神经科学通报(英文版)2023,Vol.39Issue(10) :1533-1543.DOI:10.1007/s12264-023-01041-w

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

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
神经科学通报(英文版)2023,Vol.39Issue(10) :1533-1543.DOI:10.1007/s12264-023-01041-w

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

Yida Qu 1Pan Wang 2Hongxiang Yao 2Dawei Wang 3Chengyuan Song 4Hongwei Yang 5Zengqiang Zhang 6Pindong Chen 1Xiaopeng Kang 1Kai Du 1Lingzhong Fan 1Bo Zhou 7Tong Han 8Chunshui Yu 9Xi Zhang 7Nianming Zuo 1Tianzi Jiang 1Yuying Zhou 2Bing Liu 10Ying Han 11Jie Lu 5Yong Liu 12Multi-Center Alzheimer's Disease Imaging(MCADI)Consortium
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作者信息

  • 1. 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
  • 2. Department of Neurology,Tianjin Huanhu Hospital,Tianjin University,Tianjin 300222,China
  • 3. Department of Radiology,Department of Epidemiology and Health Statistics,School of Public Health,Qilu Hospital of Shandong University,Ji'nan 250063,China
  • 4. Department of Neurology,Qilu Hospital of Shandong University,Ji'nan 250063,China
  • 5. Department of Radiology,Xuanwu Hospital of Capital Medical University,Beijing 100053,China
  • 6. Branch of Chinese,PLA General Hospital,Sanya 572022,China
  • 7. Department of Neurology,The Second Medical Centre,National Clinical Research Centre for Geriatric Diseases,Chinese PLA General Hospital,Beijing 100089,China
  • 8. Department of Radiology,Tianjin Huanhu Hospital,Tianjin 300222,China
  • 9. Department of Radiology,Tianjin Medical University General Hospital,Tianjin 300052,China
  • 10. 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;State Key Lab of Cognition Neuroscience&Learning,Beijing Normal University,Beijing 100091,China
  • 11. 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
  • 12. Brainnetome Center and National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing 100876,China
  • 折叠

Abstract

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.

Key words

Alzheimer's disease/Diffusion tensor imaging/White matter tracts/Cross-validation

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基金项目

Science and Technology Innovation 2030 Major Projects(2022ZD0211600)

Beijing Natural Science Funds for Distinguished Young Scholars(JQ20036)

Beijing Nova Program(20220484177)

Fundamental Research Funds for the Central Universities(2021XD-A03)

National Natural Science Foundation of China(82172018)

National Natural Science Foundation of China(81871438)

National Natural Science Foundation of China(61633018)

National Natural Science Foundation of China(81571062)

National Natural Science Foundation of China(81400890)

National Natural Science Foundation of China(81471120)

National Natural Science Foundation of China(81701781)

出版年

2023
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
参考文献量69
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