nilearn.decoding.Searchlight, I successfully performed a searchlight analysis on each subject. For each subject I now have their accuracy maps. Ultimately I am hoping to show some sort of group-level analysis, in particular a group cluster-corrected stat map (e.g., t values) produced from each subject’s (smoothed) accuracy map in order to locate decoding hot spots at the group level.
What is the best way to go about this procedure after obtaining the maps from
Searchlight? I notice that using
3dClustSim requires a smoothness estimate based on residual images, which I don’t have from
Searchlight. Conversely, I’m totally lost in FSL documentation and it’s unclear to me how to run a basic cluster correction with it (using what I’m guessing involves
cluster?). Are there any other alternatives that are easy to use with accuracy maps (or a group-level t/z image)?