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Detecting Brain Activation in fMRI Using Group Random Walker
[chapter]
2010
Lecture Notes in Computer Science
Due to the complex noise structure of functional magnetic resonance imaging (fMRI) data, methods that rely on information within a single subject often results in unsatisfactory functional segmentation. We thus propose a new graph-theoretic method, "Group Random Walker" (GRW), that integrates group information in detecting single-subject activation. Specifically, we extend each subject's neighborhood system in such a way that enables the states of both intra-and inter-subject neighbors to be
doi:10.1007/978-3-642-15745-5_41
fatcat:t3liobgsjjfabnezmtmlt5cpsq