I'm also interested in looking at MSSD variability through 3D+T images but was wondering if I could do so after 3dDeconvolve via afni_proc.py as I'd like to preprocess the data in a similar fashion to resting state data such as the afni_proc.py example #9b using anaticor.
I'm interested in the mean variability during different blocks, but am curious as to whether using "3dcalc with Daniel's method on a -fitts 3d+T dataset would be appropriate?