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Resting-state functional connectivity and depression
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Lesnewich, Laura Marie. Resting-state functional connectivity and depression. Retrieved from https://doi.org/doi:10.7282/t3-b9a7-vn51

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TitleResting-state functional connectivity and depression
NameLesnewich, Laura Marie (author); Bates, Marsha E (chair); Selby, Edward A (internal member); Silverstein, Steven M (internal member); Biswal, Bharat B (outside member); Rutgers University; School of Graduate Studies
Date Created2018
Other Date2018-10 (degree)
SubjectPsychology, Depression, Mental--Diagnosis
Extent1 online resource (53 pages) : illustrations
DescriptionDepressive disorders are heterogeneous and their diagnoses have poor reliability. There is a need to understand the biological mechanisms of depression to improve assessment, diagnosis, and treatment. The default mode network (DMN), central executive network (CEN), and salience network (SN) are large-scale neural networks that have been implicated in depression. The present study examined how resting-state functional connectivity within and between these three networks is associated with individual differences in depression severity as well as rumination and emotion dysregulation, two transdiagnostic features associated with depression. Data were collected via functional magnetic resonance imaging (fMRI) using a standard resting- state paradigm. Resting-state data for n = 59 participants were analyzed using independent component analysis. Functional connectivity values between core nodes of the DMN, CEN, and SN were calculated using Pearson correlation, and these connectivity values were correlated to continuous measures of depression severity, rumination, and emotion dysregulation across the whole sample. Functional connectivity between the right dorsolateral prefrontal cortex (CEN) and paracingulate gyrus (CEN) was positively correlated (p < 0.05) to depression severity. Functional connectivity between the left dorsolateral prefrontal cortex (CEN) and left inferior parietal lobule (DMN) was negatively correlated (p < 0.05) to depression severity. These associations were no longer significant after correction for multiple comparisons. Each pair of brain regions was additionally correlated to a distinct pattern of rumination and emotion dysregulation scores. If replicated, the present findings could add knowledge about how resting-state functional connectivity varies with individual differences in depression severity and related constructs.
NoteM.S.
NoteIncludes bibliographical references
Noteby Laura Marie Lesnewich
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/t3-b9a7-vn51
Languageeng
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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