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Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets

文献类型：期刊论文

作者Dou, Xuejiao2,3,4; Yao, Hongxiang5; Feng, Feng6; Wang, Pan7,8; Zhou, Bo6; Jin, Dan2,3,4; Yang, Zhengyi2,3; Li, Jin2,3; Zhao, Cui6; Wang, Luning6
刊名CORTEX
出版日期2020-08-01
卷号129页码:390-405
关键词Alzheimer's disease Diffusion-weighted MRI Tract-specific analysis White matter Support vector machine
ISSN号0010-9452
DOI10.1016/j.cortex.2020.03.032
通讯作者Zhang, Xi(zhangxi@301hospital.com.cn) ; Liu, Yong(yliu@nlpr.ia.ac.cn)
英文摘要Alzheimer's disease (AD) is a chronic neurodegenerative disease characterized by progressive dementia. Diffusion tensor imaging (DTI) has been widely used to show structural integrity and delineate white matter (WM) degeneration in AD. The automated fiber quantification (AFQ) method is a fully automated approach that can rapidly and reliably identify major WM fiber tracts and evaluate WM properties. The main aim of this study was to assess WM integrity and abnormities in a cohort of patients with amnestic mild cognitive impairment (aMCI) and AD as well as normal controls (NCs). For this purpose, we first used AFQ to identify 20 major WM tracts and assessed WM integrity and abnormalities in a cohort of 120 subjects (39 NCs, 34 aMCI patients and 47 AD patients) in a discovery dataset and 122 subjects (43 NCs, 37 aMCI patients and 42 AD patients) in a replicated dataset. Pointwise differences along WM tracts were identified in the discovery dataset and simultaneously confirmed in the replicated dataset. Next, we investigated the utility of DTI measures along WM tracts as features to distinguish patients with AD from NCs via multilevel cross validation using a support vector machine. Correlation analysis revealed the identified microstructural WM alterations and classification output to be highly associated with cognitive ability in the patient groups, suggesting that they may be a robust biomarker of AD. This systematic study provides a pipeline to examine WM integrity and its potential clinical application in AD and may be useful for studying other neurological and psychiatric disorders. (c) 2020 Elsevier Ltd. All rights reserved.
WOS关键词ALTERED SPONTANEOUS ACTIVITY ; FUNCTIONAL CONNECTIVITY ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE ; DIFFUSION ; DEMENTIA ; TRACT ; CLASSIFICATION ; RECOMMENDATIONS
资助项目National Key Research and Development Program of China[2016YFC1305904] ; National Natural Science Foundation of China[81871438] ; National Natural Science Foundation of China[81571062] ; National Natural Science Foundation of China[81901101] ; National Natural Science Foundation of China[81701781] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDB32020200] ; Beijing Municipal Science and Technology Commission[Z171100000117001] ; Medical Big Data R&D Project of PLA General Hospital[2018MBD-028]
WOS研究方向Behavioral Sciences ; Neurosciences & Neurology ; Psychology
语种英语
WOS记录号WOS:000552946000009
出版者ELSEVIER MASSON, CORP OFF
资助机构National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Beijing Municipal Science and Technology Commission ; Medical Big Data R&D Project of PLA General Hospital
源URL[http://ir.ia.ac.cn/handle/173211/40265]  
专题自动化研究所_脑网络组研究中心
通讯作者Zhang, Xi; Liu, Yong
作者单位1.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China
2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China
3.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China
5.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Radiol, Beijing, Peoples R China
6.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Neurol, Beijing 100853, Peoples R China
7.Tianjin Huanhu Hosp, Dept Neurol, Tianjin 300350, Peoples R China
8.Nankai Univ, Dept Neurol, Huanhu Hosp, Tianjin, Peoples R China
推荐引用方式
GB/T 7714		 Dou, Xuejiao,Yao, Hongxiang,Feng, Feng,et al. Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets[J]. CORTEX,2020,129:390-405.
APA Dou, Xuejiao.,Yao, Hongxiang.,Feng, Feng.,Wang, Pan.,Zhou, Bo.,...&Liu, Yong.(2020).Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets.CORTEX,129,390-405.
MLA Dou, Xuejiao,et al."Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets".CORTEX 129(2020):390-405.

入库方式： OAI收割

来源：自动化研究所

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