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Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks
Normal aging is associated with cognitive decline. Evidence indicates that large-scale brain networks are affected by aging; however, it has not been established whether aging has equivalent effects on specific large-scale networks. In the present study, 40 healthy subjects including 22 older (aged...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182761/ https://www.ncbi.nlm.nih.gov/pubmed/25271846 http://dx.doi.org/10.1371/journal.pone.0108807 |
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author | Zhang, Hong-Ying Chen, Wen-Xin Jiao, Yun Xu, Yao Zhang, Xiang-Rong Wu, Jing-Tao |
author_facet | Zhang, Hong-Ying Chen, Wen-Xin Jiao, Yun Xu, Yao Zhang, Xiang-Rong Wu, Jing-Tao |
author_sort | Zhang, Hong-Ying |
collection | PubMed |
description | Normal aging is associated with cognitive decline. Evidence indicates that large-scale brain networks are affected by aging; however, it has not been established whether aging has equivalent effects on specific large-scale networks. In the present study, 40 healthy subjects including 22 older (aged 60–80 years) and 18 younger (aged 22–33 years) adults underwent resting-state functional MRI scanning. Four canonical resting-state networks, including the default mode network (DMN), executive control network (ECN), dorsal attention network (DAN) and salience network, were extracted, and the functional connectivities in these canonical networks were compared between the younger and older groups. We found distinct, disruptive alterations present in the large-scale aging-related resting brain networks: the ECN was affected the most, followed by the DAN. However, the DMN and salience networks showed limited functional connectivity disruption. The visual network served as a control and was similarly preserved in both groups. Our findings suggest that the aged brain is characterized by selective vulnerability in large-scale brain networks. These results could help improve our understanding of the mechanism of degeneration in the aging brain. Additional work is warranted to determine whether selective alterations in the intrinsic networks are related to impairments in behavioral performance. |
format | Online Article Text |
id | pubmed-4182761 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41827612014-10-07 Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks Zhang, Hong-Ying Chen, Wen-Xin Jiao, Yun Xu, Yao Zhang, Xiang-Rong Wu, Jing-Tao PLoS One Research Article Normal aging is associated with cognitive decline. Evidence indicates that large-scale brain networks are affected by aging; however, it has not been established whether aging has equivalent effects on specific large-scale networks. In the present study, 40 healthy subjects including 22 older (aged 60–80 years) and 18 younger (aged 22–33 years) adults underwent resting-state functional MRI scanning. Four canonical resting-state networks, including the default mode network (DMN), executive control network (ECN), dorsal attention network (DAN) and salience network, were extracted, and the functional connectivities in these canonical networks were compared between the younger and older groups. We found distinct, disruptive alterations present in the large-scale aging-related resting brain networks: the ECN was affected the most, followed by the DAN. However, the DMN and salience networks showed limited functional connectivity disruption. The visual network served as a control and was similarly preserved in both groups. Our findings suggest that the aged brain is characterized by selective vulnerability in large-scale brain networks. These results could help improve our understanding of the mechanism of degeneration in the aging brain. Additional work is warranted to determine whether selective alterations in the intrinsic networks are related to impairments in behavioral performance. Public Library of Science 2014-10-01 /pmc/articles/PMC4182761/ /pubmed/25271846 http://dx.doi.org/10.1371/journal.pone.0108807 Text en © 2014 Zhang et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are properly credited. |
spellingShingle | Research Article Zhang, Hong-Ying Chen, Wen-Xin Jiao, Yun Xu, Yao Zhang, Xiang-Rong Wu, Jing-Tao Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title | Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title_full | Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title_fullStr | Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title_full_unstemmed | Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title_short | Selective Vulnerability Related to Aging in Large-Scale Resting Brain Networks |
title_sort | selective vulnerability related to aging in large-scale resting brain networks |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182761/ https://www.ncbi.nlm.nih.gov/pubmed/25271846 http://dx.doi.org/10.1371/journal.pone.0108807 |
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