Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning.

Journal: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Published Date: Aug 14, 2020

Abstract

OBJECTIVE: Efficient prediction of the progression of mild cognitive impairment (MCI) to Alzheimer's disease (AD) is important for the early intervention and management of AD. The aim of our study was to develop a longitudinal structural magnetic resonance imaging-based prediction system for MCI progression.

Authors

  • Yanyan Lin
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Kexin Huang
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Hanxiao Xu
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Zhengzheng Qiao
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Suping Cai
    School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710071, PR China.
  • Yubo Wang
    School of Life Science and Technology, Xidian University, Xi'an, China.
  • Liyu Huang
    School of Life Science and Technology, Xidian University, Xi'an, 710071, Shaanxi, People's Republic of China. huangly@mail.xidian.edu.cn.

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