M / EEG-based Biomarkers to predict the Mild Cognitive Impairment and Alzheimer ' s disease : A Review from the Machine Learning Perspective

The MEG modality may be particularly effective in distinguishing between subjects with MCI and healthy controls, a high classification accuracy of more than 98% was reported recently; whereas the EEG seems to be performing well in classifying AD and healthy subjects, which also reached around 98% of the accuracy.