Automated segmentation of multifocal basal ganglia T2*-weighted MRI hypointensities

PubMed Central

Glatz, Andreas; Bastin, Mark E.; Kiker, Alexander J.; Deary, Ian J.; Wardlaw, Joanna M.; Valdés Hernández, Maria C.

2015-01-01

Multifocal basal ganglia T2*-weighted (T2*w) hypointensities, which are believed to arise mainly from vascular mineralization, were recently proposed as a novel MRI biomarker for small vessel disease and ageing. These T2*w hypointensities are typically segmented semi-automatically, which is time consuming, associated with a high intra-rater variability and low inter-rater agreement. To address these limitations, we developed a fully automated, unsupervised segmentation method for basal ganglia T2*w hypointensities. This method requires conventional, co-registered T2*w and T1-weighted (T1w) volumes, as well as region-of-interest (ROI) masks for the basal ganglia and adjacent internal capsule generated automatically from T1w MRI. The basal ganglia T2*w hypointensities were then segmented with thresholds derived with an adaptive outlier detection method from respective bivariate T2*w/T1w intensity distributions in each ROI. Artefacts were reduced by filtering connected components in the initial masks based on their standardised T2*w intensity variance. The segmentation method was validated using a custom-built phantom containing mineral deposit models, i.e. gel beads doped with 3 different contrast agents in 7 different concentrations, as well as with MRI data from 98 community-dwelling older subjects in their seventies with a wide range of basal ganglia T2*w hypointensities. The method produced basal ganglia T2*w hypointensity masks that were in substantial volumetric and spatial agreement with those generated by an experienced rater (Jaccard index = 0.62 ± 0.40). These promising results suggest that this method may have use in automatic segmentation of basal ganglia T2*w hypointensities in studies of small vessel disease and ageing. PMID:25451469

Prostate segmentation in MRI using fused T2-weighted and elastography images

NASA Astrophysics Data System (ADS)

Nir, Guy; Sahebjavaher, Ramin S.; Baghani, Ali; Sinkus, Ralph; Salcudean, Septimiu E.

2014-03-01

Segmentation of the prostate in medical imaging is a challenging and important task for surgical planning and delivery of prostate cancer treatment. Automatic prostate segmentation can improve speed, reproducibility and consistency of the process. In this work, we propose a method for automatic segmentation of the prostate in magnetic resonance elastography (MRE) images. The method utilizes the complementary property of the elastogram and the corresponding T2-weighted image, which are obtained from the phase and magnitude components of the imaging signal, respectively. It follows a variational approach to propagate an active contour model based on the combination of region statistics in the elastogram and the edge map of the T2-weighted image. The method is fast and does not require prior shape information. The proposed algorithm is tested on 35 clinical image pairs from five MRE data sets, and is evaluated in comparison with manual contouring. The mean absolute distance between the automatic and manual contours is 1.8mm, with a maximum distance of 5.6mm. The relative area error is 7.6%, and the duration of the segmentation process is 2s per slice.

Influence of presenting electrocardiographic findings on the treatment and outcomes of patients with non-ST-segment elevation myocardial infarction.

PubMed

Patel, Jigar H; Gupta, Raghav; Roe, Matthew T; Peng, S Andrew; Wiviott, Stephen D; Saucedo, Jorge F

2014-01-15

The influence of the presenting electrocardiographic (ECG) findings on the treatment and outcomes of patients with non-ST-segment elevation myocardial infarction (NSTEMI) has not been studied in contemporary practice. We analyzed the clinical characteristics, in-hospital management, and in-hospital outcomes of patients with NSTEMI in the Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines (ACTION Registry-GWTG) according to the presenting ECG findings. A total of 175,556 patients from 485 sites from January 2007 to September 2011 were stratified by the ECG findings on presentation: ST depression (n = 40,146, 22.9%), T-wave inversions (n = 24,627, 14%), transient ST-segment elevation (n = 5,050, 2.9%), and no ischemic changes (n = 105,733, 60.2%). Patients presenting with ST-segment depression were the oldest and had the greatest prevalence of major cardiac risk factors. Coronary angiography was performed most frequently in the transient ST-segment elevation group, followed by the T-wave inversion, ST-segment depression, and no ischemic changes groups. The angiogram revealed that patients with ST-segment depression had more left main, proximal left anterior descending, and 3-vessel coronary artery disease and underwent coronary artery bypass grafting most often. In contrast, patients with transient ST-segment elevation had 1-vessel CAD and underwent percutaneous coronary intervention the most. The unadjusted mortality was highest in the ST-segment depression group, followed by the no ischemic changes, transient ST-segment elevation, and T-wave inversion group. Adjusted mortality using the ACTION Registry-GWTG in-hospital mortality model with the no ischemic changes group as the reference showed that in-hospital mortality was similar in the transient ST-segment elevation (odds ratio 1.15, 95% confidence interval 0.97 to 1.37; p = 0.10), higher in the ST-segment depression group (odds ratio 1.46, 95% confidence interval 1

Contribution of S4 segments and S4-S5 linkers to the low-voltage activation properties of T-type CaV3.3 channels.

PubMed

Sanchez-Sandoval, Ana Laura; Herrera Carrillo, Zazil; Díaz Velásquez, Clara Estela; Delgadillo, Dulce María; Rivera, Heriberto Manuel; Gomora, Juan Carlos

2018-01-01

Voltage-gated calcium channels contain four highly conserved transmembrane helices known as S4 segments that exhibit a positively charged residue every third position, and play the role of voltage sensing. Nonetheless, the activation range between high-voltage (HVA) and low-voltage (LVA) activated calcium channels is around 30-40 mV apart, despite the high level of amino acid similarity within their S4 segments. To investigate the contribution of S4 voltage sensors for the low-voltage activation characteristics of CaV3.3 channels we constructed chimeras by swapping S4 segments between this LVA channel and the HVA CaV1.2 channel. The substitution of S4 segment of Domain II in CaV3.3 by that of CaV1.2 (chimera IIS4C) induced a ~35 mV shift in the voltage-dependence of activation towards positive potentials, showing an I-V curve that almost overlaps with that of CaV1.2 channel. This HVA behavior induced by IIS4C chimera was accompanied by a 2-fold decrease in the voltage-dependence of channel gating. The IVS4 segment had also a strong effect in the voltage sensing of activation, while substitution of segments IS4 and IIIS4 moved the activation curve of CaV3.3 to more negative potentials. Swapping of IIS4 voltage sensor influenced additional properties of this channel such as steady-state inactivation, current decay, and deactivation. Notably, Domain I voltage sensor played a major role in preventing CaV3.3 channels to inactivate from closed states at extreme hyperpolarized potentials. Finally, site-directed mutagenesis in the CaV3.3 channel revealed a partial contribution of the S4-S5 linker of Domain II to LVA behavior, with synergic effects observed in double and triple mutations. These findings indicate that IIS4 and, to a lesser degree IVS4, voltage sensors are crucial in determining the LVA properties of CaV3.3 channels, although the accomplishment of this function involves the participation of other structural elements like S4-S5 linkers.

Contribution of S4 segments and S4-S5 linkers to the low-voltage activation properties of T-type CaV3.3 channels

PubMed Central

Sanchez-Sandoval, Ana Laura; Herrera Carrillo, Zazil; Díaz Velásquez, Clara Estela; Delgadillo, Dulce María; Rivera, Heriberto Manuel

2018-01-01

Voltage-gated calcium channels contain four highly conserved transmembrane helices known as S4 segments that exhibit a positively charged residue every third position, and play the role of voltage sensing. Nonetheless, the activation range between high-voltage (HVA) and low-voltage (LVA) activated calcium channels is around 30–40 mV apart, despite the high level of amino acid similarity within their S4 segments. To investigate the contribution of S4 voltage sensors for the low-voltage activation characteristics of CaV3.3 channels we constructed chimeras by swapping S4 segments between this LVA channel and the HVA CaV1.2 channel. The substitution of S4 segment of Domain II in CaV3.3 by that of CaV1.2 (chimera IIS4C) induced a ~35 mV shift in the voltage-dependence of activation towards positive potentials, showing an I-V curve that almost overlaps with that of CaV1.2 channel. This HVA behavior induced by IIS4C chimera was accompanied by a 2-fold decrease in the voltage-dependence of channel gating. The IVS4 segment had also a strong effect in the voltage sensing of activation, while substitution of segments IS4 and IIIS4 moved the activation curve of CaV3.3 to more negative potentials. Swapping of IIS4 voltage sensor influenced additional properties of this channel such as steady-state inactivation, current decay, and deactivation. Notably, Domain I voltage sensor played a major role in preventing CaV3.3 channels to inactivate from closed states at extreme hyperpolarized potentials. Finally, site-directed mutagenesis in the CaV3.3 channel revealed a partial contribution of the S4-S5 linker of Domain II to LVA behavior, with synergic effects observed in double and triple mutations. These findings indicate that IIS4 and, to a lesser degree IVS4, voltage sensors are crucial in determining the LVA properties of CaV3.3 channels, although the accomplishment of this function involves the participation of other structural elements like S4-S5 linkers. PMID:29474447

Asymptomatic ST-segment depression during exercise testing and the risk of sudden cardiac death in middle-aged men: a population-based follow-up study

PubMed Central

Laukkanen, Jari A.; Mäkikallio, Timo H.; Rauramaa, Rainer; Kurl, Sudhir

2009-01-01

Aims Silent electrocardiographic ST change predicts future coronary events in patients with coronary heart disease (CHD), but the prognostic significance of asymptomatic ST-segment depression with respect to sudden cardiac death in subjects without apparent CHD is not well known. Methods and results We investigated the association between silent ST-segment depression during and after maximal symptom-limited exercise test and the risk of sudden cardiac death in a population-based sample of 1769 men without evident CHD. A total of 72 sudden cardiac death occurred during the median follow-up of 18 years. The risk of sudden cardiac death was increased among men with asymptomatic ST-segment depression during exercise [hazard ratio (HR) 2.1, 95% confidence interval (CI) 1.2–3.9] as well as among those with asymptomatic ST-segment depression during recovery period (HR 3.2, 95% CI 1.7–6.0). Asymptomatic ST-depression during exercise testing was a stronger predictor for the risk of sudden cardiac death especially among smokers as well as in hypercholesterolaemic and hypertensive men than in men without these risk factors. Conclusion Asymptomatic ST-segment depression was a very strong predictor of sudden cardiac death in men with any conventional risk factor but no previously diagnosed CHD, emphasizing the value of exercise testing to identify asymptomatic high-risk men who could benefit from preventive measures. PMID:19168533

Fast CSF MRI for brain segmentation; Cross-validation by comparison with 3D T1-based brain segmentation methods.

PubMed

van der Kleij, Lisa A; de Bresser, Jeroen; Hendrikse, Jeroen; Siero, Jeroen C W; Petersen, Esben T; De Vis, Jill B

2018-01-01

In previous work we have developed a fast sequence that focusses on cerebrospinal fluid (CSF) based on the long T2 of CSF. By processing the data obtained with this CSF MRI sequence, brain parenchymal volume (BPV) and intracranial volume (ICV) can be automatically obtained. The aim of this study was to assess the precision of the BPV and ICV measurements of the CSF MRI sequence and to validate the CSF MRI sequence by comparison with 3D T1-based brain segmentation methods. Ten healthy volunteers (2 females; median age 28 years) were scanned (3T MRI) twice with repositioning in between. The scan protocol consisted of a low resolution (LR) CSF sequence (0:57min), a high resolution (HR) CSF sequence (3:21min) and a 3D T1-weighted sequence (6:47min). Data of the HR 3D-T1-weighted images were downsampled to obtain LR T1-weighted images (reconstructed imaging time: 1:59 min). Data of the CSF MRI sequences was automatically segmented using in-house software. The 3D T1-weighted images were segmented using FSL (5.0), SPM12 and FreeSurfer (5.3.0). The mean absolute differences for BPV and ICV between the first and second scan for CSF LR (BPV/ICV: 12±9/7±4cc) and CSF HR (5±5/4±2cc) were comparable to FSL HR (9±11/19±23cc), FSL LR (7±4, 6±5cc), FreeSurfer HR (5±3/14±8cc), FreeSurfer LR (9±8, 12±10cc), and SPM HR (5±3/4±7cc), and SPM LR (5±4, 5±3cc). The correlation between the measured volumes of the CSF sequences and that measured by FSL, FreeSurfer and SPM HR and LR was very good (all Pearson's correlation coefficients >0.83, R2 .67-.97). The results from the downsampled data and the high-resolution data were similar. Both CSF MRI sequences have a precision comparable to, and a very good correlation with established 3D T1-based automated segmentations methods for the segmentation of BPV and ICV. However, the short imaging time of the fast CSF MRI sequence is superior to the 3D T1 sequence on which segmentation with established methods is performed.

Prognostic value of myocardial perfusion SPECT versus exercise electrocardiography in patients with ST-segment depression on resting electrocardiography.

PubMed

De Lorenzo, Andrea; Hachamovitch, Rory; Kang, Xingping; Gransar, Heidi; Sciammarella, Maria G; Hayes, Sean W; Friedman, John D; Cohen, Ishac; Germano, Guido; Berman, Daniel S

2005-01-01

The value of exercise-induced ST-segment depression for the prognostic evaluation of patients with 1 mm of ST depression or greater on the resting electrocardiogram is controversial. Patients who underwent exercise myocardial perfusion single photon emission computed tomography (MPS) and had resting ST depression of 1 mm or greater with a nondiagnostic exercise electrocardiographic response (n = 1122) were followed up for 3.4 +/- 2.3 years. Those with paced rhythm, pre-excitation, left bundle branch block, or myocardial revascularization within the first 60 days after MPS were excluded. Additional exercise-induced ST-segment depression was considered significant if > or = 2 mm MPS was scored semiquantitatively by use of a 20-segment model of the left ventricle; the percentage of myocardium involved with stress defects (% myo) was derived by normalizing to the maximal possible score of 80. Hard events were defined as nonfatal myocardial infarction or cardiac death. A Cox analysis was used to determine independent predictors of hard events among clinical, exercise, and nuclear variables. Hard event rates increased as a function of % myo for either patients with exercise-induced ST depression (1.4%/y for normal MPS vs 4.1%/y for % myo >10%, P < .03) or those without it (0.7%/y for normal MPS vs 3.0%/y for % myo >10%, P = .0001). Age, diabetes mellitus, shortness of breath as the presenting symptom, and % myo were independent predictors of hard events. Exercise-induced ST depression was predictive of hard events only when it was 3 mm or greater. The presence and extent of perfusion defects, reflected in the % myo, had incremental prognostic value over clinical variables and also over all degrees of exercise-induced ST depression. Although MPS effectively risk-stratifies patients with resting ST depression of 1 mm or greater, the prognostic value of exercise-induced ST depression is limited in these patients, with a small added risk when severe (> or = 3 mm).

Heritability and reliability of automatically segmented human hippocampal formation subregions

PubMed Central

Whelan, Christopher D.; Hibar, Derrek P.; van Velzen, Laura S.; Zannas, Anthony S.; Carrillo-Roa, Tania; McMahon, Katie; Prasad, Gautam; Kelly, Sinéad; Faskowitz, Joshua; deZubiracay, Greig; Iglesias, Juan E.; van Erp, Theo G.M.; Frodl, Thomas; Martin, Nicholas G.; Wright, Margaret J.; Jahanshad, Neda; Schmaal, Lianne; Sämann, Philipp G.; Thompson, Paul M.

2016-01-01

The human hippocampal formation can be divided into a set of cytoarchitecturally and functionally distinct subregions, involved in different aspects of memory formation. Neuroanatomical disruptions within these subregions are associated with several debilitating brain disorders including Alzheimer’s disease, major depression, schizophrenia, and bipolar disorder. Multi-center brain imaging consortia, such as the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) consortium, are interested in studying disease effects on these subregions, and in the genetic factors that affect them. For large-scale studies, automated extraction and subsequent genomic association studies of these hippocampal subregion measures may provide additional insight. Here, we evaluated the test–retest reliability and transplatform reliability (1.5 T versus 3 T) of the subregion segmentation module in the FreeSurfer software package using three independent cohorts of healthy adults, one young (Queensland Twins Imaging Study, N = 39), another elderly (Alzheimer’s Disease Neuroimaging Initiative, ADNI-2, N = 163) and another mixed cohort of healthy and depressed participants (Max Planck Institute, MPIP, N = 598). We also investigated agreement between the most recent version of this algorithm (v6.0) and an older version (v5.3), again using the ADNI-2 and MPIP cohorts in addition to a sample from the Netherlands Study for Depression and Anxiety (NESDA) (N = 221). Finally, we estimated the heritability (h2) of the segmented subregion volumes using the full sample of young, healthy QTIM twins (N = 728). Test–retest reliability was high for all twelve subregions in the 3 T ADNI-2 sample (intraclass correlation coefficient (ICC) = 0.70–0.97) and moderate-to-high in the 4 T QTIM sample (ICC = 0.5–0.89). Transplatform reliability was strong for eleven of the twelve subregions (ICC = 0.66–0.96); however, the hippocampal fissure was not consistently reconstructed across 1.5 T and

Segmented strings in AdS 3

DOE Office of Scientific and Technical Information (OSTI.GOV)

Callebaut, Nele; Gubser, Steven S.; Samberg, Andreas

We study segmented strings in flat space and in AdS 3. In flat space, these well known classical motions describe strings which at any instant of time are piecewise linear. In AdS 3, the worldsheet is composed of faces each of which is a region bounded by null geodesics in an AdS 2 subspace of AdS 3. The time evolution can be described by specifying the null geodesic motion of kinks in the string at which two segments are joined. The outcome of collisions of kinks on the worldsheet can be worked out essentially using considerations of causality. We studymore » several examples of closed segmented strings in AdS 3 and find an unexpected quasi-periodic behavior. Here, we also work out a WKB analysis of quantum states of yo-yo strings in AdS 5 and find a logarithmic term reminiscent of the logarithmic twist of string states on the leading Regge trajectory.« less

Segmented strings in AdS 3

DOE PAGES

Callebaut, Nele; Gubser, Steven S.; Samberg, Andreas; ...

2015-11-17

We study segmented strings in flat space and in AdS 3. In flat space, these well known classical motions describe strings which at any instant of time are piecewise linear. In AdS 3, the worldsheet is composed of faces each of which is a region bounded by null geodesics in an AdS 2 subspace of AdS 3. The time evolution can be described by specifying the null geodesic motion of kinks in the string at which two segments are joined. The outcome of collisions of kinks on the worldsheet can be worked out essentially using considerations of causality. We studymore » several examples of closed segmented strings in AdS 3 and find an unexpected quasi-periodic behavior. Here, we also work out a WKB analysis of quantum states of yo-yo strings in AdS 5 and find a logarithmic term reminiscent of the logarithmic twist of string states on the leading Regge trajectory.« less

Application of Quantitative MRI for Brain Tissue Segmentation at 1.5 T and 3.0 T Field Strengths

PubMed Central

West, Janne; Blystad, Ida; Engström, Maria; Warntjes, Jan B. M.; Lundberg, Peter

2013-01-01

Background Brain tissue segmentation of white matter (WM), grey matter (GM), and cerebrospinal fluid (CSF) are important in neuroradiological applications. Quantitative Mri (qMRI) allows segmentation based on physical tissue properties, and the dependencies on MR scanner settings are removed. Brain tissue groups into clusters in the three dimensional space formed by the qMRI parameters R1, R2 and PD, and partial volume voxels are intermediate in this space. The qMRI parameters, however, depend on the main magnetic field strength. Therefore, longitudinal studies can be seriously limited by system upgrades. The aim of this work was to apply one recently described brain tissue segmentation method, based on qMRI, at both 1.5 T and 3.0 T field strengths, and to investigate similarities and differences. Methods In vivo qMRI measurements were performed on 10 healthy subjects using both 1.5 T and 3.0 T MR scanners. The brain tissue segmentation method was applied for both 1.5 T and 3.0 T and volumes of WM, GM, CSF and brain parenchymal fraction (BPF) were calculated on both field strengths. Repeatability was calculated for each scanner and a General Linear Model was used to examine the effect of field strength. Voxel-wise t-tests were also performed to evaluate regional differences. Results Statistically significant differences were found between 1.5 T and 3.0 T for WM, GM, CSF and BPF (p<0.001). Analyses of main effects showed that WM was underestimated, while GM and CSF were overestimated on 1.5 T compared to 3.0 T. The mean differences between 1.5 T and 3.0 T were -66 mL WM, 40 mL GM, 29 mL CSF and -1.99% BPF. Voxel-wise t-tests revealed regional differences of WM and GM in deep brain structures, cerebellum and brain stem. Conclusions Most of the brain was identically classified at the two field strengths, although some regional differences were observed. PMID:24066153

Automatic regional analysis of myocardial native T1 values: left ventricle segmentation and AHA parcellations.

PubMed

Huang, Hsiao-Hui; Huang, Chun-Yu; Chen, Chiao-Ning; Wang, Yun-Wen; Huang, Teng-Yi

2018-01-01

Native T1 value is emerging as a reliable indicator of abnormal heart conditions related to myocardial fibrosis. Investigators have extensively used the standardized myocardial segmentation of the American Heart Association (AHA) to measure regional T1 values of the left ventricular (LV) walls. In this paper, we present a fully automatic system to analyze modified Look-Locker inversion recovery images and to report regional T1 values of AHA segments. Ten healthy individuals participated in the T1 mapping study with a 3.0 T scanner after providing informed consent. First, we obtained masks of an LV blood-pool region and LV walls by using an image synthesis method and a layer-growing method. Subsequently, the LV walls were divided into AHA segments by identifying the boundaries of the septal regions and by using a radial projection method. The layer-growing method significantly enhanced the accuracy of the derived myocardium mask. We compared the T1 values that were obtained using manual region of interest selections and those obtained using the automatic system. The average T1 difference of the calculated segments was 4.6 ± 1.5%. This study demonstrated a practical and robust method of obtaining native T1 values of AHA segments in LV walls.

Automated Multi-Atlas Segmentation of Hippocampal and Extrahippocampal Subregions in Alzheimer's Disease at 3T and 7T: What Atlas Composition Works Best?

PubMed

Xie, Long; Shinohara, Russell T; Ittyerah, Ranjit; Kuijf, Hugo J; Pluta, John B; Blom, Kim; Kooistra, Minke; Reijmer, Yael D; Koek, Huiberdina L; Zwanenburg, Jaco J M; Wang, Hongzhi; Luijten, Peter R; Geerlings, Mirjam I; Das, Sandhitsu R; Biessels, Geert Jan; Wolk, David A; Yushkevich, Paul A; Wisse, Laura E M

2018-01-01

Multi-atlas segmentation, a popular technique implemented in the Automated Segmentation of Hippocampal Subfields (ASHS) software, utilizes multiple expert-labelled images ("atlases") to delineate medial temporal lobe substructures. This multi-atlas method is increasingly being employed in early Alzheimer's disease (AD) research, it is therefore becoming important to know how the construction of the atlas set in terms of proportions of controls and patients with mild cognitive impairment (MCI) and/or AD affects segmentation accuracy. To evaluate whether the proportion of controls in the training sets affects the segmentation accuracy of both controls and patients with MCI and/or early AD at 3T and 7T. We performed cross-validation experiments varying the proportion of control subjects in the training set, ranging from a patient-only to a control-only set. Segmentation accuracy of the test set was evaluated by the Dice similarity coeffiecient (DSC). A two-stage statistical analysis was applied to determine whether atlas composition is linked to segmentation accuracy in control subjects and patients, for 3T and 7T. The different atlas compositions did not significantly affect segmentation accuracy at 3T and for patients at 7T. For controls at 7T, including more control subjects in the training set significantly improves the segmentation accuracy, but only marginally, with the maximum of 0.0003 DSC improvement per percent increment of control subject in the training set. ASHS is robust in this study, and the results indicate that future studies investigating hippocampal subfields in early AD populations can be flexible in the selection of their atlas compositions.

Brain extraction in partial volumes T2*@7T by using a quasi-anatomic segmentation with bias field correction.

PubMed

Valente, João; Vieira, Pedro M; Couto, Carlos; Lima, Carlos S

2018-02-01

Poor brain extraction in Magnetic Resonance Imaging (MRI) has negative consequences in several types of brain post-extraction such as tissue segmentation and related statistical measures or pattern recognition algorithms. Current state of the art algorithms for brain extraction work on weighted T1 and T2, being not adequate for non-whole brain images such as the case of T2*FLASH@7T partial volumes. This paper proposes two new methods that work directly in T2*FLASH@7T partial volumes. The first is an improvement of the semi-automatic threshold-with-morphology approach adapted to incomplete volumes. The second method uses an improved version of a current implementation of the fuzzy c-means algorithm with bias correction for brain segmentation. Under high inhomogeneity conditions the performance of the first method degrades, requiring user intervention which is unacceptable. The second method performed well for all volumes, being entirely automatic. State of the art algorithms for brain extraction are mainly semi-automatic, requiring a correct initialization by the user and knowledge of the software. These methods can't deal with partial volumes and/or need information from atlas which is not available in T2*FLASH@7T. Also, combined volumes suffer from manipulations such as re-sampling which deteriorates significantly voxel intensity structures making segmentation tasks difficult. The proposed method can overcome all these difficulties, reaching good results for brain extraction using only T2*FLASH@7T volumes. The development of this work will lead to an improvement of automatic brain lesions segmentation in T2*FLASH@7T volumes, becoming more important when lesions such as cortical Multiple-Sclerosis need to be detected. Copyright © 2017 Elsevier B.V. All rights reserved.

Inflammatory T helper 17 cells promote depression-like behavior in mice.

PubMed

Beurel, Eléonore; Harrington, Laurie E; Jope, Richard S

2013-04-01

Recognition of substantial immune-neural interactions is revising dogmas about their insular actions and revealing that immune-neural interactions can substantially impact central nervous system functions. The inflammatory cytokine interleukin-6 promotes susceptibility to depression and drives production of inflammatory T helper 17 (Th17) T cells, raising the hypothesis that in mouse models, Th17 cells promote susceptibility to depression-like behaviors. Behavioral characteristics were measured in male mice administered Th17 cells, CD4(+) cells, or vehicle and in retinoid-related orphan receptor-γT (RORγT)(+/GFP) mice or male mice treated with RORγT inhibitor or anti-interleukin-17A antibodies. Mouse brain Th17 cells were elevated by learned helplessness and chronic restraint stress, two common depression-like models. Th17 cell administration promoted learned helplessness in 89% of mice in a paradigm where no vehicle-treated mice developed learned helplessness, and impaired novelty suppressed feeding and social interaction behaviors. Mice deficient in the RORγT transcription factor necessary for Th17 cell production exhibited resistance to learned helplessness, identifying modulation of RORγT as a potential intervention. Treatment with the RORγT inhibitor SR1001, or anti-interleukin-17A antibodies to abrogate Th17 cell function, reduced Th17-dependent learned helplessness. These findings indicate that Th17 cells are increased in the brain during depression-like states, promote depression-like behaviors in mice, and specifically inhibiting the production or function of Th17 cells reduces vulnerability to depression-like behavior, suggesting antidepressant effects may be attained by targeting Th17 cells. Copyright © 2013 Society of Biological Psychiatry. Published by Elsevier Inc. All rights reserved.

IntellEditS: intelligent learning-based editor of segmentations.

PubMed

Harrison, Adam P; Birkbeck, Neil; Sofka, Michal

2013-01-01

Automatic segmentation techniques, despite demonstrating excellent overall accuracy, can often produce inaccuracies in local regions. As a result, correcting segmentations remains an important task that is often laborious, especially when done manually for 3D datasets. This work presents a powerful tool called Intelligent Learning-Based Editor of Segmentations (IntellEditS) that minimizes user effort and further improves segmentation accuracy. The tool partners interactive learning with an energy-minimization approach to editing. Based on interactive user input, a discriminative classifier is trained and applied to the edited 3D region to produce soft voxel labeling. The labels are integrated into a novel energy functional along with the existing segmentation and image data. Unlike the state of the art, IntellEditS is designed to correct segmentation results represented not only as masks but also as meshes. In addition, IntellEditS accepts intuitive boundary-based user interactions. The versatility and performance of IntellEditS are demonstrated on both MRI and CT datasets consisting of varied anatomical structures and resolutions.

The activation of segmental and tonal information in visual word recognition.

PubMed

Li, Chuchu; Lin, Candise Y; Wang, Min; Jiang, Nan

2013-08-01

Mandarin Chinese has a logographic script in which graphemes map onto syllables and morphemes. It is not clear whether Chinese readers activate phonological information during lexical access, although phonological information is not explicitly represented in Chinese orthography. In the present study, we examined the activation of phonological information, including segmental and tonal information in Chinese visual word recognition, using the Stroop paradigm. Native Mandarin speakers named the presentation color of Chinese characters in Mandarin. The visual stimuli were divided into five types: color characters (e.g., , hong2, "red"), homophones of the color characters (S+T+; e.g., , hong2, "flood"), different-tone homophones (S+T-; e.g., , hong1, "boom"), characters that shared the same tone but differed in segments with the color characters (S-T+; e.g., , ping2, "bottle"), and neutral characters (S-T-; e.g., , qian1, "leading through"). Classic Stroop facilitation was shown in all color-congruent trials, and interference was shown in the incongruent trials. Furthermore, the Stroop effect was stronger for S+T- than for S-T+ trials, and was similar between S+T+ and S+T- trials. These findings suggested that both tonal and segmental forms of information play roles in lexical constraints; however, segmental information has more weight than tonal information. We proposed a revised visual word recognition model in which the functions of both segmental and suprasegmental types of information and their relative weights are taken into account.

Clonal expansion of T-cell receptor beta gene segment in the retrocochlear lesions of EAE mice.

PubMed

Cheng, K C; Lee, K M; Yoo, T J

1998-01-01

It has been reported that the T cell receptor V beta 8.2 (TcrbV8.2) gene segment is predominantly expressed in encephalomyelitic T cells responding to myelin basic protein (MBP) in experimental allergic encephalomyelitis (EAE) mice. We have demonstrated retrocochlear hearing loss in EAE mice in previous studies. Administration of a monoclonal antibody specific to the T cell receptor V beta 8 (TcrbV8) subfamily prevented both this type of hearing loss and the central nerve disease. In this study, we examined the role of the TcrbV8.2 gene segment in the retrocochlear lesions of EAE mice. A clonal expression of T cell receptor beta chain gene segment (TcrbV8.2-TcrbD2-TcrbJ2.7) was identified in the retrocochlear lesions. The TcrbV8.2 gene segment appears to recombine only with TcrbJ2.1 (32.1%) and TcrbJ2.7 (67.9%) gene segments. The TcrbJ2.7 gene segment has also been previously identified as the dominant TcrbJ gene in the lymph nodes of EAE mice. Only TcrbD2, with a length of 4 amino acids, was observed recombining with these TcrbV8.2 sequences. G and C nucleotides are predominantly expressed at the N regions between the V-D and D-J junctions. This dominant TcrbV gene segment (TcrbV8.2-TcrbD2-TcrbJ2.7) observed in the retrocochlear lesions has been identified in the MBP-specific T cells from the lymph nodes of EAE mice. These results suggest that a small subset of antigen-specific T cells migrate to, and expand at, the retrocochlear lesions, which leads to hearing loss.

Subcortical brain segmentation of two dimensional T1-weighted data sets with FMRIB's Integrated Registration and Segmentation Tool (FIRST).

PubMed

Amann, Michael; Andělová, Michaela; Pfister, Armanda; Mueller-Lenke, Nicole; Traud, Stefan; Reinhardt, Julia; Magon, Stefano; Bendfeldt, Kerstin; Kappos, Ludwig; Radue, Ernst-Wilhelm; Stippich, Christoph; Sprenger, Till

2015-01-01

Brain atrophy has been identified as an important contributing factor to the development of disability in multiple sclerosis (MS). In this respect, more and more interest is focussing on the role of deep grey matter (DGM) areas. Novel data analysis pipelines are available for the automatic segmentation of DGM using three-dimensional (3D) MRI data. However, in clinical trials, often no such high-resolution data are acquired and hence no conclusions regarding the impact of new treatments on DGM atrophy were possible so far. In this work, we used FMRIB's Integrated Registration and Segmentation Tool (FIRST) to evaluate the possibility of segmenting DGM structures using standard two-dimensional (2D) T1-weighted MRI. In a cohort of 70 MS patients, both 2D and 3D T1-weighted data were acquired. The thalamus, putamen, pallidum, nucleus accumbens, and caudate nucleus were bilaterally segmented using FIRST. Volumes were calculated for each structure and for the sum of basal ganglia (BG) as well as for the total DGM. The accuracy and reliability of the 2D data segmentation were compared with the respective results of 3D segmentations using volume difference, volume overlap and intra-class correlation coefficients (ICCs). The mean differences for the individual substructures were between 1.3% (putamen) and -25.2% (nucleus accumbens). The respective values for the BG were -2.7% and for DGM 1.3%. Mean volume overlap was between 89.1% (thalamus) and 61.5% (nucleus accumbens); BG: 84.1%; DGM: 86.3%. Regarding ICC, all structures showed good agreement with the exception of the nucleus accumbens. The results of the segmentation were additionally validated through expert manual delineation of the caudate nucleus and putamen in a subset of the 3D data. In conclusion, we demonstrate that subcortical segmentation of 2D data are feasible using FIRST. The larger subcortical GM structures can be segmented with high consistency. This forms the basis for the application of FIRST in large 2D

Clinical predictors of acute response to transcranial direct current stimulation (tDCS) in major depression.

PubMed

D'Urso, Giordano; Dell'Osso, Bernardo; Rossi, Rodolfo; Brunoni, Andre Russowsky; Bortolomasi, Marco; Ferrucci, Roberta; Priori, Alberto; de Bartolomeis, Andrea; Altamura, Alfredo Carlo

2017-09-01

Transcranial direct current stimulation (tDCS) is a promising neuromodulation intervention for poor-responding or refractory depressed patients. However, little is known about predictors of response to this therapy. The present study aimed to analyze clinical predictors of response to tDCS in depressed patients. Clinical data from 3 independent tDCS trials on 171 depressed patients (including unipolar and bipolar depression), were pooled and analyzed to assess predictors of response. Depression severity and the underlying clinical dimensions were measured using the Hamilton Depression Rating Scale (HDRS) at baseline and after the tDCS treatment. Age, gender and diagnosis (bipolar/unipolar depression) were also investigated as predictors of response. Linear mixed models were fitted in order to ascertain which HDRS factors were associated with response to tDCS. Age, gender and diagnosis did not show any association with response to treatment. The reduction in HDRS scores after tDCS was strongly associated with the baseline values of "Cognitive Disturbances" and "Retardation" factors, whilst the "Anxiety/Somatization" factor showed a mild association with the response. Open-label design, the lack of control group, and minor differences in stimulation protocols. No differences in response to tDCS were found between unipolar and bipolar patients, suggesting that tDCS is effective for both conditions. "Cognitive disturbance", "Retardation", and "Anxiety/Somatization", were identified as potential clinical predictors of response to tDCS. These findings point to the pre-selection of the potential responders to tDCS, therefore optimizing the clinical use of this technique and the overall cost-effectiveness of the psychiatric intervention for depressed patients. Copyright © 2017 Elsevier B.V. All rights reserved.

Association Between Subcortical Volumes and Verbal Memory in Unmedicated Depressed Patients and Healthy Controls

PubMed Central

Turner, Arlener D.; Furey, Maura; Drevets, Wayne C.; Zarate, Carlos; Nugent, Allison

2012-01-01

Research has shown poor performance on verbal memory tasks in patients with major depressive disorder relative to healthy controls, as well as structural abnormalities in the subcortical structures that form the limbic-cortical-striatal-pallidal-thalamic circuitry. Few studies, however, have attempted to link the impairments in learning and memory in depression with these structural abnormalities, and of those which have done so, most have included patients medicated with psychotropic agents likely to influence cognitive performance. This study thus examines the relationship between subcortical structural abnormalities and verbal memory using the California Verbal Learning Test (CVLT) in unmedicated depressed patients. A T1 weighted Magnetic Resonance Imaging scan and the CVLT were obtained on 45 subjects with major depressive disorder and 44 healthy controls. Using the FMRIB’s Integrated Registration and Segmentation Tool (FIRST) volumes of selected subcortical structures were segmented and correlated with CVLT performance. Depressed participants showed significantly smaller right thalamus and right hippocampus volumes than healthy controls. Depressed participants also showed impaired performance on global verbal learning ability, and appeared to depend upon an inferior memory strategy (serial clustering). Measures of serial clustering were correlated significantly with right hippocampal volumes in depressed participants. Our findings indicate that depressed participants and healthy controls differ in the memory strategies they employ, and that while depressed participants had a smaller hippocampal volume, there was a positive correlation between volume and use of an inferior memory strategy. This suggests that larger hippocampal volume is related to better memory recall in depression, but specifically with regard to utilizing an inferior memory strategy. PMID:22714007

T-Wave Abnormality as Electrocardiographic Signature of Myocardial Edema in Non-ST-Elevation Acute Coronary Syndromes.

PubMed

Cardona, Andrea; Zareba, Karolina M; Nagaraja, Haikady N; Schaal, Stephen F; Simonetti, Orlando P; Ambrosio, Giuseppe; Raman, Subha V

2018-01-26

T-wave abnormalities are common during the acute phase of non-ST-segment elevation acute coronary syndromes, but mechanisms underlying their occurrence are unclear. We hypothesized that T-wave abnormalities in the presentation of non-ST-segment elevation acute coronary syndromes correspond to the presence of myocardial edema. Secondary analysis of a previously enrolled prospective cohort of patients presenting with non-ST-segment elevation acute coronary syndromes was conducted. Twelve-lead electrocardiography (ECG) and cardiac magnetic resonance with T2-weighted imaging were acquired before invasive coronary angiography. ECGs were classified dichotomously (ie, ischemic versus normal/nonischemic) and nominally according to patterns of presentation: no ST- or T-wave abnormalities, isolated T-wave abnormality, isolated ST depression, ST depression+T-wave abnormality. Myocardial edema was determined by expert review of T2-weighted images. Of 86 subjects (65% male, 59.4 years), 36 showed normal/nonischemic ECG, 25 isolated T-wave abnormalities, 11 isolated ST depression, and 14 ST depression+T-wave abnormality. Of 30 edema-negative subjects, 24 (80%) had normal/nonischemic ECGs. Isolated T-wave abnormality was significantly more prevalent in edema-positive versus edema-negative subjects (41.1% versus 6.7%, P =0.001). By multivariate analysis, an ischemic ECG showed a strong association with myocardial edema (odds ratio 12.23, 95% confidence interval 3.65-40.94, P <0.0001). Among individual ECG profiles, isolated T-wave abnormality was the single strongest predictor of myocardial edema (odds ratio 23.84, 95% confidence interval 4.30-132, P <0.0001). Isolated T-wave abnormality was highly specific (93%) but insensitive (43%) for detecting myocardial edema. T-wave abnormalities in the setting of non-ST-segment elevation acute coronary syndromes are related to the presence of myocardial edema. High specificity of this ECG alteration identifies a change in ischemic

Children’s Depressive Symptoms in Relation to EEG Frontal Asymmetry and Maternal Depression

PubMed Central

Feng, Xin; Forbes, Erika E.; Kovacs, Maria; George, Charles J.; Lopez-Duran, Nestor L.; Fox, Nathan A.; Cohn, Jeffrey F.

2011-01-01

This study examined the relations of school-age children’s depressive symptoms, frontal EEG asymmetry, and maternal history of childhood-onset depression (COD). Participants were 73 children, 43 of whom had mothers with COD. Children’s EEG was recorded at baseline and while watching happy and sad film clips. Depressive symptoms were measured using parent-report of Children’s Depression Inventory. The key findings are the interaction effects between baseline and film frontal EEG asymmetry on child depressive symptoms. Specifically, relative right frontal EEG asymmetry while watching happy or sad film clip was associated with elevated depressive symptoms for children who also exhibited right frontal EEG asymmetry at baseline. Results suggest that right frontal EEG asymmetry that is consistent across situations may be an marker of depression-prone children. PMID:21894523

Introduced T cell receptor variable region gene segments recombine in pre-B cells: evidence that B and T cells use a common recombinase.

PubMed

Yancopoulos, G D; Blackwell, T K; Suh, H; Hood, L; Alt, F W

1986-01-31

We have recently proposed that a common recombinase performs all of the many variable region gene assembly events in B and T cells, and that the specificity of these joining events is mediated by regulating the "accessibility" of the involved gene segments. To test this possibility, we have introduced "accessible" T cell receptor (TCR) variable region gene segments into a pre-B cell line capable of recombining endogenous and transfected immunoglobulin (Ig) variable region gene segments. Although the corresponding "inaccessible" endogenous TCR gene segments do not rearrange in this line or in B cells in general, the introduced TCR gene segments join very frequently and, in fact, closely resemble introduced Ig gene segments in their recombination characteristics. These observations suggest a new role for conventional Ig transcriptional enhancers--recombinational enhancement. Our studies provide insight into additional aspects of the joining mechanism such as N region insertion, aberrant joining, and recombination-recognition sequence requirements for joining.

Accounting for the Confound of Meninges in Segmenting Entorhinal and Perirhinal Cortices in T1-Weighted MRI.

PubMed

Xie, Long; Wisse, Laura E M; Das, Sandhitsu R; Wang, Hongzhi; Wolk, David A; Manjón, Jose V; Yushkevich, Paul A

2016-10-01

Quantification of medial temporal lobe (MTL) cortices, including entorhinal cortex (ERC) and perirhinal cortex (PRC), from in vivo MRI is desirable for studying the human memory system as well as in early diagnosis and monitoring of Alzheimer's disease. However, ERC and PRC are commonly over-segmented in T1-weighted (T1w) MRI because of the adjacent meninges that have similar intensity to gray matter in T1 contrast. This introduces errors in the quantification and could potentially confound imaging studies of ERC/PRC. In this paper, we propose to segment MTL cortices along with the adjacent meninges in T1w MRI using an established multi-atlas segmentation framework together with super-resolution technique. Experimental results comparing the proposed pipeline with existing pipelines support the notion that a large portion of meninges is segmented as gray matter by existing algorithms but not by our algorithm. Cross-validation experiments demonstrate promising segmentation accuracy. Further, agreement between the volume and thickness measures from the proposed pipeline and those from the manual segmentations increase dramatically as a result of accounting for the confound of meninges. Evaluated in the context of group discrimination between patients with amnestic mild cognitive impairment and normal controls, the proposed pipeline generates more biologically plausible results and improves the statistical power in discriminating groups in absolute terms comparing to other techniques using T1w MRI. Although the performance of the proposed pipeline is inferior to that using T2-weighted MRI, which is optimized to image MTL sub-structures, the proposed pipeline could still provide important utilities in analyzing many existing large datasets that only have T1w MRI available.

Transcranial direct-current stimulation (tDCS) for bipolar depression: A systematic review and meta-analysis.

PubMed

Dondé, Clément; Amad, Ali; Nieto, Isabel; Brunoni, André Russowsky; Neufeld, Nicholas H; Bellivier, Frank; Poulet, Emmanuel; Geoffroy, Pierre-Alexis

2017-08-01

Bipolar disorder (BD) is a severe and recurrent brain disorder that can manifest in manic or depressive episodes. Transcranial Direct Current Stimulation (tDCS) has been proposed as a novel therapeutic modality for patients experiencing bipolar depression, for which standard treatments are often inefficient. While several studies have been conducted in this patient group, there has been no systematic review or meta-analysis that specifically examines bipolar depression. We aimed to address this gap in the literature and evaluated the efficacy and tolerability of tDCS in patients fulfilling DSM-IV-TR criteria for BD I, II, or BD not otherwise specified (NOS). We systematically searched the literature from April 2002 to November 2016 to identify relevant publications for inclusion in our systematic review and meta-analysis. Effect sizes for depression rating-scale scores were expressed as the standardized mean difference (SMD) before and after tDCS. Thirteen of 382 identified studies met eligibility criteria for our systematic review. The meta-analysis included 46 patients from 7 studies with depression rating-scale scores pre- and post-tDCS. Parameters of tDCS procedures were heterogeneous. Depression scores decreased significantly with a medium effect size after acute-phase of treatment (SMD 0.71 [0.25-1.18], z=3.00, p=0.003) and at the furthest endpoint (SMD 1.27 [0.57-1.97], z=3.57, p=0.0004). Six cases of affective switching under tDCS treatment protocols were observed. Depressive symptoms respond to tDCS in patients with BD. Additional studies, and particularly randomized controlled trials, are needed to clarify the effectiveness of tDCS in bipolar depression, the frequency of tDCS-emergent hypomania/mania, and which tDCS modalities are most efficient. Copyright © 2017 Elsevier Inc. All rights reserved.

Semi-automatic segmentation of myocardium at risk in T2-weighted cardiovascular magnetic resonance.

PubMed

Sjögren, Jane; Ubachs, Joey F A; Engblom, Henrik; Carlsson, Marcus; Arheden, Håkan; Heiberg, Einar

2012-01-31

T2-weighted cardiovascular magnetic resonance (CMR) has been shown to be a promising technique for determination of ischemic myocardium, referred to as myocardium at risk (MaR), after an acute coronary event. Quantification of MaR in T2-weighted CMR has been proposed to be performed by manual delineation or the threshold methods of two standard deviations from remote (2SD), full width half maximum intensity (FWHM) or Otsu. However, manual delineation is subjective and threshold methods have inherent limitations related to threshold definition and lack of a priori information about cardiac anatomy and physiology. Therefore, the aim of this study was to develop an automatic segmentation algorithm for quantification of MaR using anatomical a priori information. Forty-seven patients with first-time acute ST-elevation myocardial infarction underwent T2-weighted CMR within 1 week after admission. Endocardial and epicardial borders of the left ventricle, as well as the hyper enhanced MaR regions were manually delineated by experienced observers and used as reference method. A new automatic segmentation algorithm, called Segment MaR, defines the MaR region as the continuous region most probable of being MaR, by estimating the intensities of normal myocardium and MaR with an expectation maximization algorithm and restricting the MaR region by an a priori model of the maximal extent for the user defined culprit artery. The segmentation by Segment MaR was compared against inter observer variability of manual delineation and the threshold methods of 2SD, FWHM and Otsu. MaR was 32.9 ± 10.9% of left ventricular mass (LVM) when assessed by the reference observer and 31.0 ± 8.8% of LVM assessed by Segment MaR. The bias and correlation was, -1.9 ± 6.4% of LVM, R = 0.81 (p < 0.001) for Segment MaR, -2.3 ± 4.9%, R = 0.91 (p < 0.001) for inter observer variability of manual delineation, -7.7 ± 11.4%, R = 0.38 (p = 0.008) for 2SD, -21.0 ± 9.9%, R = 0.41 (p = 0.004) for FWHM, and

Segmentation and intensity estimation of microarray images using a gamma-t mixture model.

PubMed

Baek, Jangsun; Son, Young Sook; McLachlan, Geoffrey J

2007-02-15

We present a new approach to the analysis of images for complementary DNA microarray experiments. The image segmentation and intensity estimation are performed simultaneously by adopting a two-component mixture model. One component of this mixture corresponds to the distribution of the background intensity, while the other corresponds to the distribution of the foreground intensity. The intensity measurement is a bivariate vector consisting of red and green intensities. The background intensity component is modeled by the bivariate gamma distribution, whose marginal densities for the red and green intensities are independent three-parameter gamma distributions with different parameters. The foreground intensity component is taken to be the bivariate t distribution, with the constraint that the mean of the foreground is greater than that of the background for each of the two colors. The degrees of freedom of this t distribution are inferred from the data but they could be specified in advance to reduce the computation time. Also, the covariance matrix is not restricted to being diagonal and so it allows for nonzero correlation between R and G foreground intensities. This gamma-t mixture model is fitted by maximum likelihood via the EM algorithm. A final step is executed whereby nonparametric (kernel) smoothing is undertaken of the posterior probabilities of component membership. The main advantages of this approach are: (1) it enjoys the well-known strengths of a mixture model, namely flexibility and adaptability to the data; (2) it considers the segmentation and intensity simultaneously and not separately as in commonly used existing software, and it also works with the red and green intensities in a bivariate framework as opposed to their separate estimation via univariate methods; (3) the use of the three-parameter gamma distribution for the background red and green intensities provides a much better fit than the normal (log normal) or t distributions; (4) the

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-05

DOT National Transportation Integrated Search

2012-05-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-06

DOT National Transportation Integrated Search

2012-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-06

DOT National Transportation Integrated Search

2011-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-11

DOT National Transportation Integrated Search

2012-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-09

DOT National Transportation Integrated Search

2011-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-03

DOT National Transportation Integrated Search

2012-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-11

DOT National Transportation Integrated Search

2011-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-02

DOT National Transportation Integrated Search

2012-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-10

DOT National Transportation Integrated Search

2011-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-12

DOT National Transportation Integrated Search

2011-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-08

DOT National Transportation Integrated Search

2011-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-07

DOT National Transportation Integrated Search

2011-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-04

DOT National Transportation Integrated Search

2012-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-04

DOT National Transportation Integrated Search

2008-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-06

DOT National Transportation Integrated Search

2008-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-08

DOT National Transportation Integrated Search

2009-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-01

DOT National Transportation Integrated Search

2009-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-03

DOT National Transportation Integrated Search

2009-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-05

DOT National Transportation Integrated Search

2010-05-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-02

DOT National Transportation Integrated Search

2010-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-01

DOT National Transportation Integrated Search

2010-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-06

DOT National Transportation Integrated Search

2009-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-05

DOT National Transportation Integrated Search

2009-05-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-03

DOT National Transportation Integrated Search

2010-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-08

DOT National Transportation Integrated Search

2008-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-12

DOT National Transportation Integrated Search

2009-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-09

DOT National Transportation Integrated Search

2009-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-09

DOT National Transportation Integrated Search

2008-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-07

DOT National Transportation Integrated Search

2008-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-10

DOT National Transportation Integrated Search

2009-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-11

DOT National Transportation Integrated Search

2009-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-02

DOT National Transportation Integrated Search

2009-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-07

DOT National Transportation Integrated Search

2009-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-04

DOT National Transportation Integrated Search

2010-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-02

DOT National Transportation Integrated Search

2013-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-05

DOT National Transportation Integrated Search

2013-05-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-06

DOT National Transportation Integrated Search

2010-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-01

DOT National Transportation Integrated Search

2013-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-01

DOT National Transportation Integrated Search

2008-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-03

DOT National Transportation Integrated Search

2008-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-02

DOT National Transportation Integrated Search

2008-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2006-12

DOT National Transportation Integrated Search

2006-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2007-12

DOT National Transportation Integrated Search

2007-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2005-12

DOT National Transportation Integrated Search

2005-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-07

DOT National Transportation Integrated Search

2010-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-09

DOT National Transportation Integrated Search

2012-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-04

DOT National Transportation Integrated Search

2013-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-08

DOT National Transportation Integrated Search

2012-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-07

DOT National Transportation Integrated Search

2012-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-06

DOT National Transportation Integrated Search

2013-06-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-10

DOT National Transportation Integrated Search

2012-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2012-12

DOT National Transportation Integrated Search

2012-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-07

DOT National Transportation Integrated Search

2013-07-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2009-04

DOT National Transportation Integrated Search

2009-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-09

DOT National Transportation Integrated Search

2010-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-11

DOT National Transportation Integrated Search

2010-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-10

DOT National Transportation Integrated Search

2010-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-12

DOT National Transportation Integrated Search

2010-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-12

DOT National Transportation Integrated Search

2013-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-04

DOT National Transportation Integrated Search

2011-04-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2014-01

DOT National Transportation Integrated Search

2014-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2014-03

DOT National Transportation Integrated Search

2014-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-09

DOT National Transportation Integrated Search

2013-09-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2014-02

DOT National Transportation Integrated Search

2014-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-02

DOT National Transportation Integrated Search

2011-02-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-03

DOT National Transportation Integrated Search

2011-03-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-11

DOT National Transportation Integrated Search

2013-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-01

DOT National Transportation Integrated Search

2011-01-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2010-08

DOT National Transportation Integrated Search

2010-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2011-05

DOT National Transportation Integrated Search

2011-05-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-10

DOT National Transportation Integrated Search

2013-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2013-08

DOT National Transportation Integrated Search

2013-08-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-11

DOT National Transportation Integrated Search

2008-11-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-10

DOT National Transportation Integrated Search

2008-10-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Data Bank 28IS - T-100 and T-100(f) International Segment Data, US and Foreign Air Carriers Traffic and Capacity Data - 6-Month Restricted (US Point and Foreign Point) : [2008-12

DOT National Transportation Integrated Search

2008-12-01

This CD presents nonstop operations (segments) as reported by U.S. and foreign carriers. For the U.S. carriers, at least one point must be outside the United States or one of its territories. All foreign carrier data must have at least one point in t...

Improving early detection of childhood depression in mental health care: the Children׳s Depression Screener (ChilD-S).

PubMed

Allgaier, Antje-Kathrin; Krick, Kathrin; Opitz, Ansgar; Saravo, Barbara; Romanos, Marcel; Schulte-Körne, Gerd

2014-07-30

Diagnosing childhood depression can pose a challenge, even for mental health specialists. Screening tools can aid clinicians within the initial step of the diagnostic process. For the first time, the Children׳s Depression Screener (ChilD-S) is validated in a mental health setting as a novel field of application beyond the previously examined pediatric setting. Based on a structured interview, DSM-IV-TR diagnoses of depression were made for 79 psychiatric patients aged 9-12, serving as the gold standard for validation. For assessing criterion validity, receiver operating characteristic (ROC) curves were calculated. Point prevalence of major depression and dysthymia was 28%. Diagnostic accuracy in terms of the area under the ROC curve was high (0.97). At the optimal cut-off point ≥12 according to the Youden׳s index, sensitivity was 0.91 and specificity was 0.81. The findings suggest that the ChilD-S is not only a valid screening instrument for childhood depression in pediatric care but also in mental health settings. As a brief tool it can easily be implemented into daily clinical practice of mental health professionals facilitating the diagnostic process, especially in case of comorbid depression. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Physiologic bases for anterior ST segment depression in patients with acute inferior wall myocardial infarction.

PubMed

Mirvis, D M

1988-11-01

Patients with acute inferior myocardial infarction commonly have ST segment depression in the anterior precordial leads. This may reflect either reciprocal changes from the inferior ST elevation or primary ST depression from additional anterior subendocardial ischemia. From a biophysical perspective reciprocal changes should be uniformly anticipated from basic dipole theory. Detection will vary with the size, location, orientation, and electrical intensity of the lesion and with the ECG lead system deployed to register the anterior changes. Alternatively, acute occlusion of the right coronary artery may produce ischemia in the anterior left ventricular wall supplied by a stenotic anterior descending coronary artery. Anterior ischemia may result from the abnormal hemodynamics or the reduced collateral flow produced by acute right coronary artery occlusion. Thus both mechanisms are based on sound physiologic principles. A review of the clinical literature suggests that such patients represent a heterogeneous group. In some instances coexistent anterior ischemia is present, whereas in others the anterior ST depression is the passive reflection of inferior ST elevation augmented in many cases by a large infarct size or more extensive posterobasal or septal involvement.

Prevalence and correlates of depression among new U.S. immigrants.

PubMed

Wong, Eunice C; Miles, Jeremy N V

2014-06-01

Although immigrants comprise one of the fastest growing segments of society, information on their adjustment to life in the US remains limited. The present study examined the prevalence of depression and associated correlates among a national sample of immigrants newly admitted to legal permanent residence to the US. Data were derived from the baseline adult cohort of the New Immigrant Survey, a national representative sample of immigrants who had obtained legal permanent residence between May and November 2003. Approximately 3% of respondents met criteria for probable depression in the past 12 months. Respondents who were female, younger in age, in the US for a longer period of time, and exposed to political violence in their country of origin were more likely to meet criteria for probable depression. Both pre-immigration and resettlement related factors were associated with probable depression. Further research is needed to better understand how processes in the country of origin and in the resettlement country influence the adjustment of immigrants.

Acute working memory improvement after tDCS in antidepressant-free patients with major depressive disorder.

PubMed

Oliveira, Janaina F; Zanão, Tamires A; Valiengo, Leandro; Lotufo, Paulo A; Benseñor, Isabela M; Fregni, Felipe; Brunoni, André R

2013-03-14

Based on previous studies showing that transcranial direct current stimulation (tDCS), a non-invasive brain stimulation technique that employs weak, direct currents to induce cortical-excitability changes, might be useful for working memory (WM) enhancement in healthy subjects and also in treating depressive symptoms, our aim was to evaluate whether tDCS could acutely enhance WM in depressed patients. Twenty-eight age- and gender-matched, antidepressant-free depressed subjects received a single-session of active/sham tDCS in a randomized, double-blind, parallel design. The anode was positioned over the left and the cathode over the right dorsolateral prefrontal cortex. The n-back task was used for assessing WM and it was performed immediately before and 15min after tDCS onset. We found that active vs. sham tDCS led to an increase in the rate of correct responses. We also used signal detection theory analyses to show that active tDCS increased both discriminability, i.e., the ability to discriminate signal (correct responses) from noise (false alarms), and response criterion, indicating a lower threshold to yield responses. All effect sizes were large. In other words, one session of tDCS acutely enhanced WM in depressed subjects, suggesting that tDCS can improve "cold" (non affective-loaded) working memory processes in MDD. Based on these findings, we discuss the effects of tDCS on WM enhancement in depression. We also suggest that the n-back task could be used as a biomarker in future tDCS studies investigating prefrontal activity in healthy and depressed samples. Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Development and Evaluation of a Semi-automated Segmentation Tool and a Modified Ellipsoid Formula for Volumetric Analysis of the Kidney in Non-contrast T2-Weighted MR Images.

PubMed

Seuss, Hannes; Janka, Rolf; Prümmer, Marcus; Cavallaro, Alexander; Hammon, Rebecca; Theis, Ragnar; Sandmair, Martin; Amann, Kerstin; Bäuerle, Tobias; Uder, Michael; Hammon, Matthias

2017-04-01

Volumetric analysis of the kidney parenchyma provides additional information for the detection and monitoring of various renal diseases. Therefore the purposes of the study were to develop and evaluate a semi-automated segmentation tool and a modified ellipsoid formula for volumetric analysis of the kidney in non-contrast T2-weighted magnetic resonance (MR)-images. Three readers performed semi-automated segmentation of the total kidney volume (TKV) in axial, non-contrast-enhanced T2-weighted MR-images of 24 healthy volunteers (48 kidneys) twice. A semi-automated threshold-based segmentation tool was developed to segment the kidney parenchyma. Furthermore, the three readers measured renal dimensions (length, width, depth) and applied different formulas to calculate the TKV. Manual segmentation served as a reference volume. Volumes of the different methods were compared and time required was recorded. There was no significant difference between the semi-automatically and manually segmented TKV (p = 0.31). The difference in mean volumes was 0.3 ml (95% confidence interval (CI), -10.1 to 10.7 ml). Semi-automated segmentation was significantly faster than manual segmentation, with a mean difference = 188 s (220 vs. 408 s); p < 0.05. Volumes did not differ significantly comparing the results of different readers. Calculation of TKV with a modified ellipsoid formula (ellipsoid volume × 0.85) did not differ significantly from the reference volume; however, the mean error was three times higher (difference of mean volumes -0.1 ml; CI -31.1 to 30.9 ml; p = 0.95). Applying the modified ellipsoid formula was the fastest way to get an estimation of the renal volume (41 s). Semi-automated segmentation and volumetric analysis of the kidney in native T2-weighted MR data delivers accurate and reproducible results and was significantly faster than manual segmentation. Applying a modified ellipsoid formula quickly provides an accurate kidney volume.

On the fallacy of quantitative segmentation for T1-weighted MRI

NASA Astrophysics Data System (ADS)

Plassard, Andrew J.; Harrigan, Robert L.; Newton, Allen T.; Rane, Swati; Pallavaram, Srivatsan; D'Haese, Pierre F.; Dawant, Benoit M.; Claassen, Daniel O.; Landman, Bennett A.

2016-03-01

T1-weighted magnetic resonance imaging (MRI) generates contrasts with primary sensitivity to local T1 properties (with lesser T2 and PD contributions). The observed signal intensity is determined by these local properties and the sequence parameters of the acquisition. In common practice, a range of acceptable parameters is used to ensure "similar" contrast across scanners used for any particular study (e.g., the ADNI standard MPRAGE). However, different studies may use different ranges of parameters and report the derived data as simply "T1-weighted". Physics and imaging authors pay strong heed to the specifics of the imaging sequences, but image processing authors have historically been more lax. Herein, we consider three T1-weighted sequences acquired the same underlying protocol (MPRAGE) and vendor (Philips), but "normal study-to-study variation" in parameters. We show that the gray matter/white matter/cerebrospinal fluid contrast is subtly but systemically different between these images and yields systemically different measurements of brain volume. The problem derives from the visually apparent boundary shifts, which would also be seen by a human rater. We present and evaluate two solutions to produce consistent segmentation results across imaging protocols. First, we propose to acquire multiple sequences on a subset of the data and use the multi-modal imaging as atlases to segment target images any of the available sequences. Second (if additional imaging is not available), we propose to synthesize atlases of the target imaging sequence and use the synthesized atlases in place of atlas imaging data. Both approaches significantly improve consistency of target labeling.

Focal liver lesions segmentation and classification in nonenhanced T2-weighted MRI.

PubMed

Gatos, Ilias; Tsantis, Stavros; Karamesini, Maria; Spiliopoulos, Stavros; Karnabatidis, Dimitris; Hazle, John D; Kagadis, George C

2017-07-01

To automatically segment and classify focal liver lesions (FLLs) on nonenhanced T2-weighted magnetic resonance imaging (MRI) scans using a computer-aided diagnosis (CAD) algorithm. 71 FLLs (30 benign lesions, 19 hepatocellular carcinomas, and 22 metastases) on T2-weighted MRI scans were delineated by the proposed CAD scheme. The FLL segmentation procedure involved wavelet multiscale analysis to extract accurate edge information and mean intensity values for consecutive edges computed using horizontal and vertical analysis that were fed into the subsequent fuzzy C-means algorithm for final FLL border extraction. Texture information for each extracted lesion was derived using 42 first- and second-order textural features from grayscale value histogram, co-occurrence, and run-length matrices. Twelve morphological features were also extracted to capture any shape differentiation between classes. Feature selection was performed with stepwise multilinear regression analysis that led to a reduced feature subset. A multiclass Probabilistic Neural Network (PNN) classifier was then designed and used for lesion classification. PNN model evaluation was performed using the leave-one-out (LOO) method and receiver operating characteristic (ROC) curve analysis. The mean overlap between the automatically segmented FLLs and the manual segmentations performed by radiologists was 0.91 ± 0.12. The highest classification accuracies in the PNN model for the benign, hepatocellular carcinoma, and metastatic FLLs were 94.1%, 91.4%, and 94.1%, respectively, with sensitivity/specificity values of 90%/97.3%, 89.5%/92.2%, and 90.9%/95.6% respectively. The overall classification accuracy for the proposed system was 90.1%. Our diagnostic system using sophisticated FLL segmentation and classification algorithms is a powerful tool for routine clinical MRI-based liver evaluation and can be a supplement to contrast-enhanced MRI to prevent unnecessary invasive procedures. © 2017 American

The expression and genetic immunization of chimeric fragment of Hantaan virus M and S segments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Zhang Fanglin; Wu Xingan; Luo Wen

2007-03-23

Hemorrhagic fever with renal syndrome (HFRS), which is characterized by severe symptoms and high mortality, is caused by hantavirus. There are still no effective prophylactic vaccines directed to HFRS until now. In this research, we fused expressed G2 fragment of M segment and 0.7 kb fragment of S segment. We expect it could be a candidate vaccine. Chimeric gene G2S0.7 was first expressed in prokaryotic expression system pGEX-4T. After inducing expressed fusion proteins, GST-G2S0.7 was induced and its molecular weight was about 100 kDa. Meanwhile, the fusion protein kept the activity of its parental proteins. Further, BALB/c mice were vaccinatedmore » by the chimeric gene. ELISA, cell microculture neutralization test in vitro were used to detect the humoral immune response in immunized BALB/c mice. Lymphocyte proliferation assay was used to detect the cellular immune response. The results showed that the chimeric gene could simultaneously evoke specific antibody against nucleocapsid protein (NP) and glycoprotein (GP). And the immunized mice of every group elicited neutralizing antibodies with different titers. But the titers were low. Lymphocyte proliferation assay results showed that the stimulation indexes of splenocytes of chimeric gene to NP and GP were significantly higher than that of control. It suggested that the chimeric gene of Hantaan virus containing G2 fragment of M segment and 0.7 kb fragment of S segment could directly elicit specific anti-Hantaan virus humoral and cellular immune response in BALB/c mice.« less

Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer’s disease: a Mendelian randomization study

PubMed Central

Kwok, Man Ki; Leung, Gabriel M.; Schooling, C. Mary

2016-01-01

Observationally, coffee is inversely associated with type 2 diabetes mellitus (T2DM), depression and Alzheimer’s disease, but not ischemic heart disease (IHD). Coffee features as possibly protective in the 2015 Dietary Guidelines for Americans. Short-term trials suggest coffee has neutral effect on most glycemic traits, but raises lipids and adiponectin. To clarify we compared T2DM, depression, Alzheimer’s disease, and IHD and its risk factors by genetically predicted coffee consumption using two-sample Mendelian randomization applied to large extensively genotyped case-control and cross-sectional studies. Childhood cognition was used as a negative control outcome. Genetically predicted coffee consumption was not associated with T2DM (odds ratio (OR) 1.02, 95% confidence interval (CI) 0.76 to 1.36), depression (0.89, 95% CI 0.66 to 1.21), Alzheimer’s disease (1.17, 95% CI 0.96 to 1.43), IHD (0.96, 95% CI 0.80 to 1.14), lipids, glycemic traits, adiposity or adiponectin. Coffee was unrelated to childhood cognition. Consistent with observational studies, coffee was unrelated to IHD, and, as expected, childhood cognition. However, contrary to observational findings, coffee may not have beneficial effects on T2DM, depression or Alzheimer’s disease. These findings clarify the role of coffee with relevance to dietary guidelines and suggest interventions to prevent these complex chronic diseases should be sought elsewhere. PMID:27845333

T Cell Phenotype and T Cell Receptor Repertoire in Patients with Major Depressive Disorder

PubMed Central

Patas, Kostas; Willing, Anne; Demiralay, Cüneyt; Engler, Jan Broder; Lupu, Andreea; Ramien, Caren; Schäfer, Tobias; Gach, Christian; Stumm, Laura; Chan, Kenneth; Vignali, Marissa; Arck, Petra C.; Friese, Manuel A.; Pless, Ole; Wiedemann, Klaus; Agorastos, Agorastos; Gold, Stefan M.

2018-01-01

While a link between inflammation and the development of neuropsychiatric disorders, including major depressive disorder (MDD) is supported by a growing body of evidence, little is known about the contribution of aberrant adaptive immunity in this context. Here, we conducted in-depth characterization of T cell phenotype and T cell receptor (TCR) repertoire in MDD. For this cross-sectional case–control study, we recruited antidepressant-free patients with MDD without any somatic or psychiatric comorbidities (n = 20), who were individually matched for sex, age, body mass index, and smoking status to a non-depressed control subject (n = 20). T cell phenotype and repertoire were interrogated using a combination of flow cytometry, gene expression analysis, and next generation sequencing. T cells from MDD patients showed significantly lower surface expression of the chemokine receptors CXCR3 and CCR6, which are known to be central to T cell differentiation and trafficking. In addition, we observed a shift within the CD4+ T cell compartment characterized by a higher frequency of CD4+CD25highCD127low/− cells and higher FOXP3 mRNA expression in purified CD4+ T cells obtained from patients with MDD. Finally, flow cytometry-based TCR Vβ repertoire analysis indicated a less diverse CD4+ T cell repertoire in MDD, which was corroborated by next generation sequencing of the TCR β chain CDR3 region. Overall, these results suggest that T cell phenotype and TCR utilization are skewed on several levels in patients with MDD. Our study identifies putative cellular and molecular signatures of dysregulated adaptive immunity and reinforces the notion that T cells are a pathophysiologically relevant cell population in this disorder. PMID:29515587

Tumor segmentation of multi-echo MR T2-weighted images with morphological operators

NASA Astrophysics Data System (ADS)

Torres, W.; Martín-Landrove, M.; Paluszny, M.; Figueroa, G.; Padilla, G.

2009-02-01

In the present work an automatic brain tumor segmentation procedure based on mathematical morphology is proposed. The approach considers sequences of eight multi-echo MR T2-weighted images. The relaxation time T2 characterizes the relaxation of water protons in the brain tissue: white matter, gray matter, cerebrospinal fluid (CSF) or pathological tissue. Image data is initially regularized by the application of a log-convex filter in order to adjust its geometrical properties to those of noiseless data, which exhibits monotonously decreasing convex behavior. Finally the regularized data is analyzed by means of an 8-dimensional morphological eccentricity filter. In a first stage, the filter was used for the spatial homogenization of the tissues in the image, replacing each pixel by the most representative pixel within its structuring element, i.e. the one which exhibits the minimum total distance to all members in the structuring element. On the filtered images, the relaxation time T2 is estimated by means of least square regression algorithm and the histogram of T2 is determined. The T2 histogram was partitioned using the watershed morphological operator; relaxation time classes were established and used for tissue classification and segmentation of the image. The method was validated on 15 sets of MRI data with excellent results.

Fully Bayesian inference for structural MRI: application to segmentation and statistical analysis of T2-hypointensities.

PubMed

Schmidt, Paul; Schmid, Volker J; Gaser, Christian; Buck, Dorothea; Bührlen, Susanne; Förschler, Annette; Mühlau, Mark

2013-01-01

Aiming at iron-related T2-hypointensity, which is related to normal aging and neurodegenerative processes, we here present two practicable approaches, based on Bayesian inference, for preprocessing and statistical analysis of a complex set of structural MRI data. In particular, Markov Chain Monte Carlo methods were used to simulate posterior distributions. First, we rendered a segmentation algorithm that uses outlier detection based on model checking techniques within a Bayesian mixture model. Second, we rendered an analytical tool comprising a Bayesian regression model with smoothness priors (in the form of Gaussian Markov random fields) mitigating the necessity to smooth data prior to statistical analysis. For validation, we used simulated data and MRI data of 27 healthy controls (age: [Formula: see text]; range, [Formula: see text]). We first observed robust segmentation of both simulated T2-hypointensities and gray-matter regions known to be T2-hypointense. Second, simulated data and images of segmented T2-hypointensity were analyzed. We found not only robust identification of simulated effects but also a biologically plausible age-related increase of T2-hypointensity primarily within the dentate nucleus but also within the globus pallidus, substantia nigra, and red nucleus. Our results indicate that fully Bayesian inference can successfully be applied for preprocessing and statistical analysis of structural MRI data.

The Expansion Segments of 28S Ribosomal RNA Extensively Match Human Messenger RNAs

PubMed Central

Parker, Michael S.; Balasubramaniam, Ambikaipakan; Sallee, Floyd R.; Parker, Steven L.

2018-01-01

Eukaryote ribosomal RNAs (rRNAs) have expanded in the course of phylogeny by addition of nucleotides in specific insertion areas, the expansion segments. These number about 40 in the larger (25–28S) rRNA (up to 2,400 nucleotides), and about 12 in the smaller (18S) rRNA (<700 nucleotides). Expansion of the larger rRNA shows a clear phylogenetic increase, with a dramatic rise in mammals and especially in hominids. Substantial portions of expansion segments in this RNA are not bound to ribosomal proteins, and may engage extraneous interactants, including messenger RNAs (mRNAs). Studies on the ribosome-mRNA interaction have focused on proteins of the smaller ribosomal subunit, with some examination of 18S rRNA. However, the expansion segments of human 28S rRNA show much higher density and numbers of mRNA matches than those of 18S rRNA, and also a higher density and match numbers than its own core parts. We have studied that with frequent and potentially stable matches containing 7–15 nucleotides. The expansion segments of 28S rRNA average more than 50 matches per mRNA even assuming only 5% of their sequence as available for such interaction. Large expansion segments 7, 15, and 27 of 28S rRNA also have copious long (≥10-nucleotide) matches to most human mRNAs, with frequencies much higher than in other 28S rRNA parts. Expansion segments 7 and 27 and especially segment 15 of 28S rRNA show large size increase in mammals compared to other metazoans, which could reflect a gain of function related to interaction with non-ribosomal partners. The 28S rRNA expansion segment 15 shows very high increments in size, guanosine, and cytidine nucleotide content and mRNA matching in mammals, and especially in hominids. With these segments (but not with other 28S rRNA or any 18S rRNA expansion segments) the density and number of matches are much higher in 5′-terminal than in 3′-terminal untranslated mRNA regions, which may relate to mRNA mobilization via 5′ termini. Matches

Clinical evaluation of single-shot and readout-segmented diffusion-weighted imaging in stroke patients at 3 T.

PubMed

Morelli, John; Porter, David; Ai, Fei; Gerdes, Clint; Saettele, Megan; Feiweier, Thorsten; Padua, Abraham; Dix, James; Marra, Michael; Rangaswamy, Rajesh; Runge, Val

2013-04-01

Diffusion-weighted imaging (DWI) magnetic resonance imaging (MRI) is most commonly performed utilizing a single-shot echo-planar imaging technique (ss-EPI). Susceptibility artifact and image blur are severe when this sequence is utilized at 3 T. To evaluate a readout-segmented approach to DWI MR in comparison with single-shot echo planar imaging for brain MRI. Eleven healthy volunteers and 14 patients with acute and early subacute infarctions underwent DWI MR examinations at 1.5 and 3T with ss-EPI and readout-segmented echo-planar (rs-EPI) DWI at equal nominal spatial resolutions. Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) calculations were made, and two blinded readers ranked the scans in terms of high signal intensity bulk susceptibility artifact, spatial distortions, image blur, overall preference, and motion artifact. SNR and CNR were greatest with rs-EPI (8.1 ± 0.2 SNR vs. 6.0 ± 0.2; P <10(-4) at 3T). Spatial distortions were greater with single-shot (0.23 ± 0.03 at 3T; P <0.001) than with rs-EPI (0.12 ± 0.02 at 3T). Combined with blur and artifact reduction, this resulted in a qualitative preference for the readout-segmented scans overall. Substantial image quality improvements are possible with readout-segmented vs. single-shot EPI - the current clinical standard for DWI - regardless of field strength (1.5 or 3 T). This results in improved image quality secondary to greater real spatial resolution and reduced artifacts from susceptibility in MR imaging of the brain.

Colorization and Automated Segmentation of Human T2 MR Brain Images for Characterization of Soft Tissues

PubMed Central

Attique, Muhammad; Gilanie, Ghulam; Hafeez-Ullah; Mehmood, Malik S.; Naweed, Muhammad S.; Ikram, Masroor; Kamran, Javed A.; Vitkin, Alex

2012-01-01

Characterization of tissues like brain by using magnetic resonance (MR) images and colorization of the gray scale image has been reported in the literature, along with the advantages and drawbacks. Here, we present two independent methods; (i) a novel colorization method to underscore the variability in brain MR images, indicative of the underlying physical density of bio tissue, (ii) a segmentation method (both hard and soft segmentation) to characterize gray brain MR images. The segmented images are then transformed into color using the above-mentioned colorization method, yielding promising results for manual tracing. Our color transformation incorporates the voxel classification by matching the luminance of voxels of the source MR image and provided color image by measuring the distance between them. The segmentation method is based on single-phase clustering for 2D and 3D image segmentation with a new auto centroid selection method, which divides the image into three distinct regions (gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) using prior anatomical knowledge). Results have been successfully validated on human T2-weighted (T2) brain MR images. The proposed method can be potentially applied to gray-scale images from other imaging modalities, in bringing out additional diagnostic tissue information contained in the colorized image processing approach as described. PMID:22479421

Recommendations for the Use of Automated Gray Matter Segmentation Tools: Evidence from Huntington’s Disease

PubMed Central

Johnson, Eileanoir B.; Gregory, Sarah; Johnson, Hans J.; Durr, Alexandra; Leavitt, Blair R.; Roos, Raymund A.; Rees, Geraint; Tabrizi, Sarah J.; Scahill, Rachael I.

2017-01-01

The selection of an appropriate segmentation tool is a challenge facing any researcher aiming to measure gray matter (GM) volume. Many tools have been compared, yet there is currently no method that can be recommended above all others; in particular, there is a lack of validation in disease cohorts. This work utilizes a clinical dataset to conduct an extensive comparison of segmentation tools. Our results confirm that all tools have advantages and disadvantages, and we present a series of considerations that may be of use when selecting a GM segmentation method, rather than a ranking of these tools. Seven segmentation tools were compared using 3 T MRI data from 20 controls, 40 premanifest Huntington’s disease (HD), and 40 early HD participants. Segmented volumes underwent detailed visual quality control. Reliability and repeatability of total, cortical, and lobular GM were investigated in repeated baseline scans. The relationship between each tool was also examined. Longitudinal within-group change over 3 years was assessed via generalized least squares regression to determine sensitivity of each tool to disease effects. Visual quality control and raw volumes highlighted large variability between tools, especially in occipital and temporal regions. Most tools showed reliable performance and the volumes were generally correlated. Results for longitudinal within-group change varied between tools, especially within lobular regions. These differences highlight the need for careful selection of segmentation methods in clinical neuroimaging studies. This guide acts as a primer aimed at the novice or non-technical imaging scientist providing recommendations for the selection of cohort-appropriate GM segmentation software. PMID:29066997

[Transcranial direct current stimulation (tDCS) for depression: Results of nearly a decade of clinical research].

PubMed

Palm, U; Ayache, S S; Padberg, F; Lefaucheur, J-P

2016-02-01

Since 2006 transcranial direct current stimulation (tDCS) has been investigated in the treatment of depression. In this review, we discuss the implications and clinical perspectives that tDCS may have as a therapeutic tool in depression from the results reported in this domain. A comprehensive literature review has found nearly thirty articles - all in English - on this topic, corresponding to clinical studies, placebo-controlled or not, case reports and reviews. Several meta-analyses showed that the antidepressant effects of active tDCS are significant against placebo, but variable, mainly due to the heterogeneity of the patients included in the studies, for example regarding the resistance to antidepressant treatment. Specific recommendations for the use of tDCS in treating depression may not yet be available, but some elements of good practice can be highlighted. Of particular note is that anodal tDCS of the left prefrontal cortex at 2mA for 20 minutes per day has a potential therapeutic value without risk of significant side effects: tDCS offers safe conditions for clinical use in the treatment of depression. Copyright © 2015 L’Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

U.S. Army Custom Segmentation System

DTIC Science & Technology

2007-06-01

segmentation is individual or intergroup differences in response to marketing - mix variables. Presumptions about segments: •different demands in a...product or service category, •respond differently to changes in the marketing mix Criteria for segments: •The segments must exist in the environment

DEPRESSION AND INCIDENT ALZHEIMER’S DISEASE: THE IMPACT OF DEPRESSION SEVERITY

PubMed Central

Gracia-García, Patricia; de-la-Cámara, Concepción; Santabárbara, Javier; Lopez-Anton, Raúl; Quintanilla, Miguel Angel; Ventura, Tirso; Marcos, Guillermo; Campayo, Antonio; Saz, Pedro; Lyketsos, Constantine; Lobo, Antonio

2014-01-01

Objective We test the hypothesis that clinically significant depression, severe depression in particular, increases the risk of Alzheimer’s Disease (AD). Design A longitudinal, three-wave epidemiological enquiry was implemented in a sample of individuals aged ≥55 years (n = 4,803) followed-up at 2.5 years and 4.5 years. Setting Population-based cohort drawn from the ZARADEMP Project, in Zaragoza, Spain. Participants Cognitively intact individuals at baseline (n = 3,864). Main outcome measures Depression was assessed by a standardized diagnostic interview (Geriatric Mental State, GMS-AGECAT). A panel of research psychiatrist diagnosed AD according to DSM-IV criteria. Fine and Gray multivariate regression model was used in the analysis, accounting for mortality. Results At baseline, clinically significant depression was diagnosed in 452 participants (11.7%). Among the depressed, 16.4% had severe depression. Seventy incident cases of AD were found at follow-up. Compared with non-depressed individuals, the incidence rate of AD was significantly higher in the depressed (incidence rate ratio, IRR = 1.91 (95%CI: 1.04–3.51) and particularly in the severely depressed (IRR = 3.59 (95%CI: 1.30–9.94). A consistent, significant association was observed between severe depression at baseline and incident AD in the multivariate model (hazard ratio, HR = 4.30 (95%CI: 1.39–13.33). Untreated depression was associated with incident AD in the unadjusted model, although in the final model this association was attenuated and non-significant. Conclusions Severe depression increases the risk of AD, even after controlling for the competing risk of death. This finding may stimulate studies about the effect of treating depression in relation to the risk of AD. PMID:23791538

Thoracoscopic stapler-based "bidirectional" segmentectomy for posterior basal segment (S10) and its variants.

PubMed

Sato, Masaaki; Murayama, Tomonori; Nakajima, Jun

2018-04-01

Thoracoscopic segmentectomy for the posterior basal segment (S10) and its variant (e.g., S9+10 and S10b+c combined subsegmentectomy) is one of the most challenging anatomical segmentectomies. Stapler-based segmentectomy is attractive to simplify the operation and to prevent post-operative air leakage. However, this approach makes thoracoscopic S10 segmentectomy even more tricky. The challenges are caused mostly from the following three reasons: first, similar to other basal segments, "three-dimensional" stapling is needed to fold a cuboidal segment; second, the belonging pulmonary artery is not directly facing the interlobar fissure or the hilum, making identification of target artery difficult; third, the anatomy of S10 and adjacent segments such as superior (S6) and medial basal (S7) is variable. To overcome these challenges, this article summarizes the "bidirectional approach" that allows for solid confirmation of anatomy while avoiding separation of S6 and the basal segment. To assist this approach under limited thoracoscopic view, we also show stapling techniques to fold the cuboidal segment with the aid of "standing stiches". Attention should also be paid to the anatomy of adjacent segments particularly that of S7, which tends to be congested after stapling. The use of virtual-assisted lung mapping (VAL-MAP) is also recommended to demark resection lines because it flexibly allows for complex procedures such as combined subsegmentectomy such as S10b+c, extended segmentectomy such as S10+S9b, and non-anatomically extended segmentectomy.

The significance of early post-exercise ST segment normalization.

PubMed

Chow, Rudy; Fordyce, Christopher B; Gao, Min; Chan, Sammy; Gin, Kenneth; Bennett, Matthew

2015-01-01

The persistence of ST segment depression in recovery signifies a strongly positive exercise treadmill test (ETT). However, it is unclear if early recovery of ST segments portends a similar prognosis. We sought to determine if persistence of ST depression into recovery correlates with ischemic burden based on myocardial perfusion imaging (MPI). This was a retrospective analysis of 853 consecutive patients referred for exercise MPI at a tertiary academic center over a 24-month period. Patients were stratified into three groups based on the results of the ETT: normal (negative ETT), persistence (positive ETT with >1mm ST segment depression at 1minute in recovery) and early normalization (positive ETT with <1mm ST segment depression at 1minute in recovery). Summed stress scores (SSSs) were calculated then for each patient, while the coronary anatomy was reported for the subset of patients who received coronary angiograms. A total of 513 patients had a negative ETT, 235 patients met criteria for early normalization, while 105 patients met criteria for persistence. The persistence group had a significantly greater SSS (8.48±7.77) than both the early normalization (4.34±4.98, p<0.001) and normal (4.47±5.31, p<0.001) groups. The SSSs of the early normalization and normal groups were not statistically different and met the prespecified non-inferiority margin (mean difference 0.12, -0.66=lower 95% CI, p<0.001). Among the 87 patients who underwent an angiogram, significant three-vessel or left main disease was seen in 39.3% of the persistence group compared with 5.9% of normal and 7.4% of early normalization groups. Among patients with an electrically positive ETT, recovery of ST segment depression within 1minute was associated with a lower SSS than patients with persistence of ST depression beyond 1minute. Furthermore, early ST segment recovery conferred a similar SSS to patients with a negative ETT. These results suggest that among patients evaluated for chest pain with

Myocardial Iron Loading Assessment by Automatic Left Ventricle Segmentation with Morphological Operations and Geodesic Active Contour on T2* images

NASA Astrophysics Data System (ADS)

Luo, Yun-Gang; Ko, Jacky Kl; Shi, Lin; Guan, Yuefeng; Li, Linong; Qin, Jing; Heng, Pheng-Ann; Chu, Winnie Cw; Wang, Defeng

2015-07-01

Myocardial iron loading thalassemia patients could be identified using T2* magnetic resonance images (MRI). To quantitatively assess cardiac iron loading, we proposed an effective algorithm to segment aligned free induction decay sequential myocardium images based on morphological operations and geodesic active contour (GAC). Nine patients with thalassemia major were recruited (10 male and 16 female) to undergo a thoracic MRI scan in the short axis view. Free induction decay images were registered for T2* mapping. The GAC were utilized to segment aligned MR images with a robust initialization. Segmented myocardium regions were divided into sectors for a region-based quantification of cardiac iron loading. Our proposed automatic segmentation approach achieve a true positive rate at 84.6% and false positive rate at 53.8%. The area difference between manual and automatic segmentation was 25.5% after 1000 iterations. Results from T2* analysis indicated that regions with intensity lower than 20 ms were suffered from heavy iron loading in thalassemia major patients. The proposed method benefited from abundant edge information of the free induction decay sequential MRI. Experiment results demonstrated that the proposed method is feasible in myocardium segmentation and was clinically applicable to measure myocardium iron loading.

Depression and anxiety among parents of phenylketonuria children

PubMed Central

Gunduz, Mehmet; Arslan, Nur; Unal, Ozlem; Cakar, Sevim; Kuyum, Pınar; Bulbul, Selda F.

2015-01-01

Objective: To investigate the existence of depression and/or anxiety with underlying risk factors among parents of children with classical phenylketonuria (PKU). Methods: This cross-sectional study was conducted in the Division of Pediatric Metabolism, Ankara Children’s Hospital, Dokuz Eylul University, Kırıkkale University, and Erzurum Local Research Hospital, Turkey, between January and July 2014. Parents of 61 patients and 36 healthy controls completed the self-report questionnaires. We used Beck Depression Inventory (BDI) to assess the parental depression and State-Trait Anxiety Inventory S-T (STAI S-T) to assess parental anxiety. Results: Depression and anxiety scores were significantly higher in the case group (BDI 12.3±9.1; STAI-S: 38.2±9.6; STAI-T: 43.2±6.9) than controls (BDI: 5.4±4.1 p=0.000; STAI-S: 31.8±7.6 p=0.001; STAI-T: 37.0±7.2 p=0.000). Mothers of the patients had higher scores than the other parental groups (BDI: p=0.000, STAI-S: p=0.001 and STAI-T: p=0.000). Logistic regression analysis showed that low educational level of the parent was the only independent factor for depression (OR 9.96, 95% CI: 1.89-52.35, p=0.007) and state anxiety (OR: 6.99, 95% CI: 1.22-40.48, p=0.030) in the case group. Conclusion: A subset of parents with PKU patients have an anxiety or depressive disorder. Supportive services dealing with the parents of chronically ill children such as PKU are needed in order to reduce the level of anxiety. PMID:26492114

Variability and repertoire size of T-cell receptor V alpha gene segments.

PubMed

Becker, D M; Pattern, P; Chien, Y; Yokota, T; Eshhar, Z; Giedlin, M; Gascoigne, N R; Goodnow, C; Wolf, R; Arai, K

The immune system of higher organisms is composed largely of two distinct cell types, B lymphocytes and T lymphocytes, each of which is independently capable of recognizing an enormous number of distinct entities through their antigen receptors; surface immunoglobulin in the case of the former, and the T-cell receptor (TCR) in the case of the latter. In both cell types, the genes encoding the antigen receptors consist of multiple gene segments which recombine during maturation to produce many possible peptides. One striking difference between B- and T-cell recognition that has not yet been resolved by the structural data is the fact that T cells generally require a major histocompatibility determinant together with an antigen whereas, in most cases, antibodies recognize antigen alone. Recently, we and others have found that a series of TCR V beta gene sequences show conservation of many of the same residues that are conserved between heavy- and light-chain immunoglobulin V regions, and these V beta sequences are predicted to have an immunoglobulin-like secondary structure. To extend these studies, we have isolated and sequenced eight additional alpha-chain complementary cDNA clones and compared them with published sequences. Analyses of these sequences, reported here, indicate that V alpha regions have many of the characteristics of V beta gene segments but differ in that they almost always occur as cross-hybridizing gene families. We conclude that there may be very different selective pressures operating on V alpha and V beta sequences and that the V alpha repertoire may be considerably larger than that of V beta.

[Masked depression--history and present days].

PubMed

Miodek, Anna; Szemraj, Paweł; Kocur, Józef; Ryś, Anna

2007-07-01

Masked depression is a special form of an atypical depression. In the 70's and 80's years it was often identified at patients who complained on somatic diseases, without any distinguishable organic disorder. Depression symptoms were of secondary importance, with lesser intensification, some of them didn't appear at all. The psychiatrists of the time created a lot of terms to describe them, i.e.: a depression equivalent, a vegetative equivalent, a depression without a depression, a hidden depression. Current classifications: ICD-10 (International Classification of Diseases, 10th Revision) and DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, published by the American Psychiatric Association) do not contain the term masked depression. It doesn't mean that have disappeared the problem of atypical depression syndrome with a picture significantly different from the commonly known. The american scientists claim that such group contains 6-7% of depression disorders. The lack of proper diagnosis and disease entity qualification leads to serious somatic and psychological consequences for patients. Improper diagnosis and treatment of a patient limits his or her social and professional life, forms suicide rate and makes high costs of diagnosis and treatment.

Thoracoscopic stapler-based “bidirectional” segmentectomy for posterior basal segment (S10) and its variants

PubMed Central

Murayama, Tomonori; Nakajima, Jun

2018-01-01

Thoracoscopic segmentectomy for the posterior basal segment (S10) and its variant (e.g., S9+10 and S10b+c combined subsegmentectomy) is one of the most challenging anatomical segmentectomies. Stapler-based segmentectomy is attractive to simplify the operation and to prevent post-operative air leakage. However, this approach makes thoracoscopic S10 segmentectomy even more tricky. The challenges are caused mostly from the following three reasons: first, similar to other basal segments, “three-dimensional” stapling is needed to fold a cuboidal segment; second, the belonging pulmonary artery is not directly facing the interlobar fissure or the hilum, making identification of target artery difficult; third, the anatomy of S10 and adjacent segments such as superior (S6) and medial basal (S7) is variable. To overcome these challenges, this article summarizes the “bidirectional approach” that allows for solid confirmation of anatomy while avoiding separation of S6 and the basal segment. To assist this approach under limited thoracoscopic view, we also show stapling techniques to fold the cuboidal segment with the aid of “standing stiches”. Attention should also be paid to the anatomy of adjacent segments particularly that of S7, which tends to be congested after stapling. The use of virtual-assisted lung mapping (VAL-MAP) is also recommended to demark resection lines because it flexibly allows for complex procedures such as combined subsegmentectomy such as S10b+c, extended segmentectomy such as S10+S9b, and non-anatomically extended segmentectomy. PMID:29785292

Association between MTHFR C677T polymorphism and depression: a meta-analysis in the Chinese population.

PubMed

Jiang, Wei; Xu, Jun; Lu, Xiao-Jie; Sun, Yang

2016-09-01

Depression is a worldwide public health issue, and its prevalence increases each year. Although a number of studies have been conducted on the association between MTHFR C677T polymorphism and depression in China, this association remains elusive and controversial. To clarify the impact of MTHFR C677T polymorphism on the risk of depression, a meta-analysis was performed in the Chinese population. Relevant studies were identified using PubMed, Springer Link, Ovid, Chinese Wanfang Data Knowledge Service Platform, Chinese National Knowledge Infrastructure and Chinese Biology Medicine through May 5, 2015. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the associations. A total of 13 case-control studies including 1895 patients and 1913 controls were involved in this meta-analysis. Overall, T variant of MTHFR C677T gene polymorphism was significantly associated with an increased risk of depression in the Chinese population (T vs. C: OR = 1.52, 95% CI = 1.24-1.85; TT + CT vs. CC: OR = 1.64, 95% CI = 1.16-2.30; TT vs. CC: OR = 2.19, 95% CI = 1.49-3.24; TT vs. CC + CT: OR = 1.80, 95% CI = 1.31-2.46). In subgroup analyses stratified by geographic area and source of controls, the significant results were found in population-based studies, in hospital-based studies, in North and South China. The risk conferred by MTHFR C677T polymorphism is higher in North China than in South China. In conclusion, this meta-analysis suggests that MTHFR C677T polymorphism is associated with depression in the Chinese population, but these associations vary in different geographic locations.

Prenatal depression in Latinas in the U.S. and Mexico.

PubMed

Lara, Ma Asunción; Le, Huynh-Nhu; Letechipia, Gabriela; Hochhausen, Laila

2009-07-01

The study aimed to investigate the prevalence of depressive symptoms and their associated risk factors during pregnancy in Latinas in the United States (U.S.) and Mexico. The sample included 108 women in the U.S. whose data were obtained from medical chart reviews in a community clinic in Washington, D.C., and 117 women in Mexico who participated in face-to-face interviews in the waiting rooms of primary care community centers in Mexico City. Variables, chosen to match in both countries for comparisons, were: socio-demographics, pregnancy gestation and order, social support, depressive symptoms, personal history of depression, family psychiatric history, and suicidal thoughts. Depressive symptoms were measured using the Center for Epidemiological Studies Depression Scale (CES-D). The prevalence of depressive symptoms was 32.4% for pregnant Latinas and 36.8% for Mexicans (CES-D > or = 16), and 15.7% and 23.9% (CES-D > or = 24), respectively, with no differences between groups. Separate multiple logistic regression analyses showed that for U.S. Latinas: (1) being more educated predicted depressive symptoms (CES-D > or = 16), and (2) second trimester, as compared to first, also predicted symptoms (CES-D > or /= 24). (3) History of suicidal thoughts predicted symptoms in Latinas in the U.S. (CES-D > or = 24) and in Mexico (using both definitions of high symptoms), and (4) living with a partner but not formally married and multi-parous condition predicted symptoms (CES-D > or /= 24) among pregnant Mexicans. A high prevalence of depressive symptoms and significant risk factors during pregnancy were found in Latinas in U.S. and Mexico, suggesting increased risk for postpartum major depression. Implications for screening and interventions are discussed.

