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Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions

White matter lesions (WMLs) are notable for their high prevalence and have been demonstrated to be a potential neuroimaging biomarker of early diagnosis of Alzheimer’s disease. This study aimed to identify the brain functional and structural mechanisms underlying cognitive decline observed in mild W...

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Autores principales: Liang, Ying, Sun, Xuan, Xu, Shijun, Liu, Yaou, Huang, Ruiwang, Jia, Jianjun, Zhang, Zhanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4757671/
https://www.ncbi.nlm.nih.gov/pubmed/26924981
http://dx.doi.org/10.3389/fnagi.2016.00027
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author Liang, Ying
Sun, Xuan
Xu, Shijun
Liu, Yaou
Huang, Ruiwang
Jia, Jianjun
Zhang, Zhanjun
author_facet Liang, Ying
Sun, Xuan
Xu, Shijun
Liu, Yaou
Huang, Ruiwang
Jia, Jianjun
Zhang, Zhanjun
author_sort Liang, Ying
collection PubMed
description White matter lesions (WMLs) are notable for their high prevalence and have been demonstrated to be a potential neuroimaging biomarker of early diagnosis of Alzheimer’s disease. This study aimed to identify the brain functional and structural mechanisms underlying cognitive decline observed in mild WMLs. Multi-domain cognitive tests, as well as resting-state, diffusion tensor and structural images were obtained on 42 mild WMLs and 42 age/sex-matched healthy controls. For each participant, we examined the functional connectivity (FC) of three resting-state networks (RSNs) related to the changed cognitive domains: the default mode network (DMN) and the bilateral fronto-parietal network (FPN). We also performed voxel-based morphometry analysis to compare whole-brain gray matter (GM) volume, atlas-based quantification of the white matter tracts interconnecting the RSNs, and the relationship between FC and structural connectivity. We observed FC alterations in the DMN and the right FPN combined with related white matter integrity disruption in mild WMLs. However, no significant GM atrophy difference was found. Furthermore, the right precuneus FC in the DMN exhibited a significantly negative correlation with the memory test scores. Our study suggests that in mild WMLs, dysfunction of RSNs might be a consequence of decreased white matter structural connectivity, which further affects cognitive performance.
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spelling pubmed-47576712016-02-26 Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions Liang, Ying Sun, Xuan Xu, Shijun Liu, Yaou Huang, Ruiwang Jia, Jianjun Zhang, Zhanjun Front Aging Neurosci Neuroscience White matter lesions (WMLs) are notable for their high prevalence and have been demonstrated to be a potential neuroimaging biomarker of early diagnosis of Alzheimer’s disease. This study aimed to identify the brain functional and structural mechanisms underlying cognitive decline observed in mild WMLs. Multi-domain cognitive tests, as well as resting-state, diffusion tensor and structural images were obtained on 42 mild WMLs and 42 age/sex-matched healthy controls. For each participant, we examined the functional connectivity (FC) of three resting-state networks (RSNs) related to the changed cognitive domains: the default mode network (DMN) and the bilateral fronto-parietal network (FPN). We also performed voxel-based morphometry analysis to compare whole-brain gray matter (GM) volume, atlas-based quantification of the white matter tracts interconnecting the RSNs, and the relationship between FC and structural connectivity. We observed FC alterations in the DMN and the right FPN combined with related white matter integrity disruption in mild WMLs. However, no significant GM atrophy difference was found. Furthermore, the right precuneus FC in the DMN exhibited a significantly negative correlation with the memory test scores. Our study suggests that in mild WMLs, dysfunction of RSNs might be a consequence of decreased white matter structural connectivity, which further affects cognitive performance. Frontiers Media S.A. 2016-02-18 /pmc/articles/PMC4757671/ /pubmed/26924981 http://dx.doi.org/10.3389/fnagi.2016.00027 Text en Copyright © 2016 Liang, Sun, Xu, Liu, Huang, Jia and Zhang. 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) or licensor 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
Liang, Ying
Sun, Xuan
Xu, Shijun
Liu, Yaou
Huang, Ruiwang
Jia, Jianjun
Zhang, Zhanjun
Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title_full Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title_fullStr Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title_full_unstemmed Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title_short Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions
title_sort preclinical cerebral network connectivity evidence of deficits in mild white matter lesions
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4757671/
https://www.ncbi.nlm.nih.gov/pubmed/26924981
http://dx.doi.org/10.3389/fnagi.2016.00027
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