Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data.

ABSTRACT: Neuronal oscillations and their synchronization between brain areas are fundamental for healthy brain function. Yet, synchronization levels exhibit large inter-individual variability that is associated with behavioral variability. We test whether individual synchronization levels are predicted by individual brain states along an extended regime of critical-like dynamics - the Griffiths phase (GP). We use computational modelling to assess how synchronization is dependent on brain criticality indexed by long-range temporal correlations (LRTCs). We analyze LRTCs and synchronization of oscillations from resting-state magnetoencephalography and stereo-electroencephalography data. Synchronization and LRTCs are both positively linearly and quadratically correlated among healthy subjects, while in

SUBMITTER: Fusca M 

PROVIDER: S-EPMC10406818 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature