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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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Autores principales: Sorrentino, Pierpaolo, Seguin, Caio, Rucco, Rosaria, Liparoti, Marianna, Troisi Lopez, Emahnuel, Bonavita, Simona, Quarantelli, Mario, Sorrentino, Giuseppe, Jirsa, Viktor, Zalesky, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294846/
https://www.ncbi.nlm.nih.gov/pubmed/34240702
http://dx.doi.org/10.7554/eLife.67400
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author Sorrentino, Pierpaolo
Seguin, Caio
Rucco, Rosaria
Liparoti, Marianna
Troisi Lopez, Emahnuel
Bonavita, Simona
Quarantelli, Mario
Sorrentino, Giuseppe
Jirsa, Viktor
Zalesky, Andrew
author_facet Sorrentino, Pierpaolo
Seguin, Caio
Rucco, Rosaria
Liparoti, Marianna
Troisi Lopez, Emahnuel
Bonavita, Simona
Quarantelli, Mario
Sorrentino, Giuseppe
Jirsa, Viktor
Zalesky, Andrew
author_sort Sorrentino, Pierpaolo
collection PubMed
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 pubmed-82948462021-07-23 The structural connectome constrains fast brain dynamics Sorrentino, Pierpaolo Seguin, Caio Rucco, Rosaria Liparoti, Marianna Troisi Lopez, Emahnuel Bonavita, Simona Quarantelli, Mario Sorrentino, Giuseppe Jirsa, Viktor Zalesky, Andrew eLife Computational and Systems Biology 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. eLife Sciences Publications, Ltd 2021-07-09 /pmc/articles/PMC8294846/ /pubmed/34240702 http://dx.doi.org/10.7554/eLife.67400 Text en © 2021, Sorrentino et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Sorrentino, Pierpaolo
Seguin, Caio
Rucco, Rosaria
Liparoti, Marianna
Troisi Lopez, Emahnuel
Bonavita, Simona
Quarantelli, Mario
Sorrentino, Giuseppe
Jirsa, Viktor
Zalesky, Andrew
The structural connectome constrains fast brain dynamics
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 Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294846/
https://www.ncbi.nlm.nih.gov/pubmed/34240702
http://dx.doi.org/10.7554/eLife.67400
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