Dear Nilearn Developers and Users,

Our group want to conduct statistics after a representational similarity analysis within subjects. Each subject has 2 conditions, and each condition has 1,000 maps of correlation values. These maps were generated by resampling the data within each subject in a given condition. We want to compare these 2 conditions, and we also want to test whether the correlation maps with each condition are significantly different from zero. We planned to use “nilearn.mass_univariate.permuted_ols”, but we don’t fully understand how it works and whether we can use it in the context of our experiment as described above. Finally, does the algorithm produce a map of p values that is corrected for multiple comparisons across voxels?

Any help would be appreciated.