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Brain criticality predicts individual synchronization levels in humans

Marco Fuscà, View ORCID ProfileFelix Siebenhühner, View ORCID ProfileSheng H. Wang, View ORCID ProfileVladislav Myrov, View ORCID ProfileGabriele Arnulfo, View ORCID ProfileLino Nobili, View ORCID ProfileJ. Matias Palva, View ORCID ProfileSatu Palva
doi: https://doi.org/10.1101/2022.11.24.517800
Marco Fuscà
1Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, United Kingdom
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
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Felix Siebenhühner
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
3BioMag laboratory, HUS Medical Imaging Center, Helsinki, Finland
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Sheng H. Wang
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
4Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
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Vladislav Myrov
4Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
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Gabriele Arnulfo
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
5Dept. of Informatics, Bioengineering, Robotics and System engineering, University of Genoa, Genoa, Italy
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Lino Nobili
6Child Neuropsychiatry Unit, IRCCS, Istituto G. Gaslini, Department of Neuroscience (DINOGMI), University of Genoa, Italy
7Epilepsy Surgery Centre “Claudio Munari”, Niguarda Hospital, Milan, Italy
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J. Matias Palva
1Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, United Kingdom
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
4Department of Neuroscience and Biomedical Engineering, Aalto University, Helsinki, Finland
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Satu Palva
1Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, United Kingdom
2Neuroscience Center, HiLIFE-Helsinki Institute of Life Science, University of Helsinki, Finland
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  • For correspondence: satu.palva@glasgow.ac.uk
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Abstract

Moderate levels of synchronization of neuronal oscillations are essential for healthy brain dynamics. Synchronization levels exhibit large inter-individual variability the origins of which are unknown. Neuronal systems have been postulated to operate near a critical transition point or in an extended regime between disorder (subcritical) and order (supercritical phase) characterized by moderate synchronization and emergent power-law long-range temporal correlations (LRTCs). We investigated whether inter-individual variability in synchronization levels is explained by the individual position along the critical regime by analyzing magnetoencephalography (MEG) and intra-cerebral stereo-electroencephalography (SEEG) human resting-state data. Here we show that variability in synchronization levels exhibits a positive linear and quadratic relationships with LRTCs in healthy participants and brain areas. In the epileptogenic zone this correlation was negative. These results show that variability in synchronization levels is regulated by the individual position along an extended critical-like regime, with healthy brain areas tending to operate in its subcritical and epileptogenic areas in its supercritical side.

Competing Interest Statement

The authors have declared no competing interest.

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Posted November 24, 2022.
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Brain criticality predicts individual synchronization levels in humans
Marco Fuscà, Felix Siebenhühner, Sheng H. Wang, Vladislav Myrov, Gabriele Arnulfo, Lino Nobili, J. Matias Palva, Satu Palva
bioRxiv 2022.11.24.517800; doi: https://doi.org/10.1101/2022.11.24.517800
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Brain criticality predicts individual synchronization levels in humans
Marco Fuscà, Felix Siebenhühner, Sheng H. Wang, Vladislav Myrov, Gabriele Arnulfo, Lino Nobili, J. Matias Palva, Satu Palva
bioRxiv 2022.11.24.517800; doi: https://doi.org/10.1101/2022.11.24.517800

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