Clinical reappraisal of the Composite International Diagnostic Interview Screening Scales (CIDI‐SC) in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

A clinical reappraisal study was carried out in conjunction with the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) All‐Army Study (AAS) to evaluate concordance of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM‐IV) diagnoses based on the Composite International Diagnostic Interview Screening Scales (CIDI‐SC) and post‐traumatic stress disorder (PTSD) checklist (PCL) with diagnoses based on independent clinical reappraisal interviews (Structured Clinical Interview for DSM‐IV [SCID]). Diagnoses included: lifetime mania/hypomania, panic disorder, and intermittent explosive disorder; six‐month adult attention‐deficit/hyperactivity disorder; and 30‐day major depressive episode, generalized anxiety disorder, PTSD, and substance (alcohol or drug) use disorder (abuse or dependence). The sample ( n  = 460) was weighted for over‐sampling CIDI‐SC/PCL screened positives. Diagnostic thresholds were set to equalize false positives and false negatives. Good individual‐level concordance was found between CIDI‐SC/PCL and SCID diagnoses at these thresholds (area under curve [AUC] = 0.69–0.79). AUC was considerably higher for continuous than dichotomous screening scale scores (AUC = 0.80–0.90), arguing for substantive analyses using not only dichotomous case designations but also continuous measures of predicted probabilities of clinical diagnoses. Copyright © 2013 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102145/1/mpr1398.pd

Regulating the high: Cognitive and neural processes underlying positive emotion regulation in Bipolar I Disorder

Although it is well established that Bipolar Disorder (BD) is characterized by excessive positive emotionality, the cognitive and neural processes that underlie such responses are unclear. We addressed this issue by examining the role that an emotion regulatory process called self-distancing plays in two potentially different BD phenotypes—BD with vs. without a history of psychosis—and healthy individuals. Participants reflected on a positive autobiographical memory and then rated their level of spontaneous self-distancing. Neurophysiological activity was continuously monitored using electroencephalogram. As predicted, participants with BD who have a history of psychosis spontaneously self-distanced less and displayed greater neurophysiological signs of positive emotional reactivity compared to the other two groups. These findings shed light on the cognitive and neural mechanisms underlying excessive positive emotionality in BD. They also suggest that individuals with BD who have a history of psychosis may represent a distinct clinical phenotype characterized by dysfunctional emotion regulation

Novel genetic loci associated with hippocampal volume

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg =-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness

Denoising scanner effects from multimodal MRI data using linked independent component analysis

Pooling magnetic resonance imaging (MRI) data across research studies, or utilizing shared data from imaging repositories, presents exceptional opportunities to advance and enhance reproducibility of neuroscience research. However, scanner confounds hinder pooling data collected on different scanners or across software and hardware upgrades on the same scanner, even when all acquisition protocols are harmonized. These confounds reduce power and can lead to spurious findings. Unfortunately, methods to address this problem are scant. In this study, we propose a novel denoising approach that implements a data-driven linked independent component analysis (LICA) to identify scanner-related effects for removal from multimodal MRI to denoise scanner effects. We utilized multi-study data to test our proposed method that were collected on a single 3T scanner, pre- and post-software and major hardware upgrades and using different acquisition parameters. Our proposed denoising method shows a greater reduction of scanner-related variance compared with standard GLM confound regression or ICA-based single-modality denoising. Although we did not test it here, for combining data across different scanners, LICA should prove even better at identifying scanner effects as between-scanner variability is generally much larger than within-scanner variability. Our method has great promise for denoising scanner effects in multi-study and in large-scale multi-site studies that may be confounded by scanner differences.Open access articleThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

Analyzing and Interpreting Eye Movements in C++: Using Holistic Models of Image Perception

This study uses holistic models of image perception originating from radiology and psychology to analyze and interpret eye movements during code reviews in the C++ programming language. The study design is based on former experiments, but is supplemented by approaches from expertise research. The study utilizes a sample of 34 subjects whose eye movements are recorded by a Tobii Pro Spectrum 600 Hz. The results show that the holistic models of image perception are suitable for application to source code. In addition, it can be observed that the code reviews are conducted in phases, which are characterized by certain strategies (e.g. scan, error detection,...). Furthermore, experience-related differences can be detected between experts and novices, which emphasize that experts use elaborate strategies and have a comparatively better ability to collect and process information from source code

