Large-scale dynamic causal modeling of major depressive disorder based on resting-state functional magnetic resonance imaging.

ABSTRACT: Major depressive disorder (MDD) is a serious mental illness characterized by dysfunctional connectivity among distributed brain regions. Previous connectome studies based on functional magnetic resonance imaging (fMRI) have focused primarily on undirected functional connectivity and existing directed effective connectivity (EC) studies concerned mostly task-based fMRI and incorporated only a few brain regions. To overcome these limitations and understand whether MDD is mediated by within-network or between-network connectivities, we applied spectral dynamic causal modeling to estimate EC of a large-scale network with 27 regions of interests from four distributed functional brain networks (default mode, executive control, salience, and limbic networks), based on large sample-size resting-st

SUBMITTER: Li G 

PROVIDER: S-EPMC7268036 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature