Hi afni/suma users,
I am trying to applying a cluster size based thresholding to my accuracy maps after MVPA classification (in surface space).
To this end, I am using slow_surf_clustsim.py.
As I did not apply any smoothing to my data, I think that it would be correct to use a blur factor = 0 (that is, no smoothing applied). Do you think this is correct?
From the slow_surf_clustsim function I can not use a blur factor < 4, so I am considering to waive this step directly in the script.
My other question is that, from the function instructions I am not sure if I have to use the flag "-on_surface yes" for my analyses or not.
Finally, the last question is if I can run slow_surf_clustsim.py in the two hemispheres together. My two hemispheres accuracy maps are already merged in one single niml.dset, so I am providing a spec file containing the two hemispheres to run the simulations. Do you think that this is correct?
Thank you!
