Cargando…

Dynamic spatiotemporal patterns of brain connectivity reorganize across development

Late human development is characterized by the maturation of high-level functional processes, which rely on reshaping of white matter connections, as well as synaptic density. However, the relationship between the whole-brain dynamics and the underlying white matter networks in neurodevelopment is l...

Descripción completa

Detalles Bibliográficos
Autores principales: Vohryzek, Jakub, Griffa, Alessandra, Mullier, Emeline, Friedrichs-Maeder, Cecilia, Sandini, Corrado, Schaer, Marie, Eliez, Stephan, Hagmann, Patric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006876/
https://www.ncbi.nlm.nih.gov/pubmed/32043046
http://dx.doi.org/10.1162/netn_a_00111
_version_ 1783495222732259328
author Vohryzek, Jakub
Griffa, Alessandra
Mullier, Emeline
Friedrichs-Maeder, Cecilia
Sandini, Corrado
Schaer, Marie
Eliez, Stephan
Hagmann, Patric
author_facet Vohryzek, Jakub
Griffa, Alessandra
Mullier, Emeline
Friedrichs-Maeder, Cecilia
Sandini, Corrado
Schaer, Marie
Eliez, Stephan
Hagmann, Patric
author_sort Vohryzek, Jakub
collection PubMed
description Late human development is characterized by the maturation of high-level functional processes, which rely on reshaping of white matter connections, as well as synaptic density. However, the relationship between the whole-brain dynamics and the underlying white matter networks in neurodevelopment is largely unknown. In this study, we focused on how the structural connectome shapes the emerging dynamics of cerebral development between the ages of 6 and 33 years, using functional and diffusion magnetic resonance imaging combined into a spatiotemporal connectivity framework. We defined two new measures of brain dynamics, namely the system diversity and the spatiotemporal diversity, which quantify the level of integration/segregation between functional systems and the level of temporal self-similarity of the functional patterns of brain dynamics, respectively. We observed a global increase in system diversity and a global decrease and local refinement in spatiotemporal diversity values with age. In support of these findings, we further found an increase in the usage of long-range and inter-system white matter connectivity and a decrease in the usage of short-range connectivity with age. These findings suggest that dynamic functional patterns in the brain progressively become more integrative and temporally self-similar with age. These functional changes are supported by a greater involvement of long-range and inter-system axonal pathways.
format Online
Article
Text
id pubmed-7006876
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MIT Press
record_format MEDLINE/PubMed
spelling pubmed-70068762020-02-10 Dynamic spatiotemporal patterns of brain connectivity reorganize across development Vohryzek, Jakub Griffa, Alessandra Mullier, Emeline Friedrichs-Maeder, Cecilia Sandini, Corrado Schaer, Marie Eliez, Stephan Hagmann, Patric Netw Neurosci Research Articles Late human development is characterized by the maturation of high-level functional processes, which rely on reshaping of white matter connections, as well as synaptic density. However, the relationship between the whole-brain dynamics and the underlying white matter networks in neurodevelopment is largely unknown. In this study, we focused on how the structural connectome shapes the emerging dynamics of cerebral development between the ages of 6 and 33 years, using functional and diffusion magnetic resonance imaging combined into a spatiotemporal connectivity framework. We defined two new measures of brain dynamics, namely the system diversity and the spatiotemporal diversity, which quantify the level of integration/segregation between functional systems and the level of temporal self-similarity of the functional patterns of brain dynamics, respectively. We observed a global increase in system diversity and a global decrease and local refinement in spatiotemporal diversity values with age. In support of these findings, we further found an increase in the usage of long-range and inter-system white matter connectivity and a decrease in the usage of short-range connectivity with age. These findings suggest that dynamic functional patterns in the brain progressively become more integrative and temporally self-similar with age. These functional changes are supported by a greater involvement of long-range and inter-system axonal pathways. MIT Press 2020-02-01 /pmc/articles/PMC7006876/ /pubmed/32043046 http://dx.doi.org/10.1162/netn_a_00111 Text en © 2019 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
spellingShingle Research Articles
Vohryzek, Jakub
Griffa, Alessandra
Mullier, Emeline
Friedrichs-Maeder, Cecilia
Sandini, Corrado
Schaer, Marie
Eliez, Stephan
Hagmann, Patric
Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title_full Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title_fullStr Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title_full_unstemmed Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title_short Dynamic spatiotemporal patterns of brain connectivity reorganize across development
title_sort dynamic spatiotemporal patterns of brain connectivity reorganize across development
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7006876/
https://www.ncbi.nlm.nih.gov/pubmed/32043046
http://dx.doi.org/10.1162/netn_a_00111
work_keys_str_mv AT vohryzekjakub dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT griffaalessandra dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT mullieremeline dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT friedrichsmaedercecilia dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT sandinicorrado dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT schaermarie dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT eliezstephan dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment
AT hagmannpatric dynamicspatiotemporalpatternsofbrainconnectivityreorganizeacrossdevelopment