安徽大学学报（自然科学版）2014，Vol.38Issue(2)：90-95,6.DOI:10.3969/j.issn.1000-2162.2014.02.014
轻度认知障碍转化阿尔兹海默病影像预测研究
The research on imaging prediction of MCI convert to AD
摘要
Abstract
The paper discusses the conversion from mild cognitive impairment to Alzheimer's disease based on structural magnetic resonance imaging. 152 mild cognitive impairment patients, 101 Alzheimer's disease patients and 97 normal controls are selected as study objects. Firstly, independent component analysis is adopted to execute feature extraction of Alzheimer's disease and normal controls samples. Then, selection of voxel of interest is executed to get different feature information between two groups. And feature information of mild cognitive impairment is obtained by putting mild cognitive impairment samples to the feature space of Alzheimer's disease and normal controls samples. Finally, support vector machine is employed to predict whether mild cognitive impairment will convert to Alzheimer's disease. Prediction accuracy, sensitivity and specificity are 80. 26%, 86. 30%, and 74. 68% respectively. The results show that discriminative features between Alzheimer's disease patients and normal controls can accurately predict whether mild cognitive impairment will convert to Alzheimer's disease.关键词
轻度认知障碍/阿尔兹海默病/结构核磁共振成像/独立成分分析/支持向量机Key words
mild cognitive impairment/Alzheimer's disease/structural magnetic resonance imaging/independent component analysis/support vector machine分类
医药卫生引用本文复制引用
杨文璐,刘凤侠,张小慢..轻度认知障碍转化阿尔兹海默病影像预测研究[J].安徽大学学报（自然科学版）,2014,38(2):90-95,6.基金项目
上海市教育委员会科研创新资助项目(12YZ116) （12YZ116）