Detailing magnetic field strength dependence and segmental artifact distribution of myocardial effective transverse relaxation rate at 1.5, 3.0, and 7.0 T.

PubMed

Meloni, Antonella; Hezel, Fabian; Positano, Vincenzo; Keilberg, Petra; Pepe, Alessia; Lombardi, Massimo; Niendorf, Thoralf

2014-06-01

Realizing the challenges and opportunities of effective transverse relaxation rate (R2 *) mapping at high and ultrahigh fields, this work examines magnetic field strength (B0 ) dependence and segmental artifact distribution of myocardial R2 * at 1.5, 3.0, and 7.0 T. Healthy subjects were considered. Three short-axis views of the left ventricle were examined. R2 * was calculated for 16 standard myocardial segments. Global and mid-septum R2 * were determined. For each segment, an artifactual factor was estimated as the deviation of segmental from global R2 * value. The global artifactual factor was significantly enlarged at 7.0 T versus 1.5 T (P = 0.010) but not versus 3.0 T. At 7.0 T, the most severe susceptibility artifacts were detected in the inferior lateral wall. The mid-septum showed minor artifactual factors at 7.0 T, similar to those at 1.5 and 3.0 T. Mean R2 * increased linearly with the field strength, with larger changes for global heart R2 * values. At 7.0 T, segmental heart R2 * analysis is challenging due to macroscopic susceptibility artifacts induced by the heart-lung interface and the posterior vein. Myocardial R2 * depends linearly on the magnetic field strength. The increased R2 * sensitivity at 7.0 T might offer means for susceptibility-weighted and oxygenation level-dependent MR imaging of the myocardium. Copyright © 2013 Wiley Periodicals, Inc.

TPH2 -703G/T SNP may have important effect on susceptibility to suicidal behavior in major depression.

PubMed

Yoon, Ho-Kyoung; Kim, Yong-Ku

2009-04-30

Serotonergic system-related genes can be good candidate genes for both major depressive disorder (MDD) and suicidal behavior. In this study, we aimed to investigate the association of serotonin 2A receptor gene -1438A/G SNP (HTR2A -1438A/G), tryptophan hydroxylase 2 gene -703G/T SNP (TPH2 -703G/T) and serotonin 1A receptor C-1019G (HTR1A C-1019G) with suicidal behavior. One hundred and eighty one suicidal depressed patients and 143 non-suicidal depressed patients who met DSM-IV criteria for major depressive disorder were recruited from patients who were admitted to Korea University Ansan Hospital. One hundred seventy six normal controls were healthy volunteers who were recruited by local advertisement. Patients and normal controls were genotyped for HTR2A -1438A/G, TPH2 -703G/T and 5-HT1A C-1019G. The suicidal depressed patients were evaluated by the lethality of individual suicide attempts using Weisman and Worden's risk-rescue rating (RRR) and the Lethality Suicide Attempt Rating Scale-updated (LSARS-II). In order to assess the severity of depressive symptoms of patients, Hamilton's Depression Rating Scale (HDRS) was administered. Genotype and allele frequencies were compared between groups by chi(2) statistics. Association of genotype of the candidate genes with the lethality of suicidal behavior was examined with ANOVA by comparing the mean scores of LSARS and RRR according to the genotype. There were statistically significant differences in the genotype distributions and allele frequencies of TPH2 -703G/T between the suicidal depressive group and the normal control group. The homozygous allele G (G/G genotype) frequency was significantly higher in suicidal depressed patients than in controls. However, no differences in either genotype distribution or in allele frequencies of HTR2A -1438A/G and HTR1A C-1019G were observed between the suicidal depressed patients, the non-suicidal depressed patients, and the normal controls. There were no differences in the

Combined magnitude and phase-based segmentation of the cerebral cortex in 7T MR images of the elderly.

PubMed

Doan, Nhat Trung; van Rooden, Sanneke; Versluis, Maarten J; Webb, Andrew G; van der Grond, Jeroen; van Buchem, Mark A; Reiber, Johan H C; Milles, Julien

2012-07-01

To propose a new method that integrates both magnitude and phase information obtained from magnetic resonance (MR) T*(2) -weighted scans for cerebral cortex segmentation of the elderly. This method makes use of K-means clustering on magnitude and phase images to compute an initial segmentation, which is further refined by means of transformation with reconstruction criteria. The method was evaluated against the manual segmentation of 7T in vivo MR data of 20 elderly subjects (age = 67.7 ± 10.9). The added value of combining magnitude and phase was also evaluated by comparing the performance of the proposed method with the results obtained when limiting the available data to either magnitude or phase. The proposed method shows good overlap agreement, as quantified by the Dice Index (0.79 ± 0.04), limited bias (average relative volume difference = 2.94%), and reasonable volumetric correlation (R = 0.555, p = 0.011). Using the combined magnitude and phase information significantly improves the segmentation accuracy compared with using either magnitude or phase. This study suggests that the proposed method is an accurate and robust approach for cerebral cortex segmentation in datasets presenting low gray/white matter contrast. Copyright © 2012 Wiley Periodicals, Inc.

Characterization of the L4-L5-S1 motion segment using the stepwise reduction method.

PubMed

Jaramillo, Héctor Enrique; Puttlitz, Christian M; McGilvray, Kirk; García, José J

2016-05-03

The two aims of this study were to generate data for a more accurate calibration of finite element models including the L5-S1 segment, and to find mechanical differences between the L4-L5 and L5-S1 segments. Then, the range of motion (ROM) and facet forces for the L4-S1 segment were measured using the stepwise reduction method. This consists of sequentially testing and reducing each segment in nine stages by cutting the ligaments, facet capsules, and removing the nucleus. Five L4-S1 human segments (median: 65 years, range: 53-84 years, SD=11.0 years) were loaded under a maximum pure moment of 8Nm. The ROM was measured using stereo-photogrammetry via tracking of three markers and the facet contact forces (CF) were measured using a Tekscan system. The ROM for the L4-L5 segment and all stages showed good agreement with published data. The major differences in ROM between the L4-L5 and L5-S1 segments were found for lateral bending and all stages, for which the L4-L5 ROM was about 1.5-3 times higher than that of the L5-S1 segment, consistent with L5-S1 facet CF about 1.3 to 4 times higher than those measured for the L4-L5 segment. For the other movements and few stages, the L4-L5 ROM was significantly lower that of the L5-S1 segment. ROM and CF provide important baseline data for more accurate calibration of FE models and to understand the role that their structures play in lower lumbar spine mechanics. Copyright © 2016 Elsevier Ltd. All rights reserved.

A Developmental Decline in the Learning-Promoting Effects of Infant-Directed Speech for Infants of Mothers with Chronically Elevated Symptoms of Depression

PubMed Central

Kaplan, Peter S.; Danko, Christina M.; Kalinka, Christina J.; Cejka, Anna M.

2014-01-01

Infants of mothers who varied in symptoms of depression were tested at 4 and 12 months of age for their ability to associate a segment of an unfamiliar non-depressed mother’s infant-directed speech (IDS) with a face. At 4 months, all infants learned the voice-face association. At 12 months, despite the fact that none of the mothers were still clinically depressed, infants of mothers with chronically elevated self-reported depressive symptoms, and infants of mothers with elevated self-reported depressive symptoms at 4 months but not 12 months, on average did not learn the association. For infants of mothers diagnosed with depression in remission, learning at 12 months was negatively correlated with the postpartum duration of the mother’s depressive episode. At neither age did extent of pitch modulation in the IDS segments correlate with infant learning. However, learning scores at 12 months correlated significantly with concurrent maternal reports of infant receptive language development. The roles of the duration and timing of maternal depressive symptoms are discussed. PMID:22721737

Relation of Positive and Negative Parenting to Children’s Depressive Symptoms

PubMed Central

Dallaire, Danielle H.; Pineda, Ashley Q.; Cole, David A.; Ciesla, Jeffrey A.; Jacquez, Farrah; LaGrange, Beth; Bruce, Alanna E.

2011-01-01

This study examined the combined and cumulative effects of supportive–positive and harsh–negative parenting behaviors on children’s depressive symptoms. A diverse sample of 515 male and female elementary and middle school students (ages 7 to 11) and their parents provided reports of the children’s depressive symptoms. Parents provided self-reports of supportive–positive and harsh–negative parenting behaviors. Structural equation modeling indicated that supportive–positive and harsh–negative parenting behaviors were nearly orthogonal dimensions of parenting and both related to children’s depressive symptoms. Supportive–positive parenting behaviors did not moderate the relation between harsh–negative parenting behaviors and children’s depressive symptoms. Results have implications for family intervention and preventions strategies. PMID:16597227

Probabilistic atlas-based segmentation of combined T1-weighted and DUTE MRI for calculation of head attenuation maps in integrated PET/MRI scanners.

PubMed

Poynton, Clare B; Chen, Kevin T; Chonde, Daniel B; Izquierdo-Garcia, David; Gollub, Randy L; Gerstner, Elizabeth R; Batchelor, Tracy T; Catana, Ciprian

2014-01-01

We present a new MRI-based attenuation correction (AC) approach for integrated PET/MRI systems that combines both segmentation- and atlas-based methods by incorporating dual-echo ultra-short echo-time (DUTE) and T1-weighted (T1w) MRI data and a probabilistic atlas. Segmented atlases were constructed from CT training data using a leave-one-out framework and combined with T1w, DUTE, and CT data to train a classifier that computes the probability of air/soft tissue/bone at each voxel. This classifier was applied to segment the MRI of the subject of interest and attenuation maps (μ-maps) were generated by assigning specific linear attenuation coefficients (LACs) to each tissue class. The μ-maps generated with this "Atlas-T1w-DUTE" approach were compared to those obtained from DUTE data using a previously proposed method. For validation of the segmentation results, segmented CT μ-maps were considered to the "silver standard"; the segmentation accuracy was assessed qualitatively and quantitatively through calculation of the Dice similarity coefficient (DSC). Relative change (RC) maps between the CT and MRI-based attenuation corrected PET volumes were also calculated for a global voxel-wise assessment of the reconstruction results. The μ-maps obtained using the Atlas-T1w-DUTE classifier agreed well with those derived from CT; the mean DSCs for the Atlas-T1w-DUTE-based μ-maps across all subjects were higher than those for DUTE-based μ-maps; the atlas-based μ-maps also showed a lower percentage of misclassified voxels across all subjects. RC maps from the atlas-based technique also demonstrated improvement in the PET data compared to the DUTE method, both globally as well as regionally.

Probabilistic atlas-based segmentation of combined T1-weighted and DUTE MRI for calculation of head attenuation maps in integrated PET/MRI scanners

PubMed Central

Poynton, Clare B; Chen, Kevin T; Chonde, Daniel B; Izquierdo-Garcia, David; Gollub, Randy L; Gerstner, Elizabeth R; Batchelor, Tracy T; Catana, Ciprian

2014-01-01

We present a new MRI-based attenuation correction (AC) approach for integrated PET/MRI systems that combines both segmentation- and atlas-based methods by incorporating dual-echo ultra-short echo-time (DUTE) and T1-weighted (T1w) MRI data and a probabilistic atlas. Segmented atlases were constructed from CT training data using a leave-one-out framework and combined with T1w, DUTE, and CT data to train a classifier that computes the probability of air/soft tissue/bone at each voxel. This classifier was applied to segment the MRI of the subject of interest and attenuation maps (μ-maps) were generated by assigning specific linear attenuation coefficients (LACs) to each tissue class. The μ-maps generated with this “Atlas-T1w-DUTE” approach were compared to those obtained from DUTE data using a previously proposed method. For validation of the segmentation results, segmented CT μ-maps were considered to the “silver standard”; the segmentation accuracy was assessed qualitatively and quantitatively through calculation of the Dice similarity coefficient (DSC). Relative change (RC) maps between the CT and MRI-based attenuation corrected PET volumes were also calculated for a global voxel-wise assessment of the reconstruction results. The μ-maps obtained using the Atlas-T1w-DUTE classifier agreed well with those derived from CT; the mean DSCs for the Atlas-T1w-DUTE-based μ-maps across all subjects were higher than those for DUTE-based μ-maps; the atlas-based μ-maps also showed a lower percentage of misclassified voxels across all subjects. RC maps from the atlas-based technique also demonstrated improvement in the PET data compared to the DUTE method, both globally as well as regionally. PMID:24753982

Parental Depression and Child Cognitive Vulnerability Predict Children’s Cortisol Reactivity

PubMed Central

Hayden, Elizabeth P.; Hankin, Benjamin L.; Mackrell, Sarah V.M.; Sheikh, Haroon I.; Jordan, Patricia L.; Dozois, David J.A.; Singh, Shiva M.; Olino, Thomas M.; Badanes, Lisa S.

2015-01-01

Risk for depression is expressed across multiple levels of analysis. For example, parental depression and cognitive vulnerability are known markers of depression risk, but no study has examined their interactive effects on children’s cortisol reactivity, a likely mediator of early depression risk. We examined relations across these different levels of vulnerability using cross-sectional and longitudinal methods in two community samples of children. Children were assessed for cognitive vulnerability using self-reports (Study 1; n = 244) and tasks tapping memory and attentional bias (Study 2; n = 205), and their parents were assessed for depression history using structured clinical interviews. In both samples, children participated in standardized stress tasks and cortisol reactivity was assessed. Cross-sectionally and longitudinally, parental depression history and child cognitive vulnerability interacted to predict children’s cortisol reactivity; specifically, associations between parent depression and elevated child cortisol activity were found when children also showed elevated depressotypic attributions, as well as attentional and memory biases. Findings indicate that models of children’s emerging depression risk may benefit from the examination of the interactive effects of multiple sources of vulnerability across levels of analysis. PMID:25422972

Ambulatory recorded ST segment depression on ECG is associated with lower cognitive function in healthy elderly men

PubMed Central

Elmståhl, Sölve; Furuäng, Linda

2009-01-01

ST segment depression (STDE) has been found to be associated with cardiovascular disease in the elderly. Studies of the relation of ambulatory STDE to cognitive function in elderly persons aged 80 years or above is lacking. Objective: To study the association between STDE and cognition. Design and participants: A cross-sectional cohort study of 88 81-year-old men from the population study “Men born in 1914” investigated in an outpatient research clinic. Measurements included ambulatory 24-hour electrocardiogram (ECG) monitoring and a cognitive test battery of six tests. Proportion of lower cognitive function was calculated for each test in relation to STDE during the day and at night-time. Results: Fifty-eight percent of the men had STDE and a higher proportion with low visuospatial cognitive function was found among those with STDE compared to the others (84% vs 59%; p = 0.014). A significant trend was noted for subjects without STDE compared to STDE night-time less than 60 minutes and night-time more than 60 minutes for spatial and verbal cognitive functions (p = 0.022). No trends were noted for STDE daytime. Maximal STDE during night showed similar association to spatial function (Benton Visual Retention test, r = −0.26; p = 0.028). Even when seven subjects with a history of stroke were excluded, the occurrence of STDE was associated to lower visuospatial cognitive function compared to those without STDE (87% vs 57%; p = 0.004). Conclusion: ST segment depression on ECG is common among elderly men and might be a vascular risk factor for cognitive deterioration. PMID:20360898

Children’s Education and Parents’ Trajectories of Depressive Symptoms

PubMed Central

Lee, Chioun; Glei, Dana A.; Goldman, Noreen; Weinstein, Maxine

2017-01-01

Using five waves of the Taiwanese Longitudinal Study of Aging (1996–2011), we investigate (a) the association between family members’ education and the age trajectories of individuals’ depressive symptoms and (b) gender differences in those relationships. Our examination is guided by several theoretical frameworks, including social capital, social control, age-as-leveler, and resource substitution. Nested models show that having a more educated father is associated with lower depressive symptoms, but the relationship disappears after controlling for respondent’s education. Including spouse’s education attenuates the coefficient for respondent’s education. A similar pattern appears when children’s education is added to the model. Among all the family members, children’s education has the strongest association with depressive symptoms, with a similar magnitude for both genders, although its strength gradually weakens as respondents age. Our findings suggest the importance of the transfer of resources from children to parents and how it may affect mental health at older ages. PMID:28661765

Assessing depression and factors possibly associated with depression during the course of Parkinson’s disease

PubMed Central

Farabaugh, Amy H.; Locascio, Joseph J.; Yap, Liang; Fava, Maurizio; Bitran, Stella; Sousa, Jessica L.; Growdon, John H.

2011-01-01

BACKGROUND Although research suggests depression is common among individuals with Parkinson’s disease (PD), it is unclear how to best assess depression in PD (dPD). We wanted to examine the prevalence of dPD using different definitions of depression, as well as examine factors associated with dPD. METHODS One hundred fifty-eight individuals (68% male; age 66.8 ± 9.6 SD) with a primary diagnosis of PD were assessed for depression using the Harvard Department of Psychiatry/National Depression Screening Day Scale (HANDS) in an outpatient setting at the Movement Disorders Clinic at Massachusetts General Hospital. We defined depression using 4 thresholds based on the HANDS and whether or not an individual was ever on an antidepressant regimen. We also examined potential predictors of the presence of dPD. RESULTS The prevalence of depression among study participants ranged from 11% to 57%, depending on which of the 4 definitions of depression was applied. Younger age and longer duration of PD predicted a relatively higher prevalence of depression. Having a history of depression prior to onset of PD also was predictive of dPD. CONCLUSIONS Depression appears to be relatively common among individuals with PD, and history of depression, younger age, and longer PD duration may be factors associated with dPD. PMID:21808748

Prefrontal transcranial direct current stimulation (tDCS) as treatment for major depression: study design and methodology of a multicenter triple blind randomized placebo controlled trial (DepressionDC).

PubMed

Padberg, Frank; Kumpf, Ulrike; Mansmann, Ulrich; Palm, Ulrich; Plewnia, Christian; Langguth, Berthold; Zwanzger, Peter; Fallgatter, Andreas; Nolden, Jana; Burger, Max; Keeser, Daniel; Rupprecht, Rainer; Falkai, Peter; Hasan, Alkomiet; Egert, Silvia; Bajbouj, Malek

2017-12-01

Transcranial direct current stimulation (tDCS) has been proposed as novel treatment for major depressive disorder (MDD) based on clinical pilot studies as well as randomized controlled monocentric trials. The DepressionDC trial is a triple-blind (blinding of rater, operator and patient), randomized, placebo controlled multicenter trial investigating the efficacy and safety of prefrontal tDCS used as additive treatment in MDD patients who have not responded to selective serotonin reuptake inhibitors (SSRI). At 5 study sites, 152 patients with MDD receive a 6-weeks treatment with active tDCS (anode F3 and cathode F4, 2 mA intensity, 30 min/day) or sham tDCS add-on to a stable antidepressant medication with an SSRI. Follow-up visits are at 3 and 6 months after the last tDCS session. The primary outcome measure is the change of the Montgomery-Asberg Depression Rating Scale (MADRS) scores at week 6 post-randomisation compared to baseline. Secondary endpoints also cover other psychopathological domains, and a comprehensive safety assessment includes measures of cognition. Patients undergo optional investigations comprising genetic testing and functional magnetic resonance imaging (fMRI) of structural and functional connectivity. The study uses also an advanced tDCS technology including standard electrode positioning and recording of technical parameters (current, impedance, voltage) in every tDCS session. Aside reporting the study protocol here, we present a novel approach for monitoring technical parameters of tDCS which will allow quality control of stimulation and further analysis of the interaction between technical parameters and clinical outcome. The DepressionDC trial will hopefully answer the important clinical question whether prefrontal tDCS is a safe and effective antidepressant intervention in patients who have not sufficiently responded to SSRIs. ClinicalTrials.gov Identifier NCT0253016.

Abnormal functional connectivity of the posterior cingulate cortex is associated with depressive symptoms in patients with Alzheimer’s disease

PubMed Central

Zhang, Jiangtao; Guo, Zhongwei; Liu, Xiaozheng; Jia, Xize; Li, Jiapeng; Li, Yaoyao; Lv, Danmei; Chen, Wei

2017-01-01

Background Depressive symptoms are significant and very common psychiatric complications in patients with Alzheimer’s disease (AD), which can aggravate the decline in social function. However, changes in the functional connectivity (FC) of the brain in AD patients with depressive symptoms (D-AD) remain unclear. Objective To investigate whether any differences exist in the FC of the posterior cingulate cortex (PCC) between D-AD patients and non-depressed AD patients (nD-AD). Materials and methods We recruited 15 D-AD patients and 17 age-, sex-, educational level-, and Mini-Mental State Examination (MMSE)-matched nD-AD patients to undergo tests using the Neuropsychiatric Inventory, Hamilton Depression Rating Scale, and 3.0T resting-state functional magnetic resonance imaging. Bilateral PCC were selected as the regions of interest and between-group differences in the PCC FC network were assessed using Student’s t-test. Results Compared with the nD-AD group, D-AD patients showed increased PCC FC in the right amygdala, right parahippocampus, right superior temporal pole, right middle temporal lobe, right middle temporal pole, and right hippocampus (AlphaSim correction; P<0.05). In the nD-AD group, MMSE scores were positively correlated with PCC FC in the right superior temporal pole and right hippocampus (false discovery rate corrected; P<0.05). Conclusion Differences were detected in PCC FC between nD-AD and D-AD patients, which may be related to depressive symptoms. Our study provides a significant enhancement to our understanding of the functional mechanisms underlying D-AD. PMID:29066900

Depressed immune surveillance against cancer: role of deficient T cell: extracellular matrix interactions.

PubMed

Górski, A; Castronovo, V; Stepień-Sopniewska, B; Grieb, P; Ryba, M; Mrowiec, T; Korczak-Kowalska, G; Wierzbicki, P; Matysiak, W; Dybowska, B

1994-07-01

Although T cells infiltrate malignant tumors, the local immune response is usually inefficient and tumors escape destruction. While extracellular matrix proteins strongly costimulate T cell responses in normal individuals, our studies indicate that peripheral blood T cells from cancer patients and tumor infiltrating cells respond poorly or are resistant to stimulative signals mediated by collagen I and IV and fibronectin. Moreover, the adhesive properties of cancer T cells are markedly depressed. Those functional deficiencies are paralleled by variable deficits in integrin and non-integrin T cell receptors for extracellular matrix. Immunotherapy with BCG causes a dramatic but transient increase in T cell: ECM interactions.

Semiautomated Segmentation of Polycystic Kidneys in T2-Weighted MR Images.

PubMed

Kline, Timothy L; Edwards, Marie E; Korfiatis, Panagiotis; Akkus, Zeynettin; Torres, Vicente E; Erickson, Bradley J

2016-09-01

The objective of the present study is to develop and validate a fast, accurate, and reproducible method that will increase and improve institutional measurement of total kidney volume and thereby avoid the higher costs, increased operator processing time, and inherent subjectivity associated with manual contour tracing. We developed a semiautomated segmentation approach, known as the minimal interaction rapid organ segmentation (MIROS) method, which results in human interaction during measurement of total kidney volume on MR images being reduced to a few minutes. This software tool automatically steps through slices and requires rough definition of kidney boundaries supplied by the user. The approach was verified on T2-weighted MR images of 40 patients with autosomal dominant polycystic kidney disease of varying degrees of severity. The MIROS approach required less than 5 minutes of user interaction in all cases. When compared with the ground-truth reference standard, MIROS showed no significant bias and had low variability (mean ± 2 SD, 0.19% ± 6.96%). The MIROS method will greatly facilitate future research studies in which accurate and reproducible measurements of cystic organ volumes are needed.

Fully convolutional networks (FCNs)-based segmentation method for colorectal tumors on T2-weighted magnetic resonance images.

PubMed

Jian, Junming; Xiong, Fei; Xia, Wei; Zhang, Rui; Gu, Jinhui; Wu, Xiaodong; Meng, Xiaochun; Gao, Xin

2018-06-01

Segmentation of colorectal tumors is the basis of preoperative prediction, staging, and therapeutic response evaluation. Due to the blurred boundary between lesions and normal colorectal tissue, it is hard to realize accurate segmentation. Routinely manual or semi-manual segmentation methods are extremely tedious, time-consuming, and highly operator-dependent. In the framework of FCNs, a segmentation method for colorectal tumor was presented. Normalization was applied to reduce the differences among images. Borrowing from transfer learning, VGG-16 was employed to extract features from normalized images. We conducted five side-output blocks from the last convolutional layer of each block of VGG-16 along the network, these side-output blocks can deep dive multiscale features, and produced corresponding predictions. Finally, all of the predictions from side-output blocks were fused to determine the final boundaries of the tumors. A quantitative comparison of 2772 colorectal tumor manual segmentation results from T2-weighted magnetic resonance images shows that the average Dice similarity coefficient, positive predictive value, specificity, sensitivity, Hammoude distance, and Hausdorff distance were 83.56, 82.67, 96.75, 87.85%, 0.2694, and 8.20, respectively. The proposed method is superior to U-net in colorectal tumor segmentation (P < 0.05). There is no difference between cross-entropy loss and Dice-based loss in colorectal tumor segmentation (P > 0.05). The results indicate that the introduction of FCNs contributed to accurate segmentation of colorectal tumors. This method has the potential to replace the present time-consuming and nonreproducible manual segmentation method.

An association of health behaviors with depression and metabolic risks: Data from 2007 to 2014 U.S. National Health and Nutrition Examination Survey.

PubMed

Liu, Ying; Ozodiegwu, Ifeoma D; Yu, Yang; Hess, Rick; Bie, Ronghai

2017-08-01

Both depression and metabolic syndrome (MetS) confer an increased risk of developing type 2 diabetes (T2D) and cardiovascular disease. Accumulating evidence suggests healthy behaviors are crucial to maintain, improve and manage chronical disease and mental health; and unhealthy diet and sedentary behavior were found two major risk factors of MetS. The objective of this study was to investigate whether health behaviors (alcohol consumption, smoking, diet and recreational physical activity) are associated with depression and metabolic syndrome simultaneously. This study included 1300 participants aged 20 years and over who had answered mental health-depression screener questions (PHQ-9) and finished examinations and laboratory tests related to five risk factors of MetS during the U.S. National Health and Nutrition Examination Survey (NHANES) 2007-2014. A set of series of weighted logistic regression models were used to investigate the aforementioned relationship. The prevalence of depression among U.S. adults is 15.08%. The two most often reported depression symptoms were "Trouble sleeping or sleeping too much" and "Feeling tired or having little energy", with rates of14.68% and 13.09%, respectively. Participants who engaged in only light physical activity were more likely to have been identified as experiencing depression and MetS than those who engaged in vigorous physical activity with odd ratios 3.18 (95% CI: 1.59, 6.37) and 3.50 (95%CI: 2.17, 5.63), respectively. Individuals in the study having poor diets were more likely to suffer from depression than those eating good diets (OR=2.17, 95%CI: 1.47, 3.22). Physical activity is strongly and inversely associated with depression and MetS. Diet is significantly associated with depression rather than MetS in this study. Copyright © 2017 Elsevier B.V. All rights reserved.

Perceived Social Cohesion, Frequency of Going Out, and Depressive Symptoms in Older Adults

PubMed Central

Choi, Namkee G.; Kim, Jinseok; DiNitto, Diana M.; Marti, C. Nathan

2015-01-01

Objective: To examine both cross-sectional and longitudinal relationships between older adults’ perceptions of social cohesion in their community and depressive symptoms and the potential mediating effect of the frequency of going outside one’s home/building. Method: Using two waves (T1 and T2) of the National Health and Aging Trend Study (n = 5,326), gender-stratified structural equation models were estimated to determine direct and indirect effects of perceived social cohesion on depressive symptoms. Results: At T1, both perceived cohesion and frequency of going out were directly associated with depressive symptoms; however, perceived cohesion predicted frequency of going out only for women. At T2, only frequency of going out was directly associated with depressive symptoms, although perceived cohesion predicted frequency of going out for both genders. T1 perceived cohesion did not predict T2 depressive symptoms. T1 depressive symptoms were the strongest predictor of T2 depressive symptoms. Conclusion: The findings underscore the importance of enhancing the social environment in promoting mental health in late life through active aging. PMID:28138478

Kinematics of the thoracic T10-T11 motion segment: locus of instantaneous axes of rotation in flexion and extension.

PubMed

Qiu, Tian-Xia; Teo, Ee-Chon; Lee, Kim-Kheng; Ng, Hong-Wan; Yang, Kai

2004-04-01

The purpose of this study was to determine the locations and loci of instantaneous axes of rotation (IARs) of the T10-T11 motion segment in flexion and extension. An anatomically accurate three-dimensional model of thoracic T10-T11 functional spinal unit (FSU) was developed and validated against published experimental data under flexion, extension, lateral bending, and axial rotation loading configurations. The validated model was exercised under six load configurations that produced motions only in the sagittal plane to characterize the loci of IARs for flexion and extension. The IARs for both flexion and extension under these six load types were directly below the geometric center of the moving vertebra, and all the loci of IARs were tracked superoanteriorly for flexion and inferoposteriorly for extension with rotation. These findings may offer an insight to better understanding of the kinematics of the human thoracic spine and provide clinically relevant information for the evaluation of spinal stability and implant device functionality.

Depression and Retirement in Late Middle-Aged U.S. Workers

PubMed Central

Doshi, Jalpa A; Cen, Liyi; Polsky, Daniel

2008-01-01

Objective To determine whether late middle-aged U.S. workers with depression are at an increased risk for retirement. Data Source Six biennial waves (1992–2002) of the Health and Retirement Study, a nationally representative panel survey of noninstitutionalized 51–61-year-olds and their spouses started in 1992. Study Design Workers aged 53–58 years in 1994 were followed every 2 years thereafter, through 2002. Depression was coded as lagged time-dependent variables measuring active depression and severity of depression. The main outcome variable was a transition to retirement which was measured using two distinct definitions to capture different stages in the retirement process: (1) Retirement was defined as a transition out of the labor force in the sample of all labor force participants (N = 2,853); (2) In addition a transition out of full time work was used as the retirement definition in the subset of labor force participants who were full time workers (N = 2,288). Principal Findings In the sample of all labor force participants, the presence of active depression significantly increased the hazard of retirement in both late middle-aged men (adjusted OR: 1.37 [95 percent CI 1.05, 1.80]) and women (adjusted OR: 1.40 [95 percent CI 1.10, 1.78]). For women, subthreshold depression was also a significant predictor of retirement. In the sample of full time workers, the relationship between depression and retirement was considerably weaker for women yet remained strong for men. Conclusions Depression and depressive symptoms were significantly associated with retirement in late middle-aged U.S. workers. Policymakers must consider the potentially adverse impact of these labor market outcomes when estimating the cost of untreated depression and evaluating the value of interventions to improve the diagnosis and treatment of depression. PMID:18370974

Neutralisation of a single voltage sensor affects gating determinants in all four pore-forming S6 segments of Ca(V)1.2: a cooperative gating model.

PubMed

Beyl, Stanislav; Depil, Katrin; Hohaus, Annette; Stary-Weinzinger, Anna; Linder, Tobias; Timin, Eugen; Hering, Steffen

2012-10-01

Voltage sensors trigger the closed-open transitions in the pore of voltage-gated ion channels. To probe the transmission of voltage sensor signalling to the channel pore of Ca(V)1.2, we investigated how elimination of positive charges in the S4 segments (charged residues were replaced by neutral glutamine) modulates gating perturbations induced by mutations in pore-lining S6 segments. Neutralisation of all positively charged residues in IIS4 produced a functional channel (IIS4(N)), while replacement of the charged residues in IS4, IIIS4 and IVS4 segments resulted in nonfunctional channels. The IIS4(N) channel displayed activation kinetics similar to wild type. Mutations in a highly conserved structure motif on S6 segments ("GAGA ring": G432W in IS6, A780T in IIS6, G1193T in IIIS6 and A1503G in IVS6) induce strong left-shifted activation curves and decelerated channel deactivation kinetics. When IIS4(N) was combined with these mutations, the activation curves were shifted back towards wild type and current kinetics were accelerated. In contrast, 12 other mutations adjacent to the GAGA ring in IS6-IVS6, which also affect activation gating, were not rescued by IIS4(N). Thus, the rescue of gating distortions in segments IS6-IVS6 by IIS4(N) is highly position-specific. Thermodynamic cycle analysis supports the hypothesis that IIS4 is energetically coupled with the distantly located GAGA residues. We speculate that conformational changes caused by neutralisation of IIS4 are not restricted to domain II (IIS6) but are transmitted to gating structures in domains I, III and IV via the GAGA ring.

Unmasking materialistic depression as a mental health problem: its effect on depression and materialism in an African-United States undergraduate sample.

PubMed

Azibo, Daudi Ajani ya

2013-09-05

Misdiagnosis of African-U.S. persons is argued to be a built-in characteristic of Western-based assessment requiring augmentation with culture-focused input where possible. Regarding depression, materialistic depression is explained as an African-centered African-U.S. culture-focused construct of masked depression. Materialistic depression symptomatology is presented. Materialism orientation is postulated to necessarily be associated with materialistic depression. 144 undergraduates, 37 male (25.7%) and 107 female (74.3%), average age of 21 completed the Zung Self-rating Depression Scale, the depression subscale of the Symptom Checklist 90-R, the materialism subscale of the Cultural Misorientation Scale, and the Materialistic Depression Quiz. Contrasting high versus lower scoring MDQ groups on both depression scores produced reliable t-tests (p<.017). One-way ANOVA on materialism scores with high, medium, low MDQ groups was reliable (p<.017). The sample precluded generalization to clinically depressed and non-college African-U.S. populations. Using the Materialistic Depression Quiz, high scorers versus medium and low scorers had greater depression scores on two depression measures and greater materialism scores. Materialistic depression appears a masked form of depression not to be overlooked. Copyright © 2013 Elsevier B.V. All rights reserved.

Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform.

PubMed

Sun, Shuping; Jiang, Zhongwei; Wang, Haibin; Fang, Yu

2014-05-01

This paper proposes a novel automatic method for the moment segmentation and peak detection analysis of heart sound (HS) pattern, with special attention to the characteristics of the envelopes of HS and considering the properties of the Hilbert transform (HT). The moment segmentation and peak location are accomplished in two steps. First, by applying the Viola integral waveform method in the time domain, the envelope (E(T)) of the HS signal is obtained with an emphasis on the first heart sound (S1) and the second heart sound (S2). Then, based on the characteristics of the E(T) and the properties of the HT of the convex and concave functions, a novel method, the short-time modified Hilbert transform (STMHT), is proposed to automatically locate the moment segmentation and peak points for the HS by the zero crossing points of the STMHT. A fast algorithm for calculating the STMHT of E(T) can be expressed by multiplying the E(T) by an equivalent window (W(E)). According to the range of heart beats and based on the numerical experiments and the important parameters of the STMHT, a moving window width of N=1s is validated for locating the moment segmentation and peak points for HS. The proposed moment segmentation and peak location procedure method is validated by sounds from Michigan HS database and sounds from clinical heart diseases, such as a ventricular septal defect (VSD), an aortic septal defect (ASD), Tetralogy of Fallot (TOF), rheumatic heart disease (RHD), and so on. As a result, for the sounds where S2 can be separated from S1, the average accuracies achieved for the peak of S1 (AP₁), the peak of S2 (AP₂), the moment segmentation points from S1 to S2 (AT₁₂) and the cardiac cycle (ACC) are 98.53%, 98.31% and 98.36% and 97.37%, respectively. For the sounds where S1 cannot be separated from S2, the average accuracies achieved for the peak of S1 and S2 (AP₁₂) and the cardiac cycle ACC are 100% and 96.69%. Copyright © 2014 Elsevier Ireland Ltd. All

Benchmarking Insulin Treatment Persistence Among Patients with Type 2 Diabetes Across Different U.S. Payer Segments.

PubMed

Wei, Wenhui; Jiang, Jenny; Lou, Youbei; Ganguli, Sohini; Matusik, Mark S

2017-03-01

Treatment persistence with basal insulins is crucial to achieving sustained glycemic control, which is associated with a reduced risk of microvascular disease and other complications of type 2 diabetes (T2D). However, studies suggest that persistence with basal insulin treatment is often poor. To measure and benchmark real-world basal insulin treatment persistence among patients with T2D across different payer segments in the United States. This was a retrospective observational study of data from a national pharmacy database (Walgreen Co., Deerfield, IL). The analysis included patients with T2D aged ≥ 18 years who filled ≥ 1 prescription for basal insulins between January 2013 and June 2013 (the index prescription) and who had also filled prescriptions for ≥ 1 oral antidiabetes drug in the database. Patients with claims for premixed insulin were excluded. Treatment persistence was defined as remaining on the study medication(s) during the 1-year follow-up period. Patients were stratified according to treatment history (existing basal insulin users vs. new insulin users), payer segments (commercially insured, Medicare, Medicaid, or cash-pay), type of basal insulin (insulin glargine, insulin detemir, or neutral protamine Hagedorn insulin [NPH]), and device for insulin administration (pen or vial/syringe). A total of 274,102 patients were included in this analysis, 82% of whom were existing insulin users. In terms of payer segments, 45.3% of patients were commercially insured, 47.8% had Medicare, 5.9% had Medicaid, and 1.1% were cash-pay. At the 1-year follow-up, basal insulin treatment persistence rate was 66.8% overall, 61.7% for new users, and 67.9% for existing users. In general, for both existing and new basal insulin users, higher persistence rate and duration were associated with Medicare versus cash-pay patients, use of insulin pens versus vial/syringe, and use of insulin glargine versus NPH. This large-scale study provides a benchmark of basal insulin

Genetic and environmental influences on the transmission of parental depression to children’s depression and conduct disturbance: An extended Children of Twins study

PubMed Central

Silberg, Judy L.; Maes, Hermine; Eaves, Lindon J.

2010-01-01

Background Despite the increased risk of depression and conduct problems in children of depressed parents, the mechanism by which parental depression affects their children’s behavioral and emotional functioning is not well understood. The present study was undertaken to determine whether parental depression represents a genuine environmental risk factor in children’s psychopathology, or whether children’s depression/conduct can be explained as a secondary consequence of the genetic liability transmitted from parents to their offspring. Methods Children of Twins (COT) data collected on 2,674 adult female and male twins, their spouses, and 2,940 of their children were used to address whether genetic and/or family environmental factors best account for the association between depression in parents and depression and conduct problems in their children. Data collected on juvenile twins from the Virginia Twin Study of Adolescent Behavioral Development (VTSABD) were also included to estimate child-specific genetic and environmental influences apart from those effects arising from the transmission of the parental depression itself. The fit of alternative Children of Twin models were evaluated using the statistical program Mx. Results The most compelling model for the association between parental and juvenile depression was a model of direct environmental risk. Both family environmental and genetic factors accounted for the association between parental depression and child conduct disturbance. Conclusions These findings illustrate how a genetically mediated behavior such as parental depression can have both an environmental and genetic impact on children’s behavior. We find developmentally specific genetic factors underlying risk to juvenile and adult depression. A shared genetic liability influence both parental depression and juvenile conduct disturbance, implicating child CD as an early indicator of genetic risk for depression in adulthood. In summary, our

Parental depressive history, parenting styles, and child psychopathology over six years: The contribution of each parent’s depressive history to the other’s parenting styles

PubMed Central

Kopala-Sibley, Daniel C.; Jelinek, Caitlin; Kessel, Ellen; Frost, Allison; Allmann, Anna E.S.; Klein, Daniel N.

2017-01-01

The link between parental depressive history and parenting styles is well established, as is the association of parenting with child psychopathology. However, little research has examined whether a depressive history in one parent predicts the parenting style of the other parent. As well, relatively little research has tested transactional models of the parenting-child psychopathology relationship in the context of parents’ depressive histories. In this study, mothers and fathers of 392 children were assessed for a lifetime history of major depression when their children were 3 years old. They then completed measures of permissiveness and authoritarianism and their child’s internalizing and externalizing symptoms when children were 3, 6, and 9 years old. Results showed that a depressive history in one parent predicted the other parent’s permissiveness. Analyses then showed that child externalizing symptoms at age 3 predicted maternal permissiveness and authoritarianism and paternal permissiveness at age 6. Maternal permissiveness at age 6 predicted child externalizing symptoms at age 9. No relationships in either direction were found between parenting styles and child internalizing symptoms. Results highlight the importance of considering both parents’ depressive histories when understanding parenting styles, and support transactional models of parenting styles and child externalizing symptoms. PMID:28414019

Assessment of local pulse wave velocity distribution in mice using k-t BLAST PC-CMR with semi-automatic area segmentation.

PubMed

Herold, Volker; Herz, Stefan; Winter, Patrick; Gutjahr, Fabian Tobias; Andelovic, Kristina; Bauer, Wolfgang Rudolf; Jakob, Peter Michael

2017-10-16

Local aortic pulse wave velocity (PWV) is a measure for vascular stiffness and has a predictive value for cardiovascular events. Ultra high field CMR scanners allow the quantification of local PWV in mice, however these systems are yet unable to monitor the distribution of local elasticities. In the present study we provide a new accelerated method to quantify local aortic PWV in mice with phase-contrast cardiovascular magnetic resonance imaging (PC-CMR) at 17.6 T. Based on a k-t BLAST (Broad-use Linear Acquisition Speed-up Technique) undersampling scheme, total measurement time could be reduced by a factor of 6. The fast data acquisition enables to quantify the local PWV at several locations along the aortic blood vessel based on the evaluation of local temporal changes in blood flow and vessel cross sectional area. To speed up post processing and to eliminate operator bias, we introduce a new semi-automatic segmentation algorithm to quantify cross-sectional areas of the aortic vessel. The new methods were applied in 10 eight-month-old mice (4 C57BL/6J-mice and 6 ApoE (-/-) -mice) at 12 adjacent locations along the abdominal aorta. Accelerated data acquisition and semi-automatic post-processing delivered reliable measures for the local PWV, similiar to those obtained with full data sampling and manual segmentation. No statistically significant differences of the mean values could be detected for the different measurement approaches. Mean PWV values were elevated for the ApoE (-/-) -group compared to the C57BL/6J-group (3.5 ± 0.7 m/s vs. 2.2 ± 0.4 m/s, p < 0.01). A more heterogeneous PWV-distribution in the ApoE (-/-) -animals could be observed compared to the C57BL/6J-mice, representing the local character of lesion development in atherosclerosis. In the present work, we showed that k-t BLAST PC-MRI enables the measurement of the local PWV distribution in the mouse aorta. The semi-automatic segmentation method based on PC-CMR data allowed rapid determination of

S100B Serum Levels Predict Treatment Response in Patients with Melancholic Depression

PubMed Central

Bergink, Veerle; Grosse, Laura; Alferink, Judith; Drexhage, Hemmo A.; Rothermundt, Matthias; Arolt, Volker; Birkenhäger, Tom K.

2016-01-01

Background: There is an ongoing search for biomarkers in psychiatry, for example, as diagnostic tools or predictors of treatment response. The neurotrophic factor S100 calcium binding protein B (S100B) has been discussed as a possible predictor of antidepressant response in patients with major depression, but also as a possible biomarker of an acute depressive state. The aim of the present study was to study the association of serum S100B levels with antidepressant treatment response and depression severity in melancholically depressed inpatients. Methods: After a wash-out period of 1 week, 40 inpatients with melancholic depression were treated with either venlafaxine or imipramine. S100B levels and Hamilton Depression Rating Scale (HAM-D) scores were assessed at baseline, after 7 weeks of treatment, and after 6 months. Results: Patients with high S100B levels at baseline showed a markedly better treatment response defined as relative reduction in HAM-D scores than those with low baseline S100B levels after 7 weeks (P=.002) and 6 months (P=.003). In linear regression models, S100B was a significant predictor for treatment response at both time points. It is of interest to note that nonresponders were detected with a predictive value of 85% and a false negative rate of 7.5%. S100B levels were not associated with depression severity and did not change with clinical improvement. Conclusions: Low S100B levels predict nonresponse to venlafaxine and imipramine with high precision. Future studies have to show which treatments are effective in patients with low levels of S100B so that this biomarker will help to reduce patients’ burden of nonresponding to frequently used antidepressants. PMID:26364276

Effects of T'ai Chi on Serotonin, Nicotine Dependency, Depression, and Anger in Hospitalized Alcohol-Dependent Patients.

PubMed

Oh, Chung-Uk; Kim, Nam-Cho

2016-12-01

The aim of this study was to investigate the effects of t'ai chi on blood serotonin levels, nicotine dependence, depression, and anger in hospitalized alcohol-dependent patients. This study followed an experimental and nonequivalent control group in a non-synchronized design. It was performed in a hospital located in Young Ju city, Korea, from April to August 2013. Thirty-eight patients who were hospitalized with alcohol dependence were included. They were randomly divided into an experimental and a control group, with 19 patients in each group. Patients in the experimental group practiced the 24-posture yang style t'ai chi for 50 min three times per week for 8 weeks as part of the routine hospital rehabilitation program, and those in the control group followed only the routine hospital rehabilitation program. The effect of treatment was measured using blood serotonin levels and a questionnaire on nicotine dependence, depression, and anger. Both measurements were performed before and after 8 weeks of intervention. Data were analyzed using the t-test, chi-square test, and paired t-tests. The experimental group showed a significantly increased blood serotonin level (p = 0.001) and significantly reduced nicotine dependence, depression, and anger (p = 0.001) than the control group did after 8 weeks of treatment. T'ai chi was shown to be an effective nursing intervention in hospitalized alcohol-dependent patients.

Multiclass feature selection for improved pediatric brain tumor segmentation

NASA Astrophysics Data System (ADS)

Ahmed, Shaheen; Iftekharuddin, Khan M.

2012-03-01

In our previous work, we showed that fractal-based texture features are effective in detection, segmentation and classification of posterior-fossa (PF) pediatric brain tumor in multimodality MRI. We exploited an information theoretic approach such as Kullback-Leibler Divergence (KLD) for feature selection and ranking different texture features. We further incorporated the feature selection technique with segmentation method such as Expectation Maximization (EM) for segmentation of tumor T and non tumor (NT) tissues. In this work, we extend the two class KLD technique to multiclass for effectively selecting the best features for brain tumor (T), cyst (C) and non tumor (NT). We further obtain segmentation robustness for each tissue types by computing Bay's posterior probabilities and corresponding number of pixels for each tissue segments in MRI patient images. We evaluate improved tumor segmentation robustness using different similarity metric for 5 patients in T1, T2 and FLAIR modalities.

Frequency of exercise-induced ST-T-segment deviations and cardiac arrhythmias in recreational endurance athletes during a marathon race: results of the prospective observational Berlin Beat of Running study.

