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A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis

Published 29 Sep 2016 in stat.ML, cs.CV, and q-bio.NC | (1609.09432v1)

Abstract: There is a growing interest in joint multi-subject fMRI analysis. The challenge of such analysis comes from inherent anatomical and functional variability across subjects. One approach to resolving this is a shared response factor model. This assumes a shared and time synchronized stimulus across subjects. Such a model can often identify shared information, but it may not be able to pinpoint with high resolution the spatial location of this information. In this work, we examine a searchlight based shared response model to identify shared information in small contiguous regions (searchlights) across the whole brain. Validation using classification tasks demonstrates that we can pinpoint informative local regions.

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