Data from: Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data
Description
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 epileptogenic areas they are negatively linearly correlated. These results show that variability in synchronization levels is explained by the individual position along the GP with healthy brain areas operating in its subcritical and epileptogenic areas in its supercritical side. We suggest that the GP is fundamental for brain function allowing individual variability while retaining functional advantages of criticality.
Show moreYear of publication
2023
Authors
University of Genoa - Contributor
University of Glasgow - Contributor
University of Helsinki - Contributor
Zenodo - Publisher
Other information
Fields of science
Neurosciences
Open access
Open
License
Creative Commons CC0 1.0 Universal (CC0 1.0) Public Domain Dedication