Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.
Background: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).Methods: We applied a Support Vector Machine (SVM)...
| Published in: | Journal of Neuroimaging Vol. 25; no. 5; pp. 738 - 748 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Published: |
Wiley-Blackwell
Sep2015
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| Online Access: | View this record in EBSCOhost |