Predicting cognitive decline: Deep-learning reveals subtle brain changes in pre-MCI stage.

Journal: The journal of prevention of Alzheimer's disease
PMID: 39920001

Abstract

BACKGROUND: Mild cognitive impairment (MCI) and preclinical MCI (e.g., subjective cognitive decline, SCD) are considered risk states of dementia, such as Alzheimer's Disease (AD). However, it is challenging to accurately predict conversion from normal cognition (NC) to MCI, which is important for early detection and intervention. Since neuropathological changes may have occurred in the brain many years before clinical AD, we sought to detect the subtle brain changes in the pre-MCI stage using a deep-learning method based on structural Magnetic Resonance Imaging (MRI).

Authors

  • Ling Yue
    Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Yongsheng Pan
    School of Biomedical Engineering & State Key Laboratory of Advanced Medical Materials and Devices, ShanghaiTech University, Shanghai, China.
  • Wei Li
    Department of Nephrology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
  • Junyan Mao
    Department of Geriatric Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, 200032, Shanghai, China; Alzheimer's Disease and Related Disorders Center, Shanghai Jiao Tong University, 600 South Wanping Road, 200032, Shanghai, China.
  • Bo Hong
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, 100084, China. hongbo@tsinghua.edu.cn.
  • Zhen Gu
    State Key Laboratory of Advanced Drug Delivery and Release Systems, and Liangzhu Laboratory, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China.
  • Mingxia Liu
    Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Dinggang Shen
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Shifu Xiao
    Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine, Shanghai, China.

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