Prediction of conversion from mild cognitive impairment to Alzheimer’s disease using MRI and structural network features

Prediction of conversion from mild cognitive impairment to Alzheimer’s disease using MRI and structural network features

Optimized magnetic resonance imaging (MRI) features and abnormalities of brain network architectures may allow earlier detection and accurate prediction of the progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD). In this study, we proposed a classification framework to disti...

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Bibliographic Details
Main Authors: Rizhen eWei, Chuhan eLi, Noa eFogelson, Ling eLi
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-04-01
Series:Frontiers in Aging Neuroscience
Subjects:
Mild Cognitive Impairment
MRI
prediction
Early detection
Structural network
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnagi.2016.00076/full

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