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The structural connectome constrains fast brain dynamics

P Sorrentino, View ORCID ProfileC Seguin, View ORCID ProfileR Rucco, View ORCID ProfileM Liparoti, View ORCID ProfileE Troisi Lopez, View ORCID ProfileS Bonavita, View ORCID ProfileM Quarantelli, View ORCID ProfileG Sorrentino, View ORCID ProfileV Jirsa, View ORCID ProfileA Zalesky
doi: https://doi.org/10.1101/2020.11.25.393017
P Sorrentino
1Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
2Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy
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  • For correspondence: pierpaolo.SORRENTINO@univ-amu.fr
C Seguin
3University of Melbourne, Melbourne, Australia
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R Rucco
4Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
5Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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M Liparoti
4Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
5Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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E Troisi Lopez
4Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
5Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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S Bonavita
6University of Campania Luigi Vanvitelli. Caserta, Italy
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M Quarantelli
7Biostructure and Bioimaging Institute, National Research Council, Naples, Italy
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G Sorrentino
4Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
5Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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V Jirsa
1Institut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
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A Zalesky
3University of Melbourne, Melbourne, Australia
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Abstract

Brain activity during rest displays complex, rapidly evolving patterns in space and time. Structural connections comprising the human connectome are hypothesized to impose constraints on the dynamics of this activity. Here, we use magnetoencephalography (MEG) to quantify the extent to which fast neural dynamics in the human brain are constrained by structural connections inferred from diffusion MRI tractography. We characterize the spatio-temporal unfolding of whole-brain activity at the millisecond scale from source-reconstructed MEG data, estimating the probability that any two brain regions will activate at consecutive time epochs. We find that the structural connectome profoundly shapes rapid spreading of neuronal avalanches, evidenced by a significant association between these transition probabilities and structural connectivity strengths (r=0.30-0.38, p<0.0001). This finding opens new avenues to study the relationship between brain structure and neural dynamics.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* Co-senior authors

  • All sections of the paper have been modified and implemented to facilitate a better understanding of the study.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted February 04, 2021.
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The structural connectome constrains fast brain dynamics
P Sorrentino, C Seguin, R Rucco, M Liparoti, E Troisi Lopez, S Bonavita, M Quarantelli, G Sorrentino, V Jirsa, A Zalesky
bioRxiv 2020.11.25.393017; doi: https://doi.org/10.1101/2020.11.25.393017
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The structural connectome constrains fast brain dynamics
P Sorrentino, C Seguin, R Rucco, M Liparoti, E Troisi Lopez, S Bonavita, M Quarantelli, G Sorrentino, V Jirsa, A Zalesky
bioRxiv 2020.11.25.393017; doi: https://doi.org/10.1101/2020.11.25.393017

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