PubMed

Herm, Juliane; Töpper, Agnieszka; Wutzler, Alexander; Kunze, Claudia; Krüll, Matthias; Brechtel, Lars; Lock, Jürgen; Fiebach, Jochen B; Heuschmann, Peter U; Haverkamp, Wilhelm; Endres, Matthias; Jungehulsing, Gerhard Jan; Haeusler, Karl Georg

2017-08-03

While regular physical exercise has many health benefits, strenuous physical exercise may have a negative impact on cardiac function. The 'Berlin Beat of Running' study focused on feasibility and diagnostic value of continuous ECG monitoring in recreational endurance athletes during a marathon race. We hypothesised that cardiac arrhythmias and especially atrial fibrillation are frequently found in a cohort of recreational endurance athletes. The main secondary hypothesis was that pathological laboratory findings in these athletes are (in part) associated with cardiac arrhythmias. Prospective observational cohort study including healthy volunteers. One hundred and nine experienced marathon runners wore a portable ECG recorder during a marathon race in Berlin, Germany. Athletes underwent blood tests 2-3 days prior, directly after and 1-2 days after the race. Overall, 108 athletes (median 48 years (IQR 45-53), 24% women) completed the marathon in 249±43 min. Blinded ECG analysis revealed abnormal findings during the marathon in 18 (16.8%) athletes. Ten (9.3%) athletes had at least one episode of non-sustained ventricular tachycardia, one of whom had atrial fibrillation; eight (7.5%) individuals showed transient ST-T-segment deviations. Abnormal ECG findings were associated with advanced age (OR 1.11 per year, 95% CI 1.01 to 1.23), while sex and cardiovascular risk profile had no impact. Directly after the race, high-sensitive troponin T was elevated in 18 (16.7%) athletes and associated with ST-T-segment deviation (OR 9.9, 95% CI 1.9 to 51.5), while age, sex and cardiovascular risk profile had no impact. ECG monitoring during a marathon is feasible. Abnormal ECG findings were present in every sixth athlete. Exercise-induced transient ST-T-segment deviations were associated with elevated high-sensitive troponin T (hsTnT) values. ClinicalTrials.gov NCT01428778; Results. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article

Social, behavioral, and sleep characteristics associated with depression symptoms among undergraduate students at a women’s college: a cross-sectional depression survey, 2012

PubMed Central

2014-01-01

Background The association between student characteristics and depression among students attending women’s colleges (single-sex institutions of higher education that exclude or limit males from admission) is poorly understood. Our objective was to estimate the prevalence of depression and determine behavioral and social characteristics associated with depression among students attending a women’s college. Methods We administered a cross-sectional Internet-based survey between April and May 2012 to students (n = 277) enrolled at a private women’s college in the southeastern US. Center for Epidemiologic Studies Depression (CES-D) and Depression Anxiety Stress Scale 21 (DASS-21) instruments measured self-reported depression. Bivariate and multivariable logistic regression methods were used to estimate adjusted associations. Results Prevalence of depression measured by CES-D and DASS-21 instruments was 26.3% (95% confidence interval [CI] 20.8-32.3%) and 26.0% (95% CI 20.4-32.3%), respectively. After adjusting for confounders, absence of strong social support (prevalence odds ratio [OR] = 4.3, 95% CI 1.4-13.7), history of mental health disorder (OR = 4.8 95% CI 1.9-12.4), and poor sleep hygiene (OR = 2.8, 95% CI 1.3-5.8) were associated with depression. Conclusions This cross-sectional survey identified absence of strong social support, history of mental health disorder, and poor sleep hygiene as potential predictors of depression among students attending a women’s college. Further investigation of these factors may inform depression interventions for students attending women’s colleges and other undergraduate student populations. PMID:24410897

Depression, anxiety disorders, and metabolic syndrome in a population at risk for type 2 diabetes mellitus.

PubMed

Kahl, Kai G; Schweiger, Ulrich; Correll, Christoph; Müller, Conrad; Busch, Marie-Luise; Bauer, Michael; Schwarz, Peter

2015-03-01

Depressive symptoms have been associated with type 2 diabetes mellitus (T2DM), but less is known about anxiety disorders that can be comorbid or exist without depression. We evaluated the prevalence of psychiatric disorders in subjects consecutively examined at an outpatient clinic for diabetes prevention who were at-risk for T2DM, defined by FINDRISK scores, and compared metabolic syndrome (MetS) frequencies between subjects with and without psychiatric morbidity, entering also relevant variables for MetS into multivariate analyses. All subjects underwent an oral glucose tolerance test (OGTT). Psychiatric diagnosis was confirmed using a Structured Clinical Interview for DSM-IV. Of 260 consecutively screened subjects, 150 (56.9±8.1 years old, males=56.7%, BMI=27.2±4.1 kg/m2) were at-risk for T2DM and were included. MetS, present in 27% of males and 25% of females, was significantly associated with having a current anxiety disorder (P<0.001) and lifetime major depression (P<0.001). In logistic regression analysis, MetS was significantly associated with lifetime major depression, presence of any anxiety disorder, body weight, and physical activity. Our data in a high-risk group for T2DM support the association between depressive disorders and MetS, pointing to a similar role of anxiety disorders. Screening for anxiety and depression is recommended in this group at risk for T2DM.

Crimpable double tubes for segmental retraction.

PubMed

Martins, Renato Parsekian; Gandini, Luiz Gonzaga; Martins, Isabela Parsekian; Martins, Lidia Parsekian

2011-01-01

When a T-loop is used in segmental mechanics, it is generally attached posteriorly to an auxiliary tube in the first molars and anteriorly to a crimpable cross tube or a Burstone canine bracket. This article illustrates the use of a crimpable tube with a 90-degree bend on the base wire to secure a T-loop in segmental retraction. Both of these approaches allow a T-loop to be reactivated in a simple manner without undesirable changes in the system of forces, which could happen if the T-loop is skewed posteriorly.

Maternal Depression and Early Intervention: A Call for an Integration of Services

ERIC Educational Resources Information Center

Alvarez, Shanna L.; Meltzer-Brody, Samantha; Mandel, Marcia; Beeber, Linda

2015-01-01

Depression is a serious disorder with severe and far-reaching consequences. Two decades of observational research have shown robust associations between maternal depression and adverse consequences on offspring (S. Campbell et al., 2004; S. Campbell, P. Matestic, C. von Stauffenberg, R. Mohan, & T. Kirchner, 2007; S. Campbell, A. Morgan-Lopez,…

Overview of T.E.S.T. (Toxicity Estimation Software Tool)

EPA Science Inventory

This talk provides an overview of T.E.S.T. (Toxicity Estimation Software Tool). T.E.S.T. predicts toxicity values and physical properties using a variety of different QSAR (quantitative structure activity relationship) approaches including hierarchical clustering, group contribut...

Physical exercise counteracts genetic susceptibility to depression.

PubMed

Haslacher, Helmuth; Michlmayr, Matthias; Batmyagmar, Delgerdalai; Perkmann, Thomas; Ponocny-Seliger, Elisabeth; Scheichenberger, Vanessa; Pilger, Alexander; Dal-Bianco, Peter; Lehrner, Johann; Pezawas, Lukas; Wagner, Oswald; Winker, Robert

2015-01-01

Depression is a highly prevalent disorder in elderly individuals. A genetic variant (rs6265) of the brain-derived neurotrophic factor (BDNF) impacting on emotion processing is known to increase the risk for depression. We aim to investigate whether intensive endurance sports might attenuate this genetic susceptibility in a cohort of elderly marathon athletes. Fifty-five athletes and 58 controls were included. rs6265 of the BDNF gene was genotyped by the TaqMan method. Depressive symptoms were assessed by standardized self-rating tests (BDI = Beck Depression Inventory, GDS = Geriatric Depression Scale). In multivariable analysis of BDI and GDS scores, the interaction between group (athletes vs. controls) and genotypes ([C];[C] vs. [C];[T] + [T];[T]) was found to be statistically significant (BDI: p = 0.027, GDS: p = 0.013). Among [C];[C] carriers, merely controls had an increased relative risk of 3.537 (95% CI = 1.276-9.802) of achieving a subclinical depression score ≥10 on the BDI. There was no such effect in carriers of the [T] allele. In a multivariable binary logistic regression, genetic information, group (athletes/controls), but no information on rs6265 allele carrier status presented as a significant predictor of BDI scores ≥10. Physical exercise positively affects BDNF effects on mood. Since 66Met BDNF secretion is impaired, this effect seems to be much stronger in [C];[C] homozygous individuals expressing the 66Val variant. This confirms that genetic susceptibility to depressive symptoms can indeed be influenced by endurance sports in elderly people. © 2015 S. Karger AG, Basel.

Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly

NASA Astrophysics Data System (ADS)

Huo, Yuankai; Liu, Jiaqi; Xu, Zhoubing; Harrigan, Robert L.; Assad, Albert; Abramson, Richard G.; Landman, Bennett A.

2017-02-01

Non-invasive spleen volume estimation is essential in detecting splenomegaly. Magnetic resonance imaging (MRI) has been used to facilitate splenomegaly diagnosis in vivo. However, achieving accurate spleen volume estimation from MR images is challenging given the great inter-subject variance of human abdomens and wide variety of clinical images/modalities. Multi-atlas segmentation has been shown to be a promising approach to handle heterogeneous data and difficult anatomical scenarios. In this paper, we propose to use multi-atlas segmentation frameworks for MRI spleen segmentation for splenomegaly. To the best of our knowledge, this is the first work that integrates multi-atlas segmentation for splenomegaly as seen on MRI. To address the particular concerns of spleen MRI, automated and novel semi-automated atlas selection approaches are introduced. The automated approach interactively selects a subset of atlases using selective and iterative method for performance level estimation (SIMPLE) approach. To further control the outliers, semi-automated craniocaudal length based SIMPLE atlas selection (L-SIMPLE) is proposed to introduce a spatial prior in a fashion to guide the iterative atlas selection. A dataset from a clinical trial containing 55 MRI volumes (28 T1 weighted and 27 T2 weighted) was used to evaluate different methods. Both automated and semi-automated methods achieved median DSC > 0.9. The outliers were alleviated by the L-SIMPLE (≍1 min manual efforts per scan), which achieved 0.9713 Pearson correlation compared with the manual segmentation. The results demonstrated that the multi-atlas segmentation is able to achieve accurate spleen segmentation from the multi-contrast splenomegaly MRI scans.

Multi-atlas Segmentation Enables Robust Multi-contrast MRI Spleen Segmentation for Splenomegaly.

PubMed

Huo, Yuankai; Liu, Jiaqi; Xu, Zhoubing; Harrigan, Robert L; Assad, Albert; Abramson, Richard G; Landman, Bennett A

2017-02-11

Non-invasive spleen volume estimation is essential in detecting splenomegaly. Magnetic resonance imaging (MRI) has been used to facilitate splenomegaly diagnosis in vivo. However, achieving accurate spleen volume estimation from MR images is challenging given the great inter-subject variance of human abdomens and wide variety of clinical images/modalities. Multi-atlas segmentation has been shown to be a promising approach to handle heterogeneous data and difficult anatomical scenarios. In this paper, we propose to use multi-atlas segmentation frameworks for MRI spleen segmentation for splenomegaly. To the best of our knowledge, this is the first work that integrates multi-atlas segmentation for splenomegaly as seen on MRI. To address the particular concerns of spleen MRI, automated and novel semi-automated atlas selection approaches are introduced. The automated approach interactively selects a subset of atlases using selective and iterative method for performance level estimation (SIMPLE) approach. To further control the outliers, semi-automated craniocaudal length based SIMPLE atlas selection (L-SIMPLE) is proposed to introduce a spatial prior in a fashion to guide the iterative atlas selection. A dataset from a clinical trial containing 55 MRI volumes (28 T1 weighted and 27 T2 weighted) was used to evaluate different methods. Both automated and semi-automated methods achieved median DSC > 0.9. The outliers were alleviated by the L-SIMPLE (≈1 min manual efforts per scan), which achieved 0.9713 Pearson correlation compared with the manual segmentation. The results demonstrated that the multi-atlas segmentation is able to achieve accurate spleen segmentation from the multi-contrast splenomegaly MRI scans.

Serotonergic genes and depressive disorder in acute coronary syndrome: The Korean depression in ACS (K-DEPACS) study.

PubMed

Kim, Jae-Min; Stewart, Robert; Kang, Hee-Ju; Bae, Kyung-Yeol; Kim, Sung-Wan; Shin, Il-Seon; Hong, Young Joon; Ahn, Youngkeun; Jeong, Myung Ho; Park, Sung-Woo; Kim, Young-Hoon; Yoon, Jin-Sang

2015-06-01

Genes coding for the serotonergic pathway have been associated with depressive disorders. However, these associations have rarely been tested in acute coronary syndrome (ACS) patients vulnerable to depression. This study aimed to investigate whether polymorphisms of serotonin transporter (5-HTT) and serotonin 2a receptor (5-HTR2a) genes are associated with occurrence of depressive disorder in ACS. 969 patients with recently developed ACS were recruited at baseline, and 711 were followed 1 year thereafter. Depressive disorder was diagnosed according to DSM-IV criteria, and analysed as an outcome at baseline (prevalence), and follow up (incidence and persistence). Genotypes were ascertained for 5-HTTLPR, STin2 VNTR, 5-HTR2a 102T/C, and 5-HTR2a 1438A/G. Logistic regression models were used to investigate associations. The 5-HTTLPR s/s genotype was independently associated with depressive disorder prevalence and persistence following ACS, but no significant associations were found with the other polymorphisms. ACS patients with the 5-HTTLPR s allele are thus potentially susceptible to depressive disorder in the early phase after ACS, and with its persistence over the subsequent year. Copyright © 2015 Elsevier B.V. and ECNP. All rights reserved.

Transcranial Direct Current Stimulation (tDCS): A Promising Treatment for Major Depressive Disorder?

PubMed Central

Bennabi, Djamila; Haffen, Emmanuel

2018-01-01

Background: Transcranial direct current stimulation (tDCS) opens new perspectives in the treatment of major depressive disorder (MDD), because of its ability to modulate cortical excitability and induce long-lasting effects. The aim of this review is to summarize the current status of knowledge regarding tDCS application in MDD. Methods: In this review, we searched for articles published in PubMed/MEDLINE from the earliest available date to February 2018 that explored clinical and cognitive effects of tDCS in MDD. Results: Despite differences in design and stimulation parameters, the examined studies indicated beneficial effects of tDCS for MDD. These preliminary results, the non-invasiveness of tDCS, and its good tolerability support the need for further research on this technique. Conclusions: tDCS constitutes a promising therapeutic alternative for patients with MDD, but its place in the therapeutic armamentarium remains to be determined. PMID:29734768

T9 versus T10 as the upper instrumented vertebra for correction of adult deformity-rationale and recommendations.

PubMed

Hey, Hwee Weng Dennis; Tan, Kimberly-Anne; Neo, Christabel Shao-En; Lau, Eugene Tze-Chun; Choong, Denise Ai-Wen; Lau, Leok-Lim; Liu, Gabriel Ka-Po; Wong, Hee-Kit

2017-05-01

Adult spinal deformity correction sometimes involves long posterior pedicle screw constructs extending from the lumbosacral spine to the thoracic vertebra. As fusion obliterates motion and places supraphysiological stress on adjacent spinal segments, it is crucial to ascertain the ideal upper instrumented vertebra (UIV) to minimize risk of proximal junctional failure (PJF). The T10 vertebra is often chosen to allow bridging of the thoracolumbar junction into the immobile thoracic vertebrae on the basis that it is the lowest immobile thoracic vertebra strut by the rib cage. This study aimed to characterize the range of motion (ROM) of each vertebral segment from T7 to S1 to determine if T10 is truly the lowest immobile thoracic vertebra. This is a prospective, comparative study. Seventy-nine adults (mean age of 45.4 years) presenting with low back pain or lower limb radiculopathy or both, without previous spinal intervention, metastases, fractures, infection, or congenital deformities of the spine, were included in the study. A ROM >5° across two vertebral segments as determined by the Cobb method from radiographs. Lumbar flexion-extension and neutral erect radiographs were obtained in randomized order using a slot scanner. Segmental ROM was measured from T7-T8 to L5-S1 and analyzed for significant differences using t tests. Age, gender, radiographical indices such as standard spinopelvic parameters, sagittal vertical axis (SVA), C7-T12 SVA, T1 slope, thoracic kyphosis (TK), and lumbar lordosis (LL) were studied via multivariate analysis to identify predictive factors for >5° change in ROM at the various segmental levels. There were no sources of funding and no conflicts of interest associated with this study. In the thoracolumbar spine, significant decreases in ROM when compared with the adjacent caudad segment occurs up to T9-T10, with mean total ROM of 1.98±1.47° (p<.001) seen in T9-T10, 2.19±1.67° (p<.001) in T10-T11, and 3.92±3.21°(p<.001) in T11-T12

Empathic Responses to Mother’s Emotions Predict Internalizing Problems in Children of Depressed Mothers

PubMed Central

Tully, Erin C.; Donohue, Meghan Rose

2016-01-01

Recent theories posit that empathy, typically an adaptive characteristic, may be associated with internalizing problems when children are chronically exposed to mother’s depression. We tested this postulation in a sample of children (N=82, Mage=5 years). Children witnessed their mothers express sadness, anger, and happiness during a simulated phone conversation, and researchers rated children’s negative affective empathy, positive affective empathy, and information-seeking (cognitive empathy) in response to their mother’s emotions. The chronicity of mother's depression during the child’s lifetime moderated associations between children’s empathy and internalizing problems. As predicted, all three empathy measures were related to greater mother-rated internalizing problems in children of chronically (i.e., 2–3 years) depressed mothers. Greater positive empathy was related to lower internalizing problems in children of nondepressed mothers. Positive empathy may contribute to adaptive processes when mothers are not depressed, and positive, negative, and cognitive empathy may contribute to maladaptive processes when mothers are chronically depressed. PMID:27262565

North-South S and T gap

DOE Office of Scientific and Technical Information (OSTI.GOV)

Moghadam, A.A.

1985-01-01

The objectives of this study were (1) to demonstrate the existence of the science and technology (S and T) gap between developed countries (DCs) or the north, and less developed countries (LDCs) or the south; (2) to test the hypothesis that there exists a critical mass with respect to population, gross domestic product (GDP), per capita income, and literacy rate below which S and T development is insignificant; and (3) to recommend possible remedial actions for reducing this gap. The research comprises a thorough review of the existing literature, and an extensive analysis of 1976-78 and 1980-82 statistics for 66more » countries, presenting a global picture of the S and T gap in the free world. A comprehensive account was given of the S and T status for Britain, Germany, United States, Japan, Brazil, Mexico, South Korea, Hong Kong, Singapore, Taiwan, Egypt, and Nigeria. A plot of S and T indicators versus independent variables for the 66 counties clearly indicated the existence of the North-South S and T gap. The test of the critical hypothesis, using t distribution, revealed that population size does not have a significant impact on the development or deployment of S and T. This test with respect to GDP indicated that greater GDPs would facilitate the progress of S and T. The results for per capita income were similar. Adequate infrastructure had the greatest impact on absorption, deployment, and maintenance of S and T for development. It was also indicated that with literacy rates below 40% no significant S and T activity can be expected.« less

[Changes in P-wave, T-wave, and ST segment amplitude in 12 lead electrocardiogram in children with breath holding spell].

PubMed

Zhang, Wenhua; Wang, Cheng; Zou, Runmei; Liu, Liping; Wu, Lijia; Luo, Xuemei; Li, Fang; Liao, Donglei; Cai, Hong

2016-06-28

To explore the change of the amplitude of P wave, T wave and ST segment of 12 lead electrocardiogram (ECG) in children with breath holding spell.
 A total of 29 children (24 males and 5 females) with breath holding spell in Second Xiangya Hospital, Central South University were enrolled for this study from October, 2009 to September, 2015. Their ages ranged from 3 months to 6 years, with an average of 1.82±1.27 years old. The control group consisted of 30 age-matched and gender-matched healthy children. All subjects were underwent electrocardiography by the SR-1000A comprehensive automatic electrocardiograph analyzer, and the changes of the ECG parameters were compared between the two groups.
 Compared with the control group, the amplitude of P-wave of V5 lead was decreased [(44.10±23.98) vs (58.30±21.19) μV, P<0.05], the amplitude of T-wave of V6 lead was increased [(423.80±122.6) vs (350.00±105.73) μV, P<0.05], the amplitude of ST segment of II lead was increased [(84.80±39.97) vs (57.30±38.77) μV, P<0.05], the amplitude of ST segment of aVR lead was increased [(-77.60±37.41) vs (-51.00±33.46) μV, P<0.05], the amplitude of ST segment of aVL lead was increased [(35.20±28.24) vs (17.70±33.90) μV, P<0.05], the amplitude of ST segment of V5 lead was increased [(111.00±59.36) vs (69.00±36.33) μV, P<0.05], the amplitude of ST segment of V6 lead was increased [(79.30±45.51) vs (51.30±33.19) μV, P<0.05]. 
 The children with breath holding spell have autonomic nerve dysfunction. The amplitude of ST segment changes is sensitive.

3D segmentation of annulus fibrosus and nucleus pulposus from T2-weighted magnetic resonance images

NASA Astrophysics Data System (ADS)

Castro-Mateos, Isaac; Pozo, Jose M.; Eltes, Peter E.; Del Rio, Luis; Lazary, Aron; Frangi, Alejandro F.

2014-12-01

Computational medicine aims at employing personalised computational models in diagnosis and treatment planning. The use of such models to help physicians in finding the best treatment for low back pain (LBP) is becoming popular. One of the challenges of creating such models is to derive patient-specific anatomical and tissue models of the lumbar intervertebral discs (IVDs), as a prior step. This article presents a segmentation scheme that obtains accurate results irrespective of the degree of IVD degeneration, including pathological discs with protrusion or herniation. The segmentation algorithm, employing a novel feature selector, iteratively deforms an initial shape, which is projected into a statistical shape model space at first and then, into a B-Spline space to improve accuracy. The method was tested on a MR dataset of 59 patients suffering from LBP. The images follow a standard T2-weighted protocol in coronal and sagittal acquisitions. These two image volumes were fused in order to overcome large inter-slice spacing. The agreement between expert-delineated structures, used here as gold-standard, and our automatic segmentation was evaluated using Dice Similarity Index and surface-to-surface distances, obtaining a mean error of 0.68 mm in the annulus segmentation and 1.88 mm in the nucleus, which are the best results with respect to the image resolution in the current literature.

Disability and comorbidity among major depressive disorder and double depression in African-American adults.

PubMed

Torres, Elisa R

2013-09-25

Few studies have examined differences in disability and comorbity among major depressive disorder (MDD), dysthymia, and double depression in African-Americans (AA). A secondary analysis was performed on AA in the National Survey of American Life. Interviews occurred 2001-2003. A four stage national area probability sampling was performed. DSM-IV-TR diagnoses were obtained with a modified version of the World Health Organization's expanded version of the Composite International Diagnostic Interview. Disability was measured by interview with the World Health Organization's Disability Assessment Schedule II. Compared to non-depressed AA, AA endorsing MDD (t=19.0, p=0.0001) and double depression (t=18.7, p=0.0001) reported more global disability; AA endorsing MDD (t=8.5, p=0.0063) reported more disability in the getting around domain; AA endorsing MDD (t=19.1, p=0.0001) and double depression (t=12.1, p=0.0014) reported more disability in the life activities domain. AA who endorsed double depression reported similar disability and comorbidities with AA who endorsed MDD. Few AA endorsed dysthymia. This was a cross-sectional study subject to recall bias. The NSAL did not measure minor depression. The current study supports the idea of deleting distinct chronic subtypes of depression and consolidating them into a single category termed chronic depression. © 2013 Elsevier B.V. All rights reserved.

Depression in type 1 diabetes was associated with high levels of circulating galectin-3

PubMed Central

Melin, Eva Olga; Dereke, Jonatan; Thunander, Maria; Hillman, Magnus

2018-01-01

Objective Neuroinflammatory responses are implicated in depression. The aim was to explore whether depression in patients with type 1 diabetes (T1D) was associated with high circulating galectin-3, controlling for metabolic variables, s-creatinine, life style factors, medication and cardiovascular complications. Design Cross-sectional. Methods Participants were T1D patients (n = 283, 56% men, age 18–59 years, diabetes duration ≥1 year). Depression was assessed by Hospital Anxiety and Depression Scale-depression subscale. Blood samples, anthropometrics and blood pressure were collected, and supplemented with data from medical records and the Swedish National Diabetes Registry. Galectin-3 ≥2.562 µg/l, corresponding to the 85th percentile, was defined as high galectin-3. Results Median (quartile1, quartile3) galectin-3 (µg/l) was 1.3 (0.8, 2.9) for the 30 depressed patients, and 0.9 (0.5, 1.6) for the 253 non-depressed, P = 0.009. Depression was associated with high galectin-3 in all the 283 patients (adjusted odds ratio (AOR) 3.5), in the 161 men (AOR 3.4), and in the 122 women (AOR 3.9). HbA1c, s-lipids, s-creatinine, blood pressure, obesity, smoking, physical inactivity, cardiovascular complications and drugs (antihypertensive, lipid lowering, oral antidiabetic drugs and antidepressants) were not associated with high galectin-3. Conclusions This is the first study to show an association between depression and galectin-3. Depression was the only explored parameter associated with high circulating galectin-3 levels in 283 T1D patients. High galectin-3 levels might contribute to the increased risk for Alzheimer’s disease, cardiovascular and all-cause mortality observed in persons with depression. Potentially, in the future, treatment targeting galactin-3 might improve the prognosis for patients with high galectin-3 levels. PMID:29760188

The combination of triiodothyronine (T3) and sertraline is not superior to sertraline monotherapy in the treatment of major depressive disorder☆

PubMed Central

Garlow, Steven J.; Dunlop, Boadie W.; Ninan, Philip T.; Nemeroff, Charles B.

2013-01-01

Objective To determine whether the combination of triiodothyronine (T3) plus sertraline at treatment initiation confers greater antidepressant efficacy than sertraline plus placebo in patients with major depressive disorder. Method Eight-week, double blind, randomized placebo controlled clinical trial of 153 adult outpatients between 18 and 60 years of age, with DSM-IV defined major depressive disorder. Patients were treated with sertraline flexibly adjusted for tolerability and in a double blind fashion with placebo or T3 (25 μg/day in week 1 and increasing to 50 μg/day in week 2). Response was defined categorically as 50% reduction and total score less than 15 in 21-item Hamilton Rating Scale for Depression (HRSD-21) at week 8 and remission as HRSD-21 less than 8. Results There was no difference between treatment groups at final assessment; 65% of placebo and 61.8% of T3 treated subjects achieved response and 50.6% of placebo and 40.8% of T3 treated patients achieved remission. The mean daily dose at final assessment of sertraline and T3, respectively was 144.7 mg (±48.7 mg) and 48.2 μg (±7 μg). Median time to response did not differ between treatment groups. Baseline thyroid function tests did not predict response to sertraline treatment or T3 augmentation. Conclusions These results do not support the routine use of T3 to enhance or accelerate onset of antidepressant response in patients with major depressive disorder. PMID:22964160

Socioeconomic Disparities in Smoking Among U.S. Adults With Depression, 2005-2014.

PubMed

Weinberger, Andrea H; Bandiera, Frank C; Leventhal, Adam M; Dierker, Lisa C; Gbedemah, Misato; Tidey, Jennifer W; Goodwin, Renee D

2018-06-01

The purpose of this study is to estimate changes in the cigarette smoking prevalence among U.S. adults with and without depression from 2005 to 2014 by income and education level and overall. This study examined data from adult respondents (aged ≥18 years) in the National Survey on Drug Use and Health, an annual cross-sectional study of U.S. individuals. Data from the years 2005 to 2014 were analyzed for a total analytic sample of n=378,733. The prevalence of past-month cigarette smoking was examined annually from 2005 to 2014 among adults with and without past-year major depression, overall and by income/education, using linear trend analyses. Data analysis occurred in 2017. The prevalence of smoking declined significantly from 2005 to 2014 among those with depression (37.62% to 34.01%; p<0.001) and without depression (23.99% to 19.87%; p<0.001). Yet, smoking remained nearly twice as common among those with depression during this period. Among adults with depression in the lowest income and education groups, the prevalence of smoking was more than double the prevalence of smoking among adults with depression in the highest income and education groups. Disparities in smoking prevalence are pronounced when depression and SES are considered simultaneously. Targeted public health and clinical efforts to reduce smoking among adult smokers of lower SES with depression are needed. Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Diabetes-Related Distress, Depression and Distress-Depression among Adults with Type 2 Diabetes Mellitus in Malaysia

PubMed Central

Chew, Boon-How; Vos, Rimke; Mohd-Sidik, Sherina; Rutten, Guy E. H. M.

2016-01-01

Type 2 diabetes mellitus (T2DM) brings about an increasing psychosocial problem in adult patients. Prevalence data on and associated factors of diabetes related distress (DRD) and depression have been lacking in Asia. This study aimed to examine the prevalence of DRD and depression, and their associated factors in Asian adult T2DM patients. This study was conducted in three public health clinics measuring DRD (Diabetes Distress Scale, DDS), and depression (Patient Health Questionnaire, PHQ). Patients who were at least 30 years of age, had T2DM for more than one year, with regular follow-up and recent laboratory results (< 3 months) were consecutively recruited. Associations between DRD, depression and the combination DRD-depression with demographic and clinical characteristics were analysed using generalized linear models. From 752 invited people, 700 participated (mean age 56.9 years, 52.8% female, 52.9% Malay, 79.1% married). Prevalence of DRD and depression were 49.2% and 41.7%, respectively. Distress and depression were correlated, spearman’s r = 0.50. Patients with higher DRD were younger (OR 0.995, 95% CI 0.996 to 0.991), Chinese (OR 1.2, 95% CI 1.04 to 1.29), attending Dengkil health clinic (OR 1.1, 95% CI 1.00 to 1.22) and had higher scores on the PHQ (OR 1.1, 95% CI 1.04 to 1.06). Depression was less likely in the unmarried compared to divorced/separately living and those attending Dengkil health clinic, but more likely in patients with microvascular complications (OR 1.4, 95% CI 1.06 to 1.73) and higher DDS (OR 1.03, 95% CI 1.02 to 1.03). For the combination of DRD and depression, unemployment (OR 4.7, 95% CI 1.02 to 21.20) had positive association, whereas those under medical care at the Salak health clinics (OR 0.28, 95% CI 0.12 to 0.63), and those with a blood pressure > 130/80 mmHg (OR 0.53, 95% CI 0.32 to 0.89) were less likely to experience both DRD and depression. DRD and depression were common and correlated in Asian adults with T2DM at primary

The Effects of Parental Depressive Symptoms, Appraisals, and Physical Punishment on Later Child Externalizing Behavior

PubMed Central

Callender, Kevin A.; Olson, Sheryl L.; Choe, Daniel E.; Sameroff, Arnold J.

2014-01-01

Examined a cognitive-behavioral pathway by which depressive symptoms in mothers and fathers increase risk for later child externalizing problem behavior via parents’ appraisals of child behavior and physical discipline. Participants were 245 children (118 girls) at risk for school-age conduct problems, and their parents and teachers. Children were approximately 3 years old at Time 1 (T1) and 5 ½ years old at Time 2 (T2). At T1, mothers and fathers reported their depressive symptoms, perceptions of their child’s reciprocal affection and responsiveness, frequency of physical punishment, and child externalizing problems. Mothers, fathers, and teachers provided ratings of externalizing behavior at T2. Structural equation modeling revealed that parents’ negative attributions mediated positive relations between their depressive symptoms and frequency of physical punishment for both fathers and mothers. More frequent physical punishment, in turn, predicted increased child externalizing behavior at T2. In future research, transactional mechanisms underlying effects of clinical depression on child conduct problems should be explored at multiple stages of development. For parents showing depressive symptoms, restructuring distorted perceptions about their children’s behavior may be an important component of intervention programs. PMID:21947616

Comparison of the QRS Complex, ST-Segment, and T-Wave Among Patients with Left Bundle Branch Block with and without Acute Myocardial Infarction.

PubMed

Dodd, Kenneth W; Elm, Kendra D; Smith, Stephen W

2016-07-01

The modified Sgarbossa criteria have been validated as a rule for diagnosis of acute coronary occlusion (ACO) in left bundle branch block (LBBB). However, no analysis has been done on differences in the QRS complex, T-wave, or ST-segment concordance of < 1 mm in the derivation or validation studies. Furthermore, there was no comparison of patients with acute myocardial infarction (AMI) but without ACO (i.e., non-ST-elevation myocardial infarction [non-STEMI]) to patients with ACO or without AMI (no MI). We compare findings involving the QRS amplitude, ST-segment morphology, ST-concordance < 1 mm, and T-waves in patients with LBBB with ACO, non-STEMI, and no MI. Retrospectively, emergency department patients were identified with LBBB and ischemic symptoms but no MI, with angiographically proven ACO, and with non-STEMI. ACO, non-STEMI, and no MI groups consisted of 33, 24, and 105 patients. The sum of the maximum deflection of the QRS amplitude across all leads (ΣQRS) was smaller in patients with ACO than those without ACO (101.5 mm vs. 132.5 mm; p < 0.0001) and a cutoff of ΣQRS < 90 mm was 92% specific. For ACO, non-concave ST-segment morphology was 91% specific, any ST concordance ≥ 1 mm was 95% specific, and any ST concordance ≥ 0.5 mm was 94% sensitive. For non-STEMI, terminal T-wave concordance, analogous to biphasic T-waves, was moderately sensitive at 79%. We found differences in QRS amplitude, ST-segment morphology, and T-waves between patients with LBBB and ACO, non-STEMI, and no MI. However, none of these criteria outperformed the modified Sgarbossa criteria for diagnosis of ACO in LBBB. Copyright © 2016 Elsevier Inc. All rights reserved.

Prospective Relations between Parental Depression, Negative Expressiveness, Emotional Insecurity, and Children’s Internalizing Symptoms

PubMed Central

Cummings, E. Mark; Cheung, Rebecca Y. M.; Davies, Patrick T.

2013-01-01

Building on the conceptual framework of emotional security theory (EST) [1], this study longitudinally examined multiple factors linking parental depressive symptoms and child internalizing symptoms. Participants were 235 children (106 boys, 129 girls) and their cohabiting parents. Assessments included mothers’ and fathers’ depressive symptoms when children were in kindergarten, parents’ negative expressiveness when children were in first grade, children’s emotional insecurity one year later, and children’s internalizing symptoms in kindergarten and second grade. Findings revealed both mothers’ and fathers’ depressive symptoms were related to changes in children’s internalizing symptoms as a function of parents’ negative emotional expressiveness and children’s emotional insecurity. In addition to these similar pathways, distinctive pathways as a function of parental gender were identified. Contributions are considered for understanding relations between parental depressive symptoms and children’s development. PMID:23371814

Why segmentation matters: experience-driven segmentation errors impair “morpheme” learning

PubMed Central

Finn, Amy S.; Hudson Kam, Carla L.

2015-01-01

We ask whether an adult learner’s knowledge of their native language impedes statistical learning in a new language beyond just word segmentation (as previously shown). In particular, we examine the impact of native-language word-form phonotactics on learners’ ability to segment words into their component morphemes and learn phonologically triggered variation of morphemes. We find that learning is impaired when words and component morphemes are structured to conflict with a learner’s native-language phonotactic system, but not when native-language phonotactics do not conflict with morpheme boundaries in the artificial language. A learner’s native-language knowledge can therefore have a cascading impact affecting word segmentation and the morphological variation that relies upon proper segmentation. These results show that getting word segmentation right early in learning is deeply important for learning other aspects of language, even those (morphology) that are known to pose a great difficulty for adult language learners. PMID:25730305

An Analysis of Image Segmentation Time in Beam’s-Eye-View Treatment Planning

DOE Office of Scientific and Technical Information (OSTI.GOV)

Li, Chun; Spelbring, D.R.; Chen, George T.Y.

In this work we tabulate and histogram the image segmentation time for beam’s eye view (BEV) treatment planning in our center. The average time needed to generate contours on CT images delineating normal structures and treatment target volumes is calculated using a data base containing over 500 patients’ BEV plans. The average number of contours and total image segmentation time needed for BEV plans in three common treatment sites, namely, head/neck, lung/chest, and prostate, were estimated.

Salience Network and Depressive Severities in Parkinson’s Disease with Mild Cognitive Impairment: A Structural Covariance Network Analysis

PubMed Central

Chang, Ya-Ting; Lu, Cheng-Hsien; Wu, Ming-Kung; Hsu, Shih-Wei; Huang, Chi-Wei; Chang, Wen-Neng; Lien, Chia-Yi; Lee, Jun-Jun; Chang, Chiung-Chih

2018-01-01

Purpose: In Parkinson’s disease with mild cognitive impairment (PD-MCI), we investigated the clinical significance of salience network (SN) in depression and cognitive performance. Methods: Seventy seven PD-MCI patients that fulfilled multi-domain and non-amnestic subtype were included. Gray matter structural covariance networks were constructed by 3D T1-magnetic resonance imaging and seed based analysis. The patients were divided into two groups by psychiatric interviews and screening of Geriatric Depression Scale (GDS): PD-MCI with depression (PD-MCI-D) or without depression (PD-MCI-ND). The seed or peak cluster volume, or the significant differences in the regression slopes in each seed-peak cluster correlation, were used to evaluate the significance with the neurobehavioral scores. Results: This study is the first to demonstrate that the PD-MCI-ND group presented a larger number of voxels of structural covariance in SN than the PD-MCI-D group. The right fronto-insular seed volumes and the peak cluster of left lingual gyrus showed significant inverse correlation with the Geriatric Depression Scale (GDS; r = -0.231, P = 0.046). Conclusions: This study is the first to validate the clinical significance of the SN in PD-MCI-D. The right insular seed value and the SN correlated with the severity of depression in PD-MCI. PMID:29375361

Transcultural adaption and validation of the Spanish version of the Bipolar Depression Rating Scale (BDRS-S).

PubMed

Sarró, Salvador; Madre, Mercè; Fernández-Corcuera, Paloma; Valentí, Marc; Goikolea, José M; Pomarol-Clotet, Edith; Berk, Michael; Amann, Benedikt L

2015-02-01

The Bipolar Depression Rating Scale (BDRS) arguably better captures symptoms in bipolar depression especially depressive mixed states than traditional unipolar depression rating scales. The psychometric properties of the Spanish adapted version, BDRS-S, are reported. The BDRS was translated into Spanish by two independent psychiatrists fluent in English and Spanish. After its back-translation into English, the BDRS-S was administered to 69 DSMI-IV bipolar I and II patients who were recruited from two Spanish psychiatric hospitals. The Hamilton Depression Rating Scale (HDRS), the Montgomery-Asberg Depression Rating Scale (MADRS) and the Young Mania Rating Scale (YMRS) were concurrently administered. 42 patients were reviewed via video by four psychiatrists blind to the psychopathological status of those patients. In order to assess the BDRS-S intra-rater or test-retest validity, 22 subjects were assessed by the same investigator performing two evaluations within five days. The BDRS-S had a good internal consistency (Cronbach׳s α=0.870). We observed strong correlations between the BDRS-S and the HDRS (r=0.874) and MADRS (r=0.854) and also between the mixed symptom cluster score of the BDRS-S and the YMRS (r=0.803). Exploratory factor analysis revealed a three factor solution: psychological depressive symptoms cluster, somatic depressive symptoms cluster and mixed symptoms cluster. A relatively small sample size for a 20-item scale. The BDRS-S provides solid psychometric performance and in particular captures depressive or mixed symptoms in Spanish bipolar patients. Copyright © 2014 Elsevier B.V. All rights reserved.

Some Preliminary Notes on an Empirical Test of Freud’s Theory on Depression

PubMed Central

Desmet, Mattias

2012-01-01

A review of the literature indicates that empirical researchers have difficulty translating Freud’s theory on depression into appropriate research questions and hypotheses. In their attempt to do so, the level of complexity in Freud’s work is often lost. As a result, what is empirically tested is no more than a caricature of the original theory. To help researchers avoid such problems, this study presents a conceptual analysis of Freud’s theory of depression as it is presented in Mourning and Melancholia (Freud, 1917). In analyzing Freud’s theory on the etiology of depression, it is essential to differentiate between (1) an identification with the satisfying and frustrating aspects of the love object, (2) the inter- and an intrapersonal loss of the love object, and (3) conscious and unconscious dynamics. A schematic representation of the mechanism of depression is put forward and a research design by which this schema can be empirically investigated is outlined. PMID:23675357

Plasma cortisol in Alzheimer’s disease with or without depressive symptoms

PubMed Central

Zvěřová, Martina; Fišar, Zdeněk; Jirák, Roman; Kitzlerová, Eva; Hroudová, Jana; Raboch, Jiří

2013-01-01

Background Cortisol is presumed to be a risk factor for stress- and age-related disorders, such as depressive disorder and Alzheimer’s disease (AD). The aim of this study was to investigate the association of plasma cortisol concentration with AD in presence or absence of comorbid depressive symptoms. Material/Methods Plasma cortisol concentration was measured in 80 AD patients (35 of them with depressive symptoms), 27 elderly depressive patients without AD, and 37 elderly controls. Results Compared to controls, a significant increase of mean plasma cortisol was found in AD patients but not in depressive patients. Plasma cortisol was positively correlated with cognitive impairment in AD patients. We confirmed a U-shaped association between plasma cortisol and major depression and a linear association between plasma cortisol and AD without depressive symptoms. Significantly increased relative risk of disease in people with high plasma cortisol was found for AD with depressive symptoms and for AD with mild dementia. Conclusions Plasma cortisol reflects the degree of cognitive impairment in AD rather than the severity of comorbid depression. We confirmed that both hypercortisolemia and hypocortisolemia are associated with depressive disorder. Significant association between high plasma cortisol and AD was found, supporting the use of high plasma cortisol as a component of a panel of biochemical markers for AD with depressive symptoms as well as AD in the early stage of dementia development. PMID:23955525

Automated tissue segmentation of MR brain images in the presence of white matter lesions.

PubMed

Valverde, Sergi; Oliver, Arnau; Roura, Eloy; González-Villà, Sandra; Pareto, Deborah; Vilanova, Joan C; Ramió-Torrentà, Lluís; Rovira, Àlex; Lladó, Xavier

2017-01-01

Over the last few years, the increasing interest in brain tissue volume measurements on clinical settings has led to the development of a wide number of automated tissue segmentation methods. However, white matter lesions are known to reduce the performance of automated tissue segmentation methods, which requires manual annotation of the lesions and refilling them before segmentation, which is tedious and time-consuming. Here, we propose a new, fully automated T1-w/FLAIR tissue segmentation approach designed to deal with images in the presence of WM lesions. This approach integrates a robust partial volume tissue segmentation with WM outlier rejection and filling, combining intensity and probabilistic and morphological prior maps. We evaluate the performance of this method on the MRBrainS13 tissue segmentation challenge database, which contains images with vascular WM lesions, and also on a set of Multiple Sclerosis (MS) patient images. On both databases, we validate the performance of our method with other state-of-the-art techniques. On the MRBrainS13 data, the presented approach was at the time of submission the best ranked unsupervised intensity model method of the challenge (7th position) and clearly outperformed the other unsupervised pipelines such as FAST and SPM12. On MS data, the differences in tissue segmentation between the images segmented with our method and the same images where manual expert annotations were used to refill lesions on T1-w images before segmentation were lower or similar to the best state-of-the-art pipeline incorporating automated lesion segmentation and filling. Our results show that the proposed pipeline achieved very competitive results on both vascular and MS lesions. A public version of this approach is available to download for the neuro-imaging community. Copyright © 2016 Elsevier B.V. All rights reserved.

The "S.W.A.T." Concept.

ERIC Educational Resources Information Center

Williamson, Bob; And Others

1985-01-01

Describes Statistical Work Analysis Teams (S.W.A.T.), which marry the two factors necessary for successful statistical analysis with the personal nature of attribute data into a single effort. Discusses S.W.A.T. project guidelines, implementation of the first S.W.A.T. projects, team training, and project completion. (CT)

Synthesis of Nitric Oxide-Releasing Polyurethanes with S-Nitrosothiol-Containing Hard and Soft Segments

PubMed Central

Coneski, Peter N.

2013-01-01

Nitric oxide (NO)-releasing polyurethanes capable of releasing up to 0.20 μmol NO cm−2 were synthesized by incorporating active S-nitrosothiol functionalities into hard and soft segment domains using thiol group protection and post-polymerization modifications, respectively. The nitrosothiol position within the hard and soft segment domains of the polyurethanes impacted both the total NO release and NO release kinetics. The NO storage and release properties were correlated to both chain extender modification and ensuing phase miscibility of the polyurethanes. Thorough material characterization is provided to examine the effects of hard and soft segment modifications on the resultant polyurethane properties. PMID:23418409

Hippocampal gene expression of deiodinases 2 and 3 and effects of 3,5-diiodo-L-thyronine T2 in mouse depression paradigms.

PubMed

Markova, Natalyia; Chernopiatko, Anton; Schroeter, Careen A; Malin, Dmitry; Kubatiev, Aslan; Bachurin, Sergey; Costa-Nunes, João; Steinbusch, Harry M W; Strekalova, Tatyana

2013-01-01

Central thyroid hormone signaling is important in brain function/dysfunction, including affective disorders and depression. In contrast to 3,3',5-triiodo-L-thyronine (T3), the role of 3,5-diiodo-L-thyronine (T2), which until recently was considered an inactive metabolite of T3, has not been studied in these pathologies. However, both T3 and T2 stimulate mitochondrial respiration, a factor counteracting the pathogenesis of depressive disorder, but the cellular origins in the CNS, mechanisms, and kinetics of the cellular action for these two hormones are distinct and independent of each other. Here, Illumina and RT PCR assays showed that hippocampal gene expression of deiodinases 2 and 3, enzymes involved in thyroid hormone regulation, is increased in resilience to stress-induced depressive syndrome and after antidepressant treatment in mice that might suggest elevated T2 and T3 turnover in these phenotypes. In a separate experiment, bolus administration of T2 at the doses 750 and 1,500 mcg/kg but not 250 mcg/kg in naive mice reduced immobility in a two-day tail suspension test in various settings without changing locomotion or anxiety. This demonstrates an antidepressant-like effect of T2 that could be exploited clinically. In a wider context, the current study suggests important central functions of T2, whose biological role only lately is becoming to be elucidated.

Automatic iterative segmentation of multiple sclerosis lesions using Student's t mixture models and probabilistic anatomical atlases in FLAIR images.

