Control theory illustrates the energy efficiency in the dynamic reconfiguration of functional connectivity.

ABSTRACT: The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state. This fluctuation establishes the dynamical functional connectivity that transitions in a non-random order between multiple modes. Yet it remains unexplored how the transition facilitates the entire brain network as a dynamical system and what utility this mechanism for dynamic reconfiguration can bring over the widely used graph theoretical measurements. To address these questions, we propose to conduct an energetic analysis of functional brain networks using resting-state fMRI and behavioral measurements from the Human Connectome Project. Through comparing the state transition energy under distinct adjacent matrices, we justify that dynamic functional co

SUBMITTER: Deng S 

PROVIDER: S-EPMC8975837 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature