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Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity

Resting‐state functional magnetic resonance imaging (rs‐fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs‐fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age effects and age–sex interaction remain unclear....

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Autores principales: Zhong, Xiaole Z., Chen, J. Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120570/
https://www.ncbi.nlm.nih.gov/pubmed/35293656
http://dx.doi.org/10.1002/hbm.25823
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author Zhong, Xiaole Z.
Chen, J. Jean
author_facet Zhong, Xiaole Z.
Chen, J. Jean
author_sort Zhong, Xiaole Z.
collection PubMed
description Resting‐state functional magnetic resonance imaging (rs‐fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs‐fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age effects and age–sex interaction remain unclear. In this study, we examined the effects of age and sex on the rs‐fMRI signal frequency using the Leipzig mind–brain–body data set. Over a frequency band of up to 0.3 Hz, we found that the rs‐fMRI fluctuation frequency is higher in the older adults, although the fluctuation amplitude is lower. The rs‐fMRI signal frequency is also higher in men than in women. Both age and sex effects on fMRI frequency vary with the frequency band examined but are not found in the frequency of physiological‐noise components. This higher rs‐fMRI frequency in older adults is not mediated by the electroencephalograph (EEG)‐frequency increase but a likely link between fMRI signal frequency and EEG entropy, which vary with age and sex. Additionally, in different rs‐fMRI frequency bands, the fMRI‐EEG amplitude ratio is higher in young adults. This is the first study to investigate the neuronal contribution to age and sex effects in the frequency dimension of the rs‐fMRI signal and may lead to the development of new, frequency‐based rs‐fMRI metrics. Our study demonstrates that Fourier analysis of the fMRI signal can reveal novel information about aging. Furthermore, fMRI and EEG signals reflect different aspects of age‐ and sex‐related brain differences, but the signal frequency and complexity, instead of amplitude, may hold their link.
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spelling pubmed-91205702022-05-21 Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity Zhong, Xiaole Z. Chen, J. Jean Hum Brain Mapp Research Articles Resting‐state functional magnetic resonance imaging (rs‐fMRI) has been extensively used to study brain aging, but the age effect on the frequency content of the rs‐fMRI signal has scarcely been examined. Moreover, the neuronal implications of such age effects and age–sex interaction remain unclear. In this study, we examined the effects of age and sex on the rs‐fMRI signal frequency using the Leipzig mind–brain–body data set. Over a frequency band of up to 0.3 Hz, we found that the rs‐fMRI fluctuation frequency is higher in the older adults, although the fluctuation amplitude is lower. The rs‐fMRI signal frequency is also higher in men than in women. Both age and sex effects on fMRI frequency vary with the frequency band examined but are not found in the frequency of physiological‐noise components. This higher rs‐fMRI frequency in older adults is not mediated by the electroencephalograph (EEG)‐frequency increase but a likely link between fMRI signal frequency and EEG entropy, which vary with age and sex. Additionally, in different rs‐fMRI frequency bands, the fMRI‐EEG amplitude ratio is higher in young adults. This is the first study to investigate the neuronal contribution to age and sex effects in the frequency dimension of the rs‐fMRI signal and may lead to the development of new, frequency‐based rs‐fMRI metrics. Our study demonstrates that Fourier analysis of the fMRI signal can reveal novel information about aging. Furthermore, fMRI and EEG signals reflect different aspects of age‐ and sex‐related brain differences, but the signal frequency and complexity, instead of amplitude, may hold their link. John Wiley & Sons, Inc. 2022-03-16 /pmc/articles/PMC9120570/ /pubmed/35293656 http://dx.doi.org/10.1002/hbm.25823 Text en © 2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Zhong, Xiaole Z.
Chen, J. Jean
Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title_full Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title_fullStr Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title_full_unstemmed Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title_short Resting‐state functional magnetic resonance imaging signal variations in aging: The role of neural activity
title_sort resting‐state functional magnetic resonance imaging signal variations in aging: the role of neural activity
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120570/
https://www.ncbi.nlm.nih.gov/pubmed/35293656
http://dx.doi.org/10.1002/hbm.25823
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