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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-8294846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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