Multimodal analysis of functional and structural disconnection in A lzheimer's disease using multiple kernel SVM
Abstract
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying white matter tracts. Machine learning algorithms are able to automatically detect the patterns of the disease in image data, and therefore, constitute a suitable basis for automated image diagnostic...
Paper Details
Title
Multimodal analysis of functional and structural disconnection in A lzheimer's disease using multiple kernel SVM
Published Date
Feb 9, 2015
Journal
Volume
36
Issue
6
Pages
2118 - 2131
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