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Structural covariance networks across the life span, from 6 to 94 years of age

Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span perspective—bridging childhood with early, mid...

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Detalles Bibliográficos
Autores principales: DuPre, Elizabeth, Spreng, R. Nathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874135/
https://www.ncbi.nlm.nih.gov/pubmed/29855624
http://dx.doi.org/10.1162/NETN_a_00016
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author DuPre, Elizabeth
Spreng, R. Nathan
author_facet DuPre, Elizabeth
Spreng, R. Nathan
author_sort DuPre, Elizabeth
collection PubMed
description Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span perspective—bridging childhood with early, middle, and late adulthood—on the development of structural covariance networks. Here, we investigate the life span trajectories of structural covariance in six canonical neurocognitive networks: default, dorsal attention, frontoparietal control, somatomotor, ventral attention, and visual. By combining data from five open-access data sources, we examine the structural covariance trajectories of these networks from 6 to 94 years of age in a sample of 1,580 participants. Using partial least squares, we show that structural covariance patterns across the life span exhibit two significant, age-dependent trends. The first trend is a stable pattern whose integrity declines over the life span. The second trend is an inverted-U that differentiates young adulthood from other age groups. Hub regions, including posterior cingulate cortex and anterior insula, appear particularly influential in the expression of this second age-dependent trend. Overall, our results suggest that structural covariance provides a reliable definition of neurocognitive networks across the life span and reveal both shared and network-specific trajectories.
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spelling pubmed-58741352018-05-29 Structural covariance networks across the life span, from 6 to 94 years of age DuPre, Elizabeth Spreng, R. Nathan Netw Neurosci Research Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a complete life span perspective—bridging childhood with early, middle, and late adulthood—on the development of structural covariance networks. Here, we investigate the life span trajectories of structural covariance in six canonical neurocognitive networks: default, dorsal attention, frontoparietal control, somatomotor, ventral attention, and visual. By combining data from five open-access data sources, we examine the structural covariance trajectories of these networks from 6 to 94 years of age in a sample of 1,580 participants. Using partial least squares, we show that structural covariance patterns across the life span exhibit two significant, age-dependent trends. The first trend is a stable pattern whose integrity declines over the life span. The second trend is an inverted-U that differentiates young adulthood from other age groups. Hub regions, including posterior cingulate cortex and anterior insula, appear particularly influential in the expression of this second age-dependent trend. Overall, our results suggest that structural covariance provides a reliable definition of neurocognitive networks across the life span and reveal both shared and network-specific trajectories. MIT Press 2017-10-01 /pmc/articles/PMC5874135/ /pubmed/29855624 http://dx.doi.org/10.1162/NETN_a_00016 Text en © 2017 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
DuPre, Elizabeth
Spreng, R. Nathan
Structural covariance networks across the life span, from 6 to 94 years of age
title Structural covariance networks across the life span, from 6 to 94 years of age
title_full Structural covariance networks across the life span, from 6 to 94 years of age
title_fullStr Structural covariance networks across the life span, from 6 to 94 years of age
title_full_unstemmed Structural covariance networks across the life span, from 6 to 94 years of age
title_short Structural covariance networks across the life span, from 6 to 94 years of age
title_sort structural covariance networks across the life span, from 6 to 94 years of age
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5874135/
https://www.ncbi.nlm.nih.gov/pubmed/29855624
http://dx.doi.org/10.1162/NETN_a_00016
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