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Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000)
INTRODUCTION: Numerous studies have shown that aging has important effects on specific functional networks of the brain and leads to brain functional connectivity decline. However, no studies have addressed the effect of aging at the whole-brain level by studying both brain functional networks (i.e....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233064/ https://www.ncbi.nlm.nih.gov/pubmed/37273655 http://dx.doi.org/10.3389/fnagi.2023.1159054 |
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author | Du, Yuhui Guo, Yating Calhoun, Vince D. |
author_facet | Du, Yuhui Guo, Yating Calhoun, Vince D. |
author_sort | Du, Yuhui |
collection | PubMed |
description | INTRODUCTION: Numerous studies have shown that aging has important effects on specific functional networks of the brain and leads to brain functional connectivity decline. However, no studies have addressed the effect of aging at the whole-brain level by studying both brain functional networks (i.e., within-network connectivity) and their interaction (i.e., between-network connectivity) as well as their joint changes. METHODS: In this work, based on a large sample size of neuroimaging data including 6300 healthy adults aged between 49 and 73 years from the UK Biobank project, we first use our previously proposed priori-driven independent component analysis (ICA) method, called NeuroMark, to extract the whole-brain functional networks (FNs) and the functional network connectivity (FNC) matrix. Next, we perform a two-level statistical analysis method to identify robust aging-related changes in FNs and FNCs, respectively. Finally, we propose a combined approach to explore the synergistic and paradoxical changes between FNs and FNCs. RESULTS: Results showed that the enhanced FNCs mainly occur between different functional domains, involving the default mode and cognitive control networks, while the reduced FNCs come from not only between different domains but also within the same domain, primarily relating to the visual network, cognitive control network, and cerebellum. Aging also greatly affects the connectivity within FNs, and the increased within-network connectivity along with aging are mainly within the sensorimotor network, while the decreased within-network connectivity significantly involves the default mode network. More importantly, many significant joint changes between FNs and FNCs involve default mode and sub-cortical networks. Furthermore, most synergistic changes are present between the FNCs with reduced amplitude and their linked FNs, and most paradoxical changes are present in the FNCs with enhanced amplitude and their linked FNs. DISCUSSION: In summary, our study emphasizes the diversity of brain aging and provides new evidence via novel exploratory perspectives for non-pathological aging of the whole brain. |
format | Online Article Text |
id | pubmed-10233064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102330642023-06-02 Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) Du, Yuhui Guo, Yating Calhoun, Vince D. Front Aging Neurosci Aging Neuroscience INTRODUCTION: Numerous studies have shown that aging has important effects on specific functional networks of the brain and leads to brain functional connectivity decline. However, no studies have addressed the effect of aging at the whole-brain level by studying both brain functional networks (i.e., within-network connectivity) and their interaction (i.e., between-network connectivity) as well as their joint changes. METHODS: In this work, based on a large sample size of neuroimaging data including 6300 healthy adults aged between 49 and 73 years from the UK Biobank project, we first use our previously proposed priori-driven independent component analysis (ICA) method, called NeuroMark, to extract the whole-brain functional networks (FNs) and the functional network connectivity (FNC) matrix. Next, we perform a two-level statistical analysis method to identify robust aging-related changes in FNs and FNCs, respectively. Finally, we propose a combined approach to explore the synergistic and paradoxical changes between FNs and FNCs. RESULTS: Results showed that the enhanced FNCs mainly occur between different functional domains, involving the default mode and cognitive control networks, while the reduced FNCs come from not only between different domains but also within the same domain, primarily relating to the visual network, cognitive control network, and cerebellum. Aging also greatly affects the connectivity within FNs, and the increased within-network connectivity along with aging are mainly within the sensorimotor network, while the decreased within-network connectivity significantly involves the default mode network. More importantly, many significant joint changes between FNs and FNCs involve default mode and sub-cortical networks. Furthermore, most synergistic changes are present between the FNCs with reduced amplitude and their linked FNs, and most paradoxical changes are present in the FNCs with enhanced amplitude and their linked FNs. DISCUSSION: In summary, our study emphasizes the diversity of brain aging and provides new evidence via novel exploratory perspectives for non-pathological aging of the whole brain. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10233064/ /pubmed/37273655 http://dx.doi.org/10.3389/fnagi.2023.1159054 Text en Copyright © 2023 Du, Guo and Calhoun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Aging Neuroscience Du, Yuhui Guo, Yating Calhoun, Vince D. Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title | Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title_full | Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title_fullStr | Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title_full_unstemmed | Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title_short | Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000) |
title_sort | aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (n > 6,000) |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233064/ https://www.ncbi.nlm.nih.gov/pubmed/37273655 http://dx.doi.org/10.3389/fnagi.2023.1159054 |
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