The Robustness of White Matter Brain Networks Decreases with Aging
Background: White matter (WM) is a principal component of the human brain, forming the structural basis for neural transmission between cortico-cortical and subcortical structures. The impairment of WM integrity is closely associated with the aging process, manifesting as the reor...
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| Format: | Article |
| Language: | English |
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IMR Press
2025-01-01
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| Series: | Journal of Integrative Neuroscience |
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| Online Access: | https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN25816 |
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| author | Chenye Huang Xie Wang Daojun Xie |
| author_facet | Chenye Huang Xie Wang Daojun Xie |
| author_sort | Chenye Huang |
| collection | DOAJ |
| description | Background: White matter (WM) is a principal component of the human brain, forming the structural basis for neural transmission between cortico-cortical and subcortical structures. The impairment of WM integrity is closely associated with the aging process, manifesting as the reorganization of brain networks based on graph theoretical analysis of complex networks and increased volume of white matter hyperintensities (WMHs) in imaging studies. Methods: This study investigated changes in the robustness of WM brain networks during aging and assessed their correlation with WMHs. We constructed WM brain networks for 159 volunteers from a community sample dataset using diffusion tensor imaging (DTI). We then calculated the robustness of these networks by simulating neurodegeneration based on network attack analysis, and studied the correlations between WM network robustness, age, and the proportion of WMHs. Results: The analysis revealed a moderate, negative correlation between WM network robustness and age, and a weak and negative correlation between WM network robustness and the proportion of WMHs. Conclusions: These findings suggest that WM pathologies are associated with aging and offer new insights into the imaging characteristics of the aging brain. |
| format | Article |
| id | doaj-art-7caf5cbd23b0449cbab905174a369008 |
| institution | Kabale University |
| issn | 0219-6352 1757-448X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IMR Press |
| record_format | Article |
| series | Journal of Integrative Neuroscience |
| spelling | doaj-art-7caf5cbd23b0449cbab905174a3690082025-01-25T07:38:07ZengIMR PressJournal of Integrative Neuroscience0219-63521757-448X2025-01-012412581610.31083/JIN25816S0219-6352(24)00852-0The Robustness of White Matter Brain Networks Decreases with AgingChenye Huang0Xie Wang1Daojun Xie2Department of Brain Disease Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230031 Hefei, Anhui, ChinaDepartment of Brain Disease Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230031 Hefei, Anhui, ChinaDepartment of Brain Disease Center, The First Affiliated Hospital of Anhui University of Chinese Medicine, 230031 Hefei, Anhui, ChinaBackground: White matter (WM) is a principal component of the human brain, forming the structural basis for neural transmission between cortico-cortical and subcortical structures. The impairment of WM integrity is closely associated with the aging process, manifesting as the reorganization of brain networks based on graph theoretical analysis of complex networks and increased volume of white matter hyperintensities (WMHs) in imaging studies. Methods: This study investigated changes in the robustness of WM brain networks during aging and assessed their correlation with WMHs. We constructed WM brain networks for 159 volunteers from a community sample dataset using diffusion tensor imaging (DTI). We then calculated the robustness of these networks by simulating neurodegeneration based on network attack analysis, and studied the correlations between WM network robustness, age, and the proportion of WMHs. Results: The analysis revealed a moderate, negative correlation between WM network robustness and age, and a weak and negative correlation between WM network robustness and the proportion of WMHs. Conclusions: These findings suggest that WM pathologies are associated with aging and offer new insights into the imaging characteristics of the aging brain.https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN25816white matteragingbrain networksrobustnesswhite matter hyperintensities |
| spellingShingle | Chenye Huang Xie Wang Daojun Xie The Robustness of White Matter Brain Networks Decreases with Aging Journal of Integrative Neuroscience white matter aging brain networks robustness white matter hyperintensities |
| title | The Robustness of White Matter Brain Networks Decreases with Aging |
| title_full | The Robustness of White Matter Brain Networks Decreases with Aging |
| title_fullStr | The Robustness of White Matter Brain Networks Decreases with Aging |
| title_full_unstemmed | The Robustness of White Matter Brain Networks Decreases with Aging |
| title_short | The Robustness of White Matter Brain Networks Decreases with Aging |
| title_sort | robustness of white matter brain networks decreases with aging |
| topic | white matter aging brain networks robustness white matter hyperintensities |
| url | https://www.imrpress.com/journal/JIN/24/1/10.31083/JIN25816 |
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