机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China,[2]BABRI Centre, Beijing Normal University, Beijing, China,[3]Department of Geriatric Neurology, Chinese PLA General Hospital, Beijing, China,[4]Chengdu University of Traditional Chinese Medicine, Chengdu, China,[5]Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China,放射科首都医科大学宣武医院[6]Centre for Studies of Psychological Application, South China Normal University, Guangzhou, China
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.
基金：
the Beijing New Medical Discipline Based Group(100270569),
the National Natural Science Foundation of China(Nos.30873458,and 81173460),
the Project of Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences(Z0251andZ0288),
the State Key Program of NationalNatural Science of China(No.81430100).
第一作者机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China,[2]BABRI Centre, Beijing Normal University, Beijing, China,
共同第一作者：
通讯作者：
通讯机构：[1]State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China,[2]BABRI Centre, Beijing Normal University, Beijing, China,
推荐引用方式(GB/T 7714)：
Ying Liang,Xuan Sun,Shijun Xu,et al.Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions[J].FRONTIERS IN AGING NEUROSCIENCE.2016,8(FEB):27.doi:10.3389/fnagi.2016.00027.
APA：
Ying Liang,Xuan Sun,Shijun Xu,Yaou Liu,Ruiwang Huang...&Zhanjun Zhang.(2016).Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions.FRONTIERS IN AGING NEUROSCIENCE,8,(FEB)
MLA：
Ying Liang,et al."Preclinical Cerebral Network Connectivity Evidence of Deficits in Mild White Matter Lesions".FRONTIERS IN AGING NEUROSCIENCE 8..FEB(2016):27
