Cargando…
A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity
Cognitive decline is amongst one of the most commonly reported complaints during normal aging. Despite evidence that age and cognition are linked with similar neural correlates, no previous studies have directly ascertained how these two constructs overlap in the brain in terms of neuroimaging‐based...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403648/ https://www.ncbi.nlm.nih.gov/pubmed/35811304 http://dx.doi.org/10.1002/advs.202201621 |
_version_ | 1784773424807149568 |
---|---|
author | Jiang, Rongtao Scheinost, Dustin Zuo, Nianming Wu, Jing Qi, Shile Liang, Qinghao Zhi, Dongmei Luo, Na Chung, Young‐Chul Liu, Sha Xu, Yong Sui, Jing Calhoun, Vince |
author_facet | Jiang, Rongtao Scheinost, Dustin Zuo, Nianming Wu, Jing Qi, Shile Liang, Qinghao Zhi, Dongmei Luo, Na Chung, Young‐Chul Liu, Sha Xu, Yong Sui, Jing Calhoun, Vince |
author_sort | Jiang, Rongtao |
collection | PubMed |
description | Cognitive decline is amongst one of the most commonly reported complaints during normal aging. Despite evidence that age and cognition are linked with similar neural correlates, no previous studies have directly ascertained how these two constructs overlap in the brain in terms of neuroimaging‐based prediction. Based on a long lifespan healthy cohort (CamCAN, aged 19–89 years, n = 567), it is shown that both cognitive function (domains spanning executive function, emotion processing, motor function, and memory) and human age can be reliably predicted from unique patterns of functional connectivity, with models generalizable in two external datasets (n = 533 and n = 453). Results show that cognitive decline and normal aging both manifest decrease within‐network connections (especially default mode and ventral attention networks) and increase between‐network connections (somatomotor network). Whereas dorsal attention network is an exception, which is highly predictive on cognitive ability but is weakly correlated with aging. Further, the positively weighted connections in predicting fluid intelligence significantly mediate its association with age. Together, these findings offer insights into why normal aging is often associated with cognitive decline in terms of brain network organization, indicating a process of neural dedifferentiation and compensational theory. |
format | Online Article Text |
id | pubmed-9403648 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94036482022-08-26 A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity Jiang, Rongtao Scheinost, Dustin Zuo, Nianming Wu, Jing Qi, Shile Liang, Qinghao Zhi, Dongmei Luo, Na Chung, Young‐Chul Liu, Sha Xu, Yong Sui, Jing Calhoun, Vince Adv Sci (Weinh) Research Articles Cognitive decline is amongst one of the most commonly reported complaints during normal aging. Despite evidence that age and cognition are linked with similar neural correlates, no previous studies have directly ascertained how these two constructs overlap in the brain in terms of neuroimaging‐based prediction. Based on a long lifespan healthy cohort (CamCAN, aged 19–89 years, n = 567), it is shown that both cognitive function (domains spanning executive function, emotion processing, motor function, and memory) and human age can be reliably predicted from unique patterns of functional connectivity, with models generalizable in two external datasets (n = 533 and n = 453). Results show that cognitive decline and normal aging both manifest decrease within‐network connections (especially default mode and ventral attention networks) and increase between‐network connections (somatomotor network). Whereas dorsal attention network is an exception, which is highly predictive on cognitive ability but is weakly correlated with aging. Further, the positively weighted connections in predicting fluid intelligence significantly mediate its association with age. Together, these findings offer insights into why normal aging is often associated with cognitive decline in terms of brain network organization, indicating a process of neural dedifferentiation and compensational theory. John Wiley and Sons Inc. 2022-07-10 /pmc/articles/PMC9403648/ /pubmed/35811304 http://dx.doi.org/10.1002/advs.202201621 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Jiang, Rongtao Scheinost, Dustin Zuo, Nianming Wu, Jing Qi, Shile Liang, Qinghao Zhi, Dongmei Luo, Na Chung, Young‐Chul Liu, Sha Xu, Yong Sui, Jing Calhoun, Vince A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title | A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title_full | A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title_fullStr | A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title_full_unstemmed | A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title_short | A Neuroimaging Signature of Cognitive Aging from Whole‐Brain Functional Connectivity |
title_sort | neuroimaging signature of cognitive aging from whole‐brain functional connectivity |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403648/ https://www.ncbi.nlm.nih.gov/pubmed/35811304 http://dx.doi.org/10.1002/advs.202201621 |
work_keys_str_mv | AT jiangrongtao aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT scheinostdustin aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT zuonianming aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT wujing aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT qishile aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT liangqinghao aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT zhidongmei aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT luona aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT chungyoungchul aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT liusha aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT xuyong aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT suijing aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT calhounvince aneuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT jiangrongtao neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT scheinostdustin neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT zuonianming neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT wujing neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT qishile neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT liangqinghao neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT zhidongmei neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT luona neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT chungyoungchul neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT liusha neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT xuyong neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT suijing neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity AT calhounvince neuroimagingsignatureofcognitiveagingfromwholebrainfunctionalconnectivity |