to predict 17% of the variance of risky behavior and 23% of the variance of risky intentions. The full model explained respectively 29% and 37% of the variance in risky behavior and risky intentions. Adolescents with positive attitudes towards risky behavior and low sense of responsibility report risky behavior, even when having been (close to) an accident. Conclusions Adolescents realize whether they are risk takers or not. This implies that the focus of education programs should not be on risk perceptions, but on decreasing positive attitudes towards alcohol in traffic and increasing sense of responsibility instead. Cognitions regarding near accidents should be studied, the role of safe cycling self-efficacy is unclear. PMID:20624293
Zhou, Jie; Dovidio, John; Wang, Erping
2013-01-01
The moderating role of affective-cognitive consistency in the effects of affectively-based and cognitively-based attitudes on consummatory and instrumental behaviors was explored using two experimental studies in the intergroup context. Study 1 revealed that affectively-based attitudes were better predictors than cognitively-based attitudes regardless of affective-cognitive consistency for consummatory behaviors (e.g., undergraduates’ supportive behaviors toward government officials). Study 2, which investigated task groups’ supportive behaviors toward an immediate supervisory group, found that for these instrumental behaviors cognitively-based attitudes were better predictors than affectively-based attitudes only when affective-cognitive consistency was high. The present research also examined the mechanism by which affective-cognitive consistency moderates the relative roles of affectively-based and cognitively-based attitudes in attitude-behavior consistency. Results indicated that attitude-behavior consistency is eroded primarily because of the weaker relationship of affective or cognitive components to behaviors than to general attitudes. The reciprocal implications of research on attitudes and work on intergroup relations are considered. PMID:24244751
Jellett, Adam P; Jenks, Kyle; Lucas, Marcella; Scott, Rod C
2015-02-01
Children with epilepsy face significant cognitive and behavioral impairments. These impairments are due to a poorly characterized interaction between the underlying etiology, the effect of seizures and the effect of medication. The large variation in these factors make understanding the main drivers of cognitive impairment in humans extremely difficult. Therefore, we investigated the cognitive effect of seizures and the antiepileptic drug valproic acid in a rodent model of cortical dysplasia. Rats were divided into seizure-receiving and non-receiving groups. Rats experienced frequent early life seizures using the flurothyl inhalation method: 50 seizures between postnatal day 5 and 15 and then one seizure a day following that. Rats were further divided into drug-treated and vehicle treated groups. Valproic acid treated animals were treated from 5 days preceding behavioral testing in the Morris water maze at a clinically relevant concentration. We show here that the main driver of cognitive impairments are the brain malformations, and that persistent seizures in animals with brain malformations and valproic acid caused no additional impact. These findings suggest that neither an appropriate dose of a standard antiepileptic drug or intractable seizures worsen cognition associated with a malformation of cortical development and that alternative treatment strategies to improve cognition are required. Copyright © 2014 Elsevier B.V. All rights reserved.
Synthetic cognitive development. Where intelligence comes from
NASA Astrophysics Data System (ADS)
Weinbaum (Weaver), D.; Veitas, V.
2017-01-01
The human cognitive system is a remarkable exemplar of a general intelligent system whose competence is not confined to a specific problem domain. Evidently, general cognitive competences are a product of a prolonged and complex process of cognitive development. Therefore, the process of cognitive development is a primary key to understanding the emergence of intelligent behavior. This paper develops the theoretical foundations for a model that generalizes the process of cognitive development. The model aims to provide a realistic scheme for the synthesis of scalable cognitive systems with an open-ended range of capabilities. Major concepts and theories of human cognitive development are introduced and briefly explored, focusing on the enactive approach to cognition and the concept of sense-making. The initial scheme of human cognitive development is then generalized by introducing the philosophy of individuation and the abstract mechanism of transduction. The theory of individuation provides the ground for the necessary paradigmatic shift from cognitive systems as given products to cognitive development as a formative process of self-organization. Next, the conceptual model is specified as a scalable scheme of networks of agents. The mechanisms of individuation are formulated in context-independent information theoretical terms. Finally, the paper discusses two concrete aspects of the generative model - mechanisms of transduction and value modulating systems. These are topics of further research towards an implementable architecture.
Sakurai, Takeshi; Gamo, Nao J; Hikida, Takatoshi; Kim, Sun-Hong; Murai, Toshiya; Tomoda, Toshifumi; Sawa, Akira
2015-01-01
The prefrontal cortex (PFC) and its connections with other brain areas are crucial for cognitive function. Cognitive impairments are one of the core symptoms associated with schizophrenia, and manifest even before the onset of the disorder. Altered neural networks involving PFC contribute to cognitive impairments in schizophrenia. Both genetic and environmental risk factors affect the development of the local circuitry within PFC as well as development of broader brain networks, and make the system vulnerable to further insults during adolescence, leading to the onset of the disorder in young adulthood. Since spared cognitive functions correlate with functional outcome and prognosis, a better understanding of the mechanisms underlying cognitive impairments will have important implications for novel therapeutics for schizophrenia focusing on cognitive functions. Multidisciplinary approaches, from basic neuroscience to clinical studies, are required to link molecules, circuitry, networks, and behavioral phenotypes. Close interactions among such fields by sharing a common language on connectomes, behavioral readouts, and other concepts are crucial for this goal. PMID:26408506
Spunt, Robert P; Lieberman, Matthew D
2013-01-01
Much social-cognitive processing is believed to occur automatically; however, the relative automaticity of the brain systems underlying social cognition remains largely undetermined. We used functional MRI to test for automaticity in the functioning of two brain systems that research has indicated are important for understanding other people's behavior: the mirror neuron system and the mentalizing system. Participants remembered either easy phone numbers (low cognitive load) or difficult phone numbers (high cognitive load) while observing actions after adopting one of four comprehension goals. For all four goals, mirror neuron system activation showed relatively little evidence of modulation by load; in contrast, the association of mentalizing system activation with the goal of inferring the actor's mental state was extinguished by increased cognitive load. These results support a dual-process model of the brain systems underlying action understanding and social cognition; the mirror neuron system supports automatic behavior identification, and the mentalizing system supports controlled social causal attribution.
Akl, Ahmad; Snoek, Jasper; Mihailidis, Alex
2015-01-01
With a globally aging population, the burden of care of cognitively impaired older adults is becoming increasingly concerning. Instances of Alzheimer’s disease and other forms of dementia are becoming ever more frequent. Earlier detection of cognitive impairment offers significant benefits, but remains difficult to do in practice. In this paper, we develop statistical models of the behavior of older adults within their homes using sensor data in order to detect the early onset of cognitive decline. Specifically, we use inhomogenous Poisson processes to model the presence of subjects within different rooms throughout the day in the home using unobtrusive sensing technologies. We compare the distributions learned from cognitively intact and impaired subjects using information theoretic tools and observe statistical differences between the two populations which we believe can be used to help detect the onset of cognitive decline. PMID:25570050
Akl, Ahmad; Snoek, Jasper; Mihailidis, Alex
2014-01-01
With a globally aging population, the burden of care of cognitively impaired older adults is becoming increasingly concerning. Instances of Alzheimer's disease and other forms of dementia are becoming ever more frequent. Earlier detection of cognitive impairment offers significant benefits, but remains difficult to do in practice. In this paper, we develop statistical models of the behavior of older adults within their homes using sensor data in order to detect the early onset of cognitive decline. Specifically, we use inhomogenous Poisson processes to model the presence of subjects within different rooms throughout the day in the home using unobtrusive sensing technologies. We compare the distributions learned from cognitively intact and impaired subjects using information theoretic tools and observe statistical differences between the two populations which we believe can be used to help detect the onset of cognitive decline.
Cognitive inflexibility in Obsessive-Compulsive Disorder.
Gruner, Patricia; Pittenger, Christopher
2017-03-14
Obsessive-Compulsive Disorder (OCD) is characterized by maladaptive patterns of repetitive, inflexible cognition and behavior that suggest a lack of cognitive flexibility. Consistent with this clinical observation, many neurocognitive studies suggest behavioral and neurobiological abnormalities in cognitive flexibility in individuals with OCD. Meta-analytic reviews support a pattern of cognitive inflexibility, with effect sizes generally in the medium range. Heterogeneity in assessments and the way underlying constructs have been operationalized point to the need for better standardization across studies, as well as more refined overarching models of cognitive flexibility and executive function (EF). Neuropsychological assessments of cognitive flexibility include measures of attentional set shifting, reversal and alternation, cued task-switching paradigms, cognitive control measures such as the Trail-Making and Stroop tasks, and several measures of motor inhibition. Differences in the cognitive constructs and neural substrates associated with these measures suggest that performance within these different domains should be examined separately. Additional factors, such as the number of consistent trials prior to a shift and whether a shift is explicitly signaled or must be inferred from a change in reward contingencies, may influence performance, and thus mask or accentuate deficits. Several studies have described abnormalities in neural activation in the absence of differences in behavioral performance, suggesting that our behavioral probes may not be adequately sensitive, but also offering important insights into potential compensatory processes. The fact that deficits of moderate effect size are seen across a broad range of classic neuropsychological tests in OCD presents a conceptual challenge, as clinical symptomatology suggests greater specificity. Traditional cognitive probes may not be sufficient to delineate specific domains of deficit in this and other neuropsychiatric disorders; a new generation of behavioral tasks that test more specific underlying constructs, supplemented by neuroimaging to provide insight into the underlying processes, may be needed. Copyright © 2016 IBRO. Published by Elsevier Ltd. All rights reserved.
Cantwell, George; Riesenhuber, Maximilian; Roeder, Jessica L; Ashby, F Gregory
2017-05-01
The field of computational cognitive neuroscience (CCN) builds and tests neurobiologically detailed computational models that account for both behavioral and neuroscience data. This article leverages a key advantage of CCN-namely, that it should be possible to interface different CCN models in a plug-and-play fashion-to produce a new and biologically detailed model of perceptual category learning. The new model was created from two existing CCN models: the HMAX model of visual object processing and the COVIS model of category learning. Using bitmap images as inputs and by adjusting only a couple of learning-rate parameters, the new HMAX/COVIS model provides impressively good fits to human category-learning data from two qualitatively different experiments that used different types of category structures and different types of visual stimuli. Overall, the model provides a comprehensive neural and behavioral account of basal ganglia-mediated learning. Copyright © 2017 Elsevier Ltd. All rights reserved.
Parenting cognitions → parenting practices → child adjustment? The standard model.
Bornstein, Marc H; Putnick, Diane L; Suwalsky, Joan T D
2018-05-01
In a large-scale (N = 317) prospective 8-year longitudinal multiage, multidomain, multivariate, multisource study, we tested a conservative three-term model linking parenting cognitions in toddlerhood to parenting practices in preschool to classroom externalizing behavior in middle childhood, controlling for earlier parenting practices and child externalizing behavior. Mothers who were more knowledgeable, satisfied, and attributed successes in their parenting to themselves when their toddlers were 20 months of age engaged in increased supportive parenting during joint activity tasks 2 years later when their children were 4 years of age, and 6 years after that their 10-year-olds were rated by teachers as having fewer classroom externalizing behavior problems. This developmental cascade of a "standard model" of parenting applied equally to families with girls and boys, and the cascade from parenting attributions to supportive parenting to child externalizing behavior obtained independent of 12 child, parent, and family covariates. Conceptualizing socialization in terms of cascades helps to identify points of effective intervention.
