Social and Behavioral Sciences Commons^™

Role Of The Default-Mode Network During Narrative Integration In Major Depressive Disorder, Darren Ri-Sheng Liang

Electronic Thesis and Dissertation Repository

How brain activity is synchronized across individuals during narrative comprehension has previously been characterized by functional magnetic resonance imaging (fMRI) in healthy and patient populations. To our knowledge, there has been limited investigation as to how it is affected by major depressive disorder (MDD). We addressed this issue with fMRI through examination of inter-subject synchronization in the default mode network (DMN), brain structures which have previously been implicated in MDD pathology. Twenty-two patients with MDD and 20 matched control participants listened to Intact versus Scrambled versions of an auditory narrative; these experimental conditions differed in the degree of temporal integration …

Diffusion Dispersion Imaging: Mapping Oscillating Gradient Spin-Echo Frequency Dependence In The Human Brain., Aidin Arbabi, Jason Kai, Ali R Khan, Corey A Baron

Brain and Mind Institute Researchers' Publications

PURPOSE: Oscillating gradient spin-echo (OGSE) diffusion MRI provides information about the microstructure of biological tissues by means of the frequency dependence of the apparent diffusion coefficient (ADC). ADC dependence on OGSE frequency has been explored in numerous rodent studies, but applications in the human brain have been limited and have suffered from low contrast between different frequencies, long scan times, and a limited exploration of the nature of the ADC dependence on frequency.

THEORY AND METHODS: Multiple frequency OGSE acquisitions were acquired in healthy subjects at 7T to explore the power-law frequency dependence of ADC, the "diffusion dispersion." Furthermore, a …

Depressogenic Self-Schemas Are Associated With Smaller Regional Grey Matter Volume In Never-Depressed Preadolescents, Pan Liu, Matthew R.J. Vandemeer, Marc F. Joanisse, Deanna M. Barch, David J.A. Dozois, Elizabeth P. Hayden

Brain and Mind Institute Researchers' Publications

© 2020 The Author(s) Self-referential processing (i.e., self-schemas that guide processing of self-descriptive information) emerges early in youth, with deeper encoding of negative self-descriptors and/or shallower encoding of positive self-descriptors causally linked to depression. However, the relationship between depressogenic self-schemas and brain structure is unclear. We investigated associations between self-schemas and regional grey matter volume (GMV) in 84 never-depressed preadolescents oversampled for depression risk based on maternal depression history. Self-schemas were assessed using a Self-Referent Encoding Task (SRET) and regional GMV was indexed via voxel-based morphometry analysis of structural magnetic resonance imaging data. Youths’ positive self-schemas were associated with greater …

Orbitofrontal Cortex Grey Matter Volume Is Related To Children's Depressive Symptoms, Matthew R.J. Vandermeer, Pan Liu, Ola Mohamed Ali, Andrew R. Daoust, Marc F. Joanisse, Deanna M. Barch, Elizabeth P. Hayden

Brain and Mind Institute Researchers' Publications

© 2020 The Author(s) Adults with a history of depression show distinct patterns of grey matter volume (GMV) in frontal cortical (e.g., prefrontal cortex, orbitofrontal cortex) and limbic (e.g., anterior cingulate, amygdala, hippocampus, dorsal striatum) structures, regions relevant to the processing and regulation of reward, which is impaired in the context of depression. However, it is unclear whether these GMV associations with depression precede depressive disorder onset or whether GMV is related to early emerging symptoms or familial depression. To address these questions, we used voxel-based morphometry (VBM) to examine GMV in 85 community-dwelling children (M = 11.12 years, SD …

Depressogenic Self-Schemas Are Associated With Smaller Regional Grey Matter Volume In Never-Depressed Preadolescents, Pan Liu, Matthew R.J. Vandemeer, Marc F. Joanisse, Deanna M. Barch, David J.A. Dozois, Elizabeth P. Hayden

Brain and Mind Institute Researchers' Publications

© 2020 The Author(s) Self-referential processing (i.e., self-schemas that guide processing of self-descriptive information) emerges early in youth, with deeper encoding of negative self-descriptors and/or shallower encoding of positive self-descriptors causally linked to depression. However, the relationship between depressogenic self-schemas and brain structure is unclear. We investigated associations between self-schemas and regional grey matter volume (GMV) in 84 never-depressed preadolescents oversampled for depression risk based on maternal depression history. Self-schemas were assessed using a Self-Referent Encoding Task (SRET) and regional GMV was indexed via voxel-based morphometry analysis of structural magnetic resonance imaging data. Youths’ positive self-schemas were associated with greater …

Orbitofrontal Cortex Grey Matter Volume Is Related To Children's Depressive Symptoms, Matthew R.J. Vandermeer, Pan Liu, Ola Mohamed Ali, Andrew R. Daoust, Marc F. Joanisse, Deanna M. Barch, Elizabeth P. Hayden

