Mixed-effect statistics for group analysis in fMRI: A nonparametric maximum likelihood approach

作者：Roche Alexis^*; Meriaux Sebastien; Keller Merlin; Thirion Bertrand

来源：NeuroImage, 2007, 38(3): 501-510.

DOI：10.1016/j.neuroimage.2007.06.043

This technical note describes a collection of test statistics accounting for estimation uncertainties at the within-subject level, that can be used as alternatives to the standard t statistic in one-sample random-effect analyses, i.e. when testing the mean effect of a population. We build such test statistics by estimating the across-subject distribution of the effects using maximum likelihood under a nonparametric mixed-effect model. For inference purposes, the statistics are calibrated using permutation tests to achieve exact false positive control under a symmetry assumption regarding the across-subject distribution. The new tests are implemented in a freely available toolbox for SPM called Distance.

• 出版日期2007-11-15
• 单位中国地震局