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3rd IEEE International Symposium on Biomedical Imaging: Macro to Nano, 2006.

DOI: 10.1109/isbi.2006.1625073

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Robust statistics for nonparametric group analysis in fMRI

This paper is available in a repository.
This paper is available in a repository.

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Abstract

In order to deal with inhomogeneous groups of subjects in fMRI studies, we investigate several robust statistics to perform random-effect analysis on the mean population effect (sign statistic, Wilcoxon's signed rank statistic and empirical t statistic). The tests' significance levels are calibrated using the same sign permutation framework, allowing for exact specificity control under a mild symmetry assumption about the subjects' distribution. The benefit of the robust approach is illustrated on a speech listening experiment involving three month-old infants