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Changes in white matter functional networks across late adulthood
INTRODUCTION: The aging brain is characterized by decreases in not only neuronal density but also reductions in myelinated white matter (WM) fibers that provide the essential foundation for communication between cortical regions. Age-related degeneration of WM has been previously characterized by hi...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347529/ https://www.ncbi.nlm.nih.gov/pubmed/37455933 http://dx.doi.org/10.3389/fnagi.2023.1204301 |
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author | Li, Muwei Gao, Yurui Lawless, Richard D. Xu, Lyuan Zhao, Yu Schilling, Kurt G. Ding, Zhaohua Anderson, Adam W. Landman, Bennett A. Gore, John C. |
author_facet | Li, Muwei Gao, Yurui Lawless, Richard D. Xu, Lyuan Zhao, Yu Schilling, Kurt G. Ding, Zhaohua Anderson, Adam W. Landman, Bennett A. Gore, John C. |
author_sort | Li, Muwei |
collection | PubMed |
description | INTRODUCTION: The aging brain is characterized by decreases in not only neuronal density but also reductions in myelinated white matter (WM) fibers that provide the essential foundation for communication between cortical regions. Age-related degeneration of WM has been previously characterized by histopathology as well as T2 FLAIR and diffusion MRI. Recent studies have consistently shown that BOLD (blood oxygenation level dependent) effects in WM are robustly detectable, are modulated by neural activities, and thus represent a complementary window into the functional organization of the brain. However, there have been no previous systematic studies of whether or how WM BOLD signals vary with normal aging. We therefore performed a comprehensive quantification of WM BOLD signals across scales to evaluate their potential as indicators of functional changes that arise with aging. METHODS: By using spatial independent component analysis (ICA) of BOLD signals acquired in a resting state, WM voxels were grouped into spatially distinct functional units. The functional connectivities (FCs) within and among those units were measured and their relationships with aging were assessed. On a larger spatial scale, a graph was reconstructed based on the pair-wise connectivities among units, modeling the WM as a complex network and producing a set of graph-theoretical metrics. RESULTS: The spectral powers that reflect the intensities of BOLD signals were found to be significantly affected by aging across more than half of the WM units. The functional connectivities (FCs) within and among those units were found to decrease significantly with aging. We observed a widespread reduction of graph-theoretical metrics, suggesting a decrease in the ability to exchange information between remote WM regions with aging. DISCUSSION: Our findings converge to support the notion that WM BOLD signals in specific regions, and their interactions with other regions, have the potential to serve as imaging markers of aging. |
format | Online Article Text |
id | pubmed-10347529 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-103475292023-07-15 Changes in white matter functional networks across late adulthood Li, Muwei Gao, Yurui Lawless, Richard D. Xu, Lyuan Zhao, Yu Schilling, Kurt G. Ding, Zhaohua Anderson, Adam W. Landman, Bennett A. Gore, John C. Front Aging Neurosci Neuroscience INTRODUCTION: The aging brain is characterized by decreases in not only neuronal density but also reductions in myelinated white matter (WM) fibers that provide the essential foundation for communication between cortical regions. Age-related degeneration of WM has been previously characterized by histopathology as well as T2 FLAIR and diffusion MRI. Recent studies have consistently shown that BOLD (blood oxygenation level dependent) effects in WM are robustly detectable, are modulated by neural activities, and thus represent a complementary window into the functional organization of the brain. However, there have been no previous systematic studies of whether or how WM BOLD signals vary with normal aging. We therefore performed a comprehensive quantification of WM BOLD signals across scales to evaluate their potential as indicators of functional changes that arise with aging. METHODS: By using spatial independent component analysis (ICA) of BOLD signals acquired in a resting state, WM voxels were grouped into spatially distinct functional units. The functional connectivities (FCs) within and among those units were measured and their relationships with aging were assessed. On a larger spatial scale, a graph was reconstructed based on the pair-wise connectivities among units, modeling the WM as a complex network and producing a set of graph-theoretical metrics. RESULTS: The spectral powers that reflect the intensities of BOLD signals were found to be significantly affected by aging across more than half of the WM units. The functional connectivities (FCs) within and among those units were found to decrease significantly with aging. We observed a widespread reduction of graph-theoretical metrics, suggesting a decrease in the ability to exchange information between remote WM regions with aging. DISCUSSION: Our findings converge to support the notion that WM BOLD signals in specific regions, and their interactions with other regions, have the potential to serve as imaging markers of aging. Frontiers Media S.A. 2023-06-30 /pmc/articles/PMC10347529/ /pubmed/37455933 http://dx.doi.org/10.3389/fnagi.2023.1204301 Text en Copyright © 2023 Li, Gao, Lawless, Xu, Zhao, Schilling, Ding, Anderson, Landman and Gore. 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 | Neuroscience Li, Muwei Gao, Yurui Lawless, Richard D. Xu, Lyuan Zhao, Yu Schilling, Kurt G. Ding, Zhaohua Anderson, Adam W. Landman, Bennett A. Gore, John C. Changes in white matter functional networks across late adulthood |
title | Changes in white matter functional networks across late adulthood |
title_full | Changes in white matter functional networks across late adulthood |
title_fullStr | Changes in white matter functional networks across late adulthood |
title_full_unstemmed | Changes in white matter functional networks across late adulthood |
title_short | Changes in white matter functional networks across late adulthood |
title_sort | changes in white matter functional networks across late adulthood |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347529/ https://www.ncbi.nlm.nih.gov/pubmed/37455933 http://dx.doi.org/10.3389/fnagi.2023.1204301 |
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