Generalizing the dynamic field theory of spatial cognition across real and developmental time scales
Simmering, Vanessa R.; Spencer, John P.; Schutte, Anne R.
2008-01-01
Within cognitive neuroscience, computational models are designed to provide insights into the organization of behavior while adhering to neural principles. These models should provide sufficient specificity to generate novel predictions while maintaining the generality needed to capture behavior across tasks and/or time scales. This paper presents one such model, the Dynamic Field Theory (DFT) of spatial cognition, showing new simulations that provide a demonstration proof that the theory generalizes across developmental changes in performance in four tasks—the Piagetian A-not-B task, a sandbox version of the A-not-B task, a canonical spatial recall task, and a position discrimination task. Model simulations demonstrate that the DFT can accomplish both specificity—generating novel, testable predictions—and generality—spanning multiple tasks across development with a relatively simple developmental hypothesis. Critically, the DFT achieves generality across tasks and time scales with no modification to its basic structure and with a strong commitment to neural principles. The only change necessary to capture development in the model was an increase in the precision of the tuning of receptive fields as well as an increase in the precision of local excitatory interactions among neurons in the model. These small quantitative changes were sufficient to move the model through a set of quantitative and qualitative behavioral changes that span the age range from 8 months to 6 years and into adulthood. We conclude by considering how the DFT is positioned in the literature, the challenges on the horizon for our framework, and how a dynamic field approach can yield new insights into development from a computational cognitive neuroscience perspective. PMID:17716632
Connecting a cognitive architecture to robotic perception
NASA Astrophysics Data System (ADS)
Kurup, Unmesh; Lebiere, Christian; Stentz, Anthony; Hebert, Martial
2012-06-01
We present an integrated architecture in which perception and cognition interact and provide information to each other leading to improved performance in real-world situations. Our system integrates the Felzenswalb et. al. object-detection algorithm with the ACT-R cognitive architecture. The targeted task is to predict and classify pedestrian behavior in a checkpoint scenario, most specifically to discriminate between normal versus checkpoint-avoiding behavior. The Felzenswalb algorithm is a learning-based algorithm for detecting and localizing objects in images. ACT-R is a cognitive architecture that has been successfully used to model human cognition with a high degree of fidelity on tasks ranging from basic decision-making to the control of complex systems such as driving or air traffic control. The Felzenswalb algorithm detects pedestrians in the image and provides ACT-R a set of features based primarily on their locations. ACT-R uses its pattern-matching capabilities, specifically its partial-matching and blending mechanisms, to track objects across multiple images and classify their behavior based on the sequence of observed features. ACT-R also provides feedback to the Felzenswalb algorithm in the form of expected object locations that allow the algorithm to eliminate false-positives and improve its overall performance. This capability is an instance of the benefits pursued in developing a richer interaction between bottom-up perceptual processes and top-down goal-directed cognition. We trained the system on individual behaviors (only one person in the scene) and evaluated its performance across single and multiple behavior sets.
The evolution of the cognitive model of depression and its neurobiological correlates.
Beck, Aaron T
2008-08-01
Although the cognitive model of depression has evolved appreciably since its first formulation over 40 years ago, the potential interaction of genetic, neurochemical, and cognitive factors has only recently been demonstrated. Combining findings from behavioral genetics and cognitive neuroscience with the accumulated research on the cognitive model opens new opportunities for integrated research. Drawing on advances in cognitive, personality, and social psychology as well as clinical observations, expansions of the original cognitive model have incorporated in successive stages automatic thoughts, cognitive distortions, dysfunctional beliefs, and information-processing biases. The developmental model identified early traumatic experiences and the formation of dysfunctional beliefs as predisposing events and congruent stressors in later life as precipitating factors. It is now possible to sketch out possible genetic and neurochemical pathways that interact with or are parallel to cognitive variables. A hypersensitive amygdala is associated with both a genetic polymorphism and a pattern of negative cognitive biases and dysfunctional beliefs, all of which constitute risk factors for depression. Further, the combination of a hyperactive amygdala and hypoactive prefrontal regions is associated with diminished cognitive appraisal and the occurrence of depression. Genetic polymorphisms also are involved in the overreaction to the stress and the hypercortisolemia in the development of depression--probably mediated by cognitive distortions. I suggest that comprehensive study of the psychological as well as biological correlates of depression can provide a new understanding of this debilitating disorder.
Khdour, Hussain Y.; Abushalbaq, Oday M.; Mughrabi, Ibrahim T.; Imam, Aya F.; Gluck, Mark A.; Herzallah, Mohammad M.; Moustafa, Ahmed A.
2016-01-01
Anxiety disorders, including generalized anxiety disorder (GAD), social anxiety disorder (SAD), and panic anxiety disorder (PAD), are a group of common psychiatric conditions. They are characterized by excessive worrying, uneasiness, and fear of future events, such that they affect social and occupational functioning. Anxiety disorders can alter behavior and cognition as well, yet little is known about the particular domains they affect. In this study, we tested the cognitive correlates of medication-free patients with GAD, SAD, and PAD, along with matched healthy participants using a probabilistic category-learning task that allows the dissociation between positive and negative feedback learning. We also fitted all participants' data to a Q-learning model and various actor-critic models that examine learning rate parameters from positive and negative feedback to investigate effects of valence vs. action on performance. SAD and GAD patients were more sensitive to negative feedback than either PAD patients or healthy participants. PAD, SAD, and GAD patients did not differ in positive-feedback learning compared to healthy participants. We found that Q-learning models provide the simplest fit of the data in comparison to other models. However, computational analysis revealed that groups did not differ in terms of learning rate or exploration values. These findings argue that (a) not all anxiety spectrum disorders share similar cognitive correlates, but are rather different in ways that do not link them to the hallmark of anxiety (higher sensitivity to negative feedback); and (b) perception of negative consequences is the core feature of GAD and SAD, but not PAD. Further research is needed to examine the similarities and differences between anxiety spectrum disorders in other cognitive domains and potential implementation of behavioral therapy to remediate cognitive deficits. PMID:27445719
Khdour, Hussain Y; Abushalbaq, Oday M; Mughrabi, Ibrahim T; Imam, Aya F; Gluck, Mark A; Herzallah, Mohammad M; Moustafa, Ahmed A
2016-01-01
Anxiety disorders, including generalized anxiety disorder (GAD), social anxiety disorder (SAD), and panic anxiety disorder (PAD), are a group of common psychiatric conditions. They are characterized by excessive worrying, uneasiness, and fear of future events, such that they affect social and occupational functioning. Anxiety disorders can alter behavior and cognition as well, yet little is known about the particular domains they affect. In this study, we tested the cognitive correlates of medication-free patients with GAD, SAD, and PAD, along with matched healthy participants using a probabilistic category-learning task that allows the dissociation between positive and negative feedback learning. We also fitted all participants' data to a Q-learning model and various actor-critic models that examine learning rate parameters from positive and negative feedback to investigate effects of valence vs. action on performance. SAD and GAD patients were more sensitive to negative feedback than either PAD patients or healthy participants. PAD, SAD, and GAD patients did not differ in positive-feedback learning compared to healthy participants. We found that Q-learning models provide the simplest fit of the data in comparison to other models. However, computational analysis revealed that groups did not differ in terms of learning rate or exploration values. These findings argue that (a) not all anxiety spectrum disorders share similar cognitive correlates, but are rather different in ways that do not link them to the hallmark of anxiety (higher sensitivity to negative feedback); and (b) perception of negative consequences is the core feature of GAD and SAD, but not PAD. Further research is needed to examine the similarities and differences between anxiety spectrum disorders in other cognitive domains and potential implementation of behavioral therapy to remediate cognitive deficits.
Cognitive-Behavioral Therapy: Nature and Relation to Non-Cognitive Behavioral Therapy.
Lorenzo-Luaces, Lorenzo; Keefe, John R; DeRubeis, Robert J
2016-11-01
Since the introduction of Beck's cognitive theory of emotional disorders, and their treatment with psychotherapy, cognitive-behavioral approaches have become the most extensively researched psychological treatment for a wide variety of disorders. Despite this, the relative contribution of cognitive to behavioral approaches to treatment are poorly understood and the mechanistic role of cognitive change in therapy is widely debated. We critically review this literature, focusing on the mechanistic role of cognitive change across cognitive and behavioral therapies for depressive and anxiety disorders. Copyright © 2016. Published by Elsevier Ltd.
ERIC Educational Resources Information Center
Rotella, Robert J.; And Others
1991-01-01
Burnout is a condition of withdrawal from participation in sports as a result of stress. The most significant advance in the study of burnout has been a cognitive-affective model that contains situational, cognitive appraisal, physiological, and behavioral components. Suggestions for preventing and treating burnout are presented. (BC)
Stanley, Barbara; Brown, Gregory; Brent, David A; Wells, Karen; Poling, Kim; Curry, John; Kennard, Betsy D; Wagner, Ann; Cwik, Mary F; Klomek, Anat Brunstein; Goldstein, Tina; Vitiello, Benedetto; Barnett, Shannon; Daniel, Stephanie; Hughes, Jennifer
2009-10-01
To describe the elements of a manual-based cognitive-behavioral therapy for suicide prevention (CBT-SP) and to report its feasibility in preventing the recurrence of suicidal behavior in adolescents who have recently attempted suicide. The CBT-SP was developed using a risk reduction and relapse prevention approach and theoretically grounded in principles of cognitive-behavioral therapy, dialectical behavioral therapy, and targeted therapies for suicidal youths with depression. The CBT-SP consists of acute and continuation phases, each lasting about 12 sessions, and includes a chain analysis of the suicidal event, safety plan development, skill building, psychoeducation, family intervention, and relapse prevention. The CBT-SP was administered to 110 recent suicide attempters with depression aged 13 to 19 years (mean 15.8 years, SD 1.6) across five academic sites. Twelve or more sessions were completed by 72.4% of the sample. A specific intervention for adolescents at high risk for repeated suicide attempts has been developed and manual based, and further testing of its efficacy seems feasible.
Schuck, Sabrina E B; Emmerson, Natasha A; Fine, Aubrey H; Lakes, Kimberley D
2015-02-01
The objective of this study was to provide preliminary findings from an ongoing randomized clinical trial using a canine-assisted intervention (CAI) for 24 children with ADHD. Project Positive Assertive Cooperative Kids (P.A.C.K.) was designed to study a 12-week cognitive-behavioral intervention delivered with or without CAI. Children were randomly assigned to group therapy with or without CAI. Parents of children in both groups simultaneously participated in weekly parent group therapy sessions. Across both treatment groups, parents reported improvements in children's social skills, prosocial behaviors, and problematic behaviors. In both groups, the severity of ADHD symptoms declined during the course of treatment; however, children who received the CAI model exhibited greater reductions in the severity of ADHD symptoms than did children who received cognitive-behavioral therapy without CAI. Results suggest that CAI offers a novel therapeutic strategy that may enhance cognitive-behavioral interventions for children with ADHD. © 2013 SAGE Publications.
