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The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging

Macromorphological and microstructural changes of gray matter (GM) happen during brain normal aging. However, the mechanism of macro-microstructure association is still unclear, which is of guidance for understanding many neurodegenerative diseases. In this study, adopting structural magnetic resona...

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Autores principales: Zhao, Xin, Wu, Qiong, Chen, Yuanyuan, Song, Xizi, Ni, Hongyan, Ming, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423803/
https://www.ncbi.nlm.nih.gov/pubmed/30930828
http://dx.doi.org/10.3389/fneur.2019.00184
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author Zhao, Xin
Wu, Qiong
Chen, Yuanyuan
Song, Xizi
Ni, Hongyan
Ming, Dong
author_facet Zhao, Xin
Wu, Qiong
Chen, Yuanyuan
Song, Xizi
Ni, Hongyan
Ming, Dong
author_sort Zhao, Xin
collection PubMed
description Macromorphological and microstructural changes of gray matter (GM) happen during brain normal aging. However, the mechanism of macro-microstructure association is still unclear, which is of guidance for understanding many neurodegenerative diseases. In this study, adopting structural magnetic resonance imaging (sMRI) and diffusion kurtosis imaging (DKI), GM aging pattern was characterized and its macro-microstructure associations were revealed. For 60 subjects among the ages of 47–79, the DKI and T1-weighted images were investigated with voxel-based analysis. The results showed age-related overlapped patterns between morphological and microstructural alterations during normal aging. It was worth noting that morphological changes and mean diffusivity (MD) indexes abnormalities mainly overlapped in the following regions, superior frontal gyrus, inferior frontal gyrus, cingulum gyrus, superior temporal gyrus, insula, and thalamus. Besides, overlapped with GM atrophies, mean kurtosis (MK) abnormalities were observed in superior frontal gyrus, inferior frontal gyrus, transverse temporal gyrus, insula, and thalamus. What important was that intrinsic aging independent associations between macrostructure and microstructure were found especially in media superior frontal gyrus, which revealed the potential mechanisms in the process of aging. The physiological mechanism may be associated with the elimination of neurons and synapses and the shrinkage of large neurons. Understanding the associations of GM volume changes and microstructural changes can account for the underlying mechanisms of aging and age-related neurodegenerative diseases.
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spelling pubmed-64238032019-03-29 The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging Zhao, Xin Wu, Qiong Chen, Yuanyuan Song, Xizi Ni, Hongyan Ming, Dong Front Neurol Neurology Macromorphological and microstructural changes of gray matter (GM) happen during brain normal aging. However, the mechanism of macro-microstructure association is still unclear, which is of guidance for understanding many neurodegenerative diseases. In this study, adopting structural magnetic resonance imaging (sMRI) and diffusion kurtosis imaging (DKI), GM aging pattern was characterized and its macro-microstructure associations were revealed. For 60 subjects among the ages of 47–79, the DKI and T1-weighted images were investigated with voxel-based analysis. The results showed age-related overlapped patterns between morphological and microstructural alterations during normal aging. It was worth noting that morphological changes and mean diffusivity (MD) indexes abnormalities mainly overlapped in the following regions, superior frontal gyrus, inferior frontal gyrus, cingulum gyrus, superior temporal gyrus, insula, and thalamus. Besides, overlapped with GM atrophies, mean kurtosis (MK) abnormalities were observed in superior frontal gyrus, inferior frontal gyrus, transverse temporal gyrus, insula, and thalamus. What important was that intrinsic aging independent associations between macrostructure and microstructure were found especially in media superior frontal gyrus, which revealed the potential mechanisms in the process of aging. The physiological mechanism may be associated with the elimination of neurons and synapses and the shrinkage of large neurons. Understanding the associations of GM volume changes and microstructural changes can account for the underlying mechanisms of aging and age-related neurodegenerative diseases. Frontiers Media S.A. 2019-03-12 /pmc/articles/PMC6423803/ /pubmed/30930828 http://dx.doi.org/10.3389/fneur.2019.00184 Text en Copyright © 2019 Zhao, Wu, Chen, Song, Ni and Ming. http://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 Neurology
Zhao, Xin
Wu, Qiong
Chen, Yuanyuan
Song, Xizi
Ni, Hongyan
Ming, Dong
The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title_full The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title_fullStr The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title_full_unstemmed The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title_short The Conjoint Analysis of Microstructural and Morphological Changes of Gray Matter During Aging
title_sort conjoint analysis of microstructural and morphological changes of gray matter during aging
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6423803/
https://www.ncbi.nlm.nih.gov/pubmed/30930828
http://dx.doi.org/10.3389/fneur.2019.00184
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