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Can a Single Brain Region Predict a Disorder?
2012
IEEE Transactions on Medical Imaging
We perform prediction of diverse disorders (Cocaine Use, Schizophrenia and Alzheimer's disease) in unseen subjects from brain fMRI. First, we show that for multi-subject prediction of simple cognitive states (e.g. motor vs. calculation and reading), voxels-as-features methods produce clusters that are similar for different leave-one-subject-out folds; while for group classification (e.g. cocaine addicted vs. control subjects), voxels are scattered and less stable. Therefore, we chose to use a
doi:10.1109/tmi.2012.2206047
pmid:22752119
fatcat:fyukb36xefhmpgy5ihew5xqwne