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Lecture Notes in Computer Science
Most fMRI studies use voxel-wise statistics to carry out intrasubject as well as inter-subject analysis. We show that statistics derived from voxel-wise comparisons are likely to be noisy and error prone, especially for inter-subject comparisons. In this paper we propose a novel metric called weighted cluster coverage to compare two activation maps. This metric is based on the intersection of spatially contiguous clusters of activations. It is found to be more robust than voxel-wise comparisonsdoi:10.1007/978-3-642-04268-3_125 fatcat:4f5ijlokqzb2jboisdyucrqs3i