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

Volume: 25, Issue: 5, Pages: 738 - 747
Published: Jan 28, 2015
Abstract
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) classifier to DTI and volumetric magnetic resonance imaging data from 35 amyloid‐β42 negative MCI subjects (MCI‐Aβ42 − ), 35 positive MCI subjects...
Paper Details
Title
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
Published Date
Jan 28, 2015
Volume
25
Issue
5
Pages
738 - 747
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