Body-related envy: a social comparison perspective in sport and exercise.
Pila, Eva; Stamiris, Angela; Castonguay, Andree; Sabiston, Catherine M
2014-02-01
These three studies sought to better understand experiences of body-related envy and to examine the association with motivation and exercise behavior in young adult males and females. In an interview study, participants (N = 11) discussed body-related envy within a framework of social comparison. In Study 2, a thematic content analysis was conducted on self-reported narratives of body-related envy experiences reported by 288 participants. Themes of body-related envy triggers, cognitions, and cognitive and behavioral outcomes were identified. Findings from Studies 1 and 2 highlighted the possible link between body-related envy and exercise motivation and behavior. Study 3 tested these associations with males and females (N = 595) who completed a self-report questionnaire. In the structural equation model, body-related envy was positively associated with external, introjected, and identified regulations, and identified regulation was positively associated with exercise behavior. Taken together, the importance of body-related envy in the experience of cognitive, affective, and behavioral outcomes related to sport and exercise contexts is highlighted.
Stanley, Barbara; Brown, Gregory; Brent, David; Wells, Karen; Poling, Kim; Curry, John; Kennard, Betsy D.; Wagner, Ann; Cwik, Mary; Klomek, Anat Brunstein; Goldstein, Tina; Vitiello, Benedetto; Barnett, Shannon; Daniel, Stephanie; Hughes, Jennifer
2009-01-01
Objective To describe the elements of a manualized cognitive behavior psychotherapy for suicide prevention (CBT-SP) and to report its feasibility in preventing the recurrence of suicidal behavior in adolescents who have recently attempted suicide. Method CBT-SP was developed using a risk reduction, relapse prevention approach and theoretically grounded in principles of cognitive behavior therapy, dialectical behavioral therapy and targeted therapies for suicidal, depressed youth. CBT-SP consists of acute and continuation phases, each lasting about 12 sessions, and includes a chain analysis of the suicidal event, safety plan development, skill building, psychoeducation, family intervention, and relapse prevention. Results CBT-SP was administered to 110 depressed, recent suicide attempters aged 13–19 years (mean 15.8±1.6) across five academic sites. Twelve or more sessions were completed by 72.4% of the sample. Conclusions A specific intervention for adolescents at high risk for repeated suicide attempts has been developed and manualized, and further testing of its efficacy appears feasible. PMID:19730273
Clerkin, Elise M; Teachman, Bethany A
2009-08-01
The current study tests cognitive-behavioral models of body dysmorphic disorder (BDD) by examining the relationship between cognitive biases and correlates of mirror gazing. To provide a more comprehensive picture, we investigated both relatively strategic (i.e., available for conscious introspection) and automatic (i.e., outside conscious control) measures of cognitive biases in a sample with either high (n = 32) or low (n = 31) BDD symptoms. Specifically, we examined the extent that (1) explicit interpretations tied to appearance, as well as (2) automatic associations and (3) strategic evaluations of the importance of attractiveness predict anxiety and avoidance associated with mirror gazing. Results indicated that interpretations tied to appearance uniquely predicted self-reported desire to avoid, whereas strategic evaluations of appearance uniquely predicted peak anxiety associated with mirror gazing, and automatic appearance associations uniquely predicted behavioral avoidance. These results offer considerable support for cognitive models of BDD, and suggest a dissociation between automatic and strategic measures.
Clerkin, Elise M.; Teachman, Bethany A.
2011-01-01
The current study tests cognitive-behavioral models of body dysmorphic disorder (BDD) by examining the relationship between cognitive biases and correlates of mirror gazing. To provide a more comprehensive picture, we investigated both relatively strategic (i.e., available for conscious introspection) and automatic (i.e., outside conscious control) measures of cognitive biases in a sample with either high (n=32) or low (n=31) BDD symptoms. Specifically, we examined the extent that 1) explicit interpretations tied to appearance, as well as 2) automatic associations and 3) strategic evaluations of the importance of attractiveness predict anxiety and avoidance associated with mirror gazing. Results indicated that interpretations tied to appearance uniquely predicted self-reported desire to avoid, while strategic evaluations of appearance uniquely predicted peak anxiety associated with mirror gazing, and automatic appearance associations uniquely predicted behavioral avoidance. These results offer considerable support for cognitive models of BDD, and suggest a dissociation between automatic and strategic measures. PMID:19684496
Biflorin Ameliorates Memory Impairments Induced by Cholinergic Blockade in Mice
Jeon, Se Jin; Kim, Boseong; Ryu, Byeol; Kim, Eunji; Lee, Sunhee; Jang, Dae Sik; Ryu, Jong Hoon
2017-01-01
To examine the effect of biflorin, a component of Syzygium aromaticum, on memory deficit, we introduced a scopolamine-induced cognitive deficit mouse model. A single administration of biflorin increased latency time in the passive avoidance task, ameliorated alternation behavior in the Y-maze, and increased exploration time in the Morris water maze task, indicating the improvement of cognitive behaviors against cholinergic dysfunction. The biflorin-induced reverse of latency in the scopolamine-treated group was attenuated by MK-801, an NMDA receptor antagonist. Biflorin also enhanced cognitive function in a naïve mouse model. To understand the mechanism of biflorin for memory amelioration, we performed Western blot. Biflorin increased the activation of protein kinase C-ζ and its downstream signaling molecules in the hippocampus. These results suggest that biflorin ameliorates drug-induced memory impairment by modulation of protein kinase C-ζ signaling in mice, implying that biflorin could function as a possible therapeutic agent for the treatment of cognitive problems. PMID:27829270
Child-related cognitions and affective functioning of physically abusive and comparison parents.
Haskett, Mary E; Smith Scott, Susan; Grant, Raven; Ward, Caryn Sabourin; Robinson, Canby
2003-06-01
The goal of this research was to utilize the cognitive behavioral model of abusive parenting to select and examine risk factors to illuminate the unique and combined influences of social cognitive and affective variables in predicting abuse group membership. Participants included physically abusive parents (n=56) and a closely-matched group of comparison parents (n=62). Social cognitive risk variables measured were (a) parent's expectations for children's abilities and maturity, (b) parental attributions of intentionality of child misbehavior, and (c) parents' perceptions of their children's adjustment. Affective risk variables included (a) psychopathology and (b) parenting stress. A series of logistic regression models were constructed to test the individual, combined, and interactive effects of risk variables on abuse group membership. The full set of five risk variables was predictive of abuse status; however, not all variables were predictive when considered individually and interactions did not contribute significantly to prediction. A risk composite score computed for each parent based on the five risk variables significantly predicted abuse status. Wide individual differences in risk across the five variables were apparent within the sample of abusive parents. Findings were generally consistent with a cognitive behavioral model of abuse, with cognitive variables being more salient in predicting abuse status than affective factors. Results point to the importance of considering diversity in characteristics of abusive parents.
ERIC Educational Resources Information Center
Liu, Xun
2010-01-01
This study extended the technology acceptance model and empirically tested the new model with wikis, a new type of educational technology. Based on social cognitive theory and the theory of planned behavior, three new variables, wiki self-efficacy, online posting anxiety, and perceived behavioral control, were added to the original technology…
Kosteli, Maria-Christina; Cumming, Jennifer; Williams, Sarah E
2018-01-01
Limited research has investigated exercise imagery use in middle-aged and older adults and its relationship with affective and behavioral correlates. The study examined the association between self-regulatory imagery and physical activity (PA) through key social cognitive variables. Middle-aged and older adults (N = 299; M age = 59.73 years, SD = 7.73, range = 50 to 80) completed self-report measures assessing self-regulatory imagery use, self-efficacy, outcome expectations, perceived barriers, self-regulatory behavior, enjoyment, and PA levels. Path analysis supported a model (χ² [14] = 21.76, p = .08, CFI = .99, TLI = .97, SRMR = .03, RMSEA = .04) whereby self-regulatory imagery positively predicted self-efficacy, outcome expectations, and self-regulatory behaviors. Furthermore, self-regulatory imagery indirectly predicted barriers, outcome expectations, self-regulation, enjoyment, and PA. This research highlights self-regulatory imagery as an effective strategy in modifying exercise-related cognitions and behaviors. Incorporating social cognitive constructs into the design of imagery interventions may increase PA engagement.
Modeling Collective Animal Behavior with a Cognitive Perspective: A Methodological Framework
Weitz, Sebastian; Blanco, Stéphane; Fournier, Richard; Gautrais, Jacques; Jost, Christian; Theraulaz, Guy
2012-01-01
The last decades have seen an increasing interest in modeling collective animal behavior. Some studies try to reproduce as accurately as possible the collective dynamics and patterns observed in several animal groups with biologically plausible, individual behavioral rules. The objective is then essentially to demonstrate that the observed collective features may be the result of self-organizing processes involving quite simple individual behaviors. Other studies concentrate on the objective of establishing or enriching links between collective behavior researches and cognitive or physiological ones, which then requires that each individual rule be carefully validated. Here we discuss the methodological consequences of this additional requirement. Using the example of corpse clustering in ants, we first illustrate that it may be impossible to discriminate among alternative individual rules by considering only observational data collected at the group level. Six individual behavioral models are described: They are clearly distinct in terms of individual behaviors, they all reproduce satisfactorily the collective dynamics and distribution patterns observed in experiments, and we show theoretically that it is strictly impossible to discriminate two of these models even in the limit of an infinite amount of data whatever the accuracy level. A set of methodological steps are then listed and discussed as practical ways to partially overcome this problem. They involve complementary experimental protocols specifically designed to address the behavioral rules successively, conserving group-level data for the overall model validation. In this context, we highlight the importance of maintaining a sharp distinction between model enunciation, with explicit references to validated biological concepts, and formal translation of these concepts in terms of quantitative state variables and fittable functional dependences. Illustrative examples are provided of the benefits expected during the often long and difficult process of refining a behavioral model, designing adapted experimental protocols and inversing model parameters. PMID:22761685
Modeling collective animal behavior with a cognitive perspective: a methodological framework.
Weitz, Sebastian; Blanco, Stéphane; Fournier, Richard; Gautrais, Jacques; Jost, Christian; Theraulaz, Guy
2012-01-01
The last decades have seen an increasing interest in modeling collective animal behavior. Some studies try to reproduce as accurately as possible the collective dynamics and patterns observed in several animal groups with biologically plausible, individual behavioral rules. The objective is then essentially to demonstrate that the observed collective features may be the result of self-organizing processes involving quite simple individual behaviors. Other studies concentrate on the objective of establishing or enriching links between collective behavior researches and cognitive or physiological ones, which then requires that each individual rule be carefully validated. Here we discuss the methodological consequences of this additional requirement. Using the example of corpse clustering in ants, we first illustrate that it may be impossible to discriminate among alternative individual rules by considering only observational data collected at the group level. Six individual behavioral models are described: They are clearly distinct in terms of individual behaviors, they all reproduce satisfactorily the collective dynamics and distribution patterns observed in experiments, and we show theoretically that it is strictly impossible to discriminate two of these models even in the limit of an infinite amount of data whatever the accuracy level. A set of methodological steps are then listed and discussed as practical ways to partially overcome this problem. They involve complementary experimental protocols specifically designed to address the behavioral rules successively, conserving group-level data for the overall model validation. In this context, we highlight the importance of maintaining a sharp distinction between model enunciation, with explicit references to validated biological concepts, and formal translation of these concepts in terms of quantitative state variables and fittable functional dependences. Illustrative examples are provided of the benefits expected during the often long and difficult process of refining a behavioral model, designing adapted experimental protocols and inversing model parameters.