PubMed

Freire, Paulo G L; Ferrari, Ricardo J

2016-06-01

Multiple sclerosis (MS) is a demyelinating autoimmune disease that attacks the central nervous system (CNS) and affects more than 2 million people worldwide. The segmentation of MS lesions in magnetic resonance imaging (MRI) is a very important task to assess how a patient is responding to treatment and how the disease is progressing. Computational approaches have been proposed over the years to segment MS lesions and reduce the amount of time spent on manual delineation and inter- and intra-rater variability and bias. However, fully-automatic segmentation of MS lesions still remains an open problem. In this work, we propose an iterative approach using Student's t mixture models and probabilistic anatomical atlases to automatically segment MS lesions in Fluid Attenuated Inversion Recovery (FLAIR) images. Our technique resembles a refinement approach by iteratively segmenting brain tissues into smaller classes until MS lesions are grouped as the most hyperintense one. To validate our technique we used 21 clinical images from the 2015 Longitudinal Multiple Sclerosis Lesion Segmentation Challenge dataset. Evaluation using Dice Similarity Coefficient (DSC), True Positive Ratio (TPR), False Positive Ratio (FPR), Volume Difference (VD) and Pearson's r coefficient shows that our technique has a good spatial and volumetric agreement with raters' manual delineations. Also, a comparison between our proposal and the state-of-the-art shows that our technique is comparable and, in some cases, better than some approaches, thus being a viable alternative for automatic MS lesion segmentation in MRI. Copyright © 2016 Elsevier Ltd. All rights reserved.

Transcranial direct current stimulation (tDCS) in the treatment of depression: Systematic review and meta-analysis of efficacy and tolerability.

PubMed

Meron, Daniel; Hedger, Nicholas; Garner, Matthew; Baldwin, David S

2015-10-01

Transcranial direct current stimulation (tDCS) is a potential alternative treatment option for major depressive episodes (MDE). We address the efficacy and safety of tDCS in MDE. The outcome measures were Hedges' g for continuous depression ratings, and categorical response and remission rates. A random effects model indicated that tDCS was superior to sham tDCS (k=11, N=393, g=0.30, 95% CI=[0.04, 0.57], p=0.027). Adjunctive antidepressant medication and cognitive control training negatively impacted on the treatment effect. The pooled log odds ratios (LOR) for response and remission were positive, but statistically non-significant (response: k=9, LOR=0.36, 95% CI[-0.16, 0.88], p=0.176, remission: k=9, LOR=0.25, 95% CI [-0.42, 0.91], p=0.468). We estimated that for a study to detect the pooled continuous effect (g=0.30) at 80% power (alpha=0.05), a total N of at least 346 would be required (with the total N required to detect the upper and lower bound being 49 and 12,693, respectively). tDCS may be efficacious for treatment of MDE. The data do not support the use of tDCS in treatment-resistant depression, or as an add-on augmentation treatment. Larger studies over longer treatment periods are needed. Copyright © 2015 Elsevier Ltd. All rights reserved.

A cry in the dark: depressed mothers show reduced neural activation to their own infant’s cry

PubMed Central

Ablow, Jennifer C.

2012-01-01

This study investigated depression-related differences in primiparous mothers’ neural response to their own infant’s distress cues. Mothers diagnosed with major depressive disorder (n = 11) and comparison mothers with no diagnosable psychopathology (n = 11) were exposed to their own 18-months-old infant’s cry sound, as well as unfamiliar infant’s cry and control sound, during functional neuroimaging. Depressed mothers’ response to own infant cry greater than other sounds was compared to non-depressed mothers’ response in the whole brain [false discovery rate (FDR) corrected]. A continuous measure of self-reported depressive symptoms (CESD) was also tested as a predictor of maternal response. Non-depressed mothers activated to their own infant’s cry greater than control sound in a distributed network of para/limbic and prefrontal regions, whereas depressed mothers as a group failed to show activation. Non-depressed compared to depressed mothers showed significantly greater striatal (caudate, nucleus accumbens) and medial thalamic activation. Additionally, mothers with lower depressive symptoms activated more strongly in left orbitofrontal, dorsal anterior cingulate and medial superior frontal regions. Non-depressed compared to depressed mothers activated uniquely to own infant greater than other infant cry in occipital fusiform areas. Disturbance of these neural networks involved in emotional response and regulation may help to explain parenting deficits in depressed mothers. PMID:21208990

Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation

PubMed Central

Zhang, Wenlu; Li, Rongjian; Deng, Houtao; Wang, Li; Lin, Weili; Ji, Shuiwang; Shen, Dinggang

2015-01-01

The segmentation of infant brain tissue images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) plays an important role in studying early brain development in health and disease. In the isointense stage (approximately 6–8 months of age), WM and GM exhibit similar levels of intensity in both T1 and T2 MR images, making the tissue segmentation very challenging. Only a small number of existing methods have been designed for tissue segmentation in this isointense stage; however, they only used a single T1 or T2 images, or the combination of T1 and T2 images. In this paper, we propose to use deep convolutional neural networks (CNNs) for segmenting isointense stage brain tissues using multi-modality MR images. CNNs are a type of deep models in which trainable filters and local neighborhood pooling operations are applied alternatingly on the raw input images, resulting in a hierarchy of increasingly complex features. Specifically, we used multimodality information from T1, T2, and fractional anisotropy (FA) images as inputs and then generated the segmentation maps as outputs. The multiple intermediate layers applied convolution, pooling, normalization, and other operations to capture the highly nonlinear mappings between inputs and outputs. We compared the performance of our approach with that of the commonly used segmentation methods on a set of manually segmented isointense stage brain images. Results showed that our proposed model significantly outperformed prior methods on infant brain tissue segmentation. In addition, our results indicated that integration of multi-modality images led to significant performance improvement. PMID:25562829

Longitudinal change instead of baseline testosterone predicts depressive symptoms.

PubMed

Kische, Hanna; Pieper, Lars; Venz, John; Klotsche, Jens; März, Winfried; Koch-Gromus, Uwe; Pittrow, David; Lehnert, Hendrik; Silber, Sigmund; Stalla, G K; Zeiher, Andreas M; Wittchen, Hans-Ulrich; Haring, Robin

2018-03-01

The association between total testosterone (T) and depression mostly relies on single sex hormone assessment and remains inconclusive. Thus, we investigated the comparative predictive performance of baseline T and change in T with development of depressive symptoms and incident depressive episodes. We used data from 6493 primary care patients (2653 men and 3840 women) of the DETECT study (Diabetes Cardiovascular Risk-Evaluation: Targets and Essential Data for Commitment of Treatment), including four-year follow-up, repeated immunoassay-based measurement of serum T and depressive symptoms assessed by the Depression Screening Questionnaire (DSQ). Cross-sectional and longitudinal associations of baseline T and one-year change in T with prevalent and incident depression were investigated using age- and multivariable-adjusted regression models. Baseline T showed no association with prevalent or incident depressive symptoms and episodes in both sexes. In men, a positive change in T (higher T at one-year follow-up compared to baseline) was associated with a lower burden of depressive symptoms (β-coefficient per unit change in T: -0.17; 95% CI: -0.31 to -0.04) and lower risk of incident depressive symptoms (odds ratio per unit change in T: 0.84; 95% CI: 0.72-0.98) at four-year follow-up. In women, the association of T change with incident depressive episodes was rendered non-significant after multivariable adjustment. The present study observed a sex-specific inverse association of T change, but not baseline T, with increased depressive symptom burden in men. Future studies should assess longitudinal changes in sex hormone status as predictor of adverse health outcomes related to low T. Copyright © 2017 Elsevier Ltd. All rights reserved.

Compensatory Renal Hypertrophy and the Uptake of Cysteine S-Conjugates of Hg2+ in Isolated S2 Proximal Tubular Segments.

PubMed

Bridges, Christy C; Barfuss, Delon W; Joshee, Lucy; Zalups, Rudolfs K

2016-12-01

Chronic kidney disease is characterized by a progressive and permanent loss of functioning nephrons. In order to compensate for this loss, the remaining functional nephrons undergo significant structural and functional changes. We hypothesize that luminal uptake of inorganic mercury (Hg 2+ ), as a conjugate of cysteine (Cys; Cys-S-Hg-S-Cys), is enhanced in S2 segments of proximal tubules from the remnant kidney of uninephrectomized (NPX) rabbits. To test this hypothesis, we measured uptake and accumulation of Cys-S-Hg-S-Cys in isolated perfused S2 segments of proximal tubules from normal (control) and NPX rabbits. The remnant kidney in NPX rabbits undergoes significant hypertrophy during the initial 3 weeks following surgery. Tubules isolated from NPX rabbits were significantly larger in diameter and volume than those from control rabbits. Moreover, real-time PCR analyses of proximal tubules indicated that the expression of selected membrane transporters was greater in kidneys of NPX animals than in kidneys of control animals. When S2 segments from control and NPX rabbits were perfused with cystine or Cys-S-Hg-S-Cys, we found that the rates of luminal disappearance and tubular accumulation of Hg 2+  were greater in tubules from NPX animals. These increases were inhibited by the addition of various amino acids to the perfusate. Taken together, our data suggest that hypertrophic changes in proximal tubules lead to an enhanced ability of these tubules to take up and accumulate Hg 2 . © The Author 2016. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Hippocampal Gene Expression of Deiodinases 2 and 3 and Effects of 3,5-Diiodo-L-Thyronine T2 in Mouse Depression Paradigms

PubMed Central

Markova, Natalyia; Chernopiatko, Anton; Schroeter, Careen A.; Malin, Dmitry; Kubatiev, Aslan; Bachurin, Sergey; Costa-Nunes, João; Steinbusch, Harry M. W.; Strekalova, Tatyana

2013-01-01

Central thyroid hormone signaling is important in brain function/dysfunction, including affective disorders and depression. In contrast to 3,3′,5-triiodo-L-thyronine (T3), the role of 3,5-diiodo-L-thyronine (T2), which until recently was considered an inactive metabolite of T3, has not been studied in these pathologies. However, both T3 and T2 stimulate mitochondrial respiration, a factor counteracting the pathogenesis of depressive disorder, but the cellular origins in the CNS, mechanisms, and kinetics of the cellular action for these two hormones are distinct and independent of each other. Here, Illumina and RT PCR assays showed that hippocampal gene expression of deiodinases 2 and 3, enzymes involved in thyroid hormone regulation, is increased in resilience to stress-induced depressive syndrome and after antidepressant treatment in mice that might suggest elevated T2 and T3 turnover in these phenotypes. In a separate experiment, bolus administration of T2 at the doses 750 and 1500 mcg/kg but not 250 mcg/kg in naive mice reduced immobility in a two-day tail suspension test in various settings without changing locomotion or anxiety. This demonstrates an antidepressant-like effect of T2 that could be exploited clinically. In a wider context, the current study suggests important central functions of T2, whose biological role only lately is becoming to be elucidated. PMID:24386638

Data Bank 22 - Form 41 Schedule T-3 (T-100) Quarterly U.S. Air Carrier Airport Activity Statistics : fourth quarter.

DOT National Transportation Integrated Search

2011-01-01

This CD presents totals derived from the monthly T-100 segment and market data for the reporting carrier by airport served, and includes departures, passenger and cargo traffic enplanements in both scheduled and nonscheduled service, as well as depar...

Data Bank 22 - Form 41 Schedule T-3 (T-100) Quarterly U.S. Air Carrier Airport Activity Statistics : fourth quarter.

DOT National Transportation Integrated Search

2008-01-01

This CD presents totals derived from the monthly T-100 segment and market data for the reporting carrier by airport served, and includes departures, passenger and cargo traffic enplanements in both scheduled and nonscheduled service, as well as depar...

The effects of guided imagery on comfort, depression, anxiety, and stress of psychiatric inpatients with depressive disorders.

PubMed

Apóstolo, João Luís Alves; Kolcaba, Katharine

2009-12-01

This article describes the efficacy of a guided imagery intervention for decreasing depression, anxiety, and stress and increasing comfort in psychiatric inpatients with depressive disorders. A quasi-experimental design sampled 60 short-term hospitalized depressive patients selected consecutively. The experimental group listened to a guided imagery compact disk once a day for 10 days. The Psychiatric Inpatients Comfort Scale and the Depression, Anxiety, and Stress Scales (DASS-21) were self-administered at two time points: prior to the intervention (T1) and 10 days later (T2). Comfort and DASS-21 were also assessed in the usual care group at T1 and T2. Repeated measures revealed that the treatment group had significantly improved comfort and decreased depression, anxiety, and stress over time.

A single-band envelope cue as a supplement to speechreading of segmentals: a comparison of auditory versus tactual presentation.

PubMed

Bratakos, M S; Reed, C M; Delhorne, L A; Denesvich, G

2001-06-01

The objective of this study was to compare the effects of a single-band envelope cue as a supplement to speechreading of segmentals and sentences when presented through either the auditory or tactual modality. The supplementary signal, which consisted of a 200-Hz carrier amplitude-modulated by the envelope of an octave band of speech centered at 500 Hz, was presented through a high-performance single-channel vibrator for tactual stimulation or through headphones for auditory stimulation. Normal-hearing subjects were trained and tested on the identification of a set of 16 medial vowels in /b/-V-/d/ context and a set of 24 initial consonants in C-/a/-C context under five conditions: speechreading alone (S), auditory supplement alone (A), tactual supplement alone (T), speechreading combined with the auditory supplement (S+A), and speechreading combined with the tactual supplement (S+T). Performance on various speech features was examined to determine the contribution of different features toward improvements under the aided conditions for each modality. Performance on the combined conditions (S+A and S+T) was compared with predictions generated from a quantitative model of multi-modal performance. To explore the relationship between benefits for segmentals and for connected speech within the same subjects, sentence reception was also examined for the three conditions of S, S+A, and S+T. For segmentals, performance generally followed the pattern of T < A < S < S+T < S+A. Significant improvements to speechreading were observed with both the tactual and auditory supplements for consonants (10 and 23 percentage-point improvements, respectively), but only with the auditory supplement for vowels (a 10 percentage-point improvement). The results of the feature analyses indicated that improvements to speechreading arose primarily from improved performance on the features low and tense for vowels and on the features voicing, nasality, and plosion for consonants. These

A literature review of studies of depression and treatment outcomes among U.S. College students since 1990.

PubMed

Miller, Elissa J; Chung, Henry

2009-09-01

The mental health of U.S. college students is a growing public health concern. Particularly alarming is the prevalence of depression and risk of suicide in this cohort. A literature review of PsycINFO, MEDLINE, and CINAHL databases was conducted in order to identify and evaluate depression and treatment outcomes among U.S. college students since 1990. Four studies documenting depression and treatment outcomes among U.S. college students were identified and reviewed. Although research on the depression and treatment outcomes among U.S. college students exists, it is scarce and inconsistent, with varying inclusion and exclusion criteria and measurement of depression severity and its treatment. Future work needs to focus on the development of reasonable benchmarks of depression and treatment outcomes in the college population and the integration of such outcome data into college mental health practice.

The MAOA T941G polymorphism and short-term treatment response to mirtazapine and paroxetine in major depression.

PubMed

Tadić, André; Müller, Matthias J; Rujescu, Dan; Kohnen, Ralf; Stassen, Hans H; Dahmen, Norbert; Szegedi, Armin

2007-04-05

This study investigated the possible association of the MAOA T941G gene variant with differential antidepressant response to mirtazapine and/or paroxetine in 102 patients with major depression (DSM-IV criteria) participating in a randomized double-blind controlled clinical trial. Female mirtazapine-treated patients homozygous for the T-allele had a significantly faster and better treatment response than TG/GG-patients. In males, we failed to show an association between MAOA T941G gene variant and mirtazapine response. In the paroxetine-treated group, there were no significant differences in treatment response between MAOA T941G genotype groups. Time course of response and antidepressant efficacy of mirtazapine, but not paroxetine, seem to be influenced in a clinically relevant manner by this allelic variation within the MAOA gene, at least in female patients. An independent replication of our finding is needed. If replicated, genotyping of this locus could become a promising tool to predict response to mirtazapine treatment in females suffering from major depression. (c) 2006 Wiley-Liss, Inc.

Are Dietary Patterns Associated with Depression in U.S. Adults?

PubMed

Kim, Woo Kyoung; Shin, Dayeon; Song, Won O

2016-11-01

Nutrition is one of the most important modifiable determinants for and consequences of both mental and physical heath. Depression has become an increasingly important public health issue. We tested whether dietary patterns derived from food group intake are associated with depression in U.S. adults in a cross-sectional study with national population. This study included 4180 men and 4196 women aged 20-79 years in the 2007-2010 National Health and Nutrition Examination Surveys (NHANES), with complete data of one 24-h dietary recall, sociodemographics, lifestyles, and Patient Health Questionnaires (PHQ-9) for screening depression. Two major dietary patterns identified by factor analysis were investigated for their associations with presence of depression (PHQ-9 score ≥10) by using linear and multivariate logistic regressions. One of two major patterns, labeled "Western" dietary pattern was characterized by high intakes of nonwhole grain, white potatoes, cheese, meat, discretionary oil and fat, and added sugar; the second dietary pattern that was labeled "Healthy" dietary pattern was characterized by high intakes of whole grains, vegetables, fruits, fish, nuts and seeds. The "Western" dietary pattern was not significantly associated with depression in both men and women. The "Healthy" dietary pattern scores were inversely associated with the PHQ-9 depression scores and odd ratios (ORs) of depression after adjustment for covariates in women but not in men. The OR of depression in women with the highest quintile of "Healthy" dietary pattern scores was 0.60 (95% confidence interval [CI]: 0.42-0.85, P < .001) compared to the lowest quintile as a reference. These findings warrant future interventions or clinical trials in elucidating causal and effect relations of depression and dietary patterns, an important public health concern.

Smeared spectrum jamming suppression based on generalized S transform and threshold segmentation

NASA Astrophysics Data System (ADS)

Li, Xin; Wang, Chunyang; Tan, Ming; Fu, Xiaolong

2018-04-01

Smeared Spectrum (SMSP) jamming is an effective jamming in countering linear frequency modulation (LFM) radar. According to the time-frequency distribution difference between jamming and echo, a jamming suppression method based on Generalized S transform (GST) and threshold segmentation is proposed. The sub-pulse period is firstly estimated based on auto correlation function firstly. Secondly, the time-frequency image and the related gray scale image are achieved based on GST. Finally, the Tsallis cross entropy is utilized to compute the optimized segmentation threshold, and then the jamming suppression filter is constructed based on the threshold. The simulation results show that the proposed method is of good performance in the suppression of false targets produced by SMSP.

[Thyroid function in patients with anorexia nervosa and depression].

PubMed

Natori, Y; Yamaguchi, N; Koike, S; Aoyama, A; Tsuchibuchi, S; Kojyo, K; Demura, R

1994-12-01

Thyroid hormone levels were measured in 21 patients with anorexia nervosa, 15 patients with depression and 16 patients with severe depression and were compared with those in 53 normal subjects. In anorexia nervosa and severe depressed patients, serum T3, T4, fT3, fT4 and T3/T4 ratio showed significantly lower values than those in normal subjects. However there was no difference between depressed patients and normal subjects. The serum TSH levels were within normal range in all of the studied subjects. Thus, thyroid hormone levels in severe depressed patients were similar to those in anorexia nervosa and the changes were inversely related to disease conditions. The supplementation of thyroid hormones to antidepressant relieved clinical symptoms in some of the severe depressed patients. These results suggested that the changes in thyroid hormone levels in anorexia nervosa and severe depression were mainly due to impaired conversion of T4 to T3 by increased cortisol secretion through emotional stress.

A social marketing approach to implementing evidence-based practice in VHA QUERI: the TIDES depression collaborative care model.

PubMed

Luck, Jeff; Hagigi, Fred; Parker, Louise E; Yano, Elizabeth M; Rubenstein, Lisa V; Kirchner, JoAnn E

2009-09-28

Collaborative care models for depression in primary care are effective and cost-effective, but difficult to spread to new sites. Translating Initiatives for Depression into Effective Solutions (TIDES) is an initiative to promote evidence-based collaborative care in the U.S. Veterans Health Administration (VHA). Social marketing applies marketing techniques to promote positive behavior change. Described in this paper, TIDES used a social marketing approach to foster national spread of collaborative care models. The approach relied on a sequential model of behavior change and explicit attention to audience segmentation. Segments included VHA national leadership, Veterans Integrated Service Network (VISN) regional leadership, facility managers, frontline providers, and veterans. TIDES communications, materials and messages targeted each segment, guided by an overall marketing plan. Depression collaborative care based on the TIDES model was adopted by VHA as part of the new Primary Care Mental Health Initiative and associated policies. It is currently in use in more than 50 primary care practices across the United States, and continues to spread, suggesting success for its social marketing-based dissemination strategy. Development, execution and evaluation of the TIDES marketing effort shows that social marketing is a promising approach for promoting implementation of evidence-based interventions in integrated healthcare systems.

A social marketing approach to implementing evidence-based practice in VHA QUERI: the TIDES depression collaborative care model

PubMed Central

2009-01-01

Abstract Collaborative care models for depression in primary care are effective and cost-effective, but difficult to spread to new sites. Translating Initiatives for Depression into Effective Solutions (TIDES) is an initiative to promote evidence-based collaborative care in the U.S. Veterans Health Administration (VHA). Social marketing applies marketing techniques to promote positive behavior change. Described in this paper, TIDES used a social marketing approach to foster national spread of collaborative care models. TIDES social marketing approach The approach relied on a sequential model of behavior change and explicit attention to audience segmentation. Segments included VHA national leadership, Veterans Integrated Service Network (VISN) regional leadership, facility managers, frontline providers, and veterans. TIDES communications, materials and messages targeted each segment, guided by an overall marketing plan. Results Depression collaborative care based on the TIDES model was adopted by VHA as part of the new Primary Care Mental Health Initiative and associated policies. It is currently in use in more than 50 primary care practices across the United States, and continues to spread, suggesting success for its social marketing-based dissemination strategy. Discussion and conclusion Development, execution and evaluation of the TIDES marketing effort shows that social marketing is a promising approach for promoting implementation of evidence-based interventions in integrated healthcare systems. PMID:19785754

Depressive Symptoms in Youth With Type 1 or Type 2 Diabetes: Results of the Pediatric Diabetes Consortium Screening Assessment of Depression in Diabetes Study.

PubMed

Silverstein, Janet; Cheng, Peiyao; Ruedy, Katrina J; Kollman, Craig; Beck, Roy W; Klingensmith, Georgeanna J; Wood, Jamie R; Willi, Steven; Bacha, Fida; Lee, Joyce; Cengiz, Eda; Redondo, Maria J; Tamborlane, William V

2015-12-01

To evaluate the frequency of depressive symptoms and the diagnosis and management of depression in youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) enrolled in the Pediatric Diabetes Consortium T1D and T2D registries. The Children's Depression Inventory (CDI) 2 Self-Report (Short) version was completed by 261 T1D and 339 T2D youth aged 10-17 years. Symptoms of depression were identified in 13% of T1D and 22% of T2D (P = 0.007) participants; of these, only 4% of T1D and 9% of T2D youth were treated by a therapist within the prior 12 months. Depressive symptoms were associated with lower family income (P = 0.006) and obesity (P = 0.002) in T1D but not T2D youth. Depressive symptoms are more frequent than diagnosed depression in youth with T1D or T2D. These results underscore the need for regular depression screening and appropriate referral for youth with diabetes. © 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

MO-F-CAMPUS-J-05: Toward MRI-Only Radiotherapy: Novel Tissue Segmentation and Pseudo-CT Generation Techniques Based On T1 MRI Sequences

DOE Office of Scientific and Technical Information (OSTI.GOV)

Aouadi, S; McGarry, M; Hammoud, R

Purpose: To develop and validate a 4 class tissue segmentation approach (air cavities, background, bone and soft-tissue) on T1 -weighted brain MRI and to create a pseudo-CT for MRI-only radiation therapy verification. Methods: Contrast-enhanced T1-weighted fast-spin-echo sequences (TR = 756ms, TE= 7.152ms), acquired on a 1.5T GE MRI-Simulator, are used.MRIs are firstly pre-processed to correct for non uniformity using the non parametric, non uniformity intensity normalization algorithm. Subsequently, a logarithmic inverse scaling log(1/image) is applied, prior to segmentation, to better differentiate bone and air from soft-tissues. Finally, the following method is enrolled to classify intensities into air cavities, background, bonemore » and soft-tissue:Thresholded region growing with seed points in image corners is applied to get a mask of Air+Bone+Background. The background is, afterward, separated by the scan-line filling algorithm. The air mask is extracted by morphological opening followed by a post-processing based on knowledge about air regions geometry. The remaining rough bone pre-segmentation is refined by applying 3D geodesic active contours; bone segmentation evolves by the sum of internal forces from contour geometry and external force derived from image gradient magnitude.Pseudo-CT is obtained by assigning −1000HU to air and background voxels, performing linear mapping of soft-tissue MR intensities in [-400HU, 200HU] and inverse linear mapping of bone MR intensities in [200HU, 1000HU]. Results: Three brain patients having registered MRI and CT are used for validation. CT intensities classification into 4 classes is performed by thresholding. Dice and misclassification errors are quantified. Correct classifications for soft-tissue, bone, and air are respectively 89.67%, 77.8%, and 64.5%. Dice indices are acceptable for bone (0.74) and soft-tissue (0.91) but low for air regions (0.48). Pseudo-CT produces DRRs with acceptable clinical visual

A deep learning model integrating FCNNs and CRFs for brain tumor segmentation.

PubMed

Zhao, Xiaomei; Wu, Yihong; Song, Guidong; Li, Zhenye; Zhang, Yazhuo; Fan, Yong

2018-01-01

Accurate and reliable brain tumor segmentation is a critical component in cancer diagnosis, treatment planning, and treatment outcome evaluation. Build upon successful deep learning techniques, a novel brain tumor segmentation method is developed by integrating fully convolutional neural networks (FCNNs) and Conditional Random Fields (CRFs) in a unified framework to obtain segmentation results with appearance and spatial consistency. We train a deep learning based segmentation model using 2D image patches and image slices in following steps: 1) training FCNNs using image patches; 2) training CRFs as Recurrent Neural Networks (CRF-RNN) using image slices with parameters of FCNNs fixed; and 3) fine-tuning the FCNNs and the CRF-RNN using image slices. Particularly, we train 3 segmentation models using 2D image patches and slices obtained in axial, coronal and sagittal views respectively, and combine them to segment brain tumors using a voting based fusion strategy. Our method could segment brain images slice-by-slice, much faster than those based on image patches. We have evaluated our method based on imaging data provided by the Multimodal Brain Tumor Image Segmentation Challenge (BRATS) 2013, BRATS 2015 and BRATS 2016. The experimental results have demonstrated that our method could build a segmentation model with Flair, T1c, and T2 scans and achieve competitive performance as those built with Flair, T1, T1c, and T2 scans. Copyright © 2017 Elsevier B.V. All rights reserved.

Effects of fog, driver experience and gender on driving behavior on S-curved road segments.

PubMed

Li, Xiaomeng; Yan, Xuedong; Wong, S C

2015-04-01

Driving on curved roads has been recognized as a significant safety issue for many years. However, driver behavior and the interactions among variables that affect driver performance on curves is complicated and not well understood. Previous studies have investigated various factors that influence driver performance on right- or left-turn curves, but have paid little attention to the effects of foggy weather, driver experience and gender on driver performance on complex curves. A driving simulator experiment was conducted in this study to evaluate the relationships between driving behavior on a continuous S-curve and foggy weather, driver experience and gender. The process of negotiating a curve was divided into three stages consisting of a straight segment, the transition from the straight segment to the S-curve and the S-curve. The experimental results indicated that drivers tended to drive more cautiously in heavy fog, but the driving risk was still increased, especially in the transition stage from the straight segment to the S-curve. The non-professional (NP) drivers were less sensitive to the impending change in the road geometry, and less skilled in both longitudinal and lateral vehicle control than the professional drivers. The NP female drivers in particular were found to be the most vulnerable group in S-curve driving. Copyright © 2015 Elsevier Ltd. All rights reserved.

Depression and College Students

MedlinePlus

... depression and other mental health issues? Reference Share Depression and College Students Download PDF Download ePub Order ... Answers to college students’ frequently asked questions about depression Feeling moody, sad, or grouchy? Who doesn’t ...

The Toxicity Estimation Software Tool (T.E.S.T.)

EPA Science Inventory

The Toxicity Estimation Software Tool (T.E.S.T.) has been developed to estimate toxicological values for aquatic and mammalian species considering acute and chronic endpoints for screening purposes within TSCA and REACH programs.

Burnout does not help predict depression among French school teachers.

PubMed

Bianchi, Renzo; Schonfeld, Irvin Sam; Laurent, Eric

2015-11-01

Burnout has been viewed as a phase in the development of depression. However, supportive research is scarce. We examined whether burnout predicted depression among French school teachers. We conducted a 2-wave, 21-month study involving 627 teachers (73% female) working in French primary and secondary schools. Burnout was assessed with the Maslach Burnout Inventory and depression with the 9-item depression module of the Patient Health Questionnaire (PHQ-9). The PHQ-9 grades depressive symptom severity and provides a provisional diagnosis of major depression. Depression was treated both as a continuous and categorical variable using linear and logistic regression analyses. We controlled for gender, age, and length of employment. Controlling for baseline depressive symptoms, linear regression analysis showed that burnout symptoms at time 1 (T1) did not predict depressive symptoms at time 2 (T2). Baseline depressive symptoms accounted for about 88% of the association between T1 burnout and T2 depressive symptoms. Only baseline depressive symptoms predicted depressive symptoms at follow-up. Similarly, logistic regression analysis revealed that burnout symptoms at T1 did not predict incident cases of major depression at T2 when depressive symptoms at T1 were included in the predictive model. Only baseline depressive symptoms predicted cases of major depression at follow-up. This study does not support the view that burnout is a phase in the development of depression. Assessing burnout symptoms in addition to "classical" depressive symptoms may not always improve our ability to predict future depression.

A Meta-Analytic Review of the Penn Resiliency Program’s Effect on Depressive Symptoms

PubMed Central

Brunwasser, Steven M.; Gillham, Jane E.; Kim, Eric S.

2015-01-01

Objectives The purpose of this review was to evaluate whether the Penn Resiliency Program (PRP), a group cognitive-behavioral intervention, is effective in targeting depressive symptoms in youth. Data sources We identified 17 controlled evaluations of PRP (N = 2498) measuring depressive symptoms via an online search of PsycInfo, Medline, ERIC, and ProQuest Dissertations and Theses, and by requesting data from PRP researchers. Review methods We combined effect sizes (ESs; Glass’s d), using random effects models at post-intervention and two follow-up assessments. Results PRP participants reported fewer depressive symptoms at post-intervention and both follow-up assessments compared to youth receiving no intervention, with ESs ranging from 0.11 to 0.21. Limited data show no evidence that PRP is superior to active control conditions. Subgroup analyses showed that PRP’s effects were significant at 1 or more follow-up assessments among studies using both targeted and universal approaches, when group leaders were research team members and community providers, among participants with both low and elevated baseline symptoms, and among boys and girls. Preliminary analyses suggest that PRP’s effects on depressive disorders may be smaller than those reported in a larger meta-analysis of depression prevention programs for older adolescents and adults. Conclusion We found evidence that PRP significantly reduces depressive symptoms through at least 1 year post-intervention. Future PRP research should examine whether PRP’s effects on depressive symptoms lead to clinically meaningful benefits for its participants, whether the program is cost-effective, whether CBT skills mediate program effects, and whether PRP is effective when delivered under real-world conditions. PMID:19968381

GENERAL VIEW OF TYPE HB54s (BUILDINGS T1088 TO T1093) & ...

Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

GENERAL VIEW OF TYPE HB-54s (BUILDINGS T-1088 TO T-1093) & CONVERTED TYPE HB-54S (BUILDINGS T-1094 TO T-1096), LOOKING SOUTHWEST; BUILDING T-1088 AT LEFT, BUILDING T-1096 AT RIGHT - Fort McCoy, Building No. T-1096, South side of South Ninth Avenue, Block 10, Sparta, Monroe County, WI

A validation framework for brain tumor segmentation.

PubMed

Archip, Neculai; Jolesz, Ferenc A; Warfield, Simon K

2007-10-01

We introduce a validation framework for the segmentation of brain tumors from magnetic resonance (MR) images. A novel unsupervised semiautomatic brain tumor segmentation algorithm is also presented. The proposed framework consists of 1) T1-weighted MR images of patients with brain tumors, 2) segmentation of brain tumors performed by four independent experts, 3) segmentation of brain tumors generated by a semiautomatic algorithm, and 4) a software tool that estimates the performance of segmentation algorithms. We demonstrate the validation of the novel segmentation algorithm within the proposed framework. We show its performance and compare it with existent segmentation. The image datasets and software are available at http://www.brain-tumor-repository.org/. We present an Internet resource that provides access to MR brain tumor image data and segmentation that can be openly used by the research community. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results.

Joint trajectories of cigarette smoking and depressive symptoms from the mid-20s to the mid-30s predicting generalized anxiety disorder.

PubMed

Lee, Jung Yeon; Brook, Judith S; Finch, Stephen J; De La Rosa, Mario; Brook, David W

2017-01-01

The current study examines longitudinal patterns of cigarette smoking and depressive symptoms as predictors of generalized anxiety disorder using data from the Harlem Longitudinal Development Study. There were 674 African American (53%) and Puerto Rican (47%) participants. Among the 674 participants, 60% were females. In the logistic regression analyses, the indicators of membership in each of the joint trajectories of cigarette smoking and depressive symptoms from the mid-20s to the mid-30s were used as the independent variables, and the diagnosis of generalized anxiety disorder in the mid-30s was used as the dependent variable. The high cigarette smoking with high depressive symptoms group and the low cigarette smoking with high depressive symptoms group were associated with an increased likelihood of having generalized anxiety disorder as compared to the no cigarette smoking with low depressive symptoms group. The findings shed light on the prevention and treatment of generalized anxiety disorder.

Coping and Cardiac Troponin T - A Risk for Hypertension and Sub-Clinical ECG Left Ventricular Hypertrophy: The SABPA Study.

PubMed

Myburgh, Catharina Elizabeth; Malan, Leoné; Wentzel, Annemarie; Scheepers, Jacobus De Wet; Malan, Nicolaas Theodor

2018-05-31

Defensive coping (DefS) was associated with cardiovascular disease (CVD) susceptibility in Blacks. Whether coping strategies will associate with sub-clinical left ventricular hypertrophy (electrocardiographic-left ventricular hypertrophy [ECG-LVH] or Cornell product), cardiomyocyte injury and blood pressure (BP), is unclear. Therefore, we assessed relationships between ECG-LVH, cardiac troponin T (cTnT) and 24-hour BP in bi-ethnic groups when habitually utilising a certain coping style, and these groups when having a stress-related cTnT cut-point of 4.2ng/L. A target population study included a Black (n=190) and White (n=204) teachers' gender cohort (20-65years) from South Africa. The Coping Strategy Indicator determined DefS, social support and avoidance coping scores. Fasting blood samples, 10-lead ECG, 24-hour BP and -ECG data were obtained. Interaction effects showed no gender, social support and avoidance coping differences. Stratification of groups was done for ethnicity and DefS. Blacks sought more social support, used less avoidance coping and presented with higher CVD susceptibility. Hypertension prevalence and ECG-LVH levels in DefS Blacks (63%) were higher compared to DefS Whites (40%). Multivariate regression analyses showed positive associations between Cornell product, cTnT and BP [p≤0.05] in DefS Blacks only. Their 24-hour systolic blood pressure (SBP) was associated with time-domain depressed heart-rate-variability and prolonged ST-segment-depression especially when applying an established stress-related cTnT ≥ 4.2ng/L cut-point. Defensive coping facilitated autonomic hyperactivity, myocardial injury and subsequent compensatory BP elevations as possible homeostatic reflexes to alleviate myocardial perfusion deficits. The resulting pressure overload increased sub-clinical wall remodelling and ischaemic heart disease risk in Blacks utilising habitual defensiveness. We therefore recommend regular ECG and high sensitivity cTnT screening in

Sensitivity and Specificity of Depression Questionnaires in a College-Age Sample

ERIC Educational Resources Information Center

Shean, Glenn; Baldwin, Gretchen

2008-01-01

The authors evaluated the sensitivity and specificity of the Beck Depression Inventory-II (BDI-II; A. T. Beck, R. A. Steer, & G. K. Brown, 1996) and Center for Epidemiological Studies-Depression Scale (CESD; L. S. Radloff, 1977) questionnaires for a college-student sample. Results indicate that the BDI-II and CES-D evidenced satisfactory…

Dentate gyrus-cornu ammonis (CA) 4 volume is decreased and associated with depressive episodes and lipid peroxidation in bipolar II disorder: Longitudinal and cross-sectional analyses.

PubMed

Elvsåshagen, Torbjørn; Zuzarte, Pedro; Westlye, Lars T; Bøen, Erlend; Josefsen, Dag; Boye, Birgitte; Hol, Per K; Malt, Ulrik F; Young, L Trevor; Andreazza, Ana C

2016-12-01

Reduced dentate gyrus volume and increased oxidative stress have emerged as potential pathophysiological mechanisms in bipolar disorder. However, the relationship between dentate gyrus volume and peripheral oxidative stress markers remains unknown. Here, we examined dentate gyrus-cornu ammonis (CA) 4 volume longitudinally in patients with bipolar II disorder (BD-II) and healthy controls and investigated whether BD-II is associated with elevated peripheral levels of oxidative stress. We acquired high-resolution structural 3T-magnetic resonance imaging (MRI) images and quantified hippocampal subfield volumes using an automated segmentation algorithm in individuals with BD-II (n=29) and controls (n=33). The participants were scanned twice, at study inclusion and on average 2.4 years later. In addition, we measured peripheral levels of two lipid peroxidation markers (4-hydroxy-2-nonenal [4-HNE] and lipid hydroperoxides [LPH]). First, we demonstrated that the automated hippocampal subfield segmentation technique employed in this work reliably measured dentate gyrus-CA4 volume. Second, we found a decreased left dentate gyrus-CA4 volume in patients and that a larger number of depressive episodes between T1 and T2 predicted greater volume decline. Finally, we showed that 4-HNE was elevated in BD-II and that 4-HNE was negatively associated with left and right dentate gyrus-CA4 volumes in patients. These results are consistent with a role for the dentate gyrus in the pathophysiology of bipolar disorder and suggest that depressive episodes and elevated oxidative stress might contribute to hippocampal volume decreases. In addition, these findings provide further support for the hypothesis that peripheral lipid peroxidation markers may reflect brain alterations in bipolar disorders. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Determination of Trichuris skrjabini by sequencing of the ITS1-5.8S-ITS2 segment of the ribosomal DNA: comparative molecular study of different species of trichurids.

PubMed

Cutillas, C; Oliveros, R; de Rojas, M; Guevara, D C

2004-06-01

Adults of Trichuris skrjahini have been isolated from the cecum of caprine hosts (Capra hircus), Trichuris ovis and Trichuris globulosa from Ovis aries (sheep) and C. hircus (goats), and Trichuris leporis from Lepus europaeus (rabbits) in Spain. Genomic DNA was isolated and the ITS1-5.8S-ITS2 segment from the ribosomal DNA (rDNA) was amplified and sequenced by polymerase chain reaction (PCR) techniques. The ITS1 of T. skrjabini, T. ovis, T. globulosa, and T. leporis was 495, 757, 757, and 536 nucleotides in length, respectively, and had G + C contents of 59.6, 58.7, 58.7, and 60.8%, respectively. Intraindividual variation was detected in the ITSI sequences of the 4 species. Furthermore, the 5.8S sequences of T. skrjabini, T. ovis, T. globulosa, and T. leporis were compared. A total of 157, 152, 153, and 157 nucleotides in length was observed in the 5.8S sequences of these 4 species, respectively. There were no sequence differences of ITS1 and 5.8S products between T. ovis and T. globulosa. Nevertheless, clear differences were detected between the ITS1 sequences of T. skrjabini, T. ovis, T. leporis, Trichuris muris, and T. arvicolae. The ITS2 fragment from the rDNA of T. skrjabini was sequenced. A comparative study of the ITS2 sequence of T. skrjabini with the previously published ITS2 sequence data of T. ovis, T. leporis, T. muris, and T. arvicolae suggested that the combined use of sequence data from both spacers would be useful in the molecular characterization of trichurid parasites.

Multiscale CNNs for Brain Tumor Segmentation and Diagnosis.

PubMed

Zhao, Liya; Jia, Kebin

2016-01-01

Early brain tumor detection and diagnosis are critical to clinics. Thus segmentation of focused tumor area needs to be accurate, efficient, and robust. In this paper, we propose an automatic brain tumor segmentation method based on Convolutional Neural Networks (CNNs). Traditional CNNs focus only on local features and ignore global region features, which are both important for pixel classification and recognition. Besides, brain tumor can appear in any place of the brain and be any size and shape in patients. We design a three-stream framework named as multiscale CNNs which could automatically detect the optimum top-three scales of the image sizes and combine information from different scales of the regions around that pixel. Datasets provided by Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized by MICCAI 2013 are utilized for both training and testing. The designed multiscale CNNs framework also combines multimodal features from T1, T1-enhanced, T2, and FLAIR MRI images. By comparison with traditional CNNs and the best two methods in BRATS 2012 and 2013, our framework shows advances in brain tumor segmentation accuracy and robustness.

Modification by two genes of associations between general somatic health and incident depressive syndrome in older people.

PubMed

Kim, Jae-Min; Stewart, Robert; Kim, Sung-Wan; Yang, Su-Jin; Shin, Il-Seon; Yoon, Jin-Sang

2009-04-01

To investigate the modifying effects of two candidate genes (serotonin transporter gene linked promoter region (5-HTTLPR) and methylenetetrahydrofolate reductase (MTHFR) C677T polymorphisms) on the associations between general somatic morbidity and incidence of depression in an East Asian population with high frequencies of potential risk alleles. With a 2-year prospective study of a community sample (N = 521) of older people (aged 65+), information on baseline number of health complaints, diagnosis of moderate/severe depressive syndrome (Geriatric Mental State), and genotypes for 5-HTTLPR and MTHFR C677T polymorphisms were ascertained. Interactions between somatic morbidity and the two genotypes were investigated for incident depression. Incident depression was present in 63 (12%) and was associated with worse somatic health. Significant interactions between number of somatic complaints and both genotypes were observed. For the 5-HTTLPR genotypes, the association between the number of somatic disorders and depression was significant in s/s homozygotes (chi2 = 8.80 (1 df), p = .003) but not in heterozygotes (chi2 = 0.23, p = .634) or l/l homozygotes (chi2 = 0.04, p = .840). For the MTHFR genotypes, the association between the number of somatic disorders and depression was significant in T/T homozygotes (chi2 = 4.97, p = .026) but not in C/T heterozygotes (chi2 = 1.24, p = .265) or C/C homozygotes (chi2 = 1.04, p = .307). These findings suggest that associations between general somatic morbidity and late-life depression are modified by at least two genes, and that elders with particular genotypes are at greater risk for onset of depression in the presence of somatic ill health.

Depression Screening in Diabetes Care to Improve Outcomes: Are We Meeting the Challenge?

PubMed

Barnacle, Mykell; Strand, Mark A; Werremeyer, Amy; Maack, Brody; Petry, Natasha

2016-10-01

Evidence-based guidelines recommend regular depression screening among individuals with type 2 diabetes mellitus (T2DM). The purpose of this study is to examine depression screening patterns among a primary care population with T2DM, through use of the Patient Health Questionnaire-9 (PHQ-9). In total, 1817 patients with T2DM were analyzed through a retrospective observational study at 2 sites, a regional health center and a federally qualified health center (FQHC). The T2DM sample was divided into those with and without a major depressive disorder (MDD) diagnosis. Depression screening rates and depression severity were assessed through the PHQ-9. Both sites had higher rates of PHQ-9 screening among individuals with a history of MDD (64.82%) vs those without MDD (11.39%). Individuals from the FQHC without a history of depression had a higher mean PHQ-9 score (10.11) than those with a previous MDD diagnosis at both RHS and FQHC (7.16 and 9.85, respectively). Depression screening rates among individuals with diabetes and no history of MDD were remarkably low. Patients with diabetes but no MDD diagnosis who sought health care at a FQHC clinic had more depressive symptoms than those with a history of MDD at both sites. Individuals with diabetes and who have a MDD diagnosis are much more likely to receive regular depression screening than those without MDD, which leaves a substantial proportion of patients with undetected depression. Depression screening must be enhanced for all individuals with diabetes, particularly for low-income individuals and those without a previous diagnosis of MDD. © 2016 The Author(s).

ST segment/heart rate hysteresis improves the diagnostic accuracy of ECG stress test for coronary artery disease in patients with left ventricular hypertrophy.

PubMed

Zimarino, Marco; Montebello, Elena; Radico, Francesco; Gallina, Sabina; Perfetti, Matteo; Iachini Bellisarii, Francesco; Severi, Silva; Limbruno, Ugo; Emdin, Michele; De Caterina, Raffaele

2016-10-01

The exercise electrocardiographic stress test (ExET) is the most widely used non-invasive diagnostic method to detect coronary artery disease. However, the sole ST depression criteria (ST-max) have poor specificity for coronary artery disease in patients with left ventricular hypertrophy. We hypothesised that ST-segment depression/heart rate hysteresis, depicting the relative behaviour of ST segment depression during the exercise and recovery phase of the test might increase the diagnostic accuracy of ExET for coronary artery disease detection in such patients. In three cardiology centres, we studied 113 consecutive patients (mean age 66 ± 2 years; 88% men) with hypertension-related left ventricular hypertrophy at echocardiography, referred to coronary angiography after an ExET. The following ExET criteria were analysed: ST-max, chronotropic index, heart rate recovery, Duke treadmill score, ST-segment depression/heart rate hysteresis. We detected significant coronary artery disease at coronary angiography in 61 patients (53%). At receiver-operating characteristic analysis, ST-segment depression/heart rate hysteresis had the highest area under the curve value (0.75, P < 0.001 when compared with the 'neutral' receiver-operating characteristic curve value of 0.5). Area under the curve values were 0.68 (P < 0.01) for the chronotropic index, 0.58 (P = NS) for heart rate recovery, 0.57 (P = NS) for ST-max and 0.52 (P = NS) for the Duke treadmill score. Among currently available ExET diagnostic variables, ST-segment depression/heart rate hysteresis offers a substantially better diagnostic accuracy for coronary artery disease than conventional criteria in patients with hypertension-related left ventricular hypertrophy. © The European Society of Cardiology 2016.

Comparison of T1-weighted 2D TSE, 3D SPGR, and two-point 3D Dixon MRI for automated segmentation of visceral adipose tissue at 3 Tesla.

