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Resting-state functional connectivity and depression

Year: 2018
Type: article
Study design: Observational Study
Abstract: Depressive 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.
DOI: 10.7282/t3-b9a7-vn51
Language: English
Open Access status: green
OpenAlex ID: W2937765399
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