Brain and Mind Institute Researchers' Publications

© 2020 The Author(s) Adults with a history of depression show distinct patterns of grey matter volume (GMV) in frontal cortical (e.g., prefrontal cortex, orbitofrontal cortex) and limbic (e.g., anterior cingulate, amygdala, hippocampus, dorsal striatum) structures, regions relevant to the processing and regulation of reward, which is impaired in the context of depression. However, it is unclear whether these GMV associations with depression precede depressive disorder onset or whether GMV is related to early emerging symptoms or familial depression. To address these questions, we used voxel-based morphometry (VBM) to examine GMV in 85 community-dwelling children (M = 11.12 years, SD …

Changes In Depression And Positive Mental Health Among Youth In A Healthy Relationships Program, Natalia Lapshina, Claire Crooks, Amanda Kerry

Journal Articles

Mental health promotion programming in schools and community settings is an important part of a comprehensive mental health strategy. The goal of this study was to identify and explore meaningful classes of youth based on their pre- and post-intervention depression symptoms scores with 722 youth involved in a 15-week healthy relationships and mental health promotion program. We utilized latent class growth analysis to identify depression class trajectories, controlling for group clustering effects. A three-class solution identified high decreasing, moderate stable, and low stable trajectories. Gender, age, and reported experience of bullying victimization predicted trajectory class membership. The low stable class …

An Analysis Of The Relationship Between Humor Styles And Depression, Marisa L. Kfrerer

Electronic Thesis and Dissertation Repository

The present study examined the relationship between humor styles and depression using two methods of examination: (1) the mean humor style differences between individuals who reported that they had been diagnosed with depression versus those who did not report being depressed; and (2) a short scale assessing depressed affect. Participants were 878 adult Australians. With respect to mean differences, depressed individuals were found to use self-defeating humor more, and self-enhancing humor less than non-depressed adults. When the depressed affect scale score was analyzed, negative correlations were found between depressed affect and both positive styles of humor, affiliative and self-enhancing. Additionally, …

Insomnia, Psychiatric Disorders And Suicidal Ideation In A National Representative Sample Of Active Canadian Forces Members, Don Richardson, A. Thompson, Lisa King, B. Corbett, P. Shnaider, K. St Cyr, C. Nelson, J. Sareen, Jon Elhai, M. Zamorski

MacDonald Franklin OSI Research Centre

Background

Past research on the association between insomnia and suicidal ideation (SI) has produced mixed findings. The current study explored the relationship between insomnia, SI, and past-year mental health status among a large Canadian Forces (CF) sample.

Method

Data was obtained from the 2013 Canadian Forces Mental Health Survey (CFMHS), and included a large representative sample of Canadian Regular Forces personnel (N = 6700). A series of univariate logistic regressions were conducted to test individual associations between past-year mental health status, insomnia, and potential confounds and SI. Mental health status included three groups: 0, 1, or two or more …

Stability Of Self-Referent Encoding Task Performance And Associations With Change In Depressive Symptoms From Early To Middle Childhood., Brandon L Goldstein, Elizabeth P Hayden, Daniel N Klein

Brain and Mind Institute Researchers' Publications

Depressed individuals exhibit memory biases on the self-referent encoding task (SRET), such that those with depression exhibit poorer recall of positive, and enhanced recall of negative, trait adjectives (referred to as positive and negative processing biases). However, it is unclear when SRET biases emerge, whether they are stable, and if biases predict, or are predicted by, depressive symptoms. To address this, a community sample of 434 children completed the SRET and a depressive symptoms measure at ages 6 and 9. Negative and positive processing exhibited low, but significant, stability. At ages 6 and 9, depressive symptoms correlated with higher negative, …

Fusion Analysis Of First Episode Depression: Where Brain Shape Deformations Meet Local Composition Of Tissue., Mahdi Ramezani, Purang Abolmaesumi, Amir Tahmasebi, Rachael Bosma, Ryan Tong, Tom Hollenstein, Kate Harkness, Ingrid Johnsrude

Brain and Mind Institute Researchers' Publications

Computational neuroanatomical techniques that are used to evaluate the structural correlates of disorders in the brain typically measure regional differences in gray matter or white matter, or measure regional differences in the deformation fields required to warp individual datasets to a standard space. Our aim in this study was to combine measurements of regional tissue composition and of deformations in order to characterize a particular brain disorder (here, major depressive disorder). We use structural Magnetic Resonance Imaging (MRI) data from young adults in a first episode of depression, and from an age- and sex-matched group of non-depressed individuals, and create …

Preventing Mental Distress In The Military, Charles Nelson, Kate St. Cyr, Bradley Corbett, Elisa Hurley, Shannon Gifford, Jon D. Elhaid, J. Donald Richardson

RDC@Western Research Highlights

No abstract provided.