PubMed

Fallah, Faezeh; Machann, Jürgen; Martirosian, Petros; Bamberg, Fabian; Schick, Fritz; Yang, Bin

2017-04-01

To evaluate and compare conventional T1-weighted 2D turbo spin echo (TSE), T1-weighted 3D volumetric interpolated breath-hold examination (VIBE), and two-point 3D Dixon-VIBE sequences for automatic segmentation of visceral adipose tissue (VAT) volume at 3 Tesla by measuring and compensating for errors arising from intensity nonuniformity (INU) and partial volume effects (PVE). The body trunks of 28 volunteers with body mass index values ranging from 18 to 41.2 kg/m 2 (30.02 ± 6.63 kg/m 2 ) were scanned at 3 Tesla using three imaging techniques. Automatic methods were applied to reduce INU and PVE and to segment VAT. The automatically segmented VAT volumes obtained from all acquisitions were then statistically and objectively evaluated against the manually segmented (reference) VAT volumes. Comparing the reference volumes with the VAT volumes automatically segmented over the uncorrected images showed that INU led to an average relative volume difference of -59.22 ± 11.59, 2.21 ± 47.04, and -43.05 ± 5.01 % for the TSE, VIBE, and Dixon images, respectively, while PVE led to average differences of -34.85 ± 19.85, -15.13 ± 11.04, and -33.79 ± 20.38 %. After signal correction, differences of -2.72 ± 6.60, 34.02 ± 36.99, and -2.23 ± 7.58 % were obtained between the reference and the automatically segmented volumes. A paired-sample two-tailed t test revealed no significant difference between the reference and automatically segmented VAT volumes of the corrected TSE (p = 0.614) and Dixon (p = 0.969) images, but showed a significant VAT overestimation using the corrected VIBE images. Under similar imaging conditions and spatial resolution, automatically segmented VAT volumes obtained from the corrected TSE and Dixon images agreed with each other and with the reference volumes. These results demonstrate the efficacy of the signal correction methods and the similar accuracy of TSE and Dixon imaging for automatic volumetry of VAT at 3 Tesla.

SparCLeS: dynamic l₁ sparse classifiers with level sets for robust beard/moustache detection and segmentation.

PubMed

Le, T Hoang Ngan; Luu, Khoa; Savvides, Marios

2013-08-01

Robust facial hair detection and segmentation is a highly valued soft biometric attribute for carrying out forensic facial analysis. In this paper, we propose a novel and fully automatic system, called SparCLeS, for beard/moustache detection and segmentation in challenging facial images. SparCLeS uses the multiscale self-quotient (MSQ) algorithm to preprocess facial images and deal with illumination variation. Histogram of oriented gradients (HOG) features are extracted from the preprocessed images and a dynamic sparse classifier is built using these features to classify a facial region as either containing skin or facial hair. A level set based approach, which makes use of the advantages of both global and local information, is then used to segment the regions of a face containing facial hair. Experimental results demonstrate the effectiveness of our proposed system in detecting and segmenting facial hair regions in images drawn from three databases, i.e., the NIST Multiple Biometric Grand Challenge (MBGC) still face database, the NIST Color Facial Recognition Technology FERET database, and the Labeled Faces in the Wild (LFW) database.

Validation of automated white matter hyperintensity segmentation.

PubMed

Smart, Sean D; Firbank, Michael J; O'Brien, John T

2011-01-01

Introduction. White matter hyperintensities (WMHs) are a common finding on MRI scans of older people and are associated with vascular disease. We compared 3 methods for automatically segmenting WMHs from MRI scans. Method. An operator manually segmented WMHs on MRI images from a 3T scanner. The scans were also segmented in a fully automated fashion by three different programmes. The voxel overlap between manual and automated segmentation was compared. Results. Between observer overlap ratio was 63%. Using our previously described in-house software, we had overlap of 62.2%. We investigated the use of a modified version of SPM segmentation; however, this was not successful, with only 14% overlap. Discussion. Using our previously reported software, we demonstrated good segmentation of WMHs in a fully automated fashion.

Lightweight Combat Vehicle S&T Initiatives

DTIC Science & Technology

2015-08-01

1 U.S. ARMY TANK AUTOMOTIVE RESEARCH, DEVELOPMENT AND ENGINEERING CENTER Lightweight Combat Vehicle S &T Initiatives Dr. Richard Gerth Ground Systems...00-00-2015 to 00-00-2015 4. TITLE AND SUBTITLE Lightweight Combat Vehicle S &T Initiatives Global Automotive Lightweight Materials 2015 - August...18-20 2015 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR( S ) Richard Gerth 5d. PROJECT NUMBER 5e. TASK NUMBER 5f

Parental depressive symptoms, children’s emotional and behavioural problems, and parents’ expressed emotion—Critical and positive comments

PubMed Central

Parry, Elizabeth; Nath, Selina; Kallitsoglou, Angeliki; Russell, Ginny

2017-01-01

This longitudinal study examined whether mothers’ and fathers’ depressive symptoms predict, independently and interactively, children’s emotional and behavioural problems. It also examined bi-directional associations between parents’ expressed emotion constituents (parents’ child-directed positive and critical comments) and children’s emotional and behavioural problems. At time 1, the sample consisted of 160 families in which 50 mothers and 40 fathers had depression according to the Structured Clinical Interview for DSM-IV. Children’s mean age at Time 1 was 3.9 years (SD = 0.8). Families (n = 106) were followed up approximately 16 months later (Time 2). Expressed emotion constituents were assessed using the Preschool Five Minute Speech Sample. In total, 144 mothers and 158 fathers at Time 1 and 93 mothers and 105 fathers at Time 2 provided speech samples. Fathers’ depressive symptoms were concurrently associated with more child emotional problems when mothers had higher levels of depressive symptoms. When controlling for important confounders (children’s gender, baseline problems, mothers’ depressive symptoms and parents’ education and age), fathers’ depressive symptoms independently predicted higher levels of emotional and behavioural problems in their children over time. There was limited evidence for a bi-directional relationship between fathers’ positive comments and change in children’s behavioural problems over time. Unexpectedly, there were no bi-directional associations between parents’ critical comments and children’s outcomes. We conclude that the study provides evidence to support a whole family approach to prevention and intervention strategies for children’s mental health and parental depression. PMID:29045440

Adaptive segmentation of nuclei in H&S stained tendon microscopy

NASA Astrophysics Data System (ADS)

Chuang, Bo-I.; Wu, Po-Ting; Hsu, Jian-Han; Jou, I.-Ming; Su, Fong-Chin; Sun, Yung-Nien

2015-12-01

Tendiopathy is a popular clinical issue in recent years. In most cases like trigger finger or tennis elbow, the pathology change can be observed under H and E stained tendon microscopy. However, the qualitative analysis is too subjective and thus the results heavily depend on the observers. We develop an automatic segmentation procedure which segments and counts the nuclei in H and E stained tendon microscopy fast and precisely. This procedure first determines the complexity of images and then segments the nuclei from the image. For the complex images, the proposed method adopts sampling-based thresholding to segment the nuclei. While for the simple images, the Laplacian-based thresholding is employed to re-segment the nuclei more accurately. In the experiments, the proposed method is compared with the experts outlined results. The nuclei number of proposed method is closed to the experts counted, and the processing time of proposed method is much faster than the experts'.

Optimizing hippocampal segmentation in infants utilizing MRI post-acquisition processing.

PubMed

Thompson, Deanne K; Ahmadzai, Zohra M; Wood, Stephen J; Inder, Terrie E; Warfield, Simon K; Doyle, Lex W; Egan, Gary F

2012-04-01

This study aims to determine the most reliable method for infant hippocampal segmentation by comparing magnetic resonance (MR) imaging post-acquisition processing techniques: contrast to noise ratio (CNR) enhancement, or reformatting to standard orientation. MR scans were performed with a 1.5 T GE scanner to obtain dual echo T2 and proton density (PD) images at term equivalent (38-42 weeks' gestational age). 15 hippocampi were manually traced four times on ten infant images by 2 independent raters on the original T2 image, as well as images processed by: a) combining T2 and PD images (T2-PD) to enhance CNR; then b) reformatting T2-PD images perpendicular to the long axis of the left hippocampus. CNRs and intraclass correlation coefficients (ICC) were calculated. T2-PD images had 17% higher CNR (15.2) than T2 images (12.6). Original T2 volumes' ICC was 0.87 for rater 1 and 0.84 for rater 2, whereas T2-PD images' ICC was 0.95 for rater 1 and 0.87 for rater 2. Reliability of hippocampal segmentation on T2-PD images was not improved by reformatting images (rater 1 ICC = 0.88, rater 2 ICC = 0.66). Post-acquisition processing can improve CNR and hence reliability of hippocampal segmentation in neonate MR scans when tissue contrast is poor. These findings may be applied to enhance boundary definition in infant segmentation for various brain structures or in any volumetric study where image contrast is sub-optimal, enabling hippocampal structure-function relationships to be explored.

Segmental thoracic spinal has advantages over general anesthesia for breast cancer surgery.

PubMed

Elakany, Mohamed Hamdy; Abdelhamid, Sherif Ahmed

2013-01-01

Thoracic spinal anesthesia has been used for laparoscopic cholecystectomy and abdominal surgeries, but not in breast surgery. The present study compared this technique with general anesthesia in breast cancer surgeries. Forty patients were enrolled in this comparative study with inclusion criteria of ASA physical status I-III, primary breast cancer without known extension beyond the breast and axillary nodes, scheduled for unilateral mastectomy with axillary dissection. They were randomly divided into two groups. The thoracic spinal group (S) (n = 20) underwent segmental thoracic spinal anesthesia with bupivacaine and fentanyl at T5-T6 interspace, while the other group (n = 20) underwent general anesthesia (G). Intraoperative hemodynamic parameters, intraoperative complications, postoperative discharge time from post-anesthesia care unit (PACU), postoperative pain and analgesic consumption, postoperative adverse effects, and patient satisfaction with the anesthetic techniques were recorded. Intraoperative hypertension (20%) was more frequent in group (G), while hypotension and bradycardia (15%) were more frequent in the segmental thoracic spinal (S) group. Postoperative nausea (30%) and vomiting (40%) during PACU stay were more frequent in the (G) group. Postoperative discharge time from PACU was shorter in the (S) group (124 ± 38 min) than in the (G) group (212 ± 46 min). The quality of postoperative analgesia and analgesic consumption was better in the (S) group. Patient satisfaction was similar in both groups. Segmental thoracic spinal anesthesia has some advantages when compared with general anesthesia and can be considered as a sole anesthetic in breast cancer surgery with axillary lymph node clearance.

Segmental thoracic spinal has advantages over general anesthesia for breast cancer surgery

PubMed Central

Elakany, Mohamed Hamdy; Abdelhamid, Sherif Ahmed

2013-01-01

Background: Thoracic spinal anesthesia has been used for laparoscopic cholecystectomy and abdominal surgeries, but not in breast surgery. The present study compared this technique with general anesthesia in breast cancer surgeries. Materials and Methods: Forty patients were enrolled in this comparative study with inclusion criteria of ASA physical status I-III, primary breast cancer without known extension beyond the breast and axillary nodes, scheduled for unilateral mastectomy with axillary dissection. They were randomly divided into two groups. The thoracic spinal group (S) (n = 20) underwent segmental thoracic spinal anesthesia with bupivacaine and fentanyl at T5-T6 interspace, while the other group (n = 20) underwent general anesthesia (G). Intraoperative hemodynamic parameters, intraoperative complications, postoperative discharge time from post-anesthesia care unit (PACU), postoperative pain and analgesic consumption, postoperative adverse effects, and patient satisfaction with the anesthetic techniques were recorded. Results: Intraoperative hypertension (20%) was more frequent in group (G), while hypotension and bradycardia (15%) were more frequent in the segmental thoracic spinal (S) group. Postoperative nausea (30%) and vomiting (40%) during PACU stay were more frequent in the (G) group. Postoperative discharge time from PACU was shorter in the (S) group (124 ± 38 min) than in the (G) group (212 ± 46 min). The quality of postoperative analgesia and analgesic consumption was better in the (S) group. Patient satisfaction was similar in both groups. Conclusions: Segmental thoracic spinal anesthesia has some advantages when compared with general anesthesia and can be considered as a sole anesthetic in breast cancer surgery with axillary lymph node clearance. PMID:25885990

Are the QRS duration and ST depression cut-points from the Seattle criteria too conservative?

PubMed

Dunn, Tim; Abdelfattah, Ramy; Aggarwal, Sonya; Pickham, David; Hadley, David; Froelicher, Victor

2015-01-01

Screening athletes with ECGs is aimed at identifying "at-risk" individuals who may have a cardiac condition predisposing them to sudden cardiac death. The Seattle criteria highlight QRS duration greater than 140 ms and ST segment depression in two or more leads greater than 50 μV as two abnormal ECG patterns associated with sudden cardiac death. High school, college, and professional athletes underwent 12 lead ECGs as part of routine pre-participation physicals. Prevalence of prolonged QRS duration was measured using cut-points of 120, 125, 130, and 140 ms. ST segment depression was measured in all leads except leads III, aVR, and V1 with cut-points of 25 μV and 50 μV. Between June 2010 and November 2013, 1595 participants including 297 (167 male, mean age 16.2) high school athletes, 1016 (541 male, mean age 18.8) college athletes, and 282 (mean age 26.6) male professional athletes underwent screening with an ECG. Only 3 athletes (0.2%) had a QRS duration greater than 125 ms. ST segment depression in two or more leads greater than 50 μV was uncommon (0.8%), while the prevalence of ST segment depression in two or more leads increased to 4.5% with a cut-point of 25 μV. Changing the QRS duration cut-point to 125 ms would increase the sensitivity of the screening ECG, without a significant increase in false-positives. However, changing the ST segment depression cut-point to 25 μV would lead to a significant increase in false-positives and would therefore not be justified. Copyright © 2015 Elsevier Inc. All rights reserved.

Resource atlases for multi-atlas brain segmentations with multiple ontology levels based on T1-weighted MRI.

PubMed

Wu, Dan; Ma, Ting; Ceritoglu, Can; Li, Yue; Chotiyanonta, Jill; Hou, Zhipeng; Hsu, John; Xu, Xin; Brown, Timothy; Miller, Michael I; Mori, Susumu

2016-01-15

Technologies for multi-atlas brain segmentation of T1-weighted MRI images have rapidly progressed in recent years, with highly promising results. This approach, however, relies on a large number of atlases with accurate and consistent structural identifications. Here, we introduce our atlas inventories (n=90), which cover ages 4-82years with unique hierarchical structural definitions (286 structures at the finest level). This multi-atlas library resource provides the flexibility to choose appropriate atlases for various studies with different age ranges and structure-definition criteria. In this paper, we describe the details of the atlas resources and demonstrate the improved accuracy achievable with a dynamic age-matching approach, in which atlases that most closely match the subject's age are dynamically selected. The advanced atlas creation strategy, together with atlas pre-selection principles, is expected to support the further development of multi-atlas image segmentation. Copyright © 2015 Elsevier Inc. All rights reserved.

Predicting tDCS treatment outcomes of patients with major depressive disorder using automated EEG classification.

PubMed

Al-Kaysi, Alaa M; Al-Ani, Ahmed; Loo, Colleen K; Powell, Tamara Y; Martin, Donel M; Breakspear, Michael; Boonstra, Tjeerd W

2017-01-15

Transcranial direct current stimulation (tDCS) is a promising treatment for major depressive disorder (MDD). Standard tDCS treatment involves numerous sessions running over a few weeks. However, not all participants respond to this type of treatment. This study aims to investigate the feasibility of identifying MDD patients that respond to tDCS treatment based on resting-state electroencephalography (EEG) recorded prior to treatment commencing. We used machine learning to predict improvement in mood and cognition during tDCS treatment from baseline EEG power spectra. Ten participants with a current diagnosis of MDD were included. Power spectral density was assessed in five frequency bands: delta (0.5-4Hz), theta (4-8Hz), alpha (8-12Hz), beta (13-30Hz) and gamma (30-100Hz). Improvements in mood and cognition were assessed using the Montgomery-Åsberg Depression Rating Scale and Symbol Digit Modalities Test, respectively. We trained the classifiers using three algorithms (support vector machine, extreme learning machine and linear discriminant analysis) and a leave-one-out cross-validation approach. Mood labels were accurately predicted in 8 out of 10 participants using EEG channels FC4-AF8 (accuracy=76%, p=0.034). Cognition labels were accurately predicted in 10 out of 10 participants using channels pair CPz-CP2 (accuracy=92%, p=0.004). Due to the limited number of participants (n=10), the presented results mainly aim to serve as a proof of concept. These finding demonstrate the feasibility of using machine learning to identify patients that will respond to tDCS treatment. These promising results warrant a larger study to determine the clinical utility of this approach. Copyright © 2016 Elsevier B.V. All rights reserved.

Maternal Coping and Depressive Symptoms as Predictors of Mother–Child Communication About a Child’s Cancer

PubMed Central

Murphy, Lexa; Vannatta, Kathryn; Gerhardt, Cynthia A.; Young-Saleme, Tammi; Saylor, Megan; Bemis, Heather; Desjardins, Leandra; Dunn, Madeleine J.; Compas, Bruce E.

2016-01-01

Objective This study sought to identify possible associations between maternal coping and depression and subsequent mother–child communication about cancer following the child’s diagnosis. Method Mothers (N = 100) reported on coping and depressive symptoms shortly after the child’s diagnosis (M = 1.9 months). Subsequently, we observed children (age 5–17 years; M = 10.2 years; 48% female; 81% White) and mothers discussing cancer and coded maternal communication. Results Higher primary and secondary control coping, and lower depressive symptoms, were generally correlated with more positive, and less harsh and withdrawn communication. In regression models, higher primary control coping (i.e., coping efforts to change the stressor or one’s emotional reaction to the stressor) independently predicted less withdrawn communication, and depressive symptoms mediated relations between coping and harsh communication. Conclusions Maternal primary control coping and depressive symptoms predict mothers’ subsequent harsh and withdrawn communication about cancer. PMID:26609183

Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation.

PubMed

Bobo, Meg F; Bao, Shunxing; Huo, Yuankai; Yao, Yuang; Virostko, Jack; Plassard, Andrew J; Lyu, Ilwoo; Assad, Albert; Abramson, Richard G; Hilmes, Melissa A; Landman, Bennett A

2018-03-01

Abdominal image segmentation is a challenging, yet important clinical problem. Variations in body size, position, and relative organ positions greatly complicate the segmentation process. Historically, multi-atlas methods have achieved leading results across imaging modalities and anatomical targets. However, deep learning is rapidly overtaking classical approaches for image segmentation. Recently, Zhou et al. showed that fully convolutional networks produce excellent results in abdominal organ segmentation of computed tomography (CT) scans. Yet, deep learning approaches have not been applied to whole abdomen magnetic resonance imaging (MRI) segmentation. Herein, we evaluate the applicability of an existing fully convolutional neural network (FCNN) designed for CT imaging to segment abdominal organs on T2 weighted (T2w) MRI's with two examples. In the primary example, we compare a classical multi-atlas approach with FCNN on forty-five T2w MRI's acquired from splenomegaly patients with five organs labeled (liver, spleen, left kidney, right kidney, and stomach). Thirty-six images were used for training while nine were used for testing. The FCNN resulted in a Dice similarity coefficient (DSC) of 0.930 in spleens, 0.730 in left kidneys, 0.780 in right kidneys, 0.913 in livers, and 0.556 in stomachs. The performance measures for livers, spleens, right kidneys, and stomachs were significantly better than multi-atlas (p < 0.05, Wilcoxon rank-sum test). In a secondary example, we compare the multi-atlas approach with FCNN on 138 distinct T2w MRI's with manually labeled pancreases (one label). On the pancreas dataset, the FCNN resulted in a median DSC of 0.691 in pancreases versus 0.287 for multi-atlas. The results are highly promising given relatively limited training data and without specific training of the FCNN model and illustrate the potential of deep learning approaches to transcend imaging modalities.

Fully convolutional neural networks improve abdominal organ segmentation

NASA Astrophysics Data System (ADS)

Bobo, Meg F.; Bao, Shunxing; Huo, Yuankai; Yao, Yuang; Virostko, Jack; Plassard, Andrew J.; Lyu, Ilwoo; Assad, Albert; Abramson, Richard G.; Hilmes, Melissa A.; Landman, Bennett A.

2018-03-01

Abdominal image segmentation is a challenging, yet important clinical problem. Variations in body size, position, and relative organ positions greatly complicate the segmentation process. Historically, multi-atlas methods have achieved leading results across imaging modalities and anatomical targets. However, deep learning is rapidly overtaking classical approaches for image segmentation. Recently, Zhou et al. showed that fully convolutional networks produce excellent results in abdominal organ segmentation of computed tomography (CT) scans. Yet, deep learning approaches have not been applied to whole abdomen magnetic resonance imaging (MRI) segmentation. Herein, we evaluate the applicability of an existing fully convolutional neural network (FCNN) designed for CT imaging to segment abdominal organs on T2 weighted (T2w) MRI's with two examples. In the primary example, we compare a classical multi-atlas approach with FCNN on forty-five T2w MRI's acquired from splenomegaly patients with five organs labeled (liver, spleen, left kidney, right kidney, and stomach). Thirty-six images were used for training while nine were used for testing. The FCNN resulted in a Dice similarity coefficient (DSC) of 0.930 in spleens, 0.730 in left kidneys, 0.780 in right kidneys, 0.913 in livers, and 0.556 in stomachs. The performance measures for livers, spleens, right kidneys, and stomachs were significantly better than multi-atlas (p < 0.05, Wilcoxon rank-sum test). In a secondary example, we compare the multi-atlas approach with FCNN on 138 distinct T2w MRI's with manually labeled pancreases (one label). On the pancreas dataset, the FCNN resulted in a median DSC of 0.691 in pancreases versus 0.287 for multi-atlas. The results are highly promising given relatively limited training data and without specific training of the FCNN model and illustrate the potential of deep learning approaches to transcend imaging modalities. 1

State of the Science: Depression and Type 2 Diabetes

PubMed Central

Penckofer, Sue; Doyle, Todd; Byrn, Mary; Lustman, Patrick J.

2014-01-01

Depression is a significant comorbid condition in diabetes. Individuals with type 2 diabetes (T2DM) are 2 times more likely to experience depression or elevated depressive symptoms compared to those without T2DM. The aims of this state of the science review were to summarize the putative links between diabetes and depression and review empirically supported treatments of depression in diabetes. Findings suggest that a bidirectional association between depression and T2DM exists and that several biological and psychosocial mediators underlie these conditions. Available data indicate that conventional treatments (antidepressant medication, cognitive behavioral therapy, and collaborative care) reduce depression and symptoms of depression; however more controlled studies and development of novel therapies are needed. Glycemic outcomes have most frequently been examined, but findings have been mixed. Self-care and adherence outcomes have been less well studied. Emerging evidence suggests that these outcomes may be important targets for future depression research in T2DM. PMID:24577866

Multi-color space threshold segmentation and self-learning k-NN algorithm for surge test EUT status identification

NASA Astrophysics Data System (ADS)

Huang, Jian; Liu, Gui-xiong

2016-09-01

The identification of targets varies in different surge tests. A multi-color space threshold segmentation and self-learning k-nearest neighbor algorithm ( k-NN) for equipment under test status identification was proposed after using feature matching to identify equipment status had to train new patterns every time before testing. First, color space (L*a*b*, hue saturation lightness (HSL), hue saturation value (HSV)) to segment was selected according to the high luminance points ratio and white luminance points ratio of the image. Second, the unknown class sample S r was classified by the k-NN algorithm with training set T z according to the feature vector, which was formed from number of pixels, eccentricity ratio, compactness ratio, and Euler's numbers. Last, while the classification confidence coefficient equaled k, made S r as one sample of pre-training set T z '. The training set T z increased to T z+1 by T z ' if T z ' was saturated. In nine series of illuminant, indicator light, screen, and disturbances samples (a total of 21600 frames), the algorithm had a 98.65%identification accuracy, also selected five groups of samples to enlarge the training set from T 0 to T 5 by itself.

The L, M, and S Segments of Rift Valley Fever Virus MP-12 Vaccine Independently Contribute to a Temperature-Sensitive Phenotype

PubMed Central

Nishiyama, Shoko; Lokugamage, Nandadeva

2016-01-01

ABSTRACT Rift Valley fever (RVF) is endemic to Africa, and the mosquito-borne disease is characterized by “abortion storms” in ruminants and by hemorrhagic fever, encephalitis, and blindness in humans. Rift Valley fever virus (RVFV; family Bunyaviridae, genus Phlebovirus) has a tripartite negative-stranded RNA genome (L, M, and S segments). A live-attenuated vaccine for RVF, the MP-12 vaccine, is conditionally licensed for veterinary use in the United States. MP-12 is fully attenuated by the combination of the partially attenuated L, M, and S segments. Temperature sensitivity (ts) limits viral replication at a restrictive temperature and may be involved with viral attenuation. In this study, we aimed to characterize the ts mutations for MP-12. The MP-12 vaccine showed restricted replication at 38°C and replication shutoff (100-fold or greater reduction in virus titer compared to that at 37°C) at 39°C in Vero and MRC-5 cells. Using rZH501 reassortants with either the MP-12 L, M, or S segment, we found that all three segments encode a temperature-sensitive phenotype. However, the ts phenotype of the S segment was weaker than that of the M or L segment. We identified Gn-Y259H, Gc-R1182G, L-V172A, and L-M1244I as major ts mutations for MP-12. The ts mutations in the L segment decreased viral RNA synthesis, while those in the M segment delayed progeny production from infected cells. We also found that a lack of NSs and/or 78kD/NSm protein expression minimally affected the ts phenotype. Our study revealed that MP-12 is a unique vaccine carrying ts mutations in the L, M, and S segments. IMPORTANCE Rift Valley fever (RVF) is a mosquito-borne viral disease endemic to Africa, characterized by high rates of abortion in ruminants and severe diseases in humans. Vaccination is important to prevent the spread of disease, and a live-attenuated MP-12 vaccine is currently the only vaccine with a conditional license in the United States. This study determined the temperature

The L, M, and S Segments of Rift Valley Fever Virus MP-12 Vaccine Independently Contribute to a Temperature-Sensitive Phenotype.

PubMed

Nishiyama, Shoko; Lokugamage, Nandadeva; Ikegami, Tetsuro

2016-01-27

Rift Valley fever (RVF) is endemic to Africa, and the mosquito-borne disease is characterized by "abortion storms" in ruminants and by hemorrhagic fever, encephalitis, and blindness in humans. Rift Valley fever virus (RVFV; family Bunyaviridae, genus Phlebovirus) has a tripartite negative-stranded RNA genome (L, M, and S segments). A live-attenuated vaccine for RVF, the MP-12 vaccine, is conditionally licensed for veterinary use in the United States. MP-12 is fully attenuated by the combination of the partially attenuated L, M, and S segments. Temperature sensitivity (ts) limits viral replication at a restrictive temperature and may be involved with viral attenuation. In this study, we aimed to characterize the ts mutations for MP-12. The MP-12 vaccine showed restricted replication at 38°C and replication shutoff (100-fold or greater reduction in virus titer compared to that at 37°C) at 39°C in Vero and MRC-5 cells. Using rZH501 reassortants with either the MP-12 L, M, or S segment, we found that all three segments encode a temperature-sensitive phenotype. However, the ts phenotype of the S segment was weaker than that of the M or L segment. We identified Gn-Y259H, Gc-R1182G, L-V172A, and L-M1244I as major ts mutations for MP-12. The ts mutations in the L segment decreased viral RNA synthesis, while those in the M segment delayed progeny production from infected cells. We also found that a lack of NSs and/or 78kD/NSm protein expression minimally affected the ts phenotype. Our study revealed that MP-12 is a unique vaccine carrying ts mutations in the L, M, and S segments. Rift Valley fever (RVF) is a mosquito-borne viral disease endemic to Africa, characterized by high rates of abortion in ruminants and severe diseases in humans. Vaccination is important to prevent the spread of disease, and a live-attenuated MP-12 vaccine is currently the only vaccine with a conditional license in the United States. This study determined the temperature sensitivity (ts) of MP-12

Validation of Automated White Matter Hyperintensity Segmentation

PubMed Central

Smart, Sean D.; Firbank, Michael J.; O'Brien, John T.

2011-01-01

Introduction. White matter hyperintensities (WMHs) are a common finding on MRI scans of older people and are associated with vascular disease. We compared 3 methods for automatically segmenting WMHs from MRI scans. Method. An operator manually segmented WMHs on MRI images from a 3T scanner. The scans were also segmented in a fully automated fashion by three different programmes. The voxel overlap between manual and automated segmentation was compared. Results. Between observer overlap ratio was 63%. Using our previously described in-house software, we had overlap of 62.2%. We investigated the use of a modified version of SPM segmentation; however, this was not successful, with only 14% overlap. Discussion. Using our previously reported software, we demonstrated good segmentation of WMHs in a fully automated fashion. PMID:21904678

Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging.

PubMed

Anbeek, Petronella; Vincken, Koen L; Groenendaal, Floris; Koeman, Annemieke; van Osch, Matthias J P; van der Grond, Jeroen

2008-02-01

A fully automated method has been developed for segmentation of four different structures in the neonatal brain: white matter (WM), central gray matter (CEGM), cortical gray matter (COGM), and cerebrospinal fluid (CSF). The segmentation algorithm is based on information from T2-weighted (T2-w) and inversion recovery (IR) scans. The method uses a K nearest neighbor (KNN) classification technique with features derived from spatial information and voxel intensities. Probabilistic segmentations of each tissue type were generated. By applying thresholds on these probability maps, binary segmentations were obtained. These final segmentations were evaluated by comparison with a gold standard. The sensitivity, specificity, and Dice similarity index (SI) were calculated for quantitative validation of the results. High sensitivity and specificity with respect to the gold standard were reached: sensitivity >0.82 and specificity >0.9 for all tissue types. Tissue volumes were calculated from the binary and probabilistic segmentations. The probabilistic segmentation volumes of all tissue types accurately estimated the gold standard volumes. The KNN approach offers valuable ways for neonatal brain segmentation. The probabilistic outcomes provide a useful tool for accurate volume measurements. The described method is based on routine diagnostic magnetic resonance imaging (MRI) and is suitable for large population studies.

Automatic segmentation and reconstruction of the cortex from neonatal MRI.

PubMed

Xue, Hui; Srinivasan, Latha; Jiang, Shuzhou; Rutherford, Mary; Edwards, A David; Rueckert, Daniel; Hajnal, Joseph V

2007-11-15

Segmentation and reconstruction of cortical surfaces from magnetic resonance (MR) images are more challenging for developing neonates than adults. This is mainly due to the dynamic changes in the contrast between gray matter (GM) and white matter (WM) in both T1- and T2-weighted images (T1w and T2w) during brain maturation. In particular in neonatal T2w images WM typically has higher signal intensity than GM. This causes mislabeled voxels during cortical segmentation, especially in the cortical regions of the brain and in particular at the interface between GM and cerebrospinal fluid (CSF). We propose an automatic segmentation algorithm detecting these mislabeled voxels and correcting errors caused by partial volume effects. Our results show that the proposed algorithm corrects errors in the segmentation of both GM and WM compared to the classic expectation maximization (EM) scheme. Quantitative validation against manual segmentation demonstrates good performance (the mean Dice value: 0.758+/-0.037 for GM and 0.794+/-0.078 for WM). The inner, central and outer cortical surfaces are then reconstructed using implicit surface evolution. A landmark study is performed to verify the accuracy of the reconstructed cortex (the mean surface reconstruction error: 0.73 mm for inner surface and 0.63 mm for the outer). Both segmentation and reconstruction have been tested on 25 neonates with the gestational ages ranging from approximately 27 to 45 weeks. This preliminary analysis confirms previous findings that cortical surface area and curvature increase with age, and that surface area scales to cerebral volume according to a power law, while cortical thickness is not related to age or brain growth.

Segmentation And Quantification Of Black Holes In Multiple Sclerosis

PubMed Central

Datta, Sushmita; Sajja, Balasrinivasa Rao; He, Renjie; Wolinsky, Jerry S.; Gupta, Rakesh K.; Narayana, Ponnada A.

2006-01-01

A technique that involves minimal operator intervention was developed and implemented for identification and quantification of black holes on T1- weighted magnetic resonance images (T1 images) in multiple sclerosis (MS). Black holes were segmented on T1 images based on grayscale morphological operations. False classification of black holes was minimized by masking the segmented images with images obtained from the orthogonalization of T2-weighted and T1 images. Enhancing lesion voxels on postcontrast images were automatically identified and eliminated from being included in the black hole volume. Fuzzy connectivity was used for the delineation of black holes. The performance of this algorithm was quantitatively evaluated on 14 MS patients. PMID:16126416

Conscientiousness Moderates the Relationship Between Perceived Stress and Depressive Symptoms Among U.S. Chinese Older Adults.

PubMed

Chen, Yiwei; Peng, Yisheng; Ma, Xiaodong; Dong, Xinqi

2017-07-01

The present study examined whether individuals' personality traits, Neuroticism and Conscientiousness, moderated the relationship between perceived stress and depressive symptoms among U.S. Chinese older adults. Data analysis was based on the Population Study of Chinese Elderly in Chicago (PINE). Three thousand one hundred and fifty-nine Chinese adults aged 60 years and older participated in the PINE study. They completed scales that assessed their personality (ie, Neuroticism and Conscientiousness of the NEO Five-Factor Inventory), perceived stress (the Chinese Perceived Stress Scale), and depressive symptoms (the Patient Health Questionnaire). Perceived stress was positively related to depressive symptoms among U.S. Chinese older adults. No moderation effects were found for Neuroticism. Conscientiousness significantly moderated the perceived stress-depressive symptom relationship. The positive relationship between perceived stress and depressive symptoms was weaker for people who were higher in Conscientiousness than those who were lower in Conscientiousness. Conscientiousness mitigated the stress-depressive symptom relationship among U.S. Chinese older adults. Future research is needed to identify the psychological and sociocultural profiles of individuals who show stress resilience and those who are vulnerable. Social services and psychological interventions are needed to promote health and well-being among U.S. Chinese older adults. © The Author 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.

PubMed

Nie, Jingxin; Xue, Zhong; Liu, Tianming; Young, Geoffrey S; Setayesh, Kian; Guo, Lei; Wong, Stephen T C

2009-09-01

A variety of algorithms have been proposed for brain tumor segmentation from multi-channel sequences, however, most of them require isotropic or pseudo-isotropic resolution of the MR images. Although co-registration and interpolation of low-resolution sequences, such as T2-weighted images, onto the space of the high-resolution image, such as T1-weighted image, can be performed prior to the segmentation, the results are usually limited by partial volume effects due to interpolation of low-resolution images. To improve the quality of tumor segmentation in clinical applications where low-resolution sequences are commonly used together with high-resolution images, we propose the algorithm based on Spatial accuracy-weighted Hidden Markov random field and Expectation maximization (SHE) approach for both automated tumor and enhanced-tumor segmentation. SHE incorporates the spatial interpolation accuracy of low-resolution images into the optimization procedure of the Hidden Markov Random Field (HMRF) to segment tumor using multi-channel MR images with different resolutions, e.g., high-resolution T1-weighted and low-resolution T2-weighted images. In experiments, we evaluated this algorithm using a set of simulated multi-channel brain MR images with known ground-truth tissue segmentation and also applied it to a dataset of MR images obtained during clinical trials of brain tumor chemotherapy. The results show that more accurate tumor segmentation results can be obtained by comparing with conventional multi-channel segmentation algorithms.

Depressive symptoms in youth with type 1 or type 2 diabetes: Results of the Pediatric Diabetes Consortium screening assessment of depression in diabetes study

USDA-ARS?s Scientific Manuscript database

To evaluate the frequency of depressive symptoms and the diagnosis and management of depression in youth with type 1 diabetes (T1D) and type 2 diabetes (T2D) enrolled in the Pediatric Diabetes Consortium T1D and T2D registries. The Children's Depression Inventory (CDI) 2 Self-Report (Short) version ...

Reproducibility of myelin content-based human habenula segmentation at 3 Tesla.

PubMed

Kim, Joo-Won; Naidich, Thomas P; Joseph, Joshmi; Nair, Divya; Glasser, Matthew F; O'halloran, Rafael; Doucet, Gaelle E; Lee, Won Hee; Krinsky, Hannah; Paulino, Alejandro; Glahn, David C; Anticevic, Alan; Frangou, Sophia; Xu, Junqian

2018-03-26

In vivo morphological study of the human habenula, a pair of small epithalamic nuclei adjacent to the dorsomedial thalamus, has recently gained significant interest for its role in reward and aversion processing. However, segmenting the habenula from in vivo magnetic resonance imaging (MRI) is challenging due to the habenula's small size and low anatomical contrast. Although manual and semi-automated habenula segmentation methods have been reported, the test-retest reproducibility of the segmented habenula volume and the consistency of the boundaries of habenula segmentation have not been investigated. In this study, we evaluated the intra- and inter-site reproducibility of in vivo human habenula segmentation from 3T MRI (0.7-0.8 mm isotropic resolution) using our previously proposed semi-automated myelin contrast-based method and its fully-automated version, as well as a previously published manual geometry-based method. The habenula segmentation using our semi-automated method showed consistent boundary definition (high Dice coefficient, low mean distance, and moderate Hausdorff distance) and reproducible volume measurement (low coefficient of variation). Furthermore, the habenula boundary in our semi-automated segmentation from 3T MRI agreed well with that in the manual segmentation from 7T MRI (0.5 mm isotropic resolution) of the same subjects. Overall, our proposed semi-automated habenula segmentation showed reliable and reproducible habenula localization, while its fully-automated version offers an efficient way for large sample analysis. © 2018 Wiley Periodicals, Inc.

Lack of association between Toxoplasma gondii exposure and depression in pregnant women: a case-control study.

PubMed

Alvarado-Esquivel, Cosme; Martínez-Martínez, Ana Liliana; Sánchez-Anguiano, Luis Francisco; Hernández-Tinoco, Jesús; Castillo-Orona, Juan Manuel; Salas-Martínez, Carlos; Sifuentes-Álvarez, Antonio; Sandoval-Carrillo, Ada Agustina; Salas-Pacheco, José M; Liesenfeld, Oliver; Antuna-Salcido, Elizabeth Irasema

2017-03-06

Very little is known about the link of T. gondii infection and depression. Through an age-, gender-, and month of pregnancy-matched case-control study, we determined the association of T. gondii infection and depression in pregnant women. We studied 200 pregnant women with depression and 200 pregnant women without depression attended in a public hospital in Durango City, Mexico. Pregnant women were tested for the presence of anti-Toxoplasma IgG antibodies using an enzyme-linked immunoassay (EIA), and IgG seropositive women were further tested for the presence of IgM using an EIA. IgM positivity by EIA was further analyzed by enzyme-linked fluorescence assay (ELFA). Anti-T. gondii IgG antibodies were found in 9 (4.5%) of the 200 cases and in 12 (6.0%) of the 200 controls (OR = 0.73; 95% CI: 0.30-1.79; P = 0.50). The frequency of high (>150 IU/ml) anti-T. gondii IgG levels was similar in cases and in controls (OR = 1.20; 95% CI: 0.36-4.01; P = 0.75). Two women were positive for IgM by EIA but both were negative by ELFA. We did not find serological evidence of an association between T. gondii infection and depression in pregnant women attended in a public hospital in Durango City, Mexico. Since an association of T. gondii and depression in pregnancy has been reported in the U.S. previously, further research to elucidate the role of T. gondii in prenatal depression should be conducted.

Regulatory T Cells As Supporters of Psychoimmune Resilience: Toward Immunotherapy of Major Depressive Disorder

PubMed Central

Ellul, Pierre; Mariotti-Ferrandiz, Encarnita; Leboyer, Marion; Klatzmann, David

2018-01-01

There is growing evidence that inflammation plays a role in major depressive disorder (MDD). As the main role of regulatory T cells (Tregs) is to control inflammation, this might denote a Treg insufficiency in MDD. However, neither a qualitative nor a quantitative defect of Tregs has been ascertained and no causality direction between inflammation and depression has been established. Here, after reviewing the evidence supporting a relation between Treg insufficiency and MDD, we conclude that a novel therapeutic approach based on Treg stimulation could be valuable in at least the subset of patients with inflammatory MDD. Low-dose interleukin-2 appears to be a good candidate as it is not only a safe stimulator of Tregs in humans but also an inhibitor of pro-inflammatory Th17 lymphocytes. Here, we discuss that a thorough immune investigation as well as immunotherapy will be heuristic for deciphering the pathophysiology of MDD. PMID:29615964

Symptoms of prenatal depression are associated with raised salivary alpha-amylase levels.

PubMed

Braithwaite, Elizabeth C; Ramchandani, Paul G; Lane, Tracy A; Murphy, Susannah E

2015-10-01

Prenatal depression increases risk for a number of adverse offspring outcomes, however the biological mechanisms underlying this association remain unclear. It has been suggested that maternal glucocorticoids may mediate this link, though supporting evidence has been mixed. An alternative mechanism of effect may be via depression-induced changes in maternal sympathetic nervous system (SNS) function. We examined this hypothesis by determining the relationship between symptoms of maternal prenatal depression and diurnal salivary alpha-amylase (sAA) levels. 76 pregnant women were recruited during either the second or third trimester of pregnancy. Participants self-reported depressive symptoms using the Edinburgh postnatal depression scale. Saliva samples, to be assayed for alpha-amylase activity, were collected at home over two working days. Participants with depressive symptoms in later pregnancy had elevated awakening sAA levels compared with non-depressed controls (t(73) = -2.737, p = 0.008), and continued to have raised sAA throughout the day (F(1) = 10.924, p = 0.002). Our findings highlight that symptoms of depression during late pregnancy are associated with increased maternal SNS activity. Thus, changes in maternal SNS function, which may include increased vasoconstriction and reduced foetal blood flow, could, in part, mediate associations between prenatal depression and adverse offspring outcomes. Copyright © 2015 Elsevier Ltd. All rights reserved.

Anger attacks in bipolar versus recurrent depression.

PubMed

Grover, Sandeep; Painuly, Nitesh; Gupta, Nitin; Mattoo, Surendra K

2011-01-01

Research on anger attacks has been mostly limited to unipolar depression, and only a few studies have focused on anger attacks in bipolar depression. In a cross-sectional study, 22 subjects with bipolar depression were compared to 22 subjects with recurrent unipolar depression using an anger attack questionnaire, irritability, depression and anxiety scale and quality of life scale. Anger attacks were present in 62.5% subjects with recurrent depression (RDD group) compared to 54.5% in subjects with bipolar depression (BD group), but the difference between the groups was not statistically significant. Also, there was no significant difference between the RDD and BD groups on the Irritability Depression and Anxiety Scale and WHOQOL-Bref except that the BD group had a poorer quality of life (QOL) compared to the RDD group in the social relationship domain (t=-2.30, p<0.05). In the BD group, the subjects with anger attacks were older (t=2.77, p<0.05), had significantly higher scores on the Irritability-Outwards component of IDA (t=3.90, p<0.01) and shorter duration of illness (Mann Whitney Signed ranked value 20.00, p<0.01) and duration of treatment (Mann Whitney Signed ranked value 28.00, p<0.05) compared to BD group members without anger attacks. In the RDD group, the subjects with anger attacks had poor QOL in the social domain (t= -2.12, p<0.05), environmental domain (t=2.99, p=.01) and total (t=2.56, p<0.05) QOL compared to those without anger attacks. Anger attacks are equally prevalent in unipolar and bipolar depression, are not influenced by sociodemographic and clinical variables, and lead to comparable impact on the subjective QOL in both groups.

The Role of Self-Esteem in Depression: A Longitudinal Study.

PubMed

Hilbert, Sven; Goerigk, Stephan; Padberg, Frank; Nadjiri, Annekatrin; Übleis, Aline; Jobst, Andrea; Dewald-Kaufmann, Julia; Falkai, Peter; Bühner, Markus; Naumann, Felix; Sarubin, Nina

2018-04-25

Based on the vulnerability model, several studies indicate that low self-esteem seems to contribute to depressive symptoms. The aim of this study was to treat depressive symptoms in a cognitive behavioural group therapy, focusing on the enhancement of self-esteem, and to explore co-variation in depressive symptoms and the level of self-esteem. The Multidimensional Self-esteem Scale (MSWS) and the Beck Depression Inventory (BDI) were administered to 147 psychiatric in-patients with current depressive symptoms due to an affective disorder (major depression, bipolar I, dysthymia). Self-esteem was measured pre-treatment (t0) and post-treatment (t4, after 5 weeks of eight group sessions); the BDI was applied weekly. A linear mixed growth analysis was conducted to estimate the change in depressive symptoms including interactions with self-esteem. Within the 5 weeks of group therapy, depressive symptoms showed a linear decline, which was stronger for patients with higher gains in self-esteem between t0 and t4. Self-esteem at t0 was unrelated to the change in depression but predicted self-esteem at t4. Treating depressive symptoms in a cognitive behavioural group therapy in a naturalistic setting might have a positive effect on the process of recovery. Moreover, depressive symptoms and level of self-esteem seemed to co-vary.

Segmented ion thruster

NASA Technical Reports Server (NTRS)

Brophy, John R. (Inventor)

1993-01-01

Apparatus and methods for large-area, high-power ion engines comprise dividing a single engine into a combination of smaller discharge chambers (or segments) configured to operate as a single large-area engine. This segmented ion thruster (SIT) approach enables the development of 100-kW class argon ion engines for operation at a specific impulse of 10,000 s. A combination of six 30-cm diameter ion chambers operating as a single engine can process over 100 kW. Such a segmented ion engine can be operated from a single power processor unit.

Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images.

PubMed

Qiu, Wu; Yuan, Jing; Ukwatta, Eranga; Sun, Yue; Rajchl, Martin; Fenster, Aaron

2014-04-01

We propose a novel global optimization-based approach to segmentation of 3-D prostate transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing inherent axial symmetry of prostate shapes to simultaneously adjust a series of 2-D slice-wise segmentations in a "global" 3-D sense. We show that the introduced challenging combinatorial optimization problem can be solved globally and exactly by means of convex relaxation. In this regard, we propose a novel coherent continuous max-flow model (CCMFM), which derives a new and efficient duality-based algorithm, leading to a GPU-based implementation to achieve high computational speeds. Experiments with 25 3-D TRUS images and 30 3-D T2w MR images from our dataset, and 50 3-D T2w MR images from a public dataset, demonstrate that the proposed approach can segment a 3-D prostate TRUS/MR image within 5-6 s including 4-5 s for initialization, yielding a mean Dice similarity coefficient of 93.2%±2.0% for 3-D TRUS images and 88.5%±3.5% for 3-D MR images. The proposed method also yields relatively low intra- and inter-observer variability introduced by user manual initialization, suggesting a high reproducibility, independent of observers.

Rational Pharmacological Approaches for Cognitive Dysfunction and Depression in Parkinson’s Disease

PubMed Central

Sandoval-Rincón, Maritza; Sáenz-Farret, Michel; Miguel-Puga, Adán; Micheli, Federico; Arias-Carrión, Oscar

2015-01-01

Parkinson’s disease (PD) is not a single entity but rather a heterogeneous neurodegenerative disorder. The present study aims to conduct a critical systematic review of the literature to describe the main pharmacological strategies to treat cognitive dysfunction and major depressive disorder in PD patients. We performed a search of articles cited in PubMed from 2004 to 2014 using the following MeSH terms (Medical subject headings) “Parkinson disease”; “Delirium,” “Dementia,” “Amnestic,” “Cognitive disorders,” and “Parkinson disease”; “depression,” “major depressive disorder,” “drug therapy.” We found a total of 71 studies related to pharmacological treatment in cognitive dysfunction and 279 studies for pharmacological treatment in major depressive disorder. After fulfillment of all the inclusion and exclusion criteria, 13 articles remained for cognitive dysfunction and 11 for major depressive disorder, which are presented and discussed in this study. Further research into non-motor symptoms of PD may provide insights into mechanisms of neurodegeneration, and provide better quality of life by using rational drugs. PMID:25873910

Compatibility of segmented thermoelectric generators

NASA Technical Reports Server (NTRS)

Snyder, J.; Ursell, T.

