Altered spatio-temporal state patterns for functional dynamics estimation in first-episode drug-naive major depression.

ABSTRACT: Patients with major depressive disorder (MDD) display affective and cognitive impairments. Although MDD-associated abnormalities of brain function and structure have been explored in depth, the relationships between MDD and spatio-temporal large-scale functional networks have not been evaluated in large-sample datasets. We employed data from International Big-Data Center for Depression Research (IBCDR), and comparable 543 healthy controls (HC) and 314 first-episode drug-naive (FEDN) MDD patients were included. We used a multivariate pattern classification method to learn informative spatio-temporal functional states. Brain states of each participant were extracted for functional dynamic estimation using an independent component analysis. Then, a multi-kernel pattern classification method w

SUBMITTER: Jing R 

PROVIDER: S-EPMC9638404 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature