Hi AFNI experts.

I ran a pre-processing pipeline that gives, for task data, stats files for data processed both with and without ANATICOR (-regress_anaticor_fast).

From my understanding ANATICOR uses WM masks to estimate noise coming from e.g. the scanner and coils. It also should reduce white matter clusters (right?).

When running a group analysis using 3dMVM on 36 subjects and looking at an interaction of interest I find that the "non_anaticor" data looks a bit cleaner and less clusters in white matter. Attaching a few prints (top row: anaticor, bottom row: no anaticor). These subjects are alcoholics which means that some of them have less WM and some atrophy. Could this affect the performance of anaticor and discourage us from use it in subjects with atrophy?

As you can see the GM pre-frontal cluster is bigger and stronger without anaticor (bottom row) and the WM clusters (in the cross hair) is only there for anaticor (top row). The insula cluster is only visible in the anaticor data but it is close to WM and you have to lower the threhold a lot to show that cluster in the non_anaticor data. Why would the results be so profoundly different?

So: The results differ a lot between anaticor and none anaticor plus that it is not apparent that anaticor provides the best results. In a group map it even gives more WM clusters at the same threshold.

Thanks for any input!