2002-01-01

It is well known that power generation efficiency improves when materials with appropriate properties are combined either in a cascaded or segmented fashion across a temperature gradient. Past methods for determining materials used in segmentation weremainly concerned with materials that have the highest figure of merit in the temperature range. However, the example of SiGe segmented with Bi2Te3 and/or various skutterudites shows a marked decline in device efficiency even though SiGe has the highest figure of merit in the temperature range. The origin of the incompatibility of SiGe with other thermoelectric materials leads to a general definition of compatibility and intrinsic efficiency. The compatibility factor derived as = (Jl+zr - 1) a is a function of only intrinsic material properties and temperature, which is represented by a ratio of current to conduction heat. For maximum efficiency the compatibility factor should not change with temperature both within a single material, and in the segmented leg as a whole. This leads to a measure of compatibility not only between segments, but also within a segment. General temperature trends show that materials are more self compatible at higher temperatures, and segmentation is more difficult across a larger -T. The compatibility factor can be used as a quantitative guide for deciding whether a material is better suited for segmentation orcascading. Analysis of compatibility factors and intrinsic efficiency for optimal segmentation are discussed, with intent to predict optimal material properties, temperature interfaces, and/or currentheat ratios.

Clinical variables associated with depression in patients with type 2 diabetes.

PubMed

Ferreira, Mari Cassol; Piaia, Camila; Cadore, Ana Carolina; Antoniolli, Marinez Amabile; Gamborgi, Geni Portela; Oliveira, Patrícia Pereira de

2015-08-01

the aim of the study was to evaluate the relationship between type 2 diabetes (T2DM), depression and depressive symptoms and their clinical impact on T2DM. the authors evaluated 214 outpatients, 105 with diabetes (T2DM group) and 109 non-diabetics (control group), with ages ranging between 50 and 75 years (T2DM group 65.1 ± 5.6 years, control group 63.4 ± 5.8 years). Use of antidepressant treatment or score ≥ 16 on the Beck depression inventory (BDI) was considered depression. Complications of diabetes and total symptom score (TSS) for peripheral neuropathy were reported by patients. diabetes group had a higher frequency of depression (35.2%) compared to controls (21.1%) (p=0,021), with 2.4 times increased risk of depression. The presence of depressive symptoms was also higher in T2DM group (mean BDI 9.5 ± 8.8 versus 6.9 ± 6.2; p=0.039). Symptoms of diabetic neuropathy were higher in depressed subjects. The metabolic control and presence of complications in T2DM group were not associated with depression. T2DM led to an increased risk of depression, but this did not influence the metabolic control or the presence of other complications.

What Does the Term "Clinical Depression" Mean?

MedlinePlus

... more-severe form of depression, also known as major depression or major depressive disorder. It isn't the same as depression caused ... many doctors use the symptom criteria for major depressive disorder in the Diagnostic and Statistical Manual of Mental ...

Dewey's Liberalisms: Depression-Era Insights for the Great Recession

ERIC Educational Resources Information Center

Rogers, John

2013-01-01

This article explores John Dewey's Depression-era analysis of "liberalism" in an effort to clarify our own neoliberal moment. As Dewey argues, liberalism is a term used in the 1930s to signify diverse and often contradictory meanings. It variously refers to a minimalist state aimed at unbinding markets (laissez-faire liberalism) or…

Perinatal Parenting Stress, Anxiety, and Depression Outcomes in First-Time Mothers and Fathers: A 3- to 6-Months Postpartum Follow-Up Study

PubMed Central

Vismara, Laura; Rollè, Luca; Agostini, Francesca; Sechi, Cristina; Fenaroli, Valentina; Molgora, Sara; Neri, Erica; Prino, Laura E.; Odorisio, Flaminia; Trovato, Annamaria; Polizzi, Concetta; Brustia, Piera; Lucarelli, Loredana; Monti, Fiorella; Saita, Emanuela; Tambelli, Renata

2016-01-01

Objective: Although there is an established link between parenting stress, postnatal depression, and anxiety, no study has yet investigated this link in first-time parental couples. The specific aims of this study were 1) to investigate whether there were any differences between first-time fathers’ and mothers’ postnatal parenting stress, anxiety, and depression symptoms and to see their evolution between three and 6 months after their child’s birth; and 2) to explore how each parent’s parenting stress and anxiety levels and the anxiety levels and depressive symptoms of their partners contributed to parental postnatal depression. Method: The sample included 362 parents (181 couples; mothers’ MAge = 35.03, SD = 4.7; fathers’ MAge = 37.9, SD = 5.6) of healthy babies. At three (T1) and 6 months (T2) postpartum, both parents filled out, in a counterbalanced order, the Parenting Stress Index-Short Form, the Edinburgh Postnatal Depression Scale, and the State-Trait Anxiety Inventory. Results: The analyses showed that compared to fathers, mothers reported higher scores on postpartum anxiety, depression, and parenting stress. The scores for all measures for both mothers and fathers decreased from T1 to T2. However, a path analysis suggested that the persistence of both maternal and paternal postnatal depression was directly influenced by the parent’s own levels of anxiety and parenting stress and by the presence of depression in his/her partner. Discussion: This study highlights the relevant impact and effects of both maternal and paternal stress, anxiety, and depression symptoms during the transition to parenthood. Therefore, to provide efficacious, targeted, early interventions, perinatal screening should be directed at both parents. PMID:27445906

ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS.

PubMed

Lin, Liu Yi; Sidani, Jaime E; Shensa, Ariel; Radovic, Ana; Miller, Elizabeth; Colditz, Jason B; Hoffman, Beth L; Giles, Leila M; Primack, Brian A

2016-04-01

Social media (SM) use is increasing among U.S. young adults, and its association with mental well-being remains unclear. This study assessed the association between SM use and depression in a nationally representative sample of young adults. We surveyed 1,787 adults ages 19 to 32 about SM use and depression. Participants were recruited via random digit dialing and address-based sampling. SM use was assessed by self-reported total time per day spent on SM, visits per week, and a global frequency score based on the Pew Internet Research Questionnaire. Depression was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Scale Short Form. Chi-squared tests and ordered logistic regressions were performed with sample weights. The weighted sample was 50.3% female and 57.5% White. Compared to those in the lowest quartile of total time per day spent on SM, participants in the highest quartile had significantly increased odds of depression (AOR = 1.66, 95% CI = 1.14-2.42) after controlling for all covariates. Compared with those in the lowest quartile, individuals in the highest quartile of SM site visits per week and those with a higher global frequency score had significantly increased odds of depression (AOR = 2.74, 95% CI = 1.86-4.04; AOR = 3.05, 95% CI = 2.03-4.59, respectively). All associations between independent variables and depression had strong, linear, dose-response trends. Results were robust to all sensitivity analyses. SM use was significantly associated with increased depression. Given the proliferation of SM, identifying the mechanisms and direction of this association is critical for informing interventions that address SM use and depression. © 2016 Wiley Periodicals, Inc.

[Surgical treatment of degenerative lumbar scoliosis with multi-segment lumbar spinal stenosis].

PubMed

Lan, Jiaping; Tang, Xun; Xu, Yongqing; Zhou, Tianhua; Shi, Jian; Cui, Yi; Xiang, Qili; Cai, Zhijun; Zhao, Qingkai; Yang, Xiaoyong; Zhao, Caihua

2014-08-01

To explore the surgical indications, decompression and fusion method, and fusion level selection of degenerative lumbar scoliosis (DLS) and multi-segment lumbar spinal stenosis. Between April 2000 and November 2011, 46 cases of DLS and multi-segment lumbar spinal stenosis were treated with multi-level decompression by fenestration and crept enlargement plus internal fixation by interbody and posterior-lateral bone graft fusion (5 segments or above). Of 46 cases, 25 were male and 21 were female, with a mean age of 70.2 years (range, 65-81 years) and with a mean disease duration of 6.4 years (range, 4 years and 6 months to 13 years). X-ray films showed that the lumbar Cobb angle was (26.7 ± 10.0) degrees, and the lumbar lordotic angle was (20.3 ± 8.8)degrees. The lumbar CT and MRI images showed three-segment stenosis in 24 cases, four-segment stenosis in 17 cases, and five-segment stenosis in 5 cases. A total of 165 stenosed segments included 12 L1,2, 34 L2,3, 43 L3,4, 45 L4,5, and 31 L5 and S1. Visual analogue scale (VAS) score, Oswestry disability index (ODI), and Japanese Orthopedic Association (JOA) score (29 points) were employed to evaluate effectiveness. Thirteen patients had leakage of cerebrospinal fluid during operation, and no infection was found after corresponding treatment; pulmonary infection and urinary system infection occurred in 4 and 2 patients respectively, who relieved after received antibiotic therapy; 8 patients with poor wound healing received dressing change, adequate drainage, debridement and suture. No death, paralysis, central nervous system infection, or other complication was observed in these patients. Forty-six cases were followed up 12-72 months (mean, 36.2 months). Lumbago and backache and intermittent claudication of lower extremity were obviously improved. During follow-up, no screw incising, loosening and broken screws, or pseudarthrosis was noted under X-ray film and CT scanning. At last follow-up, the lumbar Cobb angle was

The serum protein levels of the tPA-BDNF pathway are implicated in depression and antidepressant treatment.

PubMed

Jiang, H; Chen, S; Li, C; Lu, N; Yue, Y; Yin, Y; Zhang, Y; Zhi, X; Zhang, D; Yuan, Y

2017-04-04

Evidence demonstrates that brain-derived neurotrophic factor (BDNF) has a pivotal role in the pathogenesis of major depressive disorder (MDD). Precursor-BDNF (proBDNF) and mature BDNF (mBDNF) have opposing biological effects in neuroplasticity, and the tissue-type plasminogen activator (tPA)/plasmin system is crucial in the cleavage processing of proBDNF to mBDNF. However, very little is known about the role of the tPA-BDNF pathway in MDD. We examined serum protein concentrations in the tPA-BDNF pathway, including tPA, BDNF, tropomyosin receptor kinase B (TrkB), proBDNF and p75NTR, obtained from 35 drug-free depressed patients before and after 8 weeks of escitalopram (mean 12.5 mg per day) or duloxetine (mean 64 mg per day) treatment and 35 healthy controls using sandwich ELISA (enzyme-linked immunosorbent assay) methods. Serum tPA and BDNF and the ratio of BDNF/proBDNF were significantly lower in the MDD patients than in controls, whereas TrkB, proBDNF and its receptor p75NTR were higher. After 8 weeks of treatment, tPA, BDNF and proBDNF and the BDNF/proBDNF ratio were reversed, but p75NTR was higher than baseline, and TrkB was not significantly changed. tPA, BDNF, TrkB, proBDNF and p75NTR all yielded fairly good or excellent diagnostic performance (area under the receiver operating characteristic curve (AUC) >0.8 or 0.9). Combination of these five proteins demonstrated much better diagnostic effectiveness (AUC: 0.977) and adequate sensitivity and specificity of 88.1% and 92.7%, respectively. Our results suggest that the tPA-BDNF lysis pathway may be implicated in the pathogenesis of MDD and the mechanisms underlying antidepressant therapeutic action. The combination of tPA, BDNF, TrkB, proBDNF and p75NTR may provide a diagnostic biomarker panel for MDD.

Effects of centrally acting analgesics on spinal segmental reflexes and wind-up.

PubMed

Mazo, I; Roza, C; Zamanillo, D; Merlos, M; Vela, J M; Lopez-Garcia, J A

2015-08-01

The spinal cord is a prime site of action for analgesia. Here we characterize the effects of established analgesics on segmental spinal reflexes. The aim of the study was to look for the pattern of action or signature of analgesic effects on these reflexes. We used a spinal cord in vitro preparation of neonate mice to record ventral root responses to dorsal root stimulation. Pregabalin, clonidine, morphine and duloxetine and an experimental sigma-1 receptor antagonist (S1RA) were applied to the preparation in a cumulative concentration protocol. Drug effects on the wind-up produced by repetitive stimulation of C-fibres and on responses to single A- and C-fibre intensity stimuli were analysed. All compounds produced a concentration-dependent inhibition of total spikes elicited by repetitive stimulation. Concentrations producing ∼50% reduction in this parameter were (in μM) clonidine (0.01), morphine (0.1), pregabalin (1), duloxetine (10) and S1RA (30). At these concentrations clonidine, pregabalin and S1RA had significant effects on the wind-up index and little depressant effects on responses to single stimuli. Morphine and duloxetine did not depress wind-up index and showed large effects on responses to single stimuli. None of the compounds had strong effects on the amplitude of the non-nociceptive monosynaptic reflex. morphine and duloxetine had general depressant effects on spinal reflexes, whereas the effects of clonidine, pregabalin and S1RA appeared to be restricted to signals originated by strong repetitive activation of C-fibres. Results are discussed in the context of reported behavioural effects of the compounds studied. © 2014 European Pain Federation - EFIC®

Depression and dementias among military veterans.

PubMed

Byers, Amy L; Yaffe, Kristine

2014-06-01

Depression is very common throughout the course of veterans' lives, and dementia is common in late life. Previous studies suggest an association between depression and dementia in military veterans. The most likely biologic mechanisms that may link depression and dementia among military veterans include vascular disease, changes in glucocorticoid steroids and hippocampal atrophy, deposition of β-amyloid plaques, inflammatory changes, and alterations of nerve growth factors. In addition, military veterans often have depression comorbid with posttraumatic stress disorder or traumatic brain injury. Therefore, in military veterans, these hypothesized biologic pathways going from depression to dementia are more than likely influenced by trauma-related processes. Treatment strategies for depression, posttraumatic stress disorder, or traumatic brain injury could alter these pathways and as a result decrease the risk for dementia. Given the projected increase of dementia, as well as the projected increase in the older segment of the veteran population, in the future, it is critically important that we understand whether treatment for depression alone or combined with other regimens improves cognition. In this review, we summarize the principal mechanisms of this relationship and discuss treatment implications in military veterans. Copyright © 2014 The Alzheimer's Association. All rights reserved.

Inbreeding depression in self-incompatible North-American Arabidopsis lyrata: disentangling genomic and S-locus-specific genetic load

PubMed Central

Stift, M; Hunter, B D; Shaw, B; Adam, A; Hoebe, P N; Mable, B K

2013-01-01

Newly formed selfing lineages may express recessive genetic load and suffer inbreeding depression. This can have a genome-wide genetic basis, or be due to loci linked to genes under balancing selection. Understanding the genetic architecture of inbreeding depression is important in the context of the maintenance of self-incompatibility and understanding the evolutionary dynamics of S-alleles. We addressed this using North-American subspecies of Arabidopsis lyrata. This species is normally self-incompatible and outcrossing, but some populations have undergone a transition to selfing. The goals of this study were to: (1) quantify the strength of inbreeding depression in North-American populations of A. lyrata; and (2) disentangle the relative contribution of S-linked genetic load compared with overall inbreeding depression. We enforced selfing in self-incompatible plants with known S-locus genotype by treatment with CO2, and compared the performance of selfed vs outcrossed progeny. We found significant inbreeding depression for germination rate (δ=0.33), survival rate to 4 weeks (δ=0.45) and early growth (δ=0.07), but not for flowering rate. For two out of four S-alleles in our design, we detected significant S-linked load reflected by an under-representation of S-locus homozygotes in selfed progeny. The presence or absence of S-linked load could not be explained by the dominance level of S-alleles. Instead, the random nature of the mutation process may explain differences in the recessive deleterious load among lineages. PMID:22892638

Patterns of primary afferent depolarization of segmental and ascending intraspinal collaterals of single joint afferents in the cat.

PubMed

Rudomin, P; Lomelí, J

2007-01-01

We have examined in the anesthetized cat the threshold changes produced by sensory and supraspinal stimuli on intraspinal collaterals of single afferents from the posterior articular nerve (PAN). Forty-eight fibers were tested in the L3 segment, in or close to Clarke's column, and 70 fibers in the L6-L7 segments within the intermediate zone. Of these, 15 pairs of L3 and L6-L7 collaterals were from the same afferent. Antidromically activated fibers had conduction velocities between 23 and 74 m/s and peripheral thresholds between 1.1 and 4.7 times the threshold of the most excitable fibers (xT), most of them below 3 xT. PAN afferents were strongly depolarized by stimulation of muscle afferents and by cutaneous afferents, as well as by stimulation of the bulbar reticular formation and the midline raphe nuclei. Stimulation of muscle nerves (posterior biceps and semitendinosus, quadriceps) produced a larger PAD (primary afferent depolarization) in the L6-L7 than in the L3 terminations. Group II were more effective than group I muscle afferents. As with group I muscle afferents, the PAD elicited in PAN afferents by stimulation of muscle nerves could be inhibited by conditioning stimulation of cutaneous afferents. Stimulation of the cutaneous sural and superficial peroneal nerves increased the threshold of few terminations (i.e., produced primary afferent hyperpolarization, PAH) and reduced the threshold of many others, particularly of those tested in the L6-L7 segments. Yet, there was a substantial number of terminals where these conditioning stimuli had minor or no effects. Autogenetic stimulation of the PAN with trains of pulses increased the intraspinal threshold in 46% and reduced the threshold in 26% of fibers tested in the L6-L7 segments (no tests were made with trains of pulses on fibers ending in L3). These observations indicate that PAN afferents have a rather small autogenetic PAD, particularly if this is compared with the effects of heterogenetic stimulation

Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI.

PubMed

Moeskops, Pim; de Bresser, Jeroen; Kuijf, Hugo J; Mendrik, Adriënne M; Biessels, Geert Jan; Pluim, Josien P W; Išgum, Ivana

2018-01-01

Automatic segmentation of brain tissues and white matter hyperintensities of presumed vascular origin (WMH) in MRI of older patients is widely described in the literature. Although brain abnormalities and motion artefacts are common in this age group, most segmentation methods are not evaluated in a setting that includes these items. In the present study, our tissue segmentation method for brain MRI was extended and evaluated for additional WMH segmentation. Furthermore, our method was evaluated in two large cohorts with a realistic variation in brain abnormalities and motion artefacts. The method uses a multi-scale convolutional neural network with a T 1 -weighted image, a T 2 -weighted fluid attenuated inversion recovery (FLAIR) image and a T 1 -weighted inversion recovery (IR) image as input. The method automatically segments white matter (WM), cortical grey matter (cGM), basal ganglia and thalami (BGT), cerebellum (CB), brain stem (BS), lateral ventricular cerebrospinal fluid (lvCSF), peripheral cerebrospinal fluid (pCSF), and WMH. Our method was evaluated quantitatively with images publicly available from the MRBrainS13 challenge ( n  = 20), quantitatively and qualitatively in relatively healthy older subjects ( n  = 96), and qualitatively in patients from a memory clinic ( n  = 110). The method can accurately segment WMH (Overall Dice coefficient in the MRBrainS13 data of 0.67) without compromising performance for tissue segmentations (Overall Dice coefficients in the MRBrainS13 data of 0.87 for WM, 0.85 for cGM, 0.82 for BGT, 0.93 for CB, 0.92 for BS, 0.93 for lvCSF, 0.76 for pCSF). Furthermore, the automatic WMH volumes showed a high correlation with manual WMH volumes (Spearman's ρ  = 0.83 for relatively healthy older subjects). In both cohorts, our method produced reliable segmentations (as determined by a human observer) in most images (relatively healthy/memory clinic: tissues 88%/77% reliable, WMH 85%/84% reliable) despite various degrees of

Association between Social Media Use and Depression among U.S. Young Adults

PubMed Central

Lin, Liu yi; Sidani, Jaime E.; Shensa, Ariel; Radovic, Ana; Miller, Elizabeth; Colditz, Jason B.; Hoffman, Beth L.; Giles, Leila M.; Primack, Brian A.

2016-01-01

Background Social media (SM) use is increasing among U.S. young adults, and its association with mental well-being remains unclear. This study assessed the association between SM use and depression in a nationally-representative sample of young adults. Methods We surveyed 1,787 adults ages 19 to 32 about SM use and depression. Participants were recruited via random digit dialing and address-based sampling. SM use was assessed by self-reported total time per day spent on SM, visits per week, and a global frequency score based on the Pew Internet Research Questionnaire. Depression was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Depression Scale Short Form. Chi-squared tests and ordered logistic regressions were performed with sample weights. Results The weighted sample was 50.3% female and 57.5% White. Compared to those in the lowest quartile of total time per day spent on SM, participants in the highest quartile had significantly increased odds of depression (AOR=1.66, 95% CI=1.14–2.42) after controlling for all covariates. Compared with those in the lowest quartile, individuals in the highest quartiles of SM site visits per week and those with a higher global frequency score had significantly increased odds of depression (AOR=2.74, 95% CI=1.86–4.04; AOR=3.05, 95% CI=2.03–4.59, respectively). All associations between independent variables and depression had strong, linear, dose-response trends. Results were robust to all sensitivity analyses. Conclusions SM use was significantly associated with increased depression. Given the proliferation of SM, identifying the mechanisms and direction of this association is critical for informing interventions that address SM use and depression. PMID:26783723

Cortisol, Testosterone, and Prospective Risk for War-zone Stress-Evoked Depression.

PubMed

Cobb, Adam R; Josephs, Robert A; Lancaster, Cynthia L; Lee, Han-Joo; Telch, Michael J

2018-04-27

The major challenges of efforts to reveal biological risk factors and biomarkers of depression include the complexity of underlying systems, interactions with other systems, and contextual factors governing their expression. Altered endocrine function is believed to be a central contributor to depressive illness, but across studies, evidence for a link between endocrine markers and depression has been mixed, inconclusive, or conditional in nature. In the present study, we evaluated basal testosterone (T), cortisol (C), and CO2 inhalation-stress-reactivity measures of these hormones (TR, CR) as pre-deployment moderators of the later impact of war-zone stressors on depression symptoms in-theater. At pre-deployment, U.S. soldiers (N = 120) completed demographic, clinical and hormone measures, and during deployment, they completed monthly, web-based assessments of war-zone stressors and depression symptoms (N = 533 observations). Mixed effects models estimated the effects of the pre-deployment hormone profiles in moderating war-zone stressors' impact on in-theater depression. Models also tested whether hormonally linked risk for later stress-evoked depression depends on pre-existing depression. Controlling for pre-deployment depression, high T was protective; whereas TR had depressogenic effects that were amplified by pre-deployment depression. Further, high C was protective, but heightened CR was depressogenic, but only among those with elevated pre-deployment depression. Findings highlight the importance of examining basal and reactivity measures of endocrine function, and use of prospective, longitudinal models to test hypothesized causal pathways associated with depression vulnerability in the war-zone. Results also suggest that pre-existing depression and cortisol may work in tandem to increase vulnerability for later stress-evoked depression in the war-zone.

Depressing effect of electroacupuncture on the spinal non-painful sensory input of the rat.

PubMed

Quiroz-González, Salvador; Segura-Alegría, Bertha; Jiménez-Estrada, Ismael

2014-09-01

The aim of this study was to explore the effect of electroacupuncture (EA) applied in the Zusanli (ST36) and Sanyinjiao (SP6) points on the N1 component of the cord dorsum potential (CDP) evoked by electrical stimulation of the sural nerve (SU) in the rat. The experiments were performed in 44 Wistar rats (250-300 g) anesthetized with ketamine (100 mg/kg) and xylazine (2 mg/kg). A bilateral laminectomy was performed to expose the L3 to S2 segments of the spinal cord. The SU nerve was exposed and placed on pairs of hook electrodes for electrical stimulation. The N1-CDPs were recorded with three silver-ball electrodes located on the dorsal surface of the L5 to S1 segments. Ipsilateral high and low EA stimulation (100, 2 Hz, 6 mA, 30 min) induced a considerable reduction in the amplitude (45 ± 5.6, 41 ± 6.2%) of the N1-CDP recorded at the L6 segmental level. Recovery of the N1-CDP amplitude occurred approximately 1-3 s after EA. Sectioning of the saphenous and superficial peroneal nerves reduced the depressing effect provoked by the EA stimulation (18.7 ± 1.3, 27 ± 3.8%). Similarly, sectioning of the posterior and anterior tibial, deep peroneal and gastrocnemius nerves partially reduced the effect provoked by EA (11 ± 1.5, 9.8 ± 1.1, 12.6 ± 1.9%). Intravenous picrotoxin (1 mg/kg) also reduced the action of low and high EA (23 ± 4.8, 27 ± 5.2%). It is suggested that EA stimulation depresses non-painful sensory pathways through the activation of specific inhibitory pathways that receive modulatory actions from other sensory and muscle afferent inputs in the rat spinal cord.

The J beta segment of the T cell receptor contributes to the V beta-specific T cell expansion caused by staphylococcal enterotoxin B and Urtica dioica superantigens.

PubMed

Musette, P; Galelli, A; Truffa-Bachi, P; Peumans, W; Kourilsky, P; Gachelin, G

1996-03-01

We have used a new polymerase chain reaction-based technique to analyze at the clonal level the CDR3 diversity and the J beta usage associated with the V beta-dependent T cell receptor (TCR) recognition of two superantigens: the staphylococcal enterotoxin B and the Urtica dioica agglutinin. Our results show that subset of J beta elements is preferentially expanded in a given V beta family, independently of the nature of the superantigen. By contrast, the CDR3 loop does not contribute significantly to the T cell expansion induced by the superantigens. We conclude that the J beta segment of the TCR beta chain, but not the CDR3 region, participates in superantigen binding, presumably by influencing the quaternary structure of the TCR beta chain.

Effects of Antenatal Maternal Depression and Anxiety on Children’s Early Cognitive Development: A Prospective Cohort Study

PubMed Central

Ibanez, Gladys; Bernard, Jonathan Y.; Rondet, Claire; Peyre, Hugo; Forhan, Anne; Kaminski, Monique; Saurel-Cubizolles, Marie-Josèphe

2015-01-01

Introduction Studies have shown that depression or anxiety occur in 10–20% of pregnant women. These disorders are often undertreated and may affect mothers and children’s health. This study investigates the relation between antenatal maternal depression, anxiety and children’s early cognitive development among 1380 two-year-old children and 1227 three-year-old children. Methods In the French EDEN Mother-Child Cohort Study, language ability was assessed with the Communicative Development Inventory at 2 years of age and overall development with the Ages and Stages Questionnaire at 3 years of age. Multiple regressions and structural equation modeling were used to examine links between depression, anxiety during pregnancy and child cognitive development. Results We found strong significant associations between maternal antenatal anxiety and poorer children’s cognitive development at 2 and 3 years. Antenatal maternal depression was not associated with child development, except when antenatal maternal anxiety was also present. Both postnatal maternal depression and parental stimulation appeared to play mediating roles in the relation between antenatal maternal anxiety and children’s cognitive development. At 3 years, parental stimulation mediated 13.2% of the effect of antenatal maternal anxiety while postnatal maternal depression mediated 26.5%. Discussion The partial nature of these effects suggests that other mediators may play a role. Implications for theory and research on child development are discussed. PMID:26317609

The Network Model of Depression as a Basis for New Therapeutic Strategies for Treating Major Depressive Disorder in Parkinson’s Disease

PubMed Central

D’Ostilio, Kevin; Garraux, Gaëtan

2016-01-01

The high prevalence of major depressive disorder in people with Parkinson’s disease (PD), its negative impact on health-related quality of life and the low response rate to conventional pharmacological therapies call to seek innovative treatments. Here, we review the new approaches for treating major depressive disorder in patients with PD within the framework of the network model of depression. According to this model, major depressive disorder reflects maladaptive neuronal plasticity. Non-invasive brain stimulation (NIBS) using high frequency repetitive transcranial magnetic stimulation (rTMS) over the prefrontal cortex has been proposed as a feasible and effective strategy with minimal risk. The neurobiological basis of its therapeutic effect may involve neuroplastic modifications in limbic and cognitive networks. However, the way this networks reorganize might be strongly influenced by the environment. To address this issue, we propose a combined strategy that includes NIBS together with cognitive and behavioral interventions. PMID:27148016

Sexual orientation and depression in Canada.

PubMed

Scott, Roger L; Lasiuk, Gerri; Norris, Colleen M

2017-03-01

Depression is a global concern and it is well known that certain segments of the population are at greater risk. Sexual minorities are recognized as being more likely to suffer from depression due to social stigma and prejudice. The aim of this study was to describe the relationship between sexual orientation and depression in the Canadian population. The study used the 2012 Canadian Community Health Survey - Mental Health data. The sample comprised 24,788 Canadians living in the ten provinces. Logistic regression analyses were used to examine the relationship of depression and sexual orientation. After adjusting for known risk factors for depression, there was no difference in prevalence of past 12-month or lifetime major depressive episode between sexual minorities and heterosexuals. Bisexuals did have a near significant trend towards higher prevalence of both past 12-month and lifetime depression as a combined group, but there were not clear differences when stratified by sex. This study supports important emerging trends in the relationship between sexual orientation and depression. Research on the mental health of sexual minority people must take into account differences between sexual minority groups and avoid aggregating mental health disorders into broad categories. These findings have implications for public health planning and clinical recommendations.

Depression differed by midnight cortisol secretion, alexithymia and anxiety between diabetes types: a cross sectional comparison.

PubMed

Melin, Eva O; Thunander, Maria; Landin-Olsson, Mona; Hillman, Magnus; Thulesius, Hans O

2017-09-20

Increased prevalence of depression is found in both type 2 diabetes (T2D) and type 1 diabetes (T1D). Melancholia and atypical depression differ by cortisol secretion and clinical features. The aim was to compare the clinical presentation of T1D and T2D patients in relation to self-reported depression, self-reported anxiety, alexithymia, obesity, and midnight salivary cortisol (MSC). Comparative cross-sectional design. The participants were consecutively recruited from one hospital diabetes outpatient clinic: 24 T2D patients (31-59 years) and 148 T1D patients (32-59 years). Self-reported depression, anxiety and alexithymia were assessed by Hospital Anxiety and Depression scale and Toronto Alexithymia Scale-20. MSC, HbA1c, anthropometrics and data from medical records were collected. Multiple logistic regression analyses were performed. Comparisons of prevalence between diabetes types showed for T2D/T1D: depression 25%/12% (P = 0.10); high MSC (≥9.3 nmol/L) 38%/22% (P = 0.13); alexithymia 25%/13% (P = 0.12); anxiety 38%/35% (P = 0.82). The prevalence of high MSC did not differ between depressed and non-depressed T2D patients (17% vs. 44%, P = 0.35), but differed between depressed and non-depressed T1D patients (53% vs. 18%, P = 0.003). The alexithymia prevalence differed between depressed and non-depressed T2D patients (67% vs.11%, P = 0.018), and between depressed and non-depressed T1D patients (47% vs. 11%, P < 0.001). The anxiety prevalence did not differ between depressed and non-depressed T2D patients (67% vs. 28%, P = 0.15), but differed between depressed and non-depressed T1D patients (76% vs. 30%, P < 0.001). The obesity prevalence (BMI ≥30 kg/m 2 ) was 83% for depressed T2D patients and 6% for depressed T1D patients. In the T2D patients, depression was associated with alexithymia (Adjusted odds ratio (AOR) 15.0). In the T1D patients, depression was associated with anxiety (AOR 11.0), foot complications (AOR 8.5), HbA1C >70�

Depression, asthma and bronchodilator response in a nationwide study of U.S. adults

PubMed Central

Han, Yueh-Ying; Forno, Erick; Marsland, Anna L.; Miller, Gregory E.; Celedón, Juan C.

2015-01-01

Background Little is known about the relation between two common co-morbidities (depression and anxiety) and asthma or bronchodilator response (BDR). Objective To examine the association between depressive symptoms and asthma or BDR in U.S. adults. Methods Cross-sectional study of 20,272 adults 20–79 years from the 2007–2012 National Health and Nutrition Examination Survey. Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9), and classified as: none to minimal, mild, moderate, moderately severe, and severe. Major depression (comprising moderately severe to severe symptoms) was defined as a PHQ-9 ≥15. Anxiety was defined as ≥5 days feeling anxious in the prior month. Current asthma was defined as having been diagnosed with asthma by a doctor or health professional and ≥1 asthma attack in the previous year. BDR (as percentage of baseline FEV1) was measured in 1,356 participants with FEV1/FVC<0.70 and/or FEV1<70% of predicted. Logistic or linear regression was used for the multivariable analysis. Results Depressive symptoms were significantly and linearly associated with asthma, independently of anxiety symptoms. Subjects with major depression had 3.4 higher odds of asthma than those with minimal or no depressive symptoms (95% confidence interval 2.6–4.5, P<0.01). Among adults with asthma, major depression was associated with a 4.2% reduction in BDR (95% CI=−7.5% to −0.8%, P=0.02). Major depression was not associated with BDR among adults without asthma. Anxiety was not associated with asthma or BDR. Conclusion Depressive symptoms are associated with asthma in adults, independently of anxiety symptoms. Major depression is associated with reduced BDR in adults with asthma. PMID:26563676

Parental childhood adversity, depressive symptoms, and parenting quality: Effects on toddler self-regulation in Child Welfare Services-involved families

PubMed Central

Spieker, Susan J.; Oxford, Monica L.; Fleming, Charles B.; Lohr, Mary Jane

2018-01-01

Parents who are child welfare services-involved (CWSI) often have a history of childhood adversity and depressive symptoms. Both affect parenting quality, which in turn influences child adaptive functioning. We tested a model of the relations between parental depression and child regulatory outcomes first proposed by Lyons-Ruth and colleagues (2002). We hypothesized that both parental depression and parenting quality mediate the effects of parental early adversity on offspring regulatory outcomes. Participants were 123 CWSI parents and their toddlers who were assessed three times over a period of six months. At T1, parents reported on their childhood adversity and current depressive symptoms. At T2, parents’ sensitivity to their child’s distress and non-distress cues were rated from a videotaped teaching task. At T3, observers rated children’s emotional regulation, orientation/engagement, and secure base behavior. The results of a path model partly supported hypotheses. Parent childhood adversity was associated with current depressive symptoms, which in turn was related to parent sensitivity to child distress but not non-distress. Sensitivity to distress also predicted secure base behavior. Depression directly predicted orientation/engagement, also predicted by sensitivity to non-distress. Sensitivity to distress predicted emotion regulation and orientation/engagement. Results are discussed in terms of intervention approaches for CWSI families. PMID:29266280

Performing label-fusion-based segmentation using multiple automatically generated templates.

PubMed

Chakravarty, M Mallar; Steadman, Patrick; van Eede, Matthijs C; Calcott, Rebecca D; Gu, Victoria; Shaw, Philip; Raznahan, Armin; Collins, D Louis; Lerch, Jason P

2013-10-01

Classically, model-based segmentation procedures match magnetic resonance imaging (MRI) volumes to an expertly labeled atlas using nonlinear registration. The accuracy of these techniques are limited due to atlas biases, misregistration, and resampling error. Multi-atlas-based approaches are used as a remedy and involve matching each subject to a number of manually labeled templates. This approach yields numerous independent segmentations that are fused using a voxel-by-voxel label-voting procedure. In this article, we demonstrate how the multi-atlas approach can be extended to work with input atlases that are unique and extremely time consuming to construct by generating a library of multiple automatically generated templates of different brains (MAGeT Brain). We demonstrate the efficacy of our method for the mouse and human using two different nonlinear registration algorithms (ANIMAL and ANTs). The input atlases consist a high-resolution mouse brain atlas and an atlas of the human basal ganglia and thalamus derived from serial histological data. MAGeT Brain segmentation improves the identification of the mouse anterior commissure (mean Dice Kappa values (κ = 0.801), but may be encountering a ceiling effect for hippocampal segmentations. Applying MAGeT Brain to human subcortical structures improves segmentation accuracy for all structures compared to regular model-based techniques (κ = 0.845, 0.752, and 0.861 for the striatum, globus pallidus, and thalamus, respectively). Experiments performed with three manually derived input templates suggest that MAGeT Brain can approach or exceed the accuracy of multi-atlas label-fusion segmentation (κ = 0.894, 0.815, and 0.895 for the striatum, globus pallidus, and thalamus, respectively). Copyright © 2012 Wiley Periodicals, Inc.

Partial androgen deficiency, depression and testosterone treatment in aging men.

PubMed

Amore, Mario; Scarlatti, Fabiano; Quarta, Antonio Lucio; Tagariello, Pietro

2009-02-01

This study provides a critical review of the literature on depressive symptoms of partial androgen deficiency (PADAM) and their treatment with Testosterone (T). PADAM in aging males is responsible for a variety of behavioral symptoms, such as weakness, decreased libido and erectile dysfunction, lower psychological vitality, depressive mood, anxiety, insomnia, difficulty in concentrating, and memory impairment. The psychological and behavioural aspects of PADAM may overlap with signs and symptoms of major depression. Evidence of the relationship between androgen deficiency and male depression comes from studies that have assessed depression in hypogonadal subjects, the association between low T level and male depressive illness, and the antidepressant action of androgen replacement. The etiology of depressive symptoms of PADAM is multifactorial, and results from the interaction of the biological and psychosocial changes that take place during the mid-life transition. Although data derived from androgen treatment trials and androgen replacement do not support T treatment or replacement as more efficacious than placebo for major depressive disorder (MDD), the clinical impression is that, in some sub-threshold depressive syndromes, T may lead to antidepressant benefits.

The relationship between self-report of depression and media usage

PubMed Central

Block, Martin; Stern, Daniel B.; Raman, Kalyan; Lee, Sang; Carey, Jim; Humphreys, Ashlee A.; Mulhern, Frank; Calder, Bobby; Schultz, Don; Rudick, Charles N.; Blood, Anne J.; Breiter, Hans C.

2014-01-01

Depression is a debilitating condition that adversely affects many aspects of a person's life and general health. Earlier work has supported the idea that there may be a relationship between the use of certain media and depression. In this study, we tested if self-report of depression (SRD), which is not a clinically based diagnosis, was associated with increased internet, television, and social media usage by using data collected in the Media Behavior and Influence Study (MBIS) database (N = 19,776 subjects). We further assessed the relationship of demographic variables to this association. These analyses found that SRD rates were in the range of published rates of clinically diagnosed major depression. It found that those who tended to use more media also tended to be more depressed, and that segmentation of SRD subjects was weighted toward internet and television usage, which was not the case with non-SRD subjects, who were segmented along social media use. This study found that those who have suffered either economic or physical life setbacks are orders of magnitude more likely to be depressed, even without disproportionately high levels of media use. However, among those that have suffered major life setbacks, high media users—particularly television watchers—were even more likely to report experiencing depression, which suggests that these effects were not just due to individuals having more time for media consumption. These findings provide an example of how Big Data can be used for medical and mental health research, helping to elucidate issues not traditionally tested in the fields of psychiatry or experimental psychology. PMID:25309388

The relationship between self-report of depression and media usage.

PubMed

Block, Martin; Stern, Daniel B; Raman, Kalyan; Lee, Sang; Carey, Jim; Humphreys, Ashlee A; Mulhern, Frank; Calder, Bobby; Schultz, Don; Rudick, Charles N; Blood, Anne J; Breiter, Hans C

2014-01-01

Depression is a debilitating condition that adversely affects many aspects of a person's life and general health. Earlier work has supported the idea that there may be a relationship between the use of certain media and depression. In this study, we tested if self-report of depression (SRD), which is not a clinically based diagnosis, was associated with increased internet, television, and social media usage by using data collected in the Media Behavior and Influence Study (MBIS) database (N = 19,776 subjects). We further assessed the relationship of demographic variables to this association. These analyses found that SRD rates were in the range of published rates of clinically diagnosed major depression. It found that those who tended to use more media also tended to be more depressed, and that segmentation of SRD subjects was weighted toward internet and television usage, which was not the case with non-SRD subjects, who were segmented along social media use. This study found that those who have suffered either economic or physical life setbacks are orders of magnitude more likely to be depressed, even without disproportionately high levels of media use. However, among those that have suffered major life setbacks, high media users-particularly television watchers-were even more likely to report experiencing depression, which suggests that these effects were not just due to individuals having more time for media consumption. These findings provide an example of how Big Data can be used for medical and mental health research, helping to elucidate issues not traditionally tested in the fields of psychiatry or experimental psychology.

Plasma Amyloid-β Peptides and Homocysteine in Depression in the Homebound Elderly

PubMed Central

Qiu, Wei Qiao; Sun, Xiaoyan; Mwamburi, D. Mkaya; Haker, Jacqueline; Lisle, David; Rizal, Abishek; Lin, Yu-min; Qiao, Liyan; Summergrad, Paul; Folstein, Marshal; Rosenberg, Irwin

2011-01-01

Objectives Both plasma amyloid-β peptide 40 (Aβ40) and homocysteine (tHcy) are linked to vascular disease, which is related to depression in the elderly. We sought to study whether the relationship between tHcy and plasma Aβ40 differs in those with and without depression. Study Design and Methods In a cross-sectional study of 1058 homebound elders, vascular depression was defined as a score ≥ 16 on the Center for Epidemiological Studies Depression scale (CES-D) along with self-reported cardiovascular disease (CVD). Plasma Aβ40 and Aβ42, and serum tHcy and creatinine were measured. Results Elders with high tHcy had higher concentrations of plasma Aβ40 (median: 147.5 vs. 123.1 pg/ml, P < 0.0001) and Aβ42 (median: 20.2 vs. 16.6 pg/ml, P < 0.0001) than those with low tHcy. In elders with depression, the relationship between logarithm of plasma Aβ40 (LogAβ40), but not LogAβ42, and tHcy was significant (β = +0.010, SE = 0.004, P = 0.007); in contrast, this relationship was not observed in those without depression. Subjects with vascular depression had the highest concentration of tHcy (mean ± SD: 12.8 ± 4.6 vs. 11.7 ± 4.5 vs. 11.9 + 5.5, P = 0.008) compared to those without CVD and those without depression. Depressed subjects without CVD had the lowest concentration of plasma Aβ42 (median: 15.5 vs. 19.1 vs. 18.7, P = 0.01) compared to those with CVD and those without depression. Conclusions Vascular depression, which is associated with tHcy and Aβ40 in blood, appears to be different from depression that is associated with low plasma Aβ42. This suggests that reducing tHcy and Aβ40 may be an adjunct treatment for vascular depression. PMID:23766866

Plasma Amyloid-β Peptides and Homocysteine in Depression in the Homebound Elderly.

PubMed

Qiu, Wei Qiao; Sun, Xiaoyan; Mwamburi, D Mkaya; Haker, Jacqueline; Lisle, David; Rizal, Abishek; Lin, Yu-Min; Qiao, Liyan; Summergrad, Paul; Folstein, Marshal; Rosenberg, Irwin

2010-04-01

Both plasma amyloid-β peptide 40 (Aβ40) and homocysteine (tHcy) are linked to vascular disease, which is related to depression in the elderly. We sought to study whether the relationship between tHcy and plasma Aβ40 differs in those with and without depression. In a cross-sectional study of 1058 homebound elders, vascular depression was defined as a score ≥ 16 on the Center for Epidemiological Studies Depression scale (CES-D) along with self-reported cardiovascular disease (CVD). Plasma Aβ40 and Aβ42, and serum tHcy and creatinine were measured. Elders with high tHcy had higher concentrations of plasma Aβ40 (median: 147.5 vs. 123.1 pg/ml, P < 0.0001) and Aβ42 (median: 20.2 vs. 16.6 pg/ml, P < 0.0001) than those with low tHcy. In elders with depression, the relationship between logarithm of plasma Aβ40 (LogAβ40), but not LogAβ42, and tHcy was significant (β = +0.010, SE = 0.004, P = 0.007); in contrast, this relationship was not observed in those without depression. Subjects with vascular depression had the highest concentration of tHcy (mean ± SD: 12.8 ± 4.6 vs. 11.7 ± 4.5 vs. 11.9 + 5.5, P = 0.008) compared to those without CVD and those without depression. Depressed subjects without CVD had the lowest concentration of plasma Aβ42 (median: 15.5 vs. 19.1 vs. 18.7, P = 0.01) compared to those with CVD and those without depression. Vascular depression, which is associated with tHcy and Aβ40 in blood, appears to be different from depression that is associated with low plasma Aβ42. This suggests that reducing tHcy and Aβ40 may be an adjunct treatment for vascular depression.

Online depression communities: members' interests and perceived benefits.

PubMed

Nimrod, Galit

2013-01-01

Most previous studies on online communities (peer-to-peer support groups) dedicated to people with depression related to members as a homogeneous group, and none examined differences between segments based on psychographic measures. Such segmentation may be most helpful in understanding members' participation patterns and explaining the benefits members gain from participation. This study aimed to explore whether members of online depression communities vary in their interests in issues discussed in the communities, and if so, whether groups with different interests also differ with regard to the benefits gained from participation. The study was based on an online survey of 793 members of 16 online depression communities. Results identified four member groups: concerned about daily living, information seekers, interested in all topics, and relatively less involved. There were very few differences between the groups in background characteristics, participation patterns, and level of depression. However, results indicated significant differences between the groups in perceived benefits, as the interested in all topics reported more "online support" and "offline improvement" than the information seekers and the relatively less involved, and more "offline improvement" than the concerned about daily living. Assuming that the reported interests reflected actual involvement in discussions of different issues, the findings suggest that combining supportive and informative discussions is more beneficial than attending to only one type of discussion, and stress the importance of informative discussions.

Psychometric Properties of the Beck Depression Inventory for Youth in a Sample of Girls

ERIC Educational Resources Information Center

Stapleton, Laura M.; Sander, Janay B.; Stark, Kevin D.

2007-01-01

A new measure has been developed to assess depressive symptoms, the Beck Depression Inventory for Youth (BDI-Y; J. S. Beck, A. T. Beck, & J. B. Jolly, 2001). This research extends previous validation research of BDI-Y total scores by examining internal consistency and convergent and predictive validity within a school-based sample (n = 859) of…

Pancreas and cyst segmentation

NASA Astrophysics Data System (ADS)

Dmitriev, Konstantin; Gutenko, Ievgeniia; Nadeem, Saad; Kaufman, Arie

2016-03-01

Accurate segmentation of abdominal organs from medical images is an essential part of surgical planning and computer-aided disease diagnosis. Many existing algorithms are specialized for the segmentation of healthy organs. Cystic pancreas segmentation is especially challenging due to its low contrast boundaries, variability in shape, location and the stage of the pancreatic cancer. We present a semi-automatic segmentation algorithm for pancreata with cysts. In contrast to existing automatic segmentation approaches for healthy pancreas segmentation which are amenable to atlas/statistical shape approaches, a pancreas with cysts can have even higher variability with respect to the shape of the pancreas due to the size and shape of the cyst(s). Hence, fine results are better attained with semi-automatic steerable approaches. We use a novel combination of random walker and region growing approaches to delineate the boundaries of the pancreas and cysts with respective best Dice coefficients of 85.1% and 86.7%, and respective best volumetric overlap errors of 26.0% and 23.5%. Results show that the proposed algorithm for pancreas and pancreatic cyst segmentation is accurate and stable.

Improving nurses' knowledge of continuous ST-segment monitoring.

