Segregation, integration, and balance of large-scale resting brain networks configure different cognitive abilities.

ABSTRACT: Diverse cognitive processes set different demands on locally segregated and globally integrated brain activity. However, it remains an open question how resting brains configure their functional organization to balance the demands on network segregation and integration to best serve cognition. Here we use an eigenmode-based approach to identify hierarchical modules in functional brain networks and quantify the functional balance between network segregation and integration. In a large sample of healthy young adults (n = 991), we combine the whole-brain resting state functional magnetic resonance imaging (fMRI) data with a mean-filed model on the structural network derived from diffusion tensor imaging and demonstrate that resting brain networks are on average close to a balanced state. This

SUBMITTER: Wang R 

PROVIDER: S-EPMC8201916 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature