Sex differences in functional network dynamics observed using coactivation pattern analysis.

ABSTRACT: Sex differences in the organization of large-scale resting-state brain networks have been identified using traditional static measures, which average functional connectivity over extended time periods. In contrast, emerging dynamic measures have the potential to define sex differences in network changes over time, providing additional understanding of neurobiological sex differences. To meet this goal, we used a Coactivation Pattern Analysis (CAP) using resting-state functional magnetic resonance imaging data from 181 males and 181 females from the Human Connectome Project. Significant main effects of sex were observed across two independent imaging sessions. Relative to males, females spent more total time in two transient network states (TNSs) spatially overlapping with the dorsal attent

SUBMITTER: Murray L 

PROVIDER: S-EPMC8448790 | biostudies-literature | 2021 Jul-Oct

REPOSITORIES: biostudies-literature