Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment

doi:10.3233/JAD-190174

	Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment
	Zhu, Wenhao 3; Huang, Hao 3; Yang, Shiqi 1; Luo, Xiang 3; Zhu, Wenzhen 1; Xu, Shabei 3; Meng, Qi 3; Zuo, Chengchao 3; Zhao, Kun 2,4; Liu, Hesheng 5
刊名	JOURNAL OF ALZHEIMERS DISEASE
	2019
卷号	71 期号:2 页码:461-476
关键词	Functional connectivity mild cognitive impairment resting-state functional MRI support vector machine white matter hyperintensities
ISSN号	1387-2877
DOI	10.3233/JAD-190174
通讯作者	Liu, Yong(yliu@nlpr.ia.ac.cn) ; Wang, Wei(wwang@tjh.tjmu.edu.cn)
英文摘要	Background: White matter hyperintensities (WMH) are common in older adults and are associated with cognitive decline. However, little is known about the functional changes underlying cognitive decline in WMH subjects. Objectives: To investigate whole-brain functional connectivity (FC) underpinnings of cognitive decline in WMH subjects using univariate and multivariate analyses. Methods: Twenty-three WMH subjects with mild cognitive impairment (WMH-MCI), 43 WMH subjects with no cognitive impairment (WMH-nCI), and 55 healthy controls underwent resting-state functional MRI scans. Whole-brain FC was calculated using the fine-grained human Brainnetome Atlas, followed by performance of between-group comparisons and FC-cognition correlation analysis. A multivariate analysis using support vector machine (SVM) was performed to classify WMH-MCI and WMH-nCI subjects based on FC. Results: Both the WMH-MCI and WMH-nCI subjects exhibited characteristic impaired FC patterns. Markedly reduced FC involving subcortical nuclei and cortical hub regions of cognitive networks, especially the cingulate cortex, was identified in the WMH-MCI patients. In the WMH-MCI group, several connections involving the cingulate cortex were associated with cognitive decline. The exploratory mediation analyses indicated that FC alterations could partially explain the association between WMH and cognition. Furthermore, an SVM classifier based on FC distinguished WMH-MCI and WMH-nCI subjects with 78.8% accuracy. Connections that contributed most to the classification showed a similar distribution as the connections identified in the univariate analysis. Conclusions: This study provides a new window into the pathophysiology of cognitive impairment in WMH subjects and offer a novel and potential approach for early detection of the cognitive impairment in WMH subjects at the individual level.
资助项目	National Key Research and Development Program of China[2016YFC1300500] ; National Key Research and Development Program of China[2016YFC1305904] ; National Natural Science Foundation of China[91332108] ; National Natural Science Foundation of China[61327902-6] ; National Natural Science Foundation of China[81801146] ; National Natural Science Foundation of China[81571062] ; NIH[1R01NS091604] ; NIH[P50MH106435] ; Beijing Municipal Science & Technology Commission[Z161100002616009] ; Natural Science Foundation of Hubei Province[2017CFB392]
WOS关键词	SMALL VESSEL DISEASE ; FUNCTIONAL CONNECTIVITY ; BRAIN NETWORKS ; STRUCTURAL CONNECTIVITY ; CINGULATE CORTEX ; HEAD MOTION ; LESIONS ; DISRUPTION ; DEMENTIA ; SCALE
WOS研究方向	Neurosciences & Neurology
语种	英语
出版者	IOS PRESS
WOS记录号	WOS:000487075400009
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China ; NIH ; Beijing Municipal Science & Technology Commission ; Natural Science Foundation of Hubei Province
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/27019]
专题	中国科学院自动化研究所
通讯作者	Liu, Yong; Wang, Wei
作者单位	1.Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China 2.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing, Peoples R China 3.Huazhong Univ Sci & Technol, Tongji Med Coll, Tongji Hosp, Dept Neurol, Wuhan 430030, Hubei, Peoples R China 4.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China 5.Harvard Med Sch, Massachusetts Gen Hosp, Athinoula A Martinos Ctr Biomed Imaging, Boston, MA 02115 USA 6.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 7.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Inst Automat, Beijing, Peoples R China 8.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhu, Wenhao,Huang, Hao,Yang, Shiqi,et al. Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment[J]. JOURNAL OF ALZHEIMERS DISEASE,2019,71(2):461-476.
APA	Zhu, Wenhao.,Huang, Hao.,Yang, Shiqi.,Luo, Xiang.,Zhu, Wenzhen.,...&Wang, Wei.(2019).Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment.JOURNAL OF ALZHEIMERS DISEASE,71(2),461-476.
MLA	Zhu, Wenhao,et al."Dysfunctional Architecture Underlies White Matter Hyperintensities with and without Cognitive Impairment".JOURNAL OF ALZHEIMERS DISEASE 71.2(2019):461-476.