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Adolescent Tuning of Association Cortex in Human Structural Brain Networks

Motivated by prior data on local cortical shrinkage and intracortical myelination, we predicted age-related changes in topological organization of cortical structural networks during adolescence. We estimated structural correlation from magnetic resonance imaging measures of cortical thickness at 30...

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Autores principales: Váša, František, Seidlitz, Jakob, Romero-Garcia, Rafael, Whitaker, Kirstie J, Rosenthal, Gideon, Vértes, Petra E, Shinn, Maxwell, Alexander-Bloch, Aaron, Fonagy, Peter, Dolan, Raymond J, Jones, Peter B, Goodyer, Ian M, Sporns, Olaf, Bullmore, Edward T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903415/
https://www.ncbi.nlm.nih.gov/pubmed/29088339
http://dx.doi.org/10.1093/cercor/bhx249
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author Váša, František
Seidlitz, Jakob
Romero-Garcia, Rafael
Whitaker, Kirstie J
Rosenthal, Gideon
Vértes, Petra E
Shinn, Maxwell
Alexander-Bloch, Aaron
Fonagy, Peter
Dolan, Raymond J
Jones, Peter B
Goodyer, Ian M
Sporns, Olaf
Bullmore, Edward T
author_facet Váša, František
Seidlitz, Jakob
Romero-Garcia, Rafael
Whitaker, Kirstie J
Rosenthal, Gideon
Vértes, Petra E
Shinn, Maxwell
Alexander-Bloch, Aaron
Fonagy, Peter
Dolan, Raymond J
Jones, Peter B
Goodyer, Ian M
Sporns, Olaf
Bullmore, Edward T
author_sort Váša, František
collection PubMed
description Motivated by prior data on local cortical shrinkage and intracortical myelination, we predicted age-related changes in topological organization of cortical structural networks during adolescence. We estimated structural correlation from magnetic resonance imaging measures of cortical thickness at 308 regions in a sample of N = 297 healthy participants, aged 14–24 years. We used a novel sliding-window analysis to measure age-related changes in network attributes globally, locally and in the context of several community partitions of the network. We found that the strength of structural correlation generally decreased as a function of age. Association cortical regions demonstrated a sharp decrease in nodal degree (hubness) from 14 years, reaching a minimum at approximately 19 years, and then levelling off or even slightly increasing until 24 years. Greater and more prolonged age-related changes in degree of cortical regions within the brain network were associated with faster rates of adolescent cortical myelination and shrinkage. The brain regions that demonstrated the greatest age-related changes were concentrated within prefrontal modules. We conclude that human adolescence is associated with biologically plausible changes in structural imaging markers of brain network organization, consistent with the concept of tuning or consolidating anatomical connectivity between frontal cortex and the rest of the connectome.
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spelling pubmed-59034152018-04-18 Adolescent Tuning of Association Cortex in Human Structural Brain Networks Váša, František Seidlitz, Jakob Romero-Garcia, Rafael Whitaker, Kirstie J Rosenthal, Gideon Vértes, Petra E Shinn, Maxwell Alexander-Bloch, Aaron Fonagy, Peter Dolan, Raymond J Jones, Peter B Goodyer, Ian M Sporns, Olaf Bullmore, Edward T Cereb Cortex Original Articles Motivated by prior data on local cortical shrinkage and intracortical myelination, we predicted age-related changes in topological organization of cortical structural networks during adolescence. We estimated structural correlation from magnetic resonance imaging measures of cortical thickness at 308 regions in a sample of N = 297 healthy participants, aged 14–24 years. We used a novel sliding-window analysis to measure age-related changes in network attributes globally, locally and in the context of several community partitions of the network. We found that the strength of structural correlation generally decreased as a function of age. Association cortical regions demonstrated a sharp decrease in nodal degree (hubness) from 14 years, reaching a minimum at approximately 19 years, and then levelling off or even slightly increasing until 24 years. Greater and more prolonged age-related changes in degree of cortical regions within the brain network were associated with faster rates of adolescent cortical myelination and shrinkage. The brain regions that demonstrated the greatest age-related changes were concentrated within prefrontal modules. We conclude that human adolescence is associated with biologically plausible changes in structural imaging markers of brain network organization, consistent with the concept of tuning or consolidating anatomical connectivity between frontal cortex and the rest of the connectome. Oxford University Press 2018-01 2017-10-27 /pmc/articles/PMC5903415/ /pubmed/29088339 http://dx.doi.org/10.1093/cercor/bhx249 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Váša, František
Seidlitz, Jakob
Romero-Garcia, Rafael
Whitaker, Kirstie J
Rosenthal, Gideon
Vértes, Petra E
Shinn, Maxwell
Alexander-Bloch, Aaron
Fonagy, Peter
Dolan, Raymond J
Jones, Peter B
Goodyer, Ian M
Sporns, Olaf
Bullmore, Edward T
Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title_full Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title_fullStr Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title_full_unstemmed Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title_short Adolescent Tuning of Association Cortex in Human Structural Brain Networks
title_sort adolescent tuning of association cortex in human structural brain networks
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903415/
https://www.ncbi.nlm.nih.gov/pubmed/29088339
http://dx.doi.org/10.1093/cercor/bhx249
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