CASIA OpenIR  > 脑网络组研究
Altered Connection and Diagnosis Utility of White Matter in Alzheimer's Disease: A Multi-site Automated Fiber Quantification Study
Qu, Yida1,2; Wang, Pan3; Liu, Bing4; Kang, Xiaopeng1,2; Chen, Pindong1,2; Du, Kai1,2; Liu, Yong5
2021-11
Conference Name2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Pages2923-2927
Conference Date01-05 November 2021
Conference PlaceGuadalajara, Jalisco, Mexico
Abstract

Alzheimer's disease (AD) is a typical neurodegenerative disease that is associated with cognitive decline, memory loss, and functional disconnection. Diffusion tensor imaging (DTI) has been widely used to investigate the integrity and degeneration of white matter in AD. In this study, with one of the world's largest DTI biobanks (865 individuals), we aim to explore the diagnosis utility and stability of tractbased features (extracted by automated fiber quantification (AFQ) pipeline) in AD. First, we studied the clinical association of tract-based features by detecting AD-associated alterations of diffusion properties along fiber bundles. Then, a binary classification experiment between AD and normal controls was performed using tract-based diffusion properties as features and support vector machine (SVM) as a classifier with an independent site cross-validation strategy. The average accuracy of 77.90% (the highest was 88.89%) showed that white matter properties as biomarkers had a relatively stable role in the clinical diagnosis of AD.

MOST Discipline Catalogue工学::控制科学与工程
DOI10.1109/EMBC46164.2021.9630117
Indexed ByEI
Funding ProjectNational Key Research and Development Program of China[2017YFB1002502] ; National Natural Science Foundation of China[81871438] ; National Natural Science Foundation of China[81871438] ; National Key Research and Development Program of China[2017YFB1002502]
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48733
Collection脑网络组研究
Corresponding AuthorLiu, Yong
Affiliation1.Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, China
4.State Key Lab of Cognition Neuroscience & Learning, Beijing Normal University, Beijing, China
5.School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qu, Yida,Wang, Pan,Liu, Bing,et al. Altered Connection and Diagnosis Utility of White Matter in Alzheimer's Disease: A Multi-site Automated Fiber Quantification Study[C],2021:2923-2927.
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