Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783310111547064320 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5874135 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT dupreelizabeth structuralcovariancenetworksacrossthelifespanfrom6to94yearsofage AT sprengrnathan structuralcovariancenetworksacrossthelifespanfrom6to94yearsofage |