Knowledge Commons of Institute of Automation,CAS
Altered Connection and Diagnosis Utility of White Matter in Alzheimer's Disease: A Multi-site Automated Fiber Quantification Study | |
Qu, Yida1,2![]() ![]() ![]() ![]() ![]() | |
2021-11 | |
会议名称 | 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) |
页码 | 2923-2927 |
会议日期 | 01-05 November 2021 |
会议地点 | Guadalajara, Jalisco, Mexico |
摘要 | 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. |
学科门类 | 工学::控制科学与工程 |
DOI | 10.1109/EMBC46164.2021.9630117 |
收录类别 | EI |
资助项目 | National Natural Science Foundation of China[81871438] ; National Key Research and Development Program of China[2017YFB1002502] ; National Natural Science Foundation of China[81871438] ; National Key Research and Development Program of China[2017YFB1002502] |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/48733 |
专题 | 脑图谱与类脑智能实验室_脑网络组研究 |
通讯作者 | Liu, Yong |
作者单位 | 1.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 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Altered_Connection_a(1472KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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