Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1782416486930841600 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4757671 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liangying preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT sunxuan preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT xushijun preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT liuyaou preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT huangruiwang preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT jiajianjun preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions AT zhangzhanjun preclinicalcerebralnetworkconnectivityevidenceofdeficitsinmildwhitematterlesions |