Hippocampal shape analysis in Alzheimer's disease using functional data analysis

被引:19
作者
Epifanio, Irene [1 ]
Ventura-Campos, Noelia [2 ]
机构
[1] Univ Jaume 1, Dept Matemat, Castellon de La Plana 12071, Spain
[2] Univ Jaume 1, Dept Psicol Basica Clin & Psicobiol, Castellon de La Plana 12071, Spain
关键词
functional data analysis; shape analysis; Alzheimer's disease; principal component analysis; independent component analysis; discriminant analysis; MILD COGNITIVE IMPAIRMENT; MULTILAYER PERCEPTRON; CLASSIFICATION; SURFACES; VOLUME; ALGORITHMS; FEATURES;
D O I
10.1002/sim.5968
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The hippocampus is one of the first affected regions in Alzheimer's disease. The left hippocampi of control subjects, patients with mild cognitive impairment and patients with Alzheimer's disease are represented by spherical harmonics. Functional data analysis is used in the hippocampal shape analysis. Functional principal component analysis and functional independent component analysis are defined for multivariate functions with two arguments. A functional linear discriminant function is also defined. Comparisons with other approaches are carried out. Our functional approach gives promising results, especially in shape classification. Copyright (c) 2013 John Wiley & Sons, Ltd.
引用
收藏
页码:867 / 880
页数:14
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