| Characterizing white matter connectivity in Alzheimer's disease and mild cognitive impairment: An automated fiber quantification analysis with two independent datasets | |
Dou, Xuejiao1,2,3 ; Yao, Hongxiang4; Feng, Feng5; Wang, Pan6,7; Zhou, Bo5; Jin, Dan1,2,3; Yang, Zhengyi1,2; Li, Jin1,2; Zhao, Cui5; Wang, Luning5; An, Ningyu4; Liu, Bing1,2,3,8; Zhang, Xi5; Liu, Yong1,2,3,8
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| Source Publication | CORTEX
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| ISSN | 0010-9452 |
| 2020-08-01 | |
| Volume | 129Pages:390-405 |
| Corresponding Author | Zhang, Xi(zhangxi@301hospital.com.cn) ; Liu, Yong(yliu@nlpr.ia.ac.cn) |
| Abstract | 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. |
| Keyword | Alzheimer's disease Diffusion-weighted MRI Tract-specific analysis White matter Support vector machine |
| DOI | 10.1016/j.cortex.2020.03.032 |
| WOS Keyword | ALTERED SPONTANEOUS ACTIVITY ; FUNCTIONAL CONNECTIVITY ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE ; DIFFUSION ; DEMENTIA ; TRACT ; CLASSIFICATION ; RECOMMENDATIONS |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] |
| Funding Organization | 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 |
| WOS Research Area | Behavioral Sciences ; Neurosciences & Neurology ; Psychology |
| WOS Subject | Behavioral Sciences ; Neurosciences ; Psychology, Experimental |
| WOS ID | WOS:000552946000009 |
| Publisher | ELSEVIER MASSON, CORP OFF |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/40266 |
| Collection | 脑网络组研究 |
| Corresponding Author | Zhang, Xi; Liu, Yong |
| Affiliation | 1.Chinese Acad Sci, Brainnetome Ctr, Inst Automat, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China 4.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Radiol, Beijing, Peoples R China 5.Chinese Peoples Liberat Army Gen Hosp, Med Ctr 2, Natl Clin Res Ctr Geriatr Dis, Dept Neurol, Beijing 100853, Peoples R China 6.Tianjin Huanhu Hosp, Dept Neurol, Tianjin 300350, Peoples R China 7.Nankai Univ, Dept Neurol, Huanhu Hosp, Tianjin, Peoples R China 8.Chinese Acad Sci, CAS Ctr Excellence Brain Sci & Intelligence Techn, Inst Automat, Beijing, Peoples R China |
| First Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Corresponding Author Affilication | Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| Recommended Citation 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. |
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