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Proceedings Paper

Independent component analysis of DTI data reveals white matter covariances in Alzheimer's disease
Author(s): Xin Ouyang; Xiaoyu Sun; Ting Guo; Qiaoyue Sun; Kewei Chen; Li Yao; Xia Wu; Xiaojuan Guo
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Paper Abstract

Alzheimer’s disease (AD) is a progressive neurodegenerative disease with the clinical symptom of the continuous deterioration of cognitive and memory functions. Multiple diffusion tensor imaging (DTI) indices such as fractional anisotropy (FA) and mean diffusivity (MD) can successfully explain the white matter damages in AD patients. However, most studies focused on the univariate measures (voxel-based analysis) to examine the differences between AD patients and normal controls (NCs). In this investigation, we applied a multivariate independent component analysis (ICA) to investigate the white matter covariances based on FA measurement from DTI data in 35 AD patients and 45 NCs from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. We found that six independent components (ICs) showed significant FA reductions in white matter covariances in AD compared with NC, including the genu and splenium of corpus callosum (IC-1 and IC-2), middle temporal gyral of temporal lobe (IC-3), sub-gyral of frontal lobe (IC-4 and IC-5) and sub-gyral of parietal lobe (IC-6). Our findings revealed covariant white matter loss in AD patients and suggest that the unsupervised data-driven ICA method is effective to explore the changes of FA in AD. This study assists us in understanding the mechanism of white matter covariant reductions in the development of AD.

Paper Details

Date Published: 13 March 2014
PDF: 7 pages
Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 90380B (13 March 2014); doi: 10.1117/12.2042237
Show Author Affiliations
Xin Ouyang, Beijing Normal Univ. (China)
Xiaoyu Sun, Beijing Normal Univ. (China)
Ting Guo, Beijing Normal Univ. (China)
Qiaoyue Sun, Beijing Normal Univ. (China)
Kewei Chen, Banner Alzheimer's Institute (United States)
Li Yao, Beijing Normal Univ. (China)
Xia Wu, Beijing Normal Univ. (China)
Xiaojuan Guo, Beijing Normal Univ. (China)

Published in SPIE Proceedings Vol. 9038:
Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging
Robert C. Molthen; John B. Weaver, Editor(s)

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