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White matter and gray matter changes related to cognition in community populations

OBJECTIVE: Further studies are needed to improve the understanding of the pathological process underlying cognitive impairments. The purpose of this study is to investigate the global and topographic changes of white matter integrity and cortical structure related to cognitive impairments in a commu...

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Autores principales: Li, Wen-Xin, Yuan, Jing, Han, Fei, Zhou, Li-Xin, Ni, Jun, Yao, Ming, Zhang, Shu-Yang, Jin, Zheng-Yu, Cui, Li-Ying, Zhai, Fei-Fei, Zhu, Yi-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036909/
https://www.ncbi.nlm.nih.gov/pubmed/36967830
http://dx.doi.org/10.3389/fnagi.2023.1065245
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author Li, Wen-Xin
Yuan, Jing
Han, Fei
Zhou, Li-Xin
Ni, Jun
Yao, Ming
Zhang, Shu-Yang
Jin, Zheng-Yu
Cui, Li-Ying
Zhai, Fei-Fei
Zhu, Yi-Cheng
author_facet Li, Wen-Xin
Yuan, Jing
Han, Fei
Zhou, Li-Xin
Ni, Jun
Yao, Ming
Zhang, Shu-Yang
Jin, Zheng-Yu
Cui, Li-Ying
Zhai, Fei-Fei
Zhu, Yi-Cheng
author_sort Li, Wen-Xin
collection PubMed
description OBJECTIVE: Further studies are needed to improve the understanding of the pathological process underlying cognitive impairments. The purpose of this study is to investigate the global and topographic changes of white matter integrity and cortical structure related to cognitive impairments in a community-based population. METHODS: A cross-sectional analysis was performed based on 995 subjects (aged 56.8 ± 9.1 years, 34.8% males) from the Shunyi study, a community-dwelling cohort. Cognitive status was accessed by a series of neurocognitive tests including Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), category Verbal Fluency Test (VFT), Digit Span Test (DST), and Trail Making Tests A and B (TMT-A and TMT-B). Structural and diffusional MRI data were acquired. White matter integrity was assessed using fractional anisotropy (FA), mean diffusivity (MD), and peak width of skeletonized mean diffusivity (PSMD). Cortical surface area, thickness, and volume were measured using Freesurfer. Probabilistic tractography was further conducted to track the white matter fibers connecting to the cortical regions related to cognition. General linear models were used to investigate the association between brain structure and cognition. RESULTS: Global mean FA and MD were significantly associated with performances in VFT (FA, β 0.119, p < 0.001; MD, β −0.128, p < 0.001). Global cortical surface area, thickness, and volume were not related to cognitive scores. In tract-based spatial statistics analysis, disruptive white matter integrity was related to cognition impairment, mainly in visuomotor processing speed, semantic memory, and executive function (TMT-A and VFT), rather than verbal short-term memory and working memory (DST). In the whole brain vertex-wise analysis, surface area in the left orbitofrontal cortex, right posterior-dorsal part of the cingulate gyrus, and left central sulcus were positively associated with MMSE and MoCA scores, and the association were independent of the connecting white matter tract. CONCLUSION: Disrupted white matter integrity and regional cortical surface area were related to cognition in community-dwelling populations. The associations of cortical surface area and cognition were independent of the connecting white matter tract.
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spelling pubmed-100369092023-03-25 White matter and gray matter changes related to cognition in community populations Li, Wen-Xin Yuan, Jing Han, Fei Zhou, Li-Xin Ni, Jun Yao, Ming Zhang, Shu-Yang Jin, Zheng-Yu Cui, Li-Ying Zhai, Fei-Fei Zhu, Yi-Cheng Front Aging Neurosci Aging Neuroscience OBJECTIVE: Further studies are needed to improve the understanding of the pathological process underlying cognitive impairments. The purpose of this study is to investigate the global and topographic changes of white matter integrity and cortical structure related to cognitive impairments in a community-based population. METHODS: A cross-sectional analysis was performed based on 995 subjects (aged 56.8 ± 9.1 years, 34.8% males) from the Shunyi study, a community-dwelling cohort. Cognitive status was accessed by a series of neurocognitive tests including Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), category Verbal Fluency Test (VFT), Digit Span Test (DST), and Trail Making Tests A and B (TMT-A and TMT-B). Structural and diffusional MRI data were acquired. White matter integrity was assessed using fractional anisotropy (FA), mean diffusivity (MD), and peak width of skeletonized mean diffusivity (PSMD). Cortical surface area, thickness, and volume were measured using Freesurfer. Probabilistic tractography was further conducted to track the white matter fibers connecting to the cortical regions related to cognition. General linear models were used to investigate the association between brain structure and cognition. RESULTS: Global mean FA and MD were significantly associated with performances in VFT (FA, β 0.119, p < 0.001; MD, β −0.128, p < 0.001). Global cortical surface area, thickness, and volume were not related to cognitive scores. In tract-based spatial statistics analysis, disruptive white matter integrity was related to cognition impairment, mainly in visuomotor processing speed, semantic memory, and executive function (TMT-A and VFT), rather than verbal short-term memory and working memory (DST). In the whole brain vertex-wise analysis, surface area in the left orbitofrontal cortex, right posterior-dorsal part of the cingulate gyrus, and left central sulcus were positively associated with MMSE and MoCA scores, and the association were independent of the connecting white matter tract. CONCLUSION: Disrupted white matter integrity and regional cortical surface area were related to cognition in community-dwelling populations. The associations of cortical surface area and cognition were independent of the connecting white matter tract. Frontiers Media S.A. 2023-03-14 /pmc/articles/PMC10036909/ /pubmed/36967830 http://dx.doi.org/10.3389/fnagi.2023.1065245 Text en Copyright © 2023 Li, Yuan, Han, Zhou, Ni, Yao, Zhang, Jin, Cui, Zhai and Zhu. 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
Li, Wen-Xin
Yuan, Jing
Han, Fei
Zhou, Li-Xin
Ni, Jun
Yao, Ming
Zhang, Shu-Yang
Jin, Zheng-Yu
Cui, Li-Ying
Zhai, Fei-Fei
Zhu, Yi-Cheng
White matter and gray matter changes related to cognition in community populations
title White matter and gray matter changes related to cognition in community populations
title_full White matter and gray matter changes related to cognition in community populations
title_fullStr White matter and gray matter changes related to cognition in community populations
title_full_unstemmed White matter and gray matter changes related to cognition in community populations
title_short White matter and gray matter changes related to cognition in community populations
title_sort white matter and gray matter changes related to cognition in community populations
topic Aging Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10036909/
https://www.ncbi.nlm.nih.gov/pubmed/36967830
http://dx.doi.org/10.3389/fnagi.2023.1065245
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