Data from: Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data

Kuvaus

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.
Näytä enemmän

Julkaisuvuosi

2023

Aineiston tyyppi

Tekijät

Department of Neuroscience and Biomedical Engineering

Felix Siebenhühner - Tekijä

Gabriele Arnulfo - Tekijä

J Matias Palva - Tekijä

Lino Nobili - Tekijä

Marco Fusca - Tekijä

Satu Palva - Tekijä

Sheng H. Wang - Tekijä

Vladislav Myrov Orcid -palvelun logo - Tekijä

University of Genoa - Muu tekijä

University of Glasgow - Muu tekijä

University of Helsinki - Muu tekijä

Zenodo - Julkaisija

Projekti

Muut tiedot

Tieteenalat

Neurotieteet

Kieli

Saatavuus

Avoin

Lisenssi

Creative Commons Yleismaailmallinen (CC0 1.0) Public Domain lausuma

Avainsanat

Asiasanat

Ajallinen kattavuus

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