Rational metareasoning and the plasticity of cognitive control.
Lieder, Falk; Shenhav, Amitai; Musslick, Sebastian; Griffiths, Thomas L
2018-04-01
The human brain has the impressive capacity to adapt how it processes information to high-level goals. While it is known that these cognitive control skills are malleable and can be improved through training, the underlying plasticity mechanisms are not well understood. Here, we develop and evaluate a model of how people learn when to exert cognitive control, which controlled process to use, and how much effort to exert. We derive this model from a general theory according to which the function of cognitive control is to select and configure neural pathways so as to make optimal use of finite time and limited computational resources. The central idea of our Learned Value of Control model is that people use reinforcement learning to predict the value of candidate control signals of different types and intensities based on stimulus features. This model correctly predicts the learning and transfer effects underlying the adaptive control-demanding behavior observed in an experiment on visual attention and four experiments on interference control in Stroop and Flanker paradigms. Moreover, our model explained these findings significantly better than an associative learning model and a Win-Stay Lose-Shift model. Our findings elucidate how learning and experience might shape people's ability and propensity to adaptively control their minds and behavior. We conclude by predicting under which circumstances these learning mechanisms might lead to self-control failure.
Rational metareasoning and the plasticity of cognitive control
Shenhav, Amitai; Musslick, Sebastian; Griffiths, Thomas L.
2018-01-01
The human brain has the impressive capacity to adapt how it processes information to high-level goals. While it is known that these cognitive control skills are malleable and can be improved through training, the underlying plasticity mechanisms are not well understood. Here, we develop and evaluate a model of how people learn when to exert cognitive control, which controlled process to use, and how much effort to exert. We derive this model from a general theory according to which the function of cognitive control is to select and configure neural pathways so as to make optimal use of finite time and limited computational resources. The central idea of our Learned Value of Control model is that people use reinforcement learning to predict the value of candidate control signals of different types and intensities based on stimulus features. This model correctly predicts the learning and transfer effects underlying the adaptive control-demanding behavior observed in an experiment on visual attention and four experiments on interference control in Stroop and Flanker paradigms. Moreover, our model explained these findings significantly better than an associative learning model and a Win-Stay Lose-Shift model. Our findings elucidate how learning and experience might shape people’s ability and propensity to adaptively control their minds and behavior. We conclude by predicting under which circumstances these learning mechanisms might lead to self-control failure. PMID:29694347
Tylén, Kristian; Allen, Micah; Hunter, Bjørk K; Roepstorff, Andreas
2012-01-01
Human cognition has usually been approached on the level of individual minds and brains, but social interaction is a challenging case. Is it best thought of as a self-contained individual cognitive process aiming at an "understanding of the other," or should it rather be approached as an collective, inter-personal process where individual cognitive components interact on a moment-to-moment basis to form coupled dynamics? In a combined fMRI and eye-tracking study we directly contrasted these models of social cognition. We found that the perception of situations affording social contingent responsiveness (e.g., someone offering or showing you an object) elicited activations in regions of the right posterior temporal sulcus and yielded greater pupil dilation corresponding to a model of coupled dynamics (joint action). In contrast, the social-cognitive perception of someone "privately" manipulating an object elicited activation in medial prefrontal cortex, the right inferior frontal gyrus and right inferior parietal lobus, regions normally associated with Theory of Mind and with the mirror neuron system. Our findings support a distinction in social cognition between social observation and social interaction, and demonstrate that simple ostensive cues may shift participants' experience, behavior, and brain activity between these modes. The identification of a distinct, interactive mode has implications for research on social cognition, both in everyday life and in clinical conditions.
An integrated model of feedback-seeking behavior: disposition, context, and cognition.
VandeWalle, D; Ganesan, S; Challagalla, G N; Brown, S P
2000-12-01
This study replicates, integrates, and extends prior research on the dispositional, contextual, and cognitive antecedents of feedback-seeking behavior. Regression analysis was used to analyze data collected from a sample of salespeople (N = 310) from 2 Fortune 500 companies. The study hypotheses were supported with the following results. First, the individual disposition of learning goal orientation and the contextual factors of leader consideration and leader initiation of structure influenced cognitions about the perceived cost and value of feedback seeking. Second, the strength of the relationship of learning goal orientation with the cost and value perceptions was moderated by the leadership style of the supervisor.
Application of the Self-Regulatory Model in Dealing with Encopresis.
ERIC Educational Resources Information Center
Grimes, Lynn
1983-01-01
Behavioral techniques along with a self-regulation methodology were used successfully to decrease encopretic behaviors in a 9-year-old male. Kanfer's self-regulatory model appears to be generalizable to any child with the cognitive ability to understand that he or she has a problem and to make decisions about treatment. (Author/PN)
Pattern Separation and Goal-Directed Behavior in the Aged Canine
ERIC Educational Resources Information Center
Snigdha, Shikha; Yassa, Michael A.; deRivera, Christina; Milgram, Norton W.; Cotman, Carl W.
2017-01-01
The pattern separation task has recently emerged as a behavioral model of hippocampus function and has been used in several pharmaceutical trials. The canine is a useful model to evaluate a multitude of hippocampal-dependent cognitive tasks that parallel those in humans. Thus, this study was designed to evaluate the suitability of pattern…
Xu, Yaoshan; Li, Yongjuan; Zhang, Feng
2013-01-01
The present study investigates the determining factors of Chinese pedestrians' intention to violate traffic laws using a dual-process model. This model divides the cognitive processes of intention formation into controlled analytical processes and automatic associative processes. Specifically, the process explained by the augmented theory of planned behavior (TPB) is controlled, whereas the process based on past behavior is automatic. The results of a survey conducted on 323 adult pedestrian respondents showed that the two added TPB variables had different effects on the intention to violate, i.e., personal norms were significantly related to traffic violation intention, whereas descriptive norms were non-significant predictors. Past behavior significantly but uniquely predicted the intention to violate: the results of the relative weight analysis indicated that the largest percentage of variance in pedestrians' intention to violate was explained by past behavior (42%). According to the dual-process model, therefore, pedestrians' intention formation relies more on habit than on cognitive TPB components and social norms. The implications of these findings for the development of intervention programs are discussed. Copyright © 2012 Elsevier Ltd. All rights reserved.
Evaluation of physical activity web sites for use of behavior change theories.
Doshi, Amol; Patrick, Kevin; Sallis, James F; Calfas, Karen
2003-01-01
Physical activity (PA) Web sites were assessed for their use of behavior change theories, including constructs of the health belief model, Transtheoretical Model, social cognitive theory, and the theory of reasoned action and planned behavior. An evaluation template for assessing PA Web sites was developed, and content validity and interrater reliability were demonstrated. Two independent raters evaluated 24 PA Web sites. Web sites varied widely in application of theory-based constructs, ranging from 5 to 48 on a 100-point scale. The most common intervention strategies were general information, social support, and realistic goal areas. Coverage of theory-based strategies was low, varying from 26% for social cognitive theory to 39% for health belief model. Overall, PA Web sites provided little assessment, feedback, or individually tailored assistance for users. They were unable to substantially tailor the on-line experience for users at different stages of change or different demographic characteristics.
Critical branching neural networks.
Kello, Christopher T
2013-01-01
It is now well-established that intrinsic variations in human neural and behavioral activity tend to exhibit scaling laws in their fluctuations and distributions. The meaning of these scaling laws is an ongoing matter of debate between isolable causes versus pervasive causes. A spiking neural network model is presented that self-tunes to critical branching and, in doing so, simulates observed scaling laws as pervasive to neural and behavioral activity. These scaling laws are related to neural and cognitive functions, in that critical branching is shown to yield spiking activity with maximal memory and encoding capacities when analyzed using reservoir computing techniques. The model is also shown to account for findings of pervasive 1/f scaling in speech and cued response behaviors that are difficult to explain by isolable causes. Issues and questions raised by the model and its results are discussed from the perspectives of physics, neuroscience, computer and information sciences, and psychological and cognitive sciences.
Welp, Annalena; Meier, Laurenz L; Manser, Tanja
2016-04-19
Effectively managing patient safety and clinicians' emotional exhaustion are important goals of healthcare organizations. Previous cross-sectional studies showed that teamwork is associated with both. However, causal relationships between all three constructs have not yet been investigated. Moreover, the role of different dimensions of teamwork in relation to emotional exhaustion and patient safety is unclear. The current study focused on the long-term development of teamwork, emotional exhaustion, and patient safety in interprofessional intensive care teams by exploring causal relationships between these constructs. A secondary objective was to disentangle the effects of interpersonal and cognitive-behavioral teamwork. We employed a longitudinal study design. Participants were 2100 nurses and physicians working in 55 intensive care units. They answered an online questionnaire on interpersonal and cognitive-behavioral aspects of teamwork, emotional exhaustion, and patient safety at three time points with a 3-month lag. Data were analyzed with cross-lagged structural equation modeling. We controlled for professional role. Analyses showed that emotional exhaustion had a lagged effect on interpersonal teamwork. Furthermore, interpersonal and cognitive-behavioral teamwork mutually influenced each other. Finally, cognitive-behavioral teamwork predicted clinician-rated patient safety. The current study shows that the interrelations between teamwork, clinician burnout, and clinician-rated patient safety unfold over time. Interpersonal and cognitive-behavioral teamwork play specific roles in a process leading from clinician emotional exhaustion to decreased clinician-rated patient safety. Emotionally exhausted clinicians are less able to engage in positive interpersonal teamwork, which might set in motion a vicious cycle: negative interpersonal team interactions negatively affect cognitive-behavioral teamwork and vice versa. Ultimately, ineffective cognitive-behavioral teamwork negatively impacts clinician-rated patient safety. Thus, reducing clinician emotional exhaustion is an important prerequisite of managing teamwork and patient safety. From a practical point of view, team-based interventions targeting patient safety are less likely to be effective when clinicians are emotionally exhausted.
Ingber, Adam P.; Hassenstab, Jason; Fagan, Anne M.; Benzinger, Tammie L.S.; Grant, Elizabeth A.; Holtzman, David M.; Morris, John C.; Roe, Catherine M.
2016-01-01
Background The influence of reserve variables and Alzheimer’s disease (AD) biomarkers on cognitive test performance has been fairly well-characterized. However, less is known about the influence of these factors on “non-cognitive” outcomes, including functional abilities and mood. Objective We examined whether cognitive and brain reserve variables mediate how AD biomarker levels in cognitively normal persons predict future changes in function, mood, and neuropsychiatric behavior. Methods Non-cognitive outcomes were examined in 328 individuals 50 years and older enrolled in ongoing studies of aging and dementia at the Knight Alzheimer Disease Research Center (ADRC). All participants were cognitively normal at baseline (Clinical Dementia Rating [CDR] 0), completed cerebrospinal fluid (CSF) and structural neuroimaging studies within one year of baseline, and were followed for an average of 4.6 annual visits. Linear mixed effects models explored how cognitive reserve and brain reserve variables mediate the relationships between AD biomarker levels and changes in function, mood, and neuropsychiatric behavior in cognitively normal participants. Results Education levels did not have a significant effect on predicting non-cognitive decline. However, participants with smaller brain volumes exhibited the worst outcomes on measures of mood, functional abilities, and behavioral disturbance. This effect was most pronounced in individuals who also had abnormal CSF biomarkers. Conclusions The findings suggest that brain reserve plays a stronger, or earlier, role than cognitive reserve in protecting against non-cognitive impairment in AD. PMID:27104893
Soontornniyomkij, Virawudh; Kesby, James P.; Morgan, Erin E.; Bischoff-Grethe, Amanda; Minassian, Arpi; Brown, Gregory G.; Grant, Igor
2016-01-01
Methamphetamine (Meth) use is frequent among HIV-infected persons. Combined HIV and Meth insults may exacerbate neural injury in vulnerable neuroanatomic structures or circuitries in the brain, leading to increased behavioral disturbance and cognitive impairment. While acute and chronic effects of Meth in humans and animal models have been studied for decades, the neurobehavioral effects of Meth in the context of HIV infection are much less explored. In-depth understanding of the scope of neurobehavioral phenotypes and mechanisms in HIV/Meth intersection is needed. The present report summarizes published research findings, as well as unpublished data, in humans and animal models with regard to neurobehavioral disturbance, neuroimaging, and neuropathology, and in vitro experimental systems, with an emphasis on findings emerging from the National Institute on Drug Abuse (NIDA) funded Translational Methamphetamine AIDS Research Center (TMARC). Results from human studies and animal (primarily HIV-1 gp120 transgenic mouse) models thus far suggest that combined HIV and Meth insults increase the likelihood of neural injury in the brain. The neurobehavioral effects include cognitive impairment and increased tendencies toward impaired behavioral inhibition and social cognition. These impairments are relevant to behaviors that affect personal and social risks, e.g. worse medication adherence, riskier behaviors, and greater likelihood of HIV transmission. The underlying mechanisms may include electrochemical changes in neuronal circuitries, injury to white matter microstructures, synaptodendritic damage, and selective neuronal loss. Utilization of research methodologies that are valid across species is instrumental in generating new knowledge with clinical translational value. PMID:27484318
Soontornniyomkij, Virawudh; Kesby, James P; Morgan, Erin E; Bischoff-Grethe, Amanda; Minassian, Arpi; Brown, Gregory G; Grant, Igor
2016-09-01
Methamphetamine (Meth) use is frequent among HIV-infected persons. Combined HIV and Meth insults may exacerbate neural injury in vulnerable neuroanatomic structures or circuitries in the brain, leading to increased behavioral disturbance and cognitive impairment. While acute and chronic effects of Meth in humans and animal models have been studied for decades, the neurobehavioral effects of Meth in the context of HIV infection are much less explored. In-depth understanding of the scope of neurobehavioral phenotypes and mechanisms in HIV/Meth intersection is needed. The present report summarizes published research findings, as well as unpublished data, in humans and animal models with regard to neurobehavioral disturbance, neuroimaging, and neuropathology, and in vitro experimental systems, with an emphasis on findings emerging from the National Institute on Drug Abuse (NIDA) funded Translational Methamphetamine AIDS Research Center (TMARC). Results from human studies and animal (primarily HIV-1 gp120 transgenic mouse) models thus far suggest that combined HIV and Meth insults increase the likelihood of neural injury in the brain. The neurobehavioral effects include cognitive impairment and increased tendencies toward impaired behavioral inhibition and social cognition. These impairments are relevant to behaviors that affect personal and social risks, e.g. worse medication adherence, riskier behaviors, and greater likelihood of HIV transmission. The underlying mechanisms may include electrochemical changes in neuronal circuitries, injury to white matter microstructures, synaptodendritic damage, and selective neuronal loss. Utilization of research methodologies that are valid across species is instrumental in generating new knowledge with clinical translational value.
Behavioral Dynamics in the Cooperative Control of Mixed Human/Robotic Teams
2015-01-05
models of cognitive and social psychology play a major role in the work. A particular objective is to develop a fundamental understanding of how...dynamics. In addition to exploring cognitive and social psychological aspects of decision making, research is focused on formal approaches to...SUBJECT TERMS human-machine interactions, two-alternative-forced-choice (TAFC), cognitive and social psychological aspects of decision making, action
ERIC Educational Resources Information Center
Huang, Hsin-Ping; Yore, Larry D.
This study explored the cultural influences on children's self-reported environmental actions, perceptions, and understandings; investigated the relationships among the behavioral, affective, cognitive, and demographic variables; and developed models of children's responsible environmental behavior (Huang, 2001). The cross-cultural comparison…
Mediational Modification of Creative Behaviors.
ERIC Educational Resources Information Center
Russell, Crawford L.
1981-01-01
Adapting the cognitive behavior modification work of Bandura and Mahoney, the author suggests a "mediational approach" to teaching creativity in the art classroom; here the desired behavior is modeled, guided experience is offered for practice, then reward in the form of approval is given for successful completion of the event. (Editor/SJL)
Reducing Teacher Stress by Implementing Collaborative Problem Solving in a School Setting
ERIC Educational Resources Information Center
Schaubman, Averi; Stetson, Erica; Plog, Amy
2011-01-01
Student behavior affects teacher stress levels and the student-teacher relationship. In this pilot study, teachers were trained in Collaborative Problem Solving (CPS), a cognitive-behavioral model that explains challenging behavior as the result of underlying deficits in the areas of flexibility/adaptability, frustration tolerance, and problem…
Intervention Fidelity in Family-Based Prevention Counseling for Adolescent Problem Behaviors
ERIC Educational Resources Information Center
Hogue, Aaron; Liddle, Howard A.; Singer, Alisa; Leckrone, Jodi
2005-01-01
This study examined fidelity in multidimensional family prevention (MDFP), a family-based prevention counseling model for adolescents at high risk for substance abuse and related behavior problems, in comparison to two empirically based treatments for adolescent drug abuse: multidimensional family therapy (MDFT) and cognitive-behavioral therapy…
Oberholzer, Inge; Möller, Marisa; Holland, Brendan; Dean, Olivia M; Berk, Michael; Harvey, Brian H
2018-04-01
There is abundant evidence for both disorganized redox balance and cognitive deficits in major depressive disorder (MDD). Garcinia mangostana Linn (GM) has anti-oxidant activity. We studied the antidepressant-like and pro-cognitive effects of raw GM rind in Flinders Sensitive Line (FSL) rats, a genetic model of depression, following acute and chronic treatment compared to a reference antidepressant, imipramine (IMI). The chemical composition of the GM extract was analysed for levels of α- and γ-mangostin. The acute dose-dependent effects of GM (50, 150 and 200 mg/kg po), IMI (20 mg/kg po) and vehicle were determined in the forced swim test (FST) in FSL rats, versus Flinders Resistant Line (FRL) control rats. Locomotor testing was conducted using the open field test (OFT). Using the most effective dose above coupled with behavioral testing in the FST and cognitive assessment in the novel object recognition test (nORT), a fixed dose 14-day treatment study of GM was performed and compared to IMI- (20 mg/kg/day) and vehicle-treated animals. Chronic treated animals were also assessed with respect to frontal cortex and hippocampal monoamine levels and accumulation of malondialdehyde. FSL rats showed significant cognitive deficits and depressive-like behavior, with disordered cortico-hippocampal 5-hydroxyindole acetic acid (5-HIAA) and noradrenaline (NA), as well as elevated hippocampal lipid peroxidation. Acute and chronic IMI treatment evoked pronounced antidepressant-like effects. Raw GM extract contained 117 mg/g and 11 mg/g α- and γ-mangostin, respectively, with acute GM demonstrating antidepressant-like effects at 50 mg/kg/day. Chronic GM (50 mg/kg/d) displayed significant antidepressant- and pro-cognitive effects, while demonstrating parity with IMI. Both behavioral and monoamine assessments suggest a more prominent serotonergic action for GM as opposed to a noradrenergic action for IMI, while both IMI and GM reversed hippocampal lipid peroxidation in FSL animals. Concluding, FSL rats present with cognitive deficits and depressive-like behaviors that are reversed by acute and chronic GM treatment, similar to that of IMI.
Hoeger, Harald; Bubna-Littitz, Herrmann; Engelmann, Mario; Schwerdtner, Ingrid; Schmid, Diethard; Lahoda, Robert; Seidl, Rainer; Lubec, Gert; Lubec, Barbara
2003-07-01
In a recent publication, we described neurodegeneration along with neurotransmitter deficits and impaired differentiation in the guinea pig 3 months following severe perinatal asphyxia (PA). We were therefore interested in the clinical features in terms of neurology, cognitive functions, and behavior. We tested the long-term effects of PA in an animal model, which in the rat are well documented and resemble the clinical situation. Examinations consisted of an observational battery for motor and reflex functions and the acoustic startle response setting. We tested cognitive functions in the multiple T-maze and evaluated behavior using the elevated plus maze and open field studies. No neurologic deficits were observed in the observational battery, including the acoustic startle response. Cognitive functions of memory and learning were not impaired in the multiple T-maze. In the open field and in the elevated plus maze, the system to test anxiety-related behavior, guinea pigs performed well. Our findings of patent neurology, cognitive functions, and behavior do not reflect the prominent morphologic findings of neurodegeneration. This is in agreement with corresponding studies on PA in the rat at the identical time point. We learned from this study that both test systems, although representing the standard in neuroscience, are either not sensitive enough or central nervous system lesions are clinically fully compensated.
2014-01-01
Background Questions remain regarding the sustainment of evidence-based practices following implementation. The present study examined the sustainment of community clinicians’ implementation (i.e., penetration) of cognitive-behavioral therapy, attitudes toward evidence-based practices, and knowledge of cognitive-behavioral therapy for youth anxiety two years following training and consultation in cognitive-behavioral therapy for youth anxiety. Methods Of the original 115 participants, 50 individuals (43%) participated in the two-year follow-up. A t- test examined sustainment in penetration over time. Hierarchical linear modeling examined sustainment in knowledge and attitudes over time. Time spent in consultation sessions was examined as a potential moderator of the change in knowledge and attitudes. Results Findings indicated sustained self-reported penetration of cognitive-behavioral therapy for anxious youth, with low fidelity to some key CBT components (i.e., exposure tasks). Follow-up knowledge was higher than at baseline but lower than it had been immediately following the consultation phase of the study. Belief in the utility of evidence-based practices was sustained. Willingness to implement an evidence-based practice if required to do so, appeal of evidence-based practices, and openness toward evidence-based practices were not sustained. Participation in consultation positively moderated changes in knowledge and some attitudes. Conclusions Sustainment varied depending on the outcome examined. Generally, greater participation in consultation predicted greater sustainment. Implications for future training include higher dosages of consultation. PMID:25030651
ERIC Educational Resources Information Center
Li, Wenjing; Denson, Linley A.; Dorstyn, Diana S.
2017-01-01
This study investigated help-seeking intentions and use of mental health services within a sample of 1128 Mainland Chinese college students (630 males and 498 females; mean age = 20.01 years, SD = 1.48). Results of structural equation modeling and logistic regression analysis suggested that social-cognitive variables had significant effects both…
Aniracetam does not alter cognitive and affective behavior in adult C57BL/6J mice.
Elston, Thomas W; Pandian, Ashvini; Smith, Gregory D; Holley, Andrew J; Gao, Nanjing; Lugo, Joaquin N
2014-01-01
There is a growing community of individuals who self-administer the nootropic aniracetam for its purported cognitive enhancing effects. Aniracetam is believed to be therapeutically useful for enhancing cognition, alleviating anxiety, and treating various neurodegenerative conditions. Physiologically, aniracetam enhances both glutamatergic neurotransmission and long-term potentiation. Previous studies of aniracetam have demonstrated the cognition-restoring effects of acute administration in different models of disease. No previous studies have explored the effects of aniracetam in healthy subjects. We investigated whether daily 50 mg/kg oral administration improves cognitive performance in naïve C57BL/6J mice in a variety of aspects of cognitive behavior. We measured spatial learning in the Morris water maze test; associative learning in the fear conditioning test; motor learning in the accelerating rotarod test; and odor discrimination. We also measured locomotion in the open field test, anxiety through the elevated plus maze test and by measuring time in the center of the open field test. We measured repetitive behavior through the marble burying test. We detected no significant differences between the naive, placebo, and experimental groups across all measures. Despite several studies demonstrating efficacy in impaired subjects, our findings suggest that aniracetam does not alter behavior in normal healthy mice. This study is timely in light of the growing community of healthy humans self-administering nootropic drugs.
Aniracetam Does Not Alter Cognitive and Affective Behavior in Adult C57BL/6J Mice
Elston, Thomas W.; Pandian, Ashvini; Smith, Gregory D.; Holley, Andrew J.; Gao, Nanjing; Lugo, Joaquin N.
2014-01-01
There is a growing community of individuals who self-administer the nootropic aniracetam for its purported cognitive enhancing effects. Aniracetam is believed to be therapeutically useful for enhancing cognition, alleviating anxiety, and treating various neurodegenerative conditions. Physiologically, aniracetam enhances both glutamatergic neurotransmission and long-term potentiation. Previous studies of aniracetam have demonstrated the cognition-restoring effects of acute administration in different models of disease. No previous studies have explored the effects of aniracetam in healthy subjects. We investigated whether daily 50 mg/kg oral administration improves cognitive performance in naïve C57BL/6J mice in a variety of aspects of cognitive behavior. We measured spatial learning in the Morris water maze test; associative learning in the fear conditioning test; motor learning in the accelerating rotarod test; and odor discrimination. We also measured locomotion in the open field test, anxiety through the elevated plus maze test and by measuring time in the center of the open field test. We measured repetitive behavior through the marble burying test. We detected no significant differences between the naive, placebo, and experimental groups across all measures. Despite several studies demonstrating efficacy in impaired subjects, our findings suggest that aniracetam does not alter behavior in normal healthy mice. This study is timely in light of the growing community of healthy humans self-administering nootropic drugs. PMID:25099639
Culture shapes the evolution of cognition.
Thompson, Bill; Kirby, Simon; Smith, Kenny
2016-04-19
A central debate in cognitive science concerns the nativist hypothesis, the proposal that universal features of behavior reflect a biologically determined cognitive substrate: For example, linguistic nativism proposes a domain-specific faculty of language that strongly constrains which languages can be learned. An evolutionary stance appears to provide support for linguistic nativism, because coordinated constraints on variation may facilitate communication and therefore be adaptive. However, language, like many other human behaviors, is underpinned by social learning and cultural transmission alongside biological evolution. We set out two models of these interactions, which show how culture can facilitate rapid biological adaptation yet rule out strong nativization. The amplifying effects of culture can allow weak cognitive biases to have significant population-level consequences, radically increasing the evolvability of weak, defeasible inductive biases; however, the emergence of a strong cultural universal does not imply, nor lead to, nor require, strong innate constraints. From this we must conclude, on evolutionary grounds, that the strong nativist hypothesis for language is false. More generally, because such reciprocal interactions between cultural and biological evolution are not limited to language, nativist explanations for many behaviors should be reconsidered: Evolutionary reasoning shows how we can have cognitively driven behavioral universals and yet extreme plasticity at the level of the individual-if, and only if, we account for the human capacity to transmit knowledge culturally. Wherever culture is involved, weak cognitive biases rather than strong innate constraints should be the default assumption.
Specificity and Modifiability of Cognitive Biases in Hypochondriasis
ERIC Educational Resources Information Center
Gropalis, Maria; Bleichhardt, Gaby; Hiller, Wolfgang; Witthoft, Michael
2013-01-01
Objective: According to cognitive-behavioral models of hypochondriasis (HYP), biased attentional and memory processes related to health threat stimuli are crucial for the development and maintenance of severe health anxiety. Little is known about the specificity, temporal stability, and modifiability of these biases via psychotherapy. Method: In…
Correlates of health and financial literacy in older adults without dementia
2012-01-01
Background Recent research has begun to recognize the important influence of literacy levels and how they affect health and wellbeing, especially in older adults. Our study focuses on health and financial literacy, two domains of literacy which previous research has suggested may be significantly related to health and wellbeing. Our study examines the relation of health and financial literacy with health promoting behaviors and health status among community-based older persons. Methods We conducted a cross-sectional study using data from the Rush Memory and Aging Project, a community-based cohort study of aging in northeastern Illinois. The study consisted of 556 older persons without dementia, each determined by a clinical evaluation. Health and financial literacy were measured using a series of questions designed to assess the ability to understand and process health and financial information, concepts, and numeracy; the two scores were averaged to yield a total literacy score. Health promoting behaviors, including engagement in cognitive, physical, and social activities, were assessed using self report measures. Indicators of heath status, including cognition (global cognition and five specific cognitive abilities), functional status (basic and instrumental activities of daily living, mobility disability), and mental health (depressive symptoms, loneliness) were assessed. Results In a series of regression models adjusted for age, sex, and education, higher total literacy scores were associated with more frequent participation in health promoting behaviors, including cognitive, physical and social activities (all p values <0.05). Higher total literacy scores were associated with higher cognitive function, less disability, and better mental health (all p values < 0.05). Literacy remained associated with health promoting behaviors and health status in fully adjusted models that also controlled for income and the number of chronic medical conditions. Most of the findings were similar for health and financial literacy except that health literacy was more strongly associated with health promoting behaviors whereas financial literacy was more strongly associated with mental health. Conclusions Health and financial literacy are associated with more frequent engagement in health promoting behaviors and better health status in older persons without dementia. PMID:22691341
Correlates of health and financial literacy in older adults without dementia.
Bennett, Jarred S; Boyle, Patricia A; James, Bryan D; Bennett, David A
2012-06-12
Recent research has begun to recognize the important influence of literacy levels and how they affect health and wellbeing, especially in older adults. Our study focuses on health and financial literacy, two domains of literacy which previous research has suggested may be significantly related to health and wellbeing. Our study examines the relation of health and financial literacy with health promoting behaviors and health status among community-based older persons. We conducted a cross-sectional study using data from the Rush Memory and Aging Project, a community-based cohort study of aging in northeastern Illinois. The study consisted of 556 older persons without dementia, each determined by a clinical evaluation. Health and financial literacy were measured using a series of questions designed to assess the ability to understand and process health and financial information, concepts, and numeracy; the two scores were averaged to yield a total literacy score. Health promoting behaviors, including engagement in cognitive, physical, and social activities, were assessed using self report measures. Indicators of heath status, including cognition (global cognition and five specific cognitive abilities), functional status (basic and instrumental activities of daily living, mobility disability), and mental health (depressive symptoms, loneliness) were assessed. In a series of regression models adjusted for age, sex, and education, higher total literacy scores were associated with more frequent participation in health promoting behaviors, including cognitive, physical and social activities (all p values <0.05). Higher total literacy scores were associated with higher cognitive function, less disability, and better mental health (all p values < 0.05). Literacy remained associated with health promoting behaviors and health status in fully adjusted models that also controlled for income and the number of chronic medical conditions. Most of the findings were similar for health and financial literacy except that health literacy was more strongly associated with health promoting behaviors whereas financial literacy was more strongly associated with mental health. Health and financial literacy are associated with more frequent engagement in health promoting behaviors and better health status in older persons without dementia.
Papas, Rebecca K; Gakinya, Benson N; Baliddawa, Joyce B; Martino, Steve; Bryant, Kendall J; Meslin, Eric M; Sidle, John E
2012-07-01
Epidemics of both HIV/AIDS and alcohol abuse in sub-Saharan Africa have spurred the conduct of local behavioral therapy trials for these problems, but the ethical issues involved in these trials have not been fully examined. In this paper, we discuss ethical issues that emerged during the conduct of a behavioral intervention adaptation and trial using cognitive-behavioral therapy to reduce alcohol use among HIV-infected outpatients in Eldoret, Kenya. The study was performed within our multinational collaboration, the USAID-Academic Model Providing Access to Healthcare Partnership. We discuss relevant ethical considerations and how we addressed them.
Papas, Rebecca K.; Gakinya, Benson N.; Baliddawa, Joyce B.; Martino, Steve; Bryant, Kendall J.; Meslin, Eric M.; Sidle, John E.
2013-01-01
Epidemics of both HIV/AIDS and alcohol abuse in sub-Saharan Africa have spurred the conduct of local behavioral therapy trials for these problems, but the ethical issues involved in these trials have not been fully examined. In this paper, we discuss ethical issues that emerged during the conduct of a behavioral intervention adaptation and trial using cognitive-behavioral therapy to reduce alcohol use among HIV-infected outpatients in Eldoret, Kenya. The study was performed within our multinational collaboration, the USAID-Academic Model Providing Access to Healthcare Partnership. We discuss relevant ethical considerations and how we addressed them. PMID:22850141
May, Philip A.; Tabachnick, Barbara G.; Gossage, J. Phillip; Kalberg, Wendy O.; Marais, Anna-Susan; Robinson, Luther K.; Manning, Melanie A.; Blankenship, Jason; Buckley, David; Hoyme, H. Eugene; Adnams, Colleen M.
2013-01-01
Objective To provide an analysis of multiple predictors of cognitive and behavioral traits for children with fetal alcohol spectrum disorders (FASD). Method Multivariate correlation techniques were employed with maternal and child data from epidemiologic studies in a community in South Africa. Data on 561 first grade children with fetal alcohol syndrome (FAS), partial FAS (PFAS), and not FASD and their mothers were analyzed by grouping 19 maternal variables into categories (physical, demographic, childbearing, and drinking) and employed in structural equation models (SEM) to assess correlates of child intelligence (verbal and non-verbal) and behavior. Results A first SEM utilizing only seven maternal alcohol use variables to predict cognitive/behavioral traits was statistically significant (B = 3.10, p < .05), but explained only 17.3% of the variance. The second model incorporated multiple maternal variables and was statistically significant explaining 55.3% of the variance. Significantly correlated with low intelligence and problem behavior were demographic (B = 3.83, p < .05) (low maternal education, low socioeconomic status (SES), and rural residence) and maternal physical characteristics (B = 2.70, p < .05) (short stature, small head circumference, and low weight). Childbearing history and alcohol use composites were not statistically significant in the final complex model, and were overpowered by SES and maternal physical traits. Conclusions While other analytic techniques have amply demonstrated the negative effects of maternal drinking on intelligence and behavior, this highly-controlled analysis of multiple maternal influences reveals that maternal demographics and physical traits make a significant enabling or disabling contribution to child functioning in FASD. PMID:23751886
Aalsma, Matthew C; Woodrome, Stacy E; Downs, Sarah M; Hensel, Devon J; Zimet, Gregory D; Orr, Don P; Fortenberry, J Dennis
2013-12-01
Understanding the role of socio-sexual cognitions and religiosity on adolescent sexual behavior could guide adolescent sexual health efforts. The present study utilized longitudinal data from 328 young women to assess the role of religion and socio-sexual cognitions on sexual behavior accrual (measuring both coital and non-coital sexual behavior). In the final triple conditional trajectory structural equation model, religiosity declined over time and then increased to baseline levels. Additionally, religiosity predicted decreased sexual conservatism and decreased sexual conservatism predicted increased sexual behavior. The final models are indicative of young women's increasing accrual of sexual experience, decreasing sexual conservatism and initial decreasing religiosity. The results of this study suggest that decreased religiosity affects the accrual of sexual experience through decreased sexual conservatism. Effective strategies of sexual health promotion should include an understanding of the complex role of socio-sexual attitudes with religiosity. Copyright © 2013 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.
NASA Technical Reports Server (NTRS)
Hutto, Clayton; Briscoe, Erica; Trewhitt, Ethan
2012-01-01
Societal level macro models of social behavior do not sufficiently capture nuances needed to adequately represent the dynamics of person-to-person interactions. Likewise, individual agent level micro models have limited scalability - even minute parameter changes can drastically affect a model's response characteristics. This work presents an approach that uses agent-based modeling to represent detailed intra- and inter-personal interactions, as well as a system dynamics model to integrate societal-level influences via reciprocating functions. A Cognitive Network Model (CNM) is proposed as a method of quantitatively characterizing cognitive mechanisms at the intra-individual level. To capture the rich dynamics of interpersonal communication for the propagation of beliefs and attitudes, a Socio-Cognitive Network Model (SCNM) is presented. The SCNM uses socio-cognitive tie strength to regulate how agents influence--and are influenced by--one another's beliefs during social interactions. We then present experimental results which support the use of this network analytical approach, and we discuss its applicability towards characterizing and understanding human information processing.
Imitation of live and televised models by children one to three years of age.
McCall, R B; Parke, R D; Kavanaugh, R D
1977-01-01
The results of these studies indicated that children younger than 1 year possess the cognitive capability of translating a perception of a novel action into their own behavior. However, the likelihood of imitation varied as a function of the nature of the target behavior. For example, actions requiring direct social commerce with the examiner were imitated less frequently than simple motor behaviors with objects, and reproducing gestures was more common than vocalizations. Moreover, imitation seemed to depend upon the child's level of mental development--the imitation of coordinated sequences, which requires the child to associate two external events, lagged behind the imitation of single-unit behaviors. There was no evidence for individual traits of general imitativeness, at least not until symbolic relations were involved. Live models were imitated more than TV models but only prior to age 3. While children under 2 years of age were not facile at imitating sequences of behaviors or delaying performance at short time after modeling, older toddlers readily and accurately imitated televised sequences even after a 24-hour delay. Whereas socially extroverted and fearless children imitated live models more than shy children, TV imitation was not related to temperament, home TV viewing habits, or parental education. Finally, the experience of being imitated may facilitate the social cognition of influencing another person.
An integrative model linking feedback environment and organizational citizenship behavior.
Peng, Jei-Chen; Chiu, Su-Fen
2010-01-01
Past empirical evidence has suggested that a positive supervisor feedback environment may enhance employees' organizational citizenship behavior (OCB). In this study, we aim to extend previous research by proposing and testing an integrative model that examines the mediating processes underlying the relationship between supervisor feedback environment and employee OCB. Data were collected from 259 subordinate-supervisor dyads across a variety of organizations in Taiwan. We used structural equation modeling to test our hypotheses. The results demonstrated that supervisor feedback environment influenced employees' OCB indirectly through (1) both positive affective-cognition and positive attitude (i.e., person-organization fit and organizational commitment), and (2) both negative affective-cognition and negative attitude (i.e., role stressors and job burnout). Theoretical and practical implications are discussed.
Autopoiesis and cognition in the game of life.
Beer, Randall D
2004-01-01
Maturana and Varela's notion of autopoiesis has the potential to transform the conceptual foundation of biology as well as the cognitive, behavioral, and brain sciences. In order to fully realize this potential, however, the concept of autopoiesis and its many consequences require significant further theoretical and empirical development. A crucial step in this direction is the formulation and analysis of models of autopoietic systems. This article sketches the beginnings of such a project by examining a glider from Conway's game of life in autopoietic terms. Such analyses can clarify some of the key ideas underlying autopoiesis and draw attention to some of the central open issues. This article also examines the relationship between an autopoietic perspective on cognition and recent work on dynamical approaches to the behavior and cognition of situated, embodied agents.
Bayesian modeling of flexible cognitive control
Jiang, Jiefeng; Heller, Katherine; Egner, Tobias
2014-01-01
“Cognitive control” describes endogenous guidance of behavior in situations where routine stimulus-response associations are suboptimal for achieving a desired goal. The computational and neural mechanisms underlying this capacity remain poorly understood. We examine recent advances stemming from the application of a Bayesian learner perspective that provides optimal prediction for control processes. In reviewing the application of Bayesian models to cognitive control, we note that an important limitation in current models is a lack of a plausible mechanism for the flexible adjustment of control over conflict levels changing at varying temporal scales. We then show that flexible cognitive control can be achieved by a Bayesian model with a volatility-driven learning mechanism that modulates dynamically the relative dependence on recent and remote experiences in its prediction of future control demand. We conclude that the emergent Bayesian perspective on computational mechanisms of cognitive control holds considerable promise, especially if future studies can identify neural substrates of the variables encoded by these models, and determine the nature (Bayesian or otherwise) of their neural implementation. PMID:24929218
2015-01-01
effectiveness of such trainings or of intervention behaviors. The model is consistent with Bandura’s social cognitive theory , which posits that...interactions between environmental and personal factors influence the learning of new behav- ior ( Bandura , 2001). The model is depicted in Figure 1. In the...A., “ Social Cognitive Theory : An Agentic Perspective,” Annual Review of Clinical Psychology, Vol. 52, 2001, pp. 1–26. Bean, G., and K. M. Baber
Castonguay, Andree L; Gilchrist, Jenna D; Mack, Diane E; Sabiston, Catherine M
2013-06-01
This study explored body-related emotional experiences of pride in young adult males (n=138) and females (n=165). Data were collected using a relived emotion task and analyzed using inductive content analysis. Thirty-nine codes were identified and grouped into six categories (triggers, contexts, cognitive attributions, and affective, cognitive, and behavioral outcomes) for each of two themes (hubristic and authentic pride). Hubristic pride triggers included evaluating appearance/fitness as superior. Cognitions centered on feelings of superiority. Behaviors included strategies to show off. Triggers for authentic pride were personal improvements/maintenance in appearance and meeting or exceeding goals. Feeling accomplished was a cognitive outcome, and physical activity was a behavioral strategy. Contexts for the experience of both facets of pride primarily involved sports settings, swimming/beach, and clothes shopping. These findings provide theoretical support for models of pride as it applies to body image, and advances conceptual understanding of positive body image. Copyright © 2013 Elsevier Ltd. All rights reserved.
Otto, A Ross; Gershman, Samuel J; Markman, Arthur B; Daw, Nathaniel D
2013-05-01
A number of accounts of human and animal behavior posit the operation of parallel and competing valuation systems in the control of choice behavior. In these accounts, a flexible but computationally expensive model-based reinforcement-learning system has been contrasted with a less flexible but more efficient model-free reinforcement-learning system. The factors governing which system controls behavior-and under what circumstances-are still unclear. Following the hypothesis that model-based reinforcement learning requires cognitive resources, we demonstrated that having human decision makers perform a demanding secondary task engenders increased reliance on a model-free reinforcement-learning strategy. Further, we showed that, across trials, people negotiate the trade-off between the two systems dynamically as a function of concurrent executive-function demands, and people's choice latencies reflect the computational expenses of the strategy they employ. These results demonstrate that competition between multiple learning systems can be controlled on a trial-by-trial basis by modulating the availability of cognitive resources.
A review of the outcome expectancy construct in physical activity research.
Williams, David M; Anderson, Eileen S; Winett, Richard A
2005-02-01
Outcome expectancy is a central construct in social cognitive models of health behavior widely used as frameworks for physical activity research. This article provides a review of the outcome expectancy construct and its application to research on physical activity. Theoretical articles describing definitions and placement of outcome expectancy within social cognitive models, as well as empirical research on outcome expectancy and physical activity, were reviewed. Self-efficacy theory, the transtheoretical model, the theory of planned behavior, and protection motivation theory differ in their labeling and conceptualization of outcome expectancy but unanimously include expected outcomes of behavior. Preliminary empirical investigation of the role of outcome expectancy in understanding physical activity has yielded mixed results. Positive outcome expectancy appears to be more predictive of physical activity in older adults than in young to middle-aged adults, and personal barriers appear to be the most predictive subtype of negative outcome expectancy. In addition, a small number of studies indicate relations between outcome expectancy and other theoretical variables, including behavioral intention, stage of change, and self-efficacy. Further research on the role of outcome expectancy is necessary to design effective physical activity interventions. New directions in outcome expectancy research could involve (a) expanding the conceptualization of outcome expectancy to include expected outcomes of sedentary behavior and affective responses to physical activity, (b) further examination of potential moderators of the relation between outcome expectancy and physical activity (such as outcome value and outcome proximity), (c) distinguishing between the role of outcome expectancy in behavior onset versus behavior maintenance, (d) examining outcome expectancy as a mechanism of change in environmental intervention approaches, and (e) further analysis of interrelations between outcome expectancy and other social cognitive variables.
