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The structural connectome constrains fast brain dynamics

View ORCID ProfilePierpaolo Sorrentino, View ORCID ProfileCaio Seguin, View ORCID ProfileRosaria Rucco, View ORCID ProfileMarianna Liparoti, View ORCID ProfileEmahnuel Troisi Lopez, View ORCID ProfileSimona Bonavita, View ORCID ProfileMario Quarantelli, View ORCID ProfileGiuseppe Sorrentino, View ORCID ProfileViktor Jirsa, View ORCID ProfileAndrew Zalesky
doi: https://doi.org/10.1101/2020.11.25.393017
Pierpaolo Sorrentino
aInstitut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
bInstitute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy
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  • For correspondence: pierpaolo.sorrentino@gmail.com
Caio Seguin
cUniversity of Melbourne, Melbourne, Australia
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Rosaria Rucco
dDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
eInstitute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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Marianna Liparoti
dDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
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Emahnuel Troisi Lopez
dDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
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Simona Bonavita
fUniversity of Campania Luigi Vanvitelli, Caserta, Italy
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Mario Quarantelli
gBiostructure and Bioimaging Institute, National Research Council, Naples, Italy
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Giuseppe Sorrentino
dDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
eInstitute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
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Viktor Jirsa
aInstitut de Neurosciences des Systèmes, Aix-Marseille University, Marseille, France
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Andrew Zalesky
cUniversity 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

  • ↵1 Pierpaolo Sorrentino, MD, PhD, Email: pierpaolo.SORRENTINO{at}univ-amu.fr

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

Copyright 
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 January 25, 2021.
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The structural connectome constrains fast brain dynamics
Pierpaolo Sorrentino, Caio Seguin, Rosaria Rucco, Marianna Liparoti, Emahnuel Troisi Lopez, Simona Bonavita, Mario Quarantelli, Giuseppe Sorrentino, Viktor Jirsa, Andrew 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
Pierpaolo Sorrentino, Caio Seguin, Rosaria Rucco, Marianna Liparoti, Emahnuel Troisi Lopez, Simona Bonavita, Mario Quarantelli, Giuseppe Sorrentino, Viktor Jirsa, Andrew Zalesky
bioRxiv 2020.11.25.393017; doi: https://doi.org/10.1101/2020.11.25.393017

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