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Topological organization of the human brain functional connectome across the lifespan

Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart the lifespan trajectory of the topological organization of human whole-brain functional networks in 126 healthy individuals ranging...

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Autores principales: Cao, Miao, Wang, Jin-Hui, Dai, Zheng-Jia, Cao, Xiao-Yan, Jiang, Li-Li, Fan, Feng-Mei, Song, Xiao-Wei, Xia, Ming-Rui, Shu, Ni, Dong, Qi, Milham, Michael P., Castellanos, F. Xavier, Zuo, Xi-Nian, He, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987957/
https://www.ncbi.nlm.nih.gov/pubmed/24333927
http://dx.doi.org/10.1016/j.dcn.2013.11.004
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author Cao, Miao
Wang, Jin-Hui
Dai, Zheng-Jia
Cao, Xiao-Yan
Jiang, Li-Li
Fan, Feng-Mei
Song, Xiao-Wei
Xia, Ming-Rui
Shu, Ni
Dong, Qi
Milham, Michael P.
Castellanos, F. Xavier
Zuo, Xi-Nian
He, Yong
author_facet Cao, Miao
Wang, Jin-Hui
Dai, Zheng-Jia
Cao, Xiao-Yan
Jiang, Li-Li
Fan, Feng-Mei
Song, Xiao-Wei
Xia, Ming-Rui
Shu, Ni
Dong, Qi
Milham, Michael P.
Castellanos, F. Xavier
Zuo, Xi-Nian
He, Yong
author_sort Cao, Miao
collection PubMed
description Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart the lifespan trajectory of the topological organization of human whole-brain functional networks in 126 healthy individuals ranging in age from 7 to 85 years. Brain networks were constructed by computing Pearson's correlations in blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed by graph-based network analyses. We observed that the human brain functional connectome exhibited highly preserved non-random modular and rich club organization over the entire age range studied. Further quantitative analyses revealed linear decreases in modularity and inverted-U shaped trajectories of local efficiency and rich club architecture. Regionally heterogeneous age effects were mainly located in several hubs (e.g., default network, dorsal attention regions). Finally, we observed inverse trajectories of long- and short-distance functional connections, indicating that the reorganization of connectivity concentrates and distributes the brain's functional networks. Our results demonstrate topological changes in the whole-brain functional connectome across nearly the entire human lifespan, providing insights into the neural substrates underlying individual variations in behavior and cognition. These results have important implications for disease connectomics because they provide a baseline for evaluating network impairments in age-related neuropsychiatric disorders.
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spelling pubmed-69879572020-02-03 Topological organization of the human brain functional connectome across the lifespan Cao, Miao Wang, Jin-Hui Dai, Zheng-Jia Cao, Xiao-Yan Jiang, Li-Li Fan, Feng-Mei Song, Xiao-Wei Xia, Ming-Rui Shu, Ni Dong, Qi Milham, Michael P. Castellanos, F. Xavier Zuo, Xi-Nian He, Yong Dev Cogn Neurosci Original Research Human brain function undergoes complex transformations across the lifespan. We employed resting-state functional MRI and graph-theory approaches to systematically chart the lifespan trajectory of the topological organization of human whole-brain functional networks in 126 healthy individuals ranging in age from 7 to 85 years. Brain networks were constructed by computing Pearson's correlations in blood-oxygenation-level-dependent temporal fluctuations among 1024 parcellation units followed by graph-based network analyses. We observed that the human brain functional connectome exhibited highly preserved non-random modular and rich club organization over the entire age range studied. Further quantitative analyses revealed linear decreases in modularity and inverted-U shaped trajectories of local efficiency and rich club architecture. Regionally heterogeneous age effects were mainly located in several hubs (e.g., default network, dorsal attention regions). Finally, we observed inverse trajectories of long- and short-distance functional connections, indicating that the reorganization of connectivity concentrates and distributes the brain's functional networks. Our results demonstrate topological changes in the whole-brain functional connectome across nearly the entire human lifespan, providing insights into the neural substrates underlying individual variations in behavior and cognition. These results have important implications for disease connectomics because they provide a baseline for evaluating network impairments in age-related neuropsychiatric disorders. Elsevier 2013-11-28 /pmc/articles/PMC6987957/ /pubmed/24333927 http://dx.doi.org/10.1016/j.dcn.2013.11.004 Text en © 2013 The Authors http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).
spellingShingle Original Research
Cao, Miao
Wang, Jin-Hui
Dai, Zheng-Jia
Cao, Xiao-Yan
Jiang, Li-Li
Fan, Feng-Mei
Song, Xiao-Wei
Xia, Ming-Rui
Shu, Ni
Dong, Qi
Milham, Michael P.
Castellanos, F. Xavier
Zuo, Xi-Nian
He, Yong
Topological organization of the human brain functional connectome across the lifespan
title Topological organization of the human brain functional connectome across the lifespan
title_full Topological organization of the human brain functional connectome across the lifespan
title_fullStr Topological organization of the human brain functional connectome across the lifespan
title_full_unstemmed Topological organization of the human brain functional connectome across the lifespan
title_short Topological organization of the human brain functional connectome across the lifespan
title_sort topological organization of the human brain functional connectome across the lifespan
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6987957/
https://www.ncbi.nlm.nih.gov/pubmed/24333927
http://dx.doi.org/10.1016/j.dcn.2013.11.004
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