Size Limits and Fission Channels of Doubly Charged Noble Gas Clusters

Small, highly charged liquid droplets are unstable with respect to spontaneous charge separation when their size drops below the Rayleigh limit or, in other words, their fissility parameter X exceeds the value 1. The absence of small doubly charged atomic cluster ions in mass spectra below an element-specific appearance size na has sometimes been attributed to the onset of barrierless fission at X = 1. However, more realistic models suggest that na marks the size below which the rate of fission surpasses that of competing dissociative channels, and the Rayleigh limit of doubly charged van der Waals clusters has remained unchartered. Here we explore a novel approach to form small dicationic clusters, namely by Penning ionization of singly charged noble gas (Ng) clusters that are embedded in helium nanodroplets; the dications are then gently extracted from the nanodroplets by low-energy collisions with helium gas. We observe Ngn2+ ions that are about 40 % smaller than previously reported for xenon and krypton and about 20 % for argon. These findings suggest that fission barriers have been underestimated in previous theoretical work. Furthermore, we measure the size distributions of fragment ions that are produced by collisional excitation of mass-selected dications. At lowest collision gas pressure, dicationic Kr and Xe clusters that are smaller than previously observed are found to evaporate an atom before they undergo highly symmetric fission. The distribution of fragments resulting from fission of small dicationic Ar clusters is bimodal

Neutrophils in the Spotlight—An Analysis of Neutrophil Function and Phenotype in ARDS

Acute respiratory distress syndrome (ARDS) is a complex disease pattern in which pathogenesis polymorphonuclear neutrophil granulocytes (PMN) play a key role. In previous experiments, we could show that interaction with collagen III (an important component of pulmonary tissue) is a possible trigger of neutrophil reactive oxygen species (ROS) production. To investigate possible correlations, further elucidate ARDS pathophysiology, and maybe find pharmacological targets, we evaluated PMNs from blood (circulating PMNs: cPMNs) and tracheal secretion (tPMNs) from patients with and without ARDS with regard to function and phenotype. Blood samples and tracheal secretions were obtained from intensive care patients with and without ARDS. Isolation of cPMN was performed by density-gradient gravity sedimentation without centrifugation. For tPMN isolation, endotracheal aspirate was filtered, and tPMNs were separated from the remaining aspirate using a particle filter. Specific surface epitopes (CD66b, CD62L, fMLP-receptor, LOX-1, CD49d, CD29, CD11b) of the isolated PMN cells were labeled with antibody-coupled dyes and analyzed by flow cytometry. Neutrophil ROS production before and after activation with N-formyl-methyl-leucyl-phenylalanine (fMLP) and tumor necrosis factor α (TNFα) was quantified using rhodamine-123. In addition, a qualitative cytological hematoxylin-eosin (HE) staining was performed with a portion of the secretion. tPMNs were observed in both bloody and mucosal tracheal secretions from ARDS patients. The epitope distribution on cPMNs and tPMNs differed significantly in patients with and without ARDS: tPMNs generally showed increased expression of CD66b, LOX-1 and fMLP-receptor compared to cPMNs, and decreased expression of CD62L. The CD49d levels of all cPMNs were at the same level as tPMNs in ARDS, whereas CD49d expression was increased on tPMNs without ARDS. ROS production was significantly stimulated by fMLP/TNFα in cPMNs regardless of the patient group, while it was similarly increased in tPMNs with and without stimulation. Increased expression of CD66b, LOX-1 and fMLP-receptor on tPMNs indicated a higher activity status compared to cPMNs. Increased CD49d expression on tPMNs without ARDS marks different PMN surface changes in lung disease. PMNs appear to be in a more activated state in lung secretions than in blood, as indicated by higher CD66b and lower CD62L expression, higher constitutive ROS production and lower excitability with fMLP and TNFα. In the context of possible CD49d-triggered ROS production, it is noteworthy that CD49d is downregulated in secretion from patients with ARDS compared to patients without. This phenotypic and functional PMN characterization can provide valuable diagnostic and therapeutic information for the intensive care treatment of ARDS patients