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Social and Behavioral Sciences Commons

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Articles 1 - 5 of 5

Full-Text Articles in Social and Behavioral Sciences

Functional Mri Evaluation Of Multiple Neural Networks Underlying Auditory Verbal Hallucinations In Schizophrenia Spectrum Disorders., Robert J. Thoma, Charlotte Chaze, Jeffrey David Lewine, Vince D. Calhoun, Vincent P. Clark, Juan Bustillo, Jon Houck, Judith Ford, Rose Bigelow, Corbin Wilhelmi, Julia M. Stephen, Jessica A. Turner Mar 2016

Functional Mri Evaluation Of Multiple Neural Networks Underlying Auditory Verbal Hallucinations In Schizophrenia Spectrum Disorders., Robert J. Thoma, Charlotte Chaze, Jeffrey David Lewine, Vince D. Calhoun, Vincent P. Clark, Juan Bustillo, Jon Houck, Judith Ford, Rose Bigelow, Corbin Wilhelmi, Julia M. Stephen, Jessica A. Turner

Psychology Faculty Publications

Functional MRI studies have identified a distributed set of brain activations to be asso­ ciated with auditory verbal hallucinations (AVH). However, very little is known about how activated brain regions may be linked together into AVH-generating networks. Fifteen volunteers with schizophrenia or schizoaffective disorder pressed buttons to indicate onset and offset of AVH during fMRI scanning. When a general linear model was used to compare blood oxygenation level dependence signals during periods in which subjects indicated that they were versus were not experiencing AVH ("AVH-on" versus "AVH-off"), it revealed AVH-related activity in bilateral inferior frontal and superior temporal regions; the …


A Tool For Interactive Data Visualization: Application To Over 10,000 Brain Imaging And Phantom Mri Data Sets, Sandeep R. Panta, Runtang Wang, Jill Fries, Ravi Kalyanam, Nicole Speer, Marie Banich, Kent Keihl, Margaret King, Michael Milham, Tor D. Wager, Jessica Turner, Sergey M. Plis, Vince D. Calhoun Mar 2016

A Tool For Interactive Data Visualization: Application To Over 10,000 Brain Imaging And Phantom Mri Data Sets, Sandeep R. Panta, Runtang Wang, Jill Fries, Ravi Kalyanam, Nicole Speer, Marie Banich, Kent Keihl, Margaret King, Michael Milham, Tor D. Wager, Jessica Turner, Sergey M. Plis, Vince D. Calhoun

Psychology Faculty Publications

In this paper we propose a web-based approach for quick visualization of big data from brain magnetic resonance imaging (MRI) scans using a combination of an automated image capture and processing system, nonlinear embedding, and interactive data visualization tools. We draw upon thousands of MRI scans captured via the COllaborative Imaging and Neuroinformatics Suite (COINS). We then interface the output of several analysis pipelines based on structural and functional data to a t-distributed stochastic neighbor embedding (t-SNE) algorithm which reduces the number of dimensions for each scan in the input data set to two dimensions while preserving the local structure …


Higher Dimensional Meta-State Analysis Reveals Reduced Resting Fmri Connectivity Dynamism In Schizophrenia Patients, Robyn L. Miller, Maziar Yaesoubi, Jessica Turner, Daniel H. Mathalon, Adrian Preda, Godfrey Pearlson, Tulay Adali, Vince D. Calhoun Mar 2016

Higher Dimensional Meta-State Analysis Reveals Reduced Resting Fmri Connectivity Dynamism In Schizophrenia Patients, Robyn L. Miller, Maziar Yaesoubi, Jessica Turner, Daniel H. Mathalon, Adrian Preda, Godfrey Pearlson, Tulay Adali, Vince D. Calhoun

Psychology Faculty Publications

Resting-state functional brain imaging studies of network connectivity have long assumed that functional connections are stationary on the timescale of a typical scan. Interest in moving beyond this simplifying assumption has emerged only recently. The great hope is that training the right lens on time-varying properties of whole-brain network connectivity will shed additional light on previously concealed brain activation patterns characteristic of serious neurological or psychiatric disorders. We present evidence that multiple explicitly dynamical properties of time-varying whole-brain network connectivity are strongly associated with schizophrenia, a complex mental illness whose symptomatic presentation can vary enormously across subjects. As with so …


Quadratic Associations Between Empathy And Depression And The Moderating Influence Of Dysregulation, Erin Tully, Alyssa M. Ames, Sarah E. Garcia, Meghan R. Donohue Jan 2016

Quadratic Associations Between Empathy And Depression And The Moderating Influence Of Dysregulation, Erin Tully, Alyssa M. Ames, Sarah E. Garcia, Meghan R. Donohue

Psychology Faculty Publications

Empathic tendencies have been associated with interpersonal and psychological benefits, but empathy at extreme levels or in combination with certain personal characteristics may contribute to risk for depression. This study tested the moderating role of cognitive emotion regulation in depression’s association with empathy using nonlinear models. Young adults (N=304; 77% female; M=19 years) completed measures of cognitive emotion regulation strategies, depression, and affective and cognitive empathy. Individuals with good regulation had low levels of depression overall and their depression symptoms were lowest when levels of affective empathy were average. Individuals with poor regulation had high levels of depression overall, particularly …


Family Correlates Of Daughter’S And Son’S Locus Of Control Expectancies During Childhood, Erin Tully, Jackson M. Gray, Sherryl H. Goodman, Stephen Nowicki Jr. Jan 2016

Family Correlates Of Daughter’S And Son’S Locus Of Control Expectancies During Childhood, Erin Tully, Jackson M. Gray, Sherryl H. Goodman, Stephen Nowicki Jr.

Psychology Faculty Publications

Children who expect they can bring about good outcomes and avoid bad outcomes tend to experience more personal successes. Little is known about factors that contribute to these ‘control expectancies’. The purpose of the present study was to determine whether children’s internal control expectancies occur in the context of parents’ internal control expectancies, low family strain, and high family cohesiveness and whether these factors are more strongly related to daughters’ than sons’ control expectancies. A community sample of 85 children aged 9 to 11 years old and their parents (85 mothers; 63 fathers) completed rating scales. Fathers’ more internal control …