A phase-shifting anterior-posterior network organizes global phase relations.

ABSTRACT: Prior research has identified a variety of task-dependent networks that form through inter-regional phase-locking of oscillatory activity that are neural correlates of specific behaviors. Despite ample knowledge of task-specific functional networks, general rules governing global phase relations have not been investigated. To discover such general rules, we focused on phase modularity, measured as the degree to which global phase relations in EEG comprised distinct synchronized clusters interacting with one another at large phase lags. Synchronized clusters were detected with a standard community-detection algorithm, and the degree of phase modularity was quantified by the index q. Notably, we found that the mechanism controlling phase modularity is remarkably simple. A network comprising

SUBMITTER: Menceloglu M 

PROVIDER: S-EPMC10861041 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature