CASIA OpenIR  > 脑网络组研究中心
Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification
Dou, Xuejiao1,2; Yao, Hongxiang3; Jin, Dan1,2; Feng, Feng4,5; Wang, Pan6; Zhou, Bo4; Liu, Bing1,2,7; Yang, Zhengyi1; An, Ningyu3; Zhang, Xi4; Liu, Yong1,2,7
2019-04
Conference NameIEEE International Symposium on Biomedical Imaging
Conference DateApril 8 - 11, 2019
Conference PlaceThe Hilton Molino Stucky in Venice
Abstract

Alzheimer's disease (AD) is a neurodegenerative disease characterized by progressive dementia. Diffusion tensor imaging (DTI) has been used widely to delineate the white matter integrity/degeneration in AD. Automated fiber quantification (AFQ) method is a fully automated method, which can identify the major white matter fiber tracts and then evaluate the white matter properties. The main purpose of this study is to assess the white matter integrity and abnormities in a cohort of amnestic Mild Cognitive Impairment (aMCI) and AD patients as well as normal controls (NCs). We tested the utility of diffusion tensor imaging measures along white matter tracts as features to classify the AD from NCs using support vector machine. The results showed that we have detected credible and robust potential early biomarker that may be useful for clinical application in AD.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23370
Collection脑网络组研究中心
Corresponding AuthorLiu, Yong
Affiliation1.Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
2.School of Artificial Intelligence, University of Chinese Academy of Sciences, China
3.Department of Radiology, Chinese PLA General Hospital, Beijing, China
4.Department of Neurology, Nanlou Division, Chinese PLA General Hospital; National Clinical Research Center for Geriatric Diseases, Beijing, China
5.Department of Neurology, The General Hospital of the PLA Rocket Force, Beijing, China
6.Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China
7.CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China;  Institute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Dou, Xuejiao,Yao, Hongxiang,Jin, Dan,et al. Characterizing White Matter Connectivity in Alzheimer's Disease and Mild Cognitive Impairment: Automated Fiber Quantification[C],2019.
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