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We propose a method for retrieving similar fMRI statistical images given a query fMRI image and a database of such images. Our method creates a feature vector for each spatially distinct region within each such image in the database. The similarity between two images is obtained by the summed minimum distance (SMD) of their constituent feature vectors. Results on a dataset of fMRI statistical images from experiments involving three distinct cognitive tasks suggest that this method is able to capture the differences in activation patterns due to differences in the cognitive tasks performed.

A similarity retrieval method for functional magnetic resonance imaging (fMRI) statistical maps