Dynamic functional connectivity correlates of mental workload.

ABSTRACT: Tasks with high mental workload often involve higher cognitive functions of the human brain and complex information flow involving multiple brain regions. However, the dynamics of functional connectivity between brain regions during high mental workload have not been well-studied. We use an analysis approach designed to find repeating network states from gamma-band phase locking value networks built from electroencephalograph data collected while participants engaged in tasks with different levels of mental workload. First, we define network states as results of clustering based on the closeness centrality node-level network metric. Second, we found that the transition between network states is not completely random. And, we found significant differences in network state statistics between

SUBMITTER: Xu Z 

PROVIDER: S-EPMC11564506 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature