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A Unified Framework for Personalized Regions Selection and Functional Relation Modeling for Early MCI Identification
2021
NeuroImage
Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely adopted to investigate functional abnormalities in brain diseases. Rs-fMRI data is unsupervised in nature because the psychological and neurological labels are coarse-grained, and no accurate region-wise label is provided along with the complex co-activities of multiple regions. To the best of our knowledge, most studies regarding univariate group analysis or multivariate pattern recognition for brain disease
doi:10.1016/j.neuroimage.2021.118048
pmid:33878379
fatcat:djdqfurbxfc4nmdk3ghefiwwum