Reproducible Abnormalities and Diagnostic Generalizability of White Matter in Alzheimer's Disease

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外文摘要：Alzheimer's disease(AD)is associated with the impairment of white matter(WM)tracts.The current study aimed to verify the utility of WM as the neuroim-aging marker of AD with multisite diffusion tensor imag-ing datasets[321 patients with AD,265 patients with mild cognitive impairment(MCI),279 normal controls(NC)],a unified pipeline,and independent site cross-validation.Automated fiber quantification was used to extract diffu-sion profiles along tracts.Random-effects meta-analyses showed a reproducible degeneration pattern in which frac-tional anisotropy significantly decreased in the AD and MCI groups compared with NC.Machine learning models using tract-based features showed good generalizability among independent site cross-validation.The diffusion metrics of the altered regions and the AD probability predicted by the models were highly correlated with cognitive ability in the AD and MCI groups.We highlighted the reproducibility and generalizability of the degeneration pattern of WM tracts in AD.

外文关键词：

Alzheimer's diseaseDiffusion tensor imagingWhite matter tractsCross-validation

作者：

Yida Qu、Pan Wang、Hongxiang Yao、Dawei Wang、Chengyuan Song、Hongwei Yang、Zengqiang Zhang、Pindong Chen、Xiaopeng Kang、Kai Du、Lingzhong Fan、Bo Zhou、Tong Han、Chunshui Yu、Xi Zhang、Nianming Zuo、Tianzi Jiang、Yuying Zhou、Bing Liu、Ying Han、Jie Lu、Yong Liu、Multi-Center Alzheimer's Disease Imaging(MCADI)Consortium

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作者单位：

Brainnetome Center and National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China

Department of Neurology,Tianjin Huanhu Hospital,Tianjin University,Tianjin 300222,China

Department of Radiology,Department of Epidemiology and Health Statistics,School of Public Health,Qilu Hospital of Shandong University,Ji'nan 250063,China

Department of Neurology,Qilu Hospital of Shandong University,Ji'nan 250063,China

Department of Radiology,Xuanwu Hospital of Capital Medical University,Beijing 100053,China

Branch of Chinese,PLA General Hospital,Sanya 572022,China

Department of Neurology,The Second Medical Centre,National Clinical Research Centre for Geriatric Diseases,Chinese PLA General Hospital,Beijing 100089,China

Department of Radiology,Tianjin Huanhu Hospital,Tianjin 300222,China

Department of Radiology,Tianjin Medical University General Hospital,Tianjin 300052,China

State Key Lab of Cognition Neuroscience&Learning,Beijing Normal University,Beijing 100091,China

Department of Neurology,Xuanwu Hospital of Capital Medical University,Beijing 100053,China

Beijing Institute of Geriatrics,Beijing 100053,China

National Clinical Research Center for Geriatric Disorders,Beijing 100053,China

Center of Alzheimer's Disease,Beijing Institute for Brain Disorders,Beijing 100053,China

School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 100876,China

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基金：

Science and Technology Innovation 2030 Major ProjectsBeijing Natural Science Funds for Distinguished Young ScholarsBeijing Nova ProgramFundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

项目编号：

2022ZD0211600JQ20036202204841772021XD-A0382172018818714386163301881571062814008908147112081701781

出版年：

2023

DOI：

10.1007/s12264-023-01041-w

神经科学通报(英文版)

中国科学院上海生命科学研究院

神经科学通报(英文版)

CSTPCDCSCD

影响因子：0.741

ISSN：1673-7067

年,卷(期)：2023.39(10)

参考文献量69