Testing for difference between two groups of functional neuroimaging experiments

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    Abstract

    We describe a meta-analytic method that tests for the difference between two groups of functional neuroimaging experiments. We use kernel density estimation in three-dimensional brain space to convert points representing focal brain activations into a voxel-based representation. We find the maximum in the subtraction between two probability densities and compare its value against a resampling distribution obtained by permuting the labels of the two groups. As such it appears as a general method for comparing the local intensity of two non-stationary spatial point processes. The method is applied on data from thermal pain studies where "hot pain" and "cold pain" form the two groups.
    Original languageEnglish
    Title of host publicationDen 13. Danske Konference i Mønstergenkendelse og Billedanalyse
    PublisherDepartment of Computer Science, University of Copenhagen (DIKU)
    Publication date2004
    Publication statusPublished - 2004

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