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Connectivity-Based Topographical Changes of the Corpus Callosum During Aging

Background: The corpus callosum (CC) is the most prominent white matter connection for interhemispheric information transfer. It is implicated in a variety of cognitive functions, which tend to decline with age. The region-specific projections of the fiber bundles with microstructural heterogeneity...

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Autores principales: Liu, Yuchen, Hsu, Chih-Chin Heather, Huang, Chu-Chung, Zhang, Yajuan, Zhao, Jiajia, Tsai, Shih-Jen, Chen, Liang-Kung, Lin, Ching-Po, Lo, Chun-Yi Zac
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565522/
https://www.ncbi.nlm.nih.gov/pubmed/34744693
http://dx.doi.org/10.3389/fnagi.2021.753236
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author Liu, Yuchen
Hsu, Chih-Chin Heather
Huang, Chu-Chung
Zhang, Yajuan
Zhao, Jiajia
Tsai, Shih-Jen
Chen, Liang-Kung
Lin, Ching-Po
Lo, Chun-Yi Zac
author_facet Liu, Yuchen
Hsu, Chih-Chin Heather
Huang, Chu-Chung
Zhang, Yajuan
Zhao, Jiajia
Tsai, Shih-Jen
Chen, Liang-Kung
Lin, Ching-Po
Lo, Chun-Yi Zac
author_sort Liu, Yuchen
collection PubMed
description Background: The corpus callosum (CC) is the most prominent white matter connection for interhemispheric information transfer. It is implicated in a variety of cognitive functions, which tend to decline with age. The region-specific projections of the fiber bundles with microstructural heterogeneity of the CC are associated with cognitive functions and diseases. However, how the CC is associated with the information transfer within functional networks and the connectivity changes during aging remain unclear. Studying the CC topography helps to understand the functional specialization and age-related changes of CC subregions. Methods: Diffusion tractography was used to subdivide the CC into seven subregions from 1,086 healthy volunteers within a wide age range (21–90 years), based on the connections to the cortical parcellations of the functional networks. Quantitative diffusion indices and connection probability were calculated to study the microstructure differences and age-related changes in the CC subregions. Results: According to the population-based probabilistic topography of the CC, part of the default mode network (DMN) and limbic network (LN) projected fibers through the genu and rostrum; the frontoparietal network (FPN), ventral attention network (VA) and somatomotor networks (SM) were interconnected by the CC body; callosal fibers arising from the part of the default mode network (DMN), dorsal attention network (DA) and visual network (VIS) passed through the splenium. Anterior CC subregions interconnecting DMN, LN, FPN, VA, and SM showed lower fractional anisotropy (FA) and higher mean diffusivity (MD) and radial diffusivity (RD) than posterior CC subregions interconnecting DA and VIS. All the CC subregions showed slightly increasing FA and decreasing MD, RD, and axial diffusivity (AD) at younger ages and opposite trends at older ages. Besides, the anterior CC subregions exhibited larger microstructural and connectivity changes compared with the posterior CC subregions during aging. Conclusion: This study revealed the callosal subregions related to functional networks and uncovered an overall “anterior-to-posterior” region-specific changing trend during aging, which provides a baseline to identify the presence and timing of callosal connection states.
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spelling pubmed-85655222021-11-04 Connectivity-Based Topographical Changes of the Corpus Callosum During Aging Liu, Yuchen Hsu, Chih-Chin Heather Huang, Chu-Chung Zhang, Yajuan Zhao, Jiajia Tsai, Shih-Jen Chen, Liang-Kung Lin, Ching-Po Lo, Chun-Yi Zac Front Aging Neurosci Neuroscience Background: The corpus callosum (CC) is the most prominent white matter connection for interhemispheric information transfer. It is implicated in a variety of cognitive functions, which tend to decline with age. The region-specific projections of the fiber bundles with microstructural heterogeneity of the CC are associated with cognitive functions and diseases. However, how the CC is associated with the information transfer within functional networks and the connectivity changes during aging remain unclear. Studying the CC topography helps to understand the functional specialization and age-related changes of CC subregions. Methods: Diffusion tractography was used to subdivide the CC into seven subregions from 1,086 healthy volunteers within a wide age range (21–90 years), based on the connections to the cortical parcellations of the functional networks. Quantitative diffusion indices and connection probability were calculated to study the microstructure differences and age-related changes in the CC subregions. Results: According to the population-based probabilistic topography of the CC, part of the default mode network (DMN) and limbic network (LN) projected fibers through the genu and rostrum; the frontoparietal network (FPN), ventral attention network (VA) and somatomotor networks (SM) were interconnected by the CC body; callosal fibers arising from the part of the default mode network (DMN), dorsal attention network (DA) and visual network (VIS) passed through the splenium. Anterior CC subregions interconnecting DMN, LN, FPN, VA, and SM showed lower fractional anisotropy (FA) and higher mean diffusivity (MD) and radial diffusivity (RD) than posterior CC subregions interconnecting DA and VIS. All the CC subregions showed slightly increasing FA and decreasing MD, RD, and axial diffusivity (AD) at younger ages and opposite trends at older ages. Besides, the anterior CC subregions exhibited larger microstructural and connectivity changes compared with the posterior CC subregions during aging. Conclusion: This study revealed the callosal subregions related to functional networks and uncovered an overall “anterior-to-posterior” region-specific changing trend during aging, which provides a baseline to identify the presence and timing of callosal connection states. Frontiers Media S.A. 2021-10-20 /pmc/articles/PMC8565522/ /pubmed/34744693 http://dx.doi.org/10.3389/fnagi.2021.753236 Text en Copyright © 2021 Liu, Hsu, Huang, Zhang, Zhao, Tsai, Chen, Lin and Lo. 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
Liu, Yuchen
Hsu, Chih-Chin Heather
Huang, Chu-Chung
Zhang, Yajuan
Zhao, Jiajia
Tsai, Shih-Jen
Chen, Liang-Kung
Lin, Ching-Po
Lo, Chun-Yi Zac
Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title_full Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title_fullStr Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title_full_unstemmed Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title_short Connectivity-Based Topographical Changes of the Corpus Callosum During Aging
title_sort connectivity-based topographical changes of the corpus callosum during aging
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565522/
https://www.ncbi.nlm.nih.gov/pubmed/34744693
http://dx.doi.org/10.3389/fnagi.2021.753236
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