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The temporal dedifferentiation of global brain signal fluctuations during human brain ageing

The variation of brain functions as healthy ageing has been discussed widely using resting-state brain imaging. Previous conclusions may be misinterpreted without considering the effects of global signal (GS) on local brain activities. Up to now, the variation of GS with ageing has not been estimate...

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Autores principales: Ao, Yujia, Kou, Juan, Yang, Chengxiao, Wang, Yifeng, Huang, Lihui, Jing, Xiujuan, Cui, Qian, Cai, Xueli, Chen, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901682/
https://www.ncbi.nlm.nih.gov/pubmed/35256664
http://dx.doi.org/10.1038/s41598-022-07578-6
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author Ao, Yujia
Kou, Juan
Yang, Chengxiao
Wang, Yifeng
Huang, Lihui
Jing, Xiujuan
Cui, Qian
Cai, Xueli
Chen, Jing
author_facet Ao, Yujia
Kou, Juan
Yang, Chengxiao
Wang, Yifeng
Huang, Lihui
Jing, Xiujuan
Cui, Qian
Cai, Xueli
Chen, Jing
author_sort Ao, Yujia
collection PubMed
description The variation of brain functions as healthy ageing has been discussed widely using resting-state brain imaging. Previous conclusions may be misinterpreted without considering the effects of global signal (GS) on local brain activities. Up to now, the variation of GS with ageing has not been estimated. To fill this gap, we defined the GS as the mean signal of all voxels in the gray matter and systematically investigated correlations between age and indices of GS fluctuations. What’s more, these tests were replicated with data after hemodynamic response function (HRF) de-convolution and data without noise regression as well as head motion data to verify effects of non-neural information on age. The results indicated that GS fluctuations varied as ageing in three ways. First, GS fluctuations were reduced with age. Second, the GS power transferred from lower frequencies to higher frequencies with age. Third, the GS power was more evenly distributed across frequencies in ageing brain. These trends were partly influenced by HRF and physiological noise, indicating that the age effects of GS fluctuations are associated with a variety of physiological activities. These results may indicate the temporal dedifferentiation hypothesis of brain ageing from the global perspective.
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spelling pubmed-89016822022-03-08 The temporal dedifferentiation of global brain signal fluctuations during human brain ageing Ao, Yujia Kou, Juan Yang, Chengxiao Wang, Yifeng Huang, Lihui Jing, Xiujuan Cui, Qian Cai, Xueli Chen, Jing Sci Rep Article The variation of brain functions as healthy ageing has been discussed widely using resting-state brain imaging. Previous conclusions may be misinterpreted without considering the effects of global signal (GS) on local brain activities. Up to now, the variation of GS with ageing has not been estimated. To fill this gap, we defined the GS as the mean signal of all voxels in the gray matter and systematically investigated correlations between age and indices of GS fluctuations. What’s more, these tests were replicated with data after hemodynamic response function (HRF) de-convolution and data without noise regression as well as head motion data to verify effects of non-neural information on age. The results indicated that GS fluctuations varied as ageing in three ways. First, GS fluctuations were reduced with age. Second, the GS power transferred from lower frequencies to higher frequencies with age. Third, the GS power was more evenly distributed across frequencies in ageing brain. These trends were partly influenced by HRF and physiological noise, indicating that the age effects of GS fluctuations are associated with a variety of physiological activities. These results may indicate the temporal dedifferentiation hypothesis of brain ageing from the global perspective. Nature Publishing Group UK 2022-03-07 /pmc/articles/PMC8901682/ /pubmed/35256664 http://dx.doi.org/10.1038/s41598-022-07578-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ao, Yujia
Kou, Juan
Yang, Chengxiao
Wang, Yifeng
Huang, Lihui
Jing, Xiujuan
Cui, Qian
Cai, Xueli
Chen, Jing
The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title_full The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title_fullStr The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title_full_unstemmed The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title_short The temporal dedifferentiation of global brain signal fluctuations during human brain ageing
title_sort temporal dedifferentiation of global brain signal fluctuations during human brain ageing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8901682/
https://www.ncbi.nlm.nih.gov/pubmed/35256664
http://dx.doi.org/10.1038/s41598-022-07578-6
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