Modeling Environmental Impacts on Cognitive Performance for Artificially Intelligent Entities
2017-06-01
of the agent behavior model is presented in a military-relevant virtual game environment. We then outline a quantitative approach to test the agent...relevant virtual game environment. We then outline a quantitative approach to test the agent behavior model within the virtual environment. Results show...x Game View of Hot Environment Condition Displaying Total “f” Cost for Each Searched Waypoint Node
Cognitive/emotional models for human behavior representation in 3D avatar simulations
NASA Astrophysics Data System (ADS)
Peterson, James K.
2004-08-01
Simplified models of human cognition and emotional response are presented which are based on models of auditory/ visual polymodal fusion. At the core of these models is a computational model of Area 37 of the temporal cortex which is based on new isocortex models presented recently by Grossberg. These models are trained using carefully chosen auditory (musical sequences), visual (paintings) and higher level abstract (meta level) data obtained from studies of how optimization strategies are chosen in response to outside managerial inputs. The software modules developed are then used as inputs to character generation codes in standard 3D virtual world simulations. The auditory and visual training data also enable the development of simple music and painting composition generators which significantly enhance one's ability to validate the cognitive model. The cognitive models are handled as interacting software agents implemented as CORBA objects to allow the use of multiple language coding choices (C++, Java, Python etc) and efficient use of legacy code.
NASA Astrophysics Data System (ADS)
Kock, B. E.
2008-12-01
The increased availability and understanding of agent-based modeling technology and techniques provides a unique opportunity for water resources modelers, allowing them to go beyond traditional behavioral approaches from neoclassical economics, and add rich cognition to social-hydrological models. Agent-based models provide for an individual focus, and the easier and more realistic incorporation of learning, memory and other mechanisms for increased cognitive sophistication. We are in an age of global change impacting complex water resources systems, and social responses are increasingly recognized as fundamentally adaptive and emergent. In consideration of this, water resources models and modelers need to better address social dynamics in a manner beyond the capabilities of neoclassical economics theory and practice. However, going beyond the unitary curve requires unique levels of engagement with stakeholders, both to elicit the richer knowledge necessary for structuring and parameterizing agent-based models, but also to make sure such models are appropriately used. With the aim of encouraging epistemological and methodological convergence in the agent-based modeling of water resources, we have developed a water resources-specific cognitive model and an associated collaborative modeling process. Our cognitive model emphasizes efficiency in architecture and operation, and capacity to adapt to different application contexts. We describe a current application of this cognitive model and modeling process in the Arkansas Basin of Colorado. In particular, we highlight the potential benefits of, and challenges to, using more sophisticated cognitive models in agent-based water resources models.
A Review of Computer-Based Human Behavior Representations and Their Relation to Military Simulations
2003-08-01
described by Emery and Trist (1960), activity theory introduced by Vygotsky in the 1930s and formalized by Leont’ev (1979) and situated cognition theory by...II-6 B. Adaptive Resonance Theory (ART) .......................................................... II-6 1. Model...II-31 G. Cognitive Complexity Theory (CCT
Metacognition as a Moderator of Creative Ideation and Creative Production
ERIC Educational Resources Information Center
Puryear, Jeb S.
2015-01-01
Recent theoretical work has called for exploration of the moderating effects of cognitive factors on the relationship between creative ideation and creative production. The Cognitive-Creative Sifting model suggests skills in processing and transforming information influence the association. This study used the Runco Ideational Behavior Scale,…
Testing Adaptive Toolbox Models: A Bayesian Hierarchical Approach
ERIC Educational Resources Information Center
Scheibehenne, Benjamin; Rieskamp, Jorg; Wagenmakers, Eric-Jan
2013-01-01
Many theories of human cognition postulate that people are equipped with a repertoire of strategies to solve the tasks they face. This theoretical framework of a cognitive toolbox provides a plausible account of intra- and interindividual differences in human behavior. Unfortunately, it is often unclear how to rigorously test the toolbox…
Spahn, Joanne M; Reeves, Rebecca S; Keim, Kathryn S; Laquatra, Ida; Kellogg, Molly; Jortberg, Bonnie; Clark, Nicole A
2010-06-01
Behavior change theories and models, validated within the field of dietetics, offer systematic explanations for nutrition-related behavior change. They are integral to the nutrition care process, guiding nutrition assessment, intervention, and outcome evaluation. The American Dietetic Association Evidence Analysis Library Nutrition Counseling Workgroup conducted a systematic review of peer-reviewed literature related to behavior change theories and strategies used in nutrition counseling. Two hundred fourteen articles were reviewed between July 2007 and March 2008, and 87 studies met the inclusion criteria. The workgroup systematically evaluated these articles and formulated conclusion statements and grades based upon the available evidence. Strong evidence exists to support the use of a combination of behavioral theory and cognitive behavioral theory, the foundation for cognitive behavioral therapy (CBT), in facilitating modification of targeted dietary habits, weight, and cardiovascular and diabetes risk factors. Evidence is particularly strong in patients with type 2 diabetes receiving intensive, intermediate-duration (6 to 12 months) CBT, and long-term (>12 months duration) CBT targeting prevention or delay in onset of type 2 diabetes and hypertension. Few studies have assessed the application of the transtheoretical model on nutrition-related behavior change. Little research was available documenting the effectiveness of nutrition counseling utilizing social cognitive theory. Motivational interviewing was shown to be a highly effective counseling strategy, particularly when combined with CBT. Strong evidence substantiates the effectiveness of self-monitoring and meal replacements and/or structured meal plans. Compelling evidence exists to demonstrate that financial reward strategies are not effective. Goal setting, problem solving, and social support are effective strategies, but additional research is needed in more diverse populations. Routine documentation and evaluation of the effectiveness of behavior change theories and models applied to nutrition care interventions are recommended. 2010 American Dietetic Association. Published by Elsevier Inc. All rights reserved.
Multiple Cognitive Control Effects of Error Likelihood and Conflict
Brown, Joshua W.
2010-01-01
Recent work on cognitive control has suggested a variety of performance monitoring functions of the anterior cingulate cortex, such as errors, conflict, error likelihood, and others. Given the variety of monitoring effects, a corresponding variety of control effects on behavior might be expected. This paper explores whether conflict and error likelihood produce distinct cognitive control effects on behavior, as measured by response time. A change signal task (Brown & Braver, 2005) was modified to include conditions of likely errors due to tardy as well as premature responses, in conditions with and without conflict. The results discriminate between competing hypotheses of independent vs. interacting conflict and error likelihood control effects. Specifically, the results suggest that the likelihood of premature vs. tardy response errors can lead to multiple distinct control effects, which are independent of cognitive control effects driven by response conflict. As a whole, the results point to the existence of multiple distinct cognitive control mechanisms and challenge existing models of cognitive control that incorporate only a single control signal. PMID:19030873
ERIC Educational Resources Information Center
Ozakinci, Gozde; Weinman, John A.
2006-01-01
The assumptions of two social cognition models, the Theory of Planned Behavior (Ajzen, 1991) and the Health Belief Model (Rosenstock, 1974) are examined in 2 samples of Turkish university students: sexually active and sexually inactive. For sexually inactive participants, perceived benefits of condom use and self-efficacy beliefs regarding condom…
Aggressive Adolescents in Residential Care: A Selective Review of Treatment Requirements and Models
ERIC Educational Resources Information Center
Knorth, Erik J.; Klomp, Martin; Van den Bergh, Peter M.; Noom, Marc J.
2007-01-01
This article presents a selective inventory of treatment methods of aggressive behavior. Special attention is paid to types of intervention that, according to research, are frequently used in Dutch residential youth care. These methods are based on (1) principles of (cognitive) behavior management and control, (2) the social competence model, and…
NASA Technical Reports Server (NTRS)
John, Bonnie; Vera, Alonso; Matessa, Michael; Freed, Michael; Remington, Roger
2002-01-01
CPM-GOMS is a modeling method that combines the task decomposition of a GOMS analysis with a model of human resource usage at the level of cognitive, perceptual, and motor operations. CPM-GOMS models have made accurate predictions about skilled user behavior in routine tasks, but developing such models is tedious and error-prone. We describe a process for automatically generating CPM-GOMS models from a hierarchical task decomposition expressed in a cognitive modeling tool called Apex. Resource scheduling in Apex automates the difficult task of interleaving the cognitive, perceptual, and motor resources underlying common task operators (e.g. mouse move-and-click). Apex's UI automatically generates PERT charts, which allow modelers to visualize a model's complex parallel behavior. Because interleaving and visualization is now automated, it is feasible to construct arbitrarily long sequences of behavior. To demonstrate the process, we present a model of automated teller interactions in Apex and discuss implications for user modeling. available to model human users, the Goals, Operators, Methods, and Selection (GOMS) method [6, 21] has been the most widely used, providing accurate, often zero-parameter, predictions of the routine performance of skilled users in a wide range of procedural tasks [6, 13, 15, 27, 28]. GOMS is meant to model routine behavior. The user is assumed to have methods that apply sequences of operators and to achieve a goal. Selection rules are applied when there is more than one method to achieve a goal. Many routine tasks lend themselves well to such decomposition. Decomposition produces a representation of the task as a set of nested goal states that include an initial state and a final state. The iterative decomposition into goals and nested subgoals can terminate in primitives of any desired granularity, the choice of level of detail dependent on the predictions required. Although GOMS has proven useful in HCI, tools to support the construction of GOMS models have not yet come into general use.
Adaptive effort investment in cognitive and physical tasks: a neurocomputational model
Verguts, Tom; Vassena, Eliana; Silvetti, Massimo
2015-01-01
Despite its importance in everyday life, the computational nature of effort investment remains poorly understood. We propose an effort model obtained from optimality considerations, and a neurocomputational approximation to the optimal model. Both are couched in the framework of reinforcement learning. It is shown that choosing when or when not to exert effort can be adaptively learned, depending on rewards, costs, and task difficulty. In the neurocomputational model, the limbic loop comprising anterior cingulate cortex (ACC) and ventral striatum in the basal ganglia allocates effort to cortical stimulus-action pathways whenever this is valuable. We demonstrate that the model approximates optimality. Next, we consider two hallmark effects from the cognitive control literature, namely proportion congruency and sequential congruency effects. It is shown that the model exerts both proactive and reactive cognitive control. Then, we simulate two physical effort tasks. In line with empirical work, impairing the model's dopaminergic pathway leads to apathetic behavior. Thus, we conceptually unify the exertion of cognitive and physical effort, studied across a variety of literatures (e.g., motivation and cognitive control) and animal species. PMID:25805978
Daitch, Carolyn
2018-07-01
Individuals suffering from generalized anxiety disorder (GAD) experience a broad range of physical, emotional, and cognitive distress. A hallmark of GAD is anxiety around making decisions. Many clinicians notice improvements in patients through specific modalities, such as mindfulness, hypnosis, and cognitive behavioral therapy (CBT); however, these individual methods sometimes fall short. Clinicians and researchers alike note that it can be more effective to combine these three methods into an integrative treatment protocol. This article demonstrates the efficacy of an integrative model through the case study of a client who suffers from GAD and acute fear of decision making. Competent use of mindfulness, hypnosis, and CBT helps the client build the skills necessary to self-soothe, diminish worry, access resources, and enhance hope for the future. Through the article, clinicians interested in integrated treatment models will gain insight into how to apply these methods.