The structural connectome constrains fast brain dynamics

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 neu...

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Main Authors: Pierpaolo Sorrentino, Caio Seguin, Rosaria Rucco, Marianna Liparoti, Emahnuel Troisi Lopez, Simona Bonavita, Mario Quarantelli, Giuseppe Sorrentino, Viktor Jirsa, Andrew Zalesky
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2021-07-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/67400
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author Pierpaolo Sorrentino
Caio Seguin
Rosaria Rucco
Marianna Liparoti
Emahnuel Troisi Lopez
Simona Bonavita
Mario Quarantelli
Giuseppe Sorrentino
Viktor Jirsa
Andrew Zalesky
author_facet Pierpaolo Sorrentino
Caio Seguin
Rosaria Rucco
Marianna Liparoti
Emahnuel Troisi Lopez
Simona Bonavita
Mario Quarantelli
Giuseppe Sorrentino
Viktor Jirsa
Andrew Zalesky
author_sort Pierpaolo Sorrentino
collection DOAJ
description 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 significantly deviate from baseline activity in consecutive time epochs. We find that the structural connectome relates to, and likely affects, the rapid spreading of neuronal avalanches, evidenced by a significant association between these transition probabilities and structural connectivity strengths (r = 0.37, p<0.0001). This finding opens new avenues to study the relationship between brain structure and neural dynamics.
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spelling doaj.art-538f44d672bc4b98b2ab654052c549a12022-12-22T04:29:21ZengeLife Sciences Publications LtdeLife2050-084X2021-07-011010.7554/eLife.67400The structural connectome constrains fast brain dynamicsPierpaolo Sorrentino0https://orcid.org/0000-0002-9556-9800Caio Seguin1Rosaria Rucco2https://orcid.org/0000-0003-0943-131XMarianna Liparoti3https://orcid.org/0000-0003-2192-6841Emahnuel Troisi Lopez4https://orcid.org/0000-0002-0220-2672Simona Bonavita5Mario Quarantelli6https://orcid.org/0000-0001-7836-454XGiuseppe Sorrentino7https://orcid.org/0000-0003-0800-2433Viktor Jirsa8https://orcid.org/0000-0002-8251-8860Andrew Zalesky9Aix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, France; Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy; Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, ItalyUniversity of Melbourne, Melbourne, AustraliaDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, ItalyDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, ItalyDepartment of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy; Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, ItalyUniversity of Campania Luigi Vanvitelli, Caserta, ItalyBiostructure and Bioimaging Institute, National Research Council, Naples, ItalyInstitute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, ItalyAix-Marseille University, Inserm, INS, Institut de Neurosciences des Systèmes, Marseille, FranceUniversity of Melbourne, Melbourne, AustraliaBrain 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 significantly deviate from baseline activity in consecutive time epochs. We find that the structural connectome relates to, and likely affects, the rapid spreading of neuronal avalanches, evidenced by a significant association between these transition probabilities and structural connectivity strengths (r = 0.37, p<0.0001). This finding opens new avenues to study the relationship between brain structure and neural dynamics.https://elifesciences.org/articles/67400brain dynamicsbrain networksmagnetoencephalographysystems neuroscience
spellingShingle Pierpaolo Sorrentino
Caio Seguin
Rosaria Rucco
Marianna Liparoti
Emahnuel Troisi Lopez
Simona Bonavita
Mario Quarantelli
Giuseppe Sorrentino
Viktor Jirsa
Andrew Zalesky
The structural connectome constrains fast brain dynamics
eLife
brain dynamics
brain networks
magnetoencephalography
systems neuroscience
title The structural connectome constrains fast brain dynamics
title_full The structural connectome constrains fast brain dynamics
title_fullStr The structural connectome constrains fast brain dynamics
title_full_unstemmed The structural connectome constrains fast brain dynamics
title_short The structural connectome constrains fast brain dynamics
title_sort structural connectome constrains fast brain dynamics
topic brain dynamics
brain networks
magnetoencephalography
systems neuroscience
url https://elifesciences.org/articles/67400
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