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

Author

Listed:
  • Marco Fuscà

    (University of Glasgow
    University of Helsinki)

  • Felix Siebenhühner

    (University of Helsinki
    BioMag Laboratory, HUS Medical Imaging Center, University of Helsinki, Aalto University, and Helsinki University Hospital)

  • Sheng H. Wang

    (University of Helsinki
    Aalto University
    CEA, NeuroSpin
    Université Paris-Saclay)

  • Vladislav Myrov

    (Aalto University)

  • Gabriele Arnulfo

    (University of Helsinki
    University of Genoa)

  • Lino Nobili

    (University of Genoa
    “Claudio Munari” Epilepsy Surgery Centre, Niguarda Hospital)

  • J. Matias Palva

    (University of Glasgow
    University of Helsinki
    Aalto University)

  • Satu Palva

    (University of Glasgow
    University of Helsinki)

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 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.

Suggested Citation

  • Marco Fuscà & Felix Siebenhühner & Sheng H. Wang & Vladislav Myrov & Gabriele Arnulfo & Lino Nobili & J. Matias Palva & Satu Palva, 2023. "Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40056-9
    DOI: 10.1038/s41467-023-40056-9
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    References listed on IDEAS

    as
    1. G. Arnulfo & S. H. Wang & V. Myrov & B. Toselli & J. Hirvonen & M. M. Fato & L. Nobili & F. Cardinale & A. Rubino & A. Zhigalov & S. Palva & J. M. Palva, 2020. "Long-range phase synchronization of high-frequency oscillations in human cortex," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    2. Paolo Moretti & Miguel A. Muñoz, 2013. "Griffiths phases and the stretching of criticality in brain networks," Nature Communications, Nature, vol. 4(1), pages 1-10, December.
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