作者
Man Guo, Yongchao Li, Weihao Zheng, Keman Huang, Li Zhou, Xiping Hu, Zhijun Yao, Bin Hu
发表日期
2020/10
期刊
Journal of Neurology
卷号
267
页码范围
2983-2997
出版商
Springer Berlin Heidelberg
简介
Mild cognitive impairment (MCI) is a pre-existing state of Alzheimer's disease (AD). An accurate prediction on the conversion from MCI to AD is of vital clinical significance for potential prevention and treatment of AD. Longitudinal studies received widespread attention for investigating the disease progression, though most studies did not sufficiently utilize the evolution information. In this paper, we proposed a cerebral similarity network with more progression information to predict the conversion from MCI to AD efficiently. First, we defined the new dynamic morphological feature to mine longitudinal information sufficiently. Second, based on the multiple dynamic morphological features the cerebral similarity network was constructed by sparse regression algorithm with optimized parameters to obtain better prediction performance. Then, leave-one-out cross-validation and support vector machine (SVM) were …
学术搜索中的文章
M Guo, Y Li, W Zheng, K Huang, L Zhou, X Hu, Z Yao… - Journal of Neurology, 2020