PubMed

Chronister, Connie

2014-01-01

Continuous ST-segment monitoring can result in detection of myocardial ischemia, but in clinical practice, continuous ST-segment monitoring is conducted incorrectly and underused by many registered nurses (RNs). Many RNs are unable to correctly institute ST-segment monitoring guidelines because of a lack of education. To evaluate whether an educational intervention, provided to 32 RNs, increases knowledge and correct clinical decision making (CDM) for the use of continuous ST-segment monitoring. At a single institution, an ST-segment monitoring class was provided to RNs in 2 cardiovascular units. Knowledge and correct CDM instruments were used for a baseline pretest and subsequent posttest after ST-segment monitoring education. Statistical significance between pretest and posttest scores for knowledge and correct CDM practice was noted with dependent t tests (P = .0001). Many RNs responsible for electrocardiographic monitoring are not aware of evidence-based ST-segment monitoring practice guidelines and cannot properly place precordial leads needed for ST-segment monitoring. Knowledge and correct CDM with ST-segment monitoring can be improved with focused education.

Radiographic analysis of the correlation between ossification of the nuchal ligament and sagittal alignment and segmental stability of the cervical spine in patients with cervical spondylotic myelopathy.

PubMed

Ying, Jinwei; Teng, Honglin; Qian, Yunfan; Hu, Yingying; Wen, Tianyong; Ruan, Dike; Zhu, Minyu

2018-01-01

Background Ossification of the nuchal ligament (ONL) caused by chronic injury to the nuchal ligament (NL) is very common in instability-related cervical disorders. Purpose To determine possible correlations between ONL, sagittal alignment, and segmental stability of the cervical spine. Material and Methods Seventy-three patients with cervical spondylotic myelopathy (CSM) and ONL (ONL group) and 118 patients with CSM only (control group) were recruited. Radiographic data included the characteristics of ONL, sagittal alignment and segmental stability, and ossification of the posterior longitudinal ligament (OPLL). We performed comparisons in terms of radiographic parameters between the ONL and control groups. The correlations between ONL size, cervical sagittal alignment, and segmental stability were analyzed. Multivariate logistic regression was used to identify the independent risk factors of the development of ONL. Results C2-C7 sagittal vertical axis (SVA), T1 slope (T1S), T1S minus cervical lordosis (T1S-CL) on the lateral plain, angular displacement (AD), and horizontal displacement (HD) on the dynamic radiograph increased significantly in the ONL group compared with the control group. The size of ONL significantly correlated with C2-C7 SVA, T1S, AD, and HD. The incidence of ONL was higher in patients with OPLL and segmental instability. Cervical instability, sagittal malalignment, and OPLL were independent predictors of the development of ONL through multivariate analysis. Conclusion Patients with ONL are more likely to have abnormal sagittal alignment and instability of the cervical spine. Thus, increased awareness and appreciation of this often-overlooked radiographic finding is warranted during diagnosis and treatment of instability-related cervical pathologies and injuries.

Acculturation, Gender, Depression, and Cigarette Smoking among U.S. Hispanic Youth: The Mediating Role of Perceived Discrimination

ERIC Educational Resources Information Center

Lorenzo-Blanco, Elma I.; Unger, Jennifer B.; Ritt-Olson, Anamara; Soto, Daniel; Baezconde-Garbanati, Lourdes

2011-01-01

Hispanic youth are at risk for experiencing depressive symptoms and smoking cigarettes, and risk for depressive symptoms and cigarette use increase as Hispanic youth acculturate to U.S. culture. The mechanism by which acculturation leads to symptoms of depression and cigarette smoking is not well understood. The present study examined whether…

Multidimensional Space-Time Methodology for Development of Planetary and Space Sciences, S-T Data Management and S-T Computational Tomography

NASA Astrophysics Data System (ADS)

Andonov, Zdravko

This R&D represent innovative multidimensional 6D-N(6n)D Space-Time (S-T) Methodology, 6D-6nD Coordinate Systems, 6D Equations, new 6D strategy and technology for development of Planetary Space Sciences, S-T Data Management and S-T Computational To-mography. . . The Methodology is actual for brain new RS Microwaves' Satellites and Compu-tational Tomography Systems development, aimed to defense sustainable Earth, Moon, & Sun System evolution. Especially, extremely important are innovations for monitoring and protec-tion of strategic threelateral system H-OH-H2O Hydrogen, Hydroxyl and Water), correspond-ing to RS VHRS (Very High Resolution Systems) of 1.420-1.657-22.089GHz microwaves. . . One of the Greatest Paradox and Challenge of World Science is the "transformation" of J. L. Lagrange 4D Space-Time (S-T) System to H. Minkovski 4D S-T System (O-X,Y,Z,icT) for Einstein's "Theory of Relativity". As a global result: -In contemporary Advanced Space Sciences there is not real adequate 4D-6D Space-Time Coordinate System and 6D Advanced Cosmos Strategy & Methodology for Multidimensional and Multitemporal Space-Time Data Management and Tomography. . . That's one of the top actual S-T Problems. Simple and optimal nD S-T Methodology discovery is extremely important for all Universities' Space Sci-ences' Education Programs, for advances in space research and especially -for all young Space Scientists R&D!... The top ten 21-Century Challenges ahead of Planetary and Space Sciences, Space Data Management and Computational Space Tomography, important for successfully de-velopment of Young Scientist Generations, are following: 1. R&D of W. R. Hamilton General Idea for transformation all Space Sciences to Time Sciences, beginning with 6D Eukonal for 6D anisotropic mediums & velocities. Development of IERS Earth & Space Systems (VLBI; LLR; GPS; SLR; DORIS Etc.) for Planetary-Space Data Management & Computational Planetary & Space Tomography. 2. R&D of S. W. Hawking Paradigm for 2D

In Vivo Photo-Cross-Linking to Study T3S Interactions Demonstrated Using the Yersinia pestis T3S System.

PubMed

Henderson, Thomas A; Nilles, Matthew L

2017-01-01

Cross-linking of proteins is effective in determining protein-protein interactions. The use of photo-cross-linkers was developed to study protein interactions in several manners. One method involved the incorporation of photo-activatable cross-linking groups into chemically synthesized peptides. A second approach relies on incorporation of photo-activatable cross-linking groups into proteins using tRNAs with chemically bound photo-activatable amino acids with suppressor tRNAs translational systems to incorporate the tags into specific sites. A third system was made possible by the development of photoreactive amino acids that use the normal cellular tRNAs and aminoacyl tRNA synthetases. In this method, the third system is used to demonstrate its utility for the study of T3S system interactions. This method describes how two photo-activatable amino acids, photo-methionine and photo-leucine, that use the normal cellular machinery are incorporated into Yersinia pestis and used to study interactions in the T3S system. To demonstrate the system, the method was used to cross-link the T3S regulatory proteins LcrG and LcrV.

Assessment of Recombination in the S-segment Genome of Crimean-Congo Hemorrhagic Fever Virus in Iran.

PubMed

Chinikar, Sadegh; Shah-Hosseini, Nariman; Bouzari, Saeid; Shokrgozar, Mohammad Ali; Mostafavi, Ehsan; Jalali, Tahmineh; Khakifirouz, Sahar; Groschup, Martin H; Niedrig, Matthias

2016-03-01

Crimean-Congo Hemorrhagic Fever Virus (CCHFV) belongs to genus Nairovirus and family Bunyaviridae. The main aim of this study was to investigate the extent of recombination in S-segment genome of CCHFV in Iran. Samples were isolated from Iranian patients and those available in GenBank, and analyzed by phylogenetic and bootscan methods. Through comparison of the phylogenetic trees based on full length sequences and partial fragments in the S-segment genome of CCHFV, genetic switch was evident, due to recombination event. Moreover, evidence of multiple recombination events was detected in query isolates when bootscan analysis was used by SimPlot software. Switch of different genomic regions between different strains by recombination could contribute to CCHFV diversification and evolution. The occurrence of recombination in CCHFV has a critical impact on epidemiological investigations and vaccine design.

Maternal depression and the learning-promoting effects of infant-directed speech: Roles of maternal sensitivity, depression diagnosis, and speech acoustic cues.

PubMed

Kaplan, Peter S; Danko, Christina M; Cejka, Anna M; Everhart, Kevin D

2015-11-01

The hypothesis that the associative learning-promoting effects of infant-directed speech (IDS) depend on infants' social experience was tested in a conditioned-attention paradigm with a cumulative sample of 4- to 14-month-old infants. Following six forward pairings of a brief IDS segment and a photographic slide of a smiling female face, infants of clinically depressed mothers exhibited evidence of having acquired significantly weaker voice-face associations than infants of non-depressed mothers. Regression analyses revealed that maternal depression was significantly related to infant learning even after demographic correlates of depression, antidepressant medication use, and extent of pitch modulation in maternal IDS had been taken into account. However, after maternal depression had been accounted for, maternal emotional availability, coded by blind raters from separate play interactions, accounted for significant further increments in the proportion of variance accounted for in infant learning scores. Both maternal depression and maternal insensitivity negatively, and additively, predicted poor learning. Copyright © 2015 Elsevier Inc. All rights reserved.

Semi-Automatic Segmentation Software for Quantitative Clinical Brain Glioblastoma Evaluation

PubMed Central

Zhu, Y; Young, G; Xue, Z; Huang, R; You, H; Setayesh, K; Hatabu, H; Cao, F; Wong, S.T.

2012-01-01

Rationale and Objectives Quantitative measurement provides essential information about disease progression and treatment response in patients with Glioblastoma multiforme (GBM). The goal of this paper is to present and validate a software pipeline for semi-automatic GBM segmentation, called AFINITI (Assisted Follow-up in NeuroImaging of Therapeutic Intervention), using clinical data from GBM patients. Materials and Methods Our software adopts the current state-of-the-art tumor segmentation algorithms and combines them into one clinically usable pipeline. Both the advantages of the traditional voxel-based and the deformable shape-based segmentation are embedded into the software pipeline. The former provides an automatic tumor segmentation scheme based on T1- and T2-weighted MR brain data, and the latter refines the segmentation results with minimal manual input. Results Twenty six clinical MR brain images of GBM patients were processed and compared with manual results. The results can be visualized using the embedded graphic user interface (GUI). Conclusion Validation results using clinical GBM data showed high correlation between the AFINITI results and manual annotation. Compared to the voxel-wise segmentation, AFINITI yielded more accurate results in segmenting the enhanced GBM from multimodality MRI data. The proposed pipeline could be used as additional information to interpret MR brain images in neuroradiology. PMID:22591720

March of the Living, a Holocaust Educational Tour: An Assessment of Anxiety and Depression.

PubMed

Nager, Alan L; Pham, Phung; Grajower, Sarah N; Gold, Jeffrey I

2016-06-01

March of the Living (MOTL) is a 2-week international educational tour for high school seniors to learn about the Holocaust by visiting concentration/deaths camps and other Jewish historical sites in Poland, culminating in a week-long excursion in Israel. Although the trip is primarily educational, there is recent research evidence to suggest that attendees may suffer from a variety of mental health sequelae. To determine symptoms of anxiety and depression, 196 Los Angeles delegation participants voluntarily completed the State-Trait Anxiety Inventory, composed of a trait anxiety scale (i.e., STAI-T) and a state anxiety scale (i.e., STAI-S), and the Center for Epidemiologic Studies Depression Scale (CES-D). Pre-MOTL, students completed an initial background questionnaire along with the STAI-T, STAI-S, and the CES-D. At end-Poland and end-Israel, the STAI-S and CES-D were administered again. Results demonstrated that depression scores increased during end-Poland and returned to baseline; however, anxiety scores mildly increased end-Poland and rose slightly more and persisted through end-Israel.

Longitudinal pathways of sexual victimization, sexual self-esteem, and depression in women and men.

PubMed

Krahé, Barbara; Berger, Anja

2017-03-01

This article presents a longitudinal analysis of the links between sexual assault victimization, depression, and sexual self-esteem by examining their cross-lagged paths among both men and women. Male and female college students (N = 2,425) in Germany participated in the study that comprised 3 data waves in their first, second, and third year of university, separated by 12-month intervals. Sexual assault victimization was assessed at Time 1 (T1) since the age of 14 and at Time 2 (T2) and Time 3 (T3) for the last 12 months. Depression and sexual self-esteem were measured at each wave. Random-intercept cross-lagged panel analyses, controlling for individual differences in depression and sexual self-esteem, showed that sexual assault at T1 predicted depression and lower sexual self-esteem at T2, and depression and lower self-esteem at T2 predicted sexual assault victimization at T3. In addition, significant paths were found from T1 depression to T2 sexual assault victimization and from T2 sexual assault victimization to depression at T3. Sexual victimization at T1 was indirectly linked to sexual victimization at T3 via depression at T2. Both depression and sexual self-esteem at T1 were indirectly linked to sexual victimization at T3. The paths did not differ significantly between men and women. Sexual assault victimization was shown to be a risk factor for both depression as a general mental health indicator and lowered sexual self-esteem as a specific outcome in the domain of sexuality. Moreover, depression and sexual self-esteem increased the vulnerability for sexual assault victimization, which has implications for prevention and intervention efforts. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The first determination of Trichuris sp. from roe deer by amplification and sequenation of the ITS1-5.8S-ITS2 segment of ribosomal DNA.

PubMed

Salaba, O; Rylková, K; Vadlejch, J; Petrtýl, M; Scháňková, S; Brožová, A; Jankovská, I; Jebavý, L; Langrová, I

2013-03-01

Trichuris nematodes were isolated from roe deer (Capreolus capreolus). At first, nematodes were determined using morphological and biometrical methods. Subsequently genomic DNA was isolated and the ITS1-5.8S-ITS2 segment from ribosomal DNA (RNA) was amplified and sequenced using PCR techniques. With u sing morphological and biometrical methods, female nematodes were identified as Trichuris globulosa, and the only male was identified as Trichuris ovis. The females were classified into four morphotypes. However, analysis of the internal transcribed spacers (ITS1-5.8S-ITS2) of specimens did not confirm this classification. Moreover, the female individuals morphologically determined as T. globulosa were molecularly identified as Trichuris discolor. In the case of the only male molecular analysis match the result of the molecular identification. Furthermore, a comparative phylogenetic study was carried out with the ITS1 and ITS2 sequences of the Trichuris species from various hosts. A comparison of biometric information from T. discolor individuals from this study was also conducted.

The temptation of suicide: striatal gray matter, discounting of delayed rewards, and suicide attempts in late-life depression

PubMed Central

Dombrovski, Alexandre Y.; Siegle, Greg J.; Szanto, Katalin; Clark, Luke; Reynolds, Charles F.; Aizenstein, Howard

2012-01-01

Background Converging evidence implicates basal ganglia alterations in impulsivity and suicidal behavior. For example, D2/D3 agonists and subthalamic nucleus stimulation in Parkinson’s disease trigger impulse control disorders and possibly suicidal behavior. Further, suicidal behavior has been associated with structural basal ganglia abnormalities. Finally, low-lethality, unplanned suicide attempts are associated with increased discounting of delayed rewards, a behavior dependent upon the striatum. Thus, we tested whether, in late-life depression, changes in the basal ganglia were associated with suicide attempts and with increased delay discounting. Methods Fifty-two persons aged ≥60 underwent extensive clinical and cognitive characterization: 33 with major depression (13 suicide attempters [SA], 20 non-suicidal depressed elderly), and 19 non-depressed controls. Participants had high-resolution T1-weighted MPRAGE MRI scans. Basal ganglia gray matter voxel counts were estimated using atlas-based segmentation, with a highly-deformable automated algorithm. Discounting of delayed rewards was assessed using the Monetary Choice Questionnaire, and delay aversion with the Cambridge Gamble Task. Results SA had lower putamen but not caudate or pallidum gray matter voxel counts, compared to the control groups. This difference persisted after accounting for substance use disorders and possible brain injury from suicide attempts. SA with lower putamen gray matter voxel counts displayed higher delay discounting on the MCQ, but not delay aversion on the CGT. Secondary analyses revealed that SA had lower voxel counts in associative and possibly ventral, but not sensorimotor striatum. Conclusions Our findings, while limited by small sample size and case-control design, suggest that striatal lesions could contribute to suicidal behavior by increasing impulsivity. PMID:21999930

Association between obesity and depressive symptoms among U.S. Military active duty service personnel, 2002.

PubMed

Kress, Amii M; Peterson, Michael R; Hartzell, Michael C

2006-03-01

The association between obesity and depression remains equivocal. The purpose of this study was to describe the prevalence and association of obesity and depressive symptoms among military personnel. A cross-sectional analysis was performed using data (N=10,040) from the U.S. Department of Defense (DoD) Survey of Health-Related Behaviors. Prevalence odds ratios were calculated to describe the association between obesity and depressive symptoms. Approximately 10% of active duty men and 4% of active duty women were obese. The prevalence of depressive symptoms ranged from approximately 16% of overweight men to 49% of obese women. Obese men and women and underweight men had increased odds of depressive symptoms as compared with normal-weight individuals. The DoD should emphasize prevention and regular screening for obesity and depressive symptoms to improve readiness and reduce health care costs and disease burden in this cohort.

Reconstruction of 7T-Like Images From 3T MRI

PubMed Central

Bahrami, Khosro; Shi, Feng; Zong, Xiaopeng; Shin, Hae Won; An, Hongyu

2016-01-01

In the recent MRI scanning, ultra-high-field (7T) MR imaging provides higher resolution and better tissue contrast compared to routine 3T MRI, which may help in more accurate and early brain diseases diagnosis. However, currently, 7T MRI scanners are more expensive and less available at clinical and research centers. These motivate us to propose a method for the reconstruction of images close to the quality of 7T MRI, called 7T-like images, from 3T MRI, to improve the quality in terms of resolution and contrast. By doing so, the post-processing tasks, such as tissue segmentation, can be done more accurately and brain tissues details can be seen with higher resolution and contrast. To do this, we have acquired a unique dataset which includes paired 3T and 7T images scanned from same subjects, and then propose a hierarchical reconstruction based on group sparsity in a novel multi-level Canonical Correlation Analysis (CCA) space, to improve the quality of 3T MR image to be 7T-like MRI. First, overlapping patches are extracted from the input 3T MR image. Then, by extracting the most similar patches from all the aligned 3T and 7T images in the training set, the paired 3T and 7T dictionaries are constructed for each patch. It is worth noting that, for the training, we use pairs of 3T and 7T MR images from each training subject. Then, we propose multi-level CCA to map the paired 3T and 7T patch sets to a common space to increase their correlations. In such space, each input 3T MRI patch is sparsely represented by the 3T dictionary and then the obtained sparse coefficients are used together with the corresponding 7T dictionary to reconstruct the 7T-like patch. Also, to have the structural consistency between adjacent patches, the group sparsity is employed. This reconstruction is performed with changing patch sizes in a hierarchical framework. Experiments have been done using 13 subjects with both 3T and 7T MR images. The results show that our method outperforms previous

Obesity and onset of depression among U.S. middle-aged and older adults.

PubMed

Xiang, Xiaoling; An, Ruopeng

2015-03-01

This paper aims to examine the relationship between obesity and onset of depression among U.S. middle-aged and older adults. Data came from 1994 to 2010 waves of the Health and Retirement Study. Study sample consisted of 6514 community-dwelling adults born between 1931 and 1941 who were free of clinically relevant depressive symptoms in 1994. Body mass index (BMI) was calculated from self-reported height/weight. Body weight status was classified into normal weight (18.5kg/m(2)≤BMI<25kg/m(2)), overweight (25kg/m(2)≤BMI<30kg/m(2)), and obesity (BMI≥30kg/m(2)). A score of ≥3 on the 8-item Center for Epidemiologic Studies Depression Scale was used to define clinically relevant depressive symptoms. Kaplan-Meier estimator and time-dependent Cox proportional hazards model were performed to examine the association between body weight status and onset of clinically relevant depressive symptoms. Unhealthy body weight was associated future onset of depression. Compared with their normal weight counterparts, overweight and obese participants were 13% (hazard ratio [HR]=1.13, 95% confidence interval [CI]=1.04-1.23) and 9% (HR=1.09, 95% CI=1.01-1.18) more likely to have onset of clinically relevant depressive symptoms during the 16years of follow-up, respectively. The relationship between obesity and depression onset appeared stronger among females and non-Hispanic whites than their male and racial/ethnic minority counterparts. Health care providers should be aware of the potential risk for depression among obese older adults. Copyright © 2014 Elsevier Inc. All rights reserved.

Serum S100B as a Surrogate Biomarker in the Diagnoses of Burnout and Depression in Emergency Medicine Residents.

PubMed

Gulen, Bedia; Serinken, Mustafa; Eken, Cenker; Karcıoglu, Özgür; Kucukdagli, Okkes Taha; Kilic, Elif; Akpinar, Guleser; Nogay, Suleyman; Kuh, Mahmut

2016-07-01

Burnout syndrome is recognized as a major global problem among emergency healthcare workers as it causes prevalent fatigue, job separations, and disappointment. The objective of this study was to investigate the relationship of the glial marker S100B in sera of emergency physicians with burnout syndrome and depression. This was a prospective observational study of emergency medicine residents in three distinct university-based departments of emergency medicine. S100B levels were measured before and after the shifts. In addition, the resident completed the Maslach Burnout Inventory (MBI) and the Beck Depression Inventory (BDI) prior to starting the shift. S100B levels were compared to the occurrence of burnout syndrome and depression as measured by the MBI and BDI. Forty-eight of 53 emergency medicine residents actively working in the three university-based EDs participated in the study. The majority of the sample had BDI scores compatible with severe depression (n = 37, 77.1%). The median scores of MBI for emotional exhaustion, depersonalization, and personal accomplishment were 29 (interquartile range [IQR] = 25 to 33), 14 (IQR = 12 to 18), and 26.5 (IQR = 22 to 31), respectively. S100B levels were found to correlate best with scores of BDI and emotional exhaustion in burnout syndrome. The difference between median S100B levels recorded in the residents with severe depression and moderate depression was found statistically significant (median [IQR] = 150 [145 to 151] vs. 135 [128 to 140]; p = 0.0005). This is also true for S100B levels detected before and after night shifts (median [IQR] = 146 [136.5 to 153.2] and 149.5 [139-158], respectively; difference = 3, 95% confidence interval = 2 to 4 [p = 0.001]). S100B levels correlate with depression scores and emotional exhaustion in burnout syndrome. The findings suggest that S100B can be used as a marker to screen emergency medicine residents and detect individuals with high risk for depression and burnout syndrome

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.

PubMed

Zheng, Guoyan; Chu, Chengwen; Belavý, Daniel L; Ibragimov, Bulat; Korez, Robert; Vrtovec, Tomaž; Hutt, Hugo; Everson, Richard; Meakin, Judith; Andrade, Isabel Lŏpez; Glocker, Ben; Chen, Hao; Dou, Qi; Heng, Pheng-Ann; Wang, Chunliang; Forsberg, Daniel; Neubert, Aleš; Fripp, Jurgen; Urschler, Martin; Stern, Darko; Wimmer, Maria; Novikov, Alexey A; Cheng, Hui; Armbrecht, Gabriele; Felsenberg, Dieter; Li, Shuo

2017-01-01

The evaluation of changes in Intervertebral Discs (IVDs) with 3D Magnetic Resonance (MR) Imaging (MRI) can be of interest for many clinical applications. This paper presents the evaluation of both IVD localization and IVD segmentation methods submitted to the Automatic 3D MRI IVD Localization and Segmentation challenge, held at the 2015 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2015) with an on-site competition. With the construction of a manually annotated reference data set composed of 25 3D T2-weighted MR images acquired from two different studies and the establishment of a standard validation framework, quantitative evaluation was performed to compare the results of methods submitted to the challenge. Experimental results show that overall the best localization method achieves a mean localization distance of 0.8 mm and the best segmentation method achieves a mean Dice of 91.8%, a mean average absolute distance of 1.1 mm and a mean Hausdorff distance of 4.3 mm, respectively. The strengths and drawbacks of each method are discussed, which provides insights into the performance of different IVD localization and segmentation methods. Copyright © 2016 Elsevier B.V. All rights reserved.

Effects of Maternal Negativity and of Early and Recent Recurrent Depressive Disorder on Children’s False Belief Understanding

PubMed Central

Rohrer, Lisa M.; Cicchetti, Dante; Rogosch, Fred A.; Toth, Sheree L.; Maughan, Angeline

2015-01-01

Research has shown that children of depressed mothers are at risk for problems in a variety of developmental domains; however, little is known about the effects of maternal depression on children’s emerging understanding of false beliefs. In this study, three false belief tasks were administered to five-year-old children whose mothers had either met criteria for major depressive disorder within the first 20 months of the child’s life (n = 91) or had never been depressed (n = 50). Significant difficulties in performance were found among the children of depressed mothers, especially those whose mothers had experienced early and recent recurrent depressive disorder. Regardless of diagnostic status, children whose mothers exhibited negativity during problem-solving tasks administered at an earlier developmental period also were less likely to demonstrate false belief understanding. These effects remained even after child verbal ability was controlled. PMID:21244156

Crystal Structure and Theoretical Analysis of Green Gold Au 30 (S- t Bu) 18 Nanomolecules and Their Relation to Au 30 S(S- t Bu) 18

DOE Office of Scientific and Technical Information (OSTI.GOV)

Dass, Amala; Jones, Tanya; Rambukwella, Milan

We report the complete X-ray crystallographic structure as determined through single crystal X-ray diffraction and a thorough theoretical analysis of the green gold Au30(S-tBu)18. While the structure of Au30S(S-tBu)18 with 19 sulfur atoms has been reported, the crystal structure of Au30(S-tBu)18 without the μ3-sulfur has remained elusive until now, though matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) and electrospray ionization mass spectrometry (ESI-MS) data unequivocally shows its presence in abundance. The Au30(S-tBu)18 nanomolecule is not only distinct in its crystal structure but has unique temperature dependent optical properties. Structure determination allows a rigorous comparison and an excellent agreement with theoreticalmore » predictions of structure, stability, and optical response.« less

Example based lesion segmentation

NASA Astrophysics Data System (ADS)

Roy, Snehashis; He, Qing; Carass, Aaron; Jog, Amod; Cuzzocreo, Jennifer L.; Reich, Daniel S.; Prince, Jerry; Pham, Dzung

2014-03-01

Automatic and accurate detection of white matter lesions is a significant step toward understanding the progression of many diseases, like Alzheimer's disease or multiple sclerosis. Multi-modal MR images are often used to segment T2 white matter lesions that can represent regions of demyelination or ischemia. Some automated lesion segmentation methods describe the lesion intensities using generative models, and then classify the lesions with some combination of heuristics and cost minimization. In contrast, we propose a patch-based method, in which lesions are found using examples from an atlas containing multi-modal MR images and corresponding manual delineations of lesions. Patches from subject MR images are matched to patches from the atlas and lesion memberships are found based on patch similarity weights. We experiment on 43 subjects with MS, whose scans show various levels of lesion-load. We demonstrate significant improvement in Dice coefficient and total lesion volume compared to a state of the art model-based lesion segmentation method, indicating more accurate delineation of lesions.

Depressive symptoms and type 2 diabetes mellitus in rural appalachia: an 18-month follow-up study.

PubMed

de Groot, Mary; Doyle, Todd; Averyt, Jennifer; Risaliti, Carleen; Shubroo, Jay

2015-01-01

Despite high rates of diabetes and depression in rural areas, limited data exists to document patterns and predictors of depressive symptoms in rural patients with type 2 diabetes (T2DM). The purpose of this study was to assess the rates and predictors of co-morbid depressive symptoms over an 18-month period in a cohort of rural Appalachian adults with T2DM. N = 100 adult T2DM patients were recruited from family medicine and endocrinology practices located in the rural Appalachian counties of southeastern Ohio and West Virginia. Data were collected using a longitudinal observational survey design. The sample consisted of predominantly White (93%) females (62%) who were married (71%), completed high school or less (48%), and had a mean age of 60 years (SD 11). Mean BDI score was 14.0 (SD 12) with 27% scoring in the moderate/severe range for depressive symptoms. A majority of patients (77%) reported depressive symptoms, at both time points, with 88% of these reporting consistent depressive symptoms in the year prior to study follow-up. Patients with depressive symptoms at Time 1 and Time 2 did not differ from other groups in the number of treatment strategies or medications used. Predictors of depressive symptoms in this group were increased diabetes treatment complexity (OR = 2.3), lack of home ownership (OR = 11.4), and decreased satisfaction with antidepressant medications (OR = 2.0; χ(2) = 28.9, p < .0001). Rural T2DM patients reported high rates of repeated depressive symptoms without corresponding rates of depression treatment. These patients may benefit from close monitoring and ongoing adjustment of their treatment for depression and diabetes by primary care providers. © 2015, The Author(s).

Volcanic evolution of an active magmatic rift segment on a 100 Kyr timescale: exposure dating of lavas from the Manda Hararo/Dabbahu segment of the Afar Rift

NASA Astrophysics Data System (ADS)

Medynski, S.; Williams, A.; Pik, R.; Burnard, P.; Vye, C.; France, L.; Ayalew, D.; Yirgu, G.

2012-12-01

In the Afar depression (Ethiopia), extension is already organised along rift segments which morphologically resemble oceanic rifts. Segmentation here results from interactions between dyke injection and volcanism, as observed during the well documented 2005 event on the Dabbahu rift segment. During this tectono-volcanic crisis, a megadyke was injected, followed by 12 subsequent dike intrusions, sometimes associated with fissure flow eruptions. Despite the accurate surveying of the magmatic and tectonic interplay during this event via remote sensing techniques, there is a lack of data on timescales of 1 to 100 kyr, the period over which the main morphology of a rift is acquired. The Dabbahu rift segment represents an ideal natural laboratory to study the evolution of rift morphology as a response to volcanic and tectonic influences. It is possible to constrain the timing of fault growth relative to the infilling of the rift axial depression by lava flows, and to assess the influence of the different magma bodies involved in lava production along the rift-segment. We use cosmogenic nuclides (3He) to determine the ages of young (<100 kyr) lava flows and to date the initiation and movement of fault scarps which cut the lavas. Combined with major & trace element compositions, field mapping and digital cartography (Landsat, ASTER and SPOT imagery), the rift geomorphology can be linked to the magmatic and tectonic history defined by surface exposure dating. The results show that over the last 100 ka the Northern part of the Dabbahu segment was supplied by two different magma reservoirs which can be identified based on their distinctive chemistries. The main reservoir is located beneath Dabbahu volcano, and has been supplied with magma for at least 72 ka. This magmatic centre supplies magma to most of the northern third of the rift segment. The second reservoir is located further south, on the axis, close to the current mid-segment magma chamber, which was responsible for

Hierarchical Image Segmentation of Remotely Sensed Data using Massively Parallel GNU-LINUX Software

NASA Technical Reports Server (NTRS)

Tilton, James C.

2003-01-01

A hierarchical set of image segmentations is a set of several image segmentations of the same image at different levels of detail in which the segmentations at coarser levels of detail can be produced from simple merges of regions at finer levels of detail. In [1], Tilton, et a1 describes an approach for producing hierarchical segmentations (called HSEG) and gave a progress report on exploiting these hierarchical segmentations for image information mining. The HSEG algorithm is a hybrid of region growing and constrained spectral clustering that produces a hierarchical set of image segmentations based on detected convergence points. In the main, HSEG employs the hierarchical stepwise optimization (HSWO) approach to region growing, which was described as early as 1989 by Beaulieu and Goldberg. The HSWO approach seeks to produce segmentations that are more optimized than those produced by more classic approaches to region growing (e.g. Horowitz and T. Pavlidis, [3]). In addition, HSEG optionally interjects between HSWO region growing iterations, merges between spatially non-adjacent regions (i.e., spectrally based merging or clustering) constrained by a threshold derived from the previous HSWO region growing iteration. While the addition of constrained spectral clustering improves the utility of the segmentation results, especially for larger images, it also significantly increases HSEG s computational requirements. To counteract this, a computationally efficient recursive, divide-and-conquer, implementation of HSEG (RHSEG) was devised, which includes special code to avoid processing artifacts caused by RHSEG s recursive subdivision of the image data. The recursive nature of RHSEG makes for a straightforward parallel implementation. This paper describes the HSEG algorithm, its recursive formulation (referred to as RHSEG), and the implementation of RHSEG using massively parallel GNU-LINUX software. Results with Landsat TM data are included comparing RHSEG with classic

Assessing the Effects of Software Platforms on Volumetric Segmentation of Glioblastoma

PubMed Central

Dunn, William D.; Aerts, Hugo J.W.L.; Cooper, Lee A.; Holder, Chad A.; Hwang, Scott N.; Jaffe, Carle C.; Brat, Daniel J.; Jain, Rajan; Flanders, Adam E.; Zinn, Pascal O.; Colen, Rivka R.; Gutman, David A.

2017-01-01

Background Radiological assessments of biologically relevant regions in glioblastoma have been associated with genotypic characteristics, implying a potential role in personalized medicine. Here, we assess the reproducibility and association with survival of two volumetric segmentation platforms and explore how methodology could impact subsequent interpretation and analysis. Methods Post-contrast T1- and T2-weighted FLAIR MR images of 67 TCGA patients were segmented into five distinct compartments (necrosis, contrast-enhancement, FLAIR, post contrast abnormal, and total abnormal tumor volumes) by two quantitative image segmentation platforms - 3D Slicer and a method based on Velocity AI and FSL. We investigated the internal consistency of each platform by correlation statistics, association with survival, and concordance with consensus neuroradiologist ratings using ordinal logistic regression. Results We found high correlations between the two platforms for FLAIR, post contrast abnormal, and total abnormal tumor volumes (spearman’s r(67) = 0.952, 0.959, and 0.969 respectively). Only modest agreement was observed for necrosis and contrast-enhancement volumes (r(67) = 0.693 and 0.773 respectively), likely arising from differences in manual and automated segmentation methods of these regions by 3D Slicer and Velocity AI/FSL, respectively. Survival analysis based on AUC revealed significant predictive power of both platforms for the following volumes: contrast-enhancement, post contrast abnormal, and total abnormal tumor volumes. Finally, ordinal logistic regression demonstrated correspondence to manual ratings for several features. Conclusion Tumor volume measurements from both volumetric platforms produced highly concordant and reproducible estimates across platforms for general features. As automated or semi-automated volumetric measurements replace manual linear or area measurements, it will become increasingly important to keep in mind that measurement

Cognitive behavioral therapy for depression in Japanese Parkinson’s disease patients: a pilot study

PubMed Central

Shinmei, Issei; Kobayashi, Kei; Oe, Yuki; Takagishi, Yuriko; Kanie, Ayako; Ito, Masaya; Takebayashi, Yoshitake; Murata, Miho; Horikoshi, Masaru; Dobkin, Roseanne D

2016-01-01

Objectives This study evaluated the feasibility of cognitive behavioral therapy (CBT) for Japanese Parkinson’s disease (PD) patients with depression. To increase cultural acceptability, we developed the CBT program using manga, a type of Japanese comic novel. Methods Participants included 19 non-demented PD patients who had depressive symptoms (GRID-Hamilton Rating Scale for Depression score ≥8). A CBT program comprising six sessions was individually administered. We evaluated the feasibility and safety of the CBT program in terms of the dropout rate and occurrence of adverse events. The primary outcome was depressive symptom reduction in the GRID-Hamilton Rating Scale for Depression upon completion of CBT. Secondary outcomes included changes in the self-report measures of depression (Beck Depression Inventory-II, Hospital Anxiety and Depression Scale-Depression), anxiety (Hospital Anxiety and Depression Scale-Anxiety, State and Trait Anxiety Inventory, Overall Anxiety Severity and Impairment Scale), functional impairment, and quality of life (Medical Outcomes Study 36-Item Short-Form Health Survey). Results Of the 19 participants (mean age =63.8 years, standard deviation [SD] =9.9 years; mean Hohen–Yahr score =1.7, SD =0.8), one patient (5%) withdrew. No severe adverse event was observed. The patients reported significant improvements in depression (Hedges’ g =−1.02, 95% confidence interval =−1.62 to −0.39). The effects were maintained over a 3-month follow-up period. Most of the secondary outcome measurements showed a small-to-moderate but nonsignificant effect size from baseline to post-intervention. Conclusion This study provides preliminary evidence that CBT is feasible among Japanese PD patients with depression. Similar approaches may be effective for people with PD from other cultural backgrounds. The results warrant replication in a randomized controlled trial. PMID:27354802

A systematic evaluation of three different cardiac T2-mapping sequences at 1.5 and 3T in healthy volunteers.

PubMed

Baeßler, Bettina; Schaarschmidt, Frank; Stehning, Christian; Schnackenburg, Bernhard; Maintz, David; Bunck, Alexander C

2015-11-01

Previous studies showed that myocardial T2 relaxation times measured by cardiac T2-mapping vary significantly depending on sequence and field strength. Therefore, a systematic comparison of different T2-mapping sequences and the establishment of dedicated T2 reference values is mandatory for diagnostic decision-making. Phantom experiments using gel probes with a range of different T1 and T2 times were performed on a clinical 1.5T and 3T scanner. In addition, 30 healthy volunteers were examined at 1.5 and 3T in immediate succession. In each examination, three different T2-mapping sequences were performed at three short-axis slices: Multi Echo Spin Echo (MESE), T2-prepared balanced SSFP (T2prep), and Gradient Spin Echo with and without fat saturation (GraSEFS/GraSE). Segmented T2-Maps were generated according to the AHA 16-segment model and statistical analysis was performed. Significant intra-individual differences between mean T2 times were observed for all sequences. In general, T2prep resulted in lowest and GraSE in highest T2 times. A significant variation with field strength was observed for mean T2 in phantom as well as in vivo, with higher T2 values at 1.5T compared to 3T, regardless of the sequence used. Segmental T2 values for each sequence at 1.5 and 3T are presented. Despite a careful selection of sequence parameters and volunteers, significant variations of the measured T2 values were observed between field strengths, MR sequences and myocardial segments. Therefore, we present segmental T2 values for each sequence at 1.5 and 3T with the inherent potential to serve as reference values for future studies. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Sampling-based ensemble segmentation against inter-operator variability

NASA Astrophysics Data System (ADS)

Huo, Jing; Okada, Kazunori; Pope, Whitney; Brown, Matthew

2011-03-01

Inconsistency and a lack of reproducibility are commonly associated with semi-automated segmentation methods. In this study, we developed an ensemble approach to improve reproducibility and applied it to glioblastoma multiforme (GBM) brain tumor segmentation on T1-weigted contrast enhanced MR volumes. The proposed approach combines samplingbased simulations and ensemble segmentation into a single framework; it generates a set of segmentations by perturbing user initialization and user-specified internal parameters, then fuses the set of segmentations into a single consensus result. Three combination algorithms were applied: majority voting, averaging and expectation-maximization (EM). The reproducibility of the proposed framework was evaluated by a controlled experiment on 16 tumor cases from a multicenter drug trial. The ensemble framework had significantly better reproducibility than the individual base Otsu thresholding method (p<.001).

Physical activity moderates the association between nicotine dependence and depression among U.S. smokers.

PubMed

Loprinzi, Paul D; Walker, Jerome F; Kane, Christy; Cardinal, Bradley J

2014-01-01

Research demonstrates that nicotine dependence and depression are associated and that physical activity is effective in reducing depression symptoms. However, our understanding of the potential beneficial effects of physical activity on depression in current smokers is more limited. The purpose of this study was to examine whether physical activity moderates the association between nicotine dependence and depression in U.S. smokers. Cross-sectional. National Health and Nutrition Examination Survey 2005-2006. Four hundred forty-one current adult smokers. Participants wore an accelerometer for at least 4 days and completed questionnaires to assess nicotine dependence and depression. Effect modification and statistical interaction models were used. Both models were significant. With regard to the statistical interaction model, and after controlling for age, gender, race/ethnicity, education, comorbidity index, homocysteine, cotinine, total cholesterol, sedentary behavior, and vitamins C, D, and E, objectively measured physical activity moderated the association between nicotine dependence and depression (interaction variable: odds ratio = 3.43; 95% confidence interval: 1.02-11.51; p = .04). In this national sample of current smokers, physical activity moderated the association between nicotine dependence and depression. These results suggest that those individuals with nicotine dependence and who are less physically active are more likely to be depressed than what would be expected on the basis of the individual effects of nicotine and physical inactivity separately.

Diabetes-Related Distress, Depression and Distress-Depression among Adults with Type 2 Diabetes Mellitus in Malaysia.

PubMed

Chew, Boon-How; Vos, Rimke; Mohd-Sidik, Sherina; Rutten, Guy E H M

2016-01-01

Type 2 diabetes mellitus (T2DM) brings about an increasing psychosocial problem in adult patients. Prevalence data on and associated factors of diabetes related distress (DRD) and depression have been lacking in Asia. This study aimed to examine the prevalence of DRD and depression, and their associated factors in Asian adult T2DM patients. This study was conducted in three public health clinics measuring DRD (Diabetes Distress Scale, DDS), and depression (Patient Health Questionnaire, PHQ). Patients who were at least 30 years of age, had T2DM for more than one year, with regular follow-up and recent laboratory results (< 3 months) were consecutively recruited. Associations between DRD, depression and the combination DRD-depression with demographic and clinical characteristics were analysed using generalized linear models. From 752 invited people, 700 participated (mean age 56.9 years, 52.8% female, 52.9% Malay, 79.1% married). Prevalence of DRD and depression were 49.2% and 41.7%, respectively. Distress and depression were correlated, spearman's r = 0.50. Patients with higher DRD were younger (OR 0.995, 95% CI 0.996 to 0.991), Chinese (OR 1.2, 95% CI 1.04 to 1.29), attending Dengkil health clinic (OR 1.1, 95% CI 1.00 to 1.22) and had higher scores on the PHQ (OR 1.1, 95% CI 1.04 to 1.06). Depression was less likely in the unmarried compared to divorced/separately living and those attending Dengkil health clinic, but more likely in patients with microvascular complications (OR 1.4, 95% CI 1.06 to 1.73) and higher DDS (OR 1.03, 95% CI 1.02 to 1.03). For the combination of DRD and depression, unemployment (OR 4.7, 95% CI 1.02 to 21.20) had positive association, whereas those under medical care at the Salak health clinics (OR 0.28, 95% CI 0.12 to 0.63), and those with a blood pressure > 130/80 mmHg (OR 0.53, 95% CI 0.32 to 0.89) were less likely to experience both DRD and depression. DRD and depression were common and correlated in Asian adults with T2DM at primary

Long-Term Associations of Justice Sensitivity, Rejection Sensitivity, and Depressive Symptoms in Children and Adolescents

PubMed Central

Bondü, Rebecca; Sahyazici-Knaak, Fidan; Esser, Günter

2017-01-01

Depressive symptoms have been related to anxious rejection sensitivity, but little is known about relations with angry rejection sensitivity and justice sensitivity. We measured rejection sensitivity, justice sensitivity, and depressive symptoms in 1,665 9-to-21-year olds at two points of measurement. Participants with high T1 levels of depressive symptoms reported higher anxious and angry rejection sensitivity and higher justice sensitivity than controls at T1 and T2. T1 rejection, but not justice sensitivity predicted T2 depressive symptoms; high victim justice sensitivity, however, added to the stabilization of depressive symptoms. T1 depressive symptoms positively predicted T2 anxious and angry rejection and victim justice sensitivity. Hence, sensitivity toward negative social cues may be cause and consequence of depressive symptoms and requires consideration in cognitive-behavioral treatment of depression. PMID:28955257

Fast and accurate semi-automated segmentation method of spinal cord MR images at 3T applied to the construction of a cervical spinal cord template.

PubMed

El Mendili, Mohamed-Mounir; Chen, Raphaël; Tiret, Brice; Villard, Noémie; Trunet, Stéphanie; Pélégrini-Issac, Mélanie; Lehéricy, Stéphane; Pradat, Pierre-François; Benali, Habib

2015-01-01

To design a fast and accurate semi-automated segmentation method for spinal cord 3T MR images and to construct a template of the cervical spinal cord. A semi-automated double threshold-based method (DTbM) was proposed enabling both cross-sectional and volumetric measures from 3D T2-weighted turbo spin echo MR scans of the spinal cord at 3T. Eighty-two healthy subjects, 10 patients with amyotrophic lateral sclerosis, 10 with spinal muscular atrophy and 10 with spinal cord injuries were studied. DTbM was compared with active surface method (ASM), threshold-based method (TbM) and manual outlining (ground truth). Accuracy of segmentations was scored visually by a radiologist in cervical and thoracic cord regions. Accuracy was also quantified at the cervical and thoracic levels as well as at C2 vertebral level. To construct a cervical template from healthy subjects' images (n=59), a standardization pipeline was designed leading to well-centered straight spinal cord images and accurate probability tissue map. Visual scoring showed better performance for DTbM than for ASM. Mean Dice similarity coefficient (DSC) was 95.71% for DTbM and 90.78% for ASM at the cervical level and 94.27% for DTbM and 89.93% for ASM at the thoracic level. Finally, at C2 vertebral level, mean DSC was 97.98% for DTbM compared with 98.02% for TbM and 96.76% for ASM. DTbM showed similar accuracy compared with TbM, but with the advantage of limited manual interaction. A semi-automated segmentation method with limited manual intervention was introduced and validated on 3T images, enabling the construction of a cervical spinal cord template.

Fast and Accurate Semi-Automated Segmentation Method of Spinal Cord MR Images at 3T Applied to the Construction of a Cervical Spinal Cord Template

PubMed Central

El Mendili, Mohamed-Mounir; Trunet, Stéphanie; Pélégrini-Issac, Mélanie; Lehéricy, Stéphane; Pradat, Pierre-François; Benali, Habib

2015-01-01

Objective To design a fast and accurate semi-automated segmentation method for spinal cord 3T MR images and to construct a template of the cervical spinal cord. Materials and Methods A semi-automated double threshold-based method (DTbM) was proposed enabling both cross-sectional and volumetric measures from 3D T2-weighted turbo spin echo MR scans of the spinal cord at 3T. Eighty-two healthy subjects, 10 patients with amyotrophic lateral sclerosis, 10 with spinal muscular atrophy and 10 with spinal cord injuries were studied. DTbM was compared with active surface method (ASM), threshold-based method (TbM) and manual outlining (ground truth). Accuracy of segmentations was scored visually by a radiologist in cervical and thoracic cord regions. Accuracy was also quantified at the cervical and thoracic levels as well as at C2 vertebral level. To construct a cervical template from healthy subjects’ images (n=59), a standardization pipeline was designed leading to well-centered straight spinal cord images and accurate probability tissue map. Results Visual scoring showed better performance for DTbM than for ASM. Mean Dice similarity coefficient (DSC) was 95.71% for DTbM and 90.78% for ASM at the cervical level and 94.27% for DTbM and 89.93% for ASM at the thoracic level. Finally, at C2 vertebral level, mean DSC was 97.98% for DTbM compared with 98.02% for TbM and 96.76% for ASM. DTbM showed similar accuracy compared with TbM, but with the advantage of limited manual interaction. Conclusion A semi-automated segmentation method with limited manual intervention was introduced and validated on 3T images, enabling the construction of a cervical spinal cord template. PMID:25816143