Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging

Population aging has become a serious social problem. Accordingly, many researches are focusing on changes in brains of the elderly. In this study, we used multiple parameters to analyze age-related changes in white matter fibers. A sample cohort of 58 individuals was divided into young and middle-a...

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Main Authors: Yahui Ouyang, Dong Cui, Zilong Yuan, Zhipeng Liu, Qing Jiao, Tao Yin, Jianfeng Qiu
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Aging Neuroscience
Subjects:
age
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2021.664911/full
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spelling doaj-b85ed834a4144af8b0b278dead5751162021-06-28T06:10:42ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-06-011310.3389/fnagi.2021.664911664911Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor ImagingYahui Ouyang0Yahui Ouyang1Dong Cui2Zilong Yuan3Zhipeng Liu4Qing Jiao5Tao Yin6Jianfeng Qiu7Jianfeng Qiu8Medical Engineering and Technology Research Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an, ChinaCollege of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, ChinaDepartment of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, ChinaCollege of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an, ChinaInstitute of Biomedical Engineering, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, ChinaMedical Engineering and Technology Research Center, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an, ChinaCollege of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Tai’an, ChinaPopulation aging has become a serious social problem. Accordingly, many researches are focusing on changes in brains of the elderly. In this study, we used multiple parameters to analyze age-related changes in white matter fibers. A sample cohort of 58 individuals was divided into young and middle-age groups and tract-based spatial statistics (TBSS) were used to analyze the differences in fractional anisotropy (FA), mean diffusion (MD), axial diffusion (AD), and radial diffusion (RD) between the two groups. Deterministic fiber tracking was used to investigate the correlation between fiber number and fiber length with age. The TBSS analysis revealed significant differences in FA, MD, AD, and RD in multiple white matter fibers between the two groups. In the middle-age group FA and AD were lower than in young people, whereas the MD and RD values were higher. Deterministic fiber tracking showed that the fiber length of some fibers correlated positively with age. These fibers were observed in the splenium of corpus callosum (SCC), the posterior limb of internal capsule (PLIC), the right posterior corona radiata (PCR_R), the anterior corona radiata (ACR), the left posterior thalamic radiation (include optic radiation; PTR_L), and the left superior longitudinal fasciculus (SLF_L), among others. The results showed that the SCC, PLIC, PCR_R, ACR, PTR_L, and SLF_L significantly differed between young and middle-age people. Therefore, we believe that these fibers could be used as image markers of age-related white matter changes.https://www.frontiersin.org/articles/10.3389/fnagi.2021.664911/fullagegenderdiffusion tensor imaging (DTI)tract-based spatial statistics (TBSS)deterministic fiber tracking
collection DOAJ
language English
format Article
sources DOAJ
author Yahui Ouyang
Yahui Ouyang
Dong Cui
Zilong Yuan
Zhipeng Liu
Qing Jiao
Tao Yin
Jianfeng Qiu
Jianfeng Qiu
spellingShingle Yahui Ouyang
Yahui Ouyang
Dong Cui
Zilong Yuan
Zhipeng Liu
Qing Jiao
Tao Yin
Jianfeng Qiu
Jianfeng Qiu
Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
Frontiers in Aging Neuroscience
age
gender
diffusion tensor imaging (DTI)
tract-based spatial statistics (TBSS)
deterministic fiber tracking
author_facet Yahui Ouyang
Yahui Ouyang
Dong Cui
Zilong Yuan
Zhipeng Liu
Qing Jiao
Tao Yin
Jianfeng Qiu
Jianfeng Qiu
author_sort Yahui Ouyang
title Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
title_short Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
title_full Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
title_fullStr Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
title_full_unstemmed Analysis of Age-Related White Matter Microstructures Based on Diffusion Tensor Imaging
title_sort analysis of age-related white matter microstructures based on diffusion tensor imaging
publisher Frontiers Media S.A.
series Frontiers in Aging Neuroscience
issn 1663-4365
publishDate 2021-06-01
description Population aging has become a serious social problem. Accordingly, many researches are focusing on changes in brains of the elderly. In this study, we used multiple parameters to analyze age-related changes in white matter fibers. A sample cohort of 58 individuals was divided into young and middle-age groups and tract-based spatial statistics (TBSS) were used to analyze the differences in fractional anisotropy (FA), mean diffusion (MD), axial diffusion (AD), and radial diffusion (RD) between the two groups. Deterministic fiber tracking was used to investigate the correlation between fiber number and fiber length with age. The TBSS analysis revealed significant differences in FA, MD, AD, and RD in multiple white matter fibers between the two groups. In the middle-age group FA and AD were lower than in young people, whereas the MD and RD values were higher. Deterministic fiber tracking showed that the fiber length of some fibers correlated positively with age. These fibers were observed in the splenium of corpus callosum (SCC), the posterior limb of internal capsule (PLIC), the right posterior corona radiata (PCR_R), the anterior corona radiata (ACR), the left posterior thalamic radiation (include optic radiation; PTR_L), and the left superior longitudinal fasciculus (SLF_L), among others. The results showed that the SCC, PLIC, PCR_R, ACR, PTR_L, and SLF_L significantly differed between young and middle-age people. Therefore, we believe that these fibers could be used as image markers of age-related white matter changes.
topic age
gender
diffusion tensor imaging (DTI)
tract-based spatial statistics (TBSS)
deterministic fiber tracking
url https://www.frontiersin.org/articles/10.3389/fnagi.2021.664911/full
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