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July 15, 2021 10:47AM
Hi Pawel,

Sorry for missing this.

You seem to understand correctly.

In your first example (-mask_import), the mask is assumed to be in the final registration space. And with -regress_ROI, it will regress out the average time series over that ROI. That is a single regressor applied to all voxels.

For the second example, instead of using the single regressor, each voxel gets is own regressor: the Gaussian-weighted average of the white matter, weighted by distance to the given voxel. Since the example uses -mask_import, the mask is still assumed to be in the final voxel space (and on the final EPI grid).

The third example uses -anat_follower*, which implies the mask is aligned with the INPUT anatomical dataset (passed via -copy_anat). The mask will be eroded and transformed to the final space in the same way that the original anat is transformed. After that, the anaticor_fast method will be applied to generate a regressor for each voxel as in the previous example.

So yes, if in the third example the WM_anat_mask is already in the final space, that would not be appropriate. If that is the case, start with -mask_import.

- rick
Subject Author Posted

regressing out WM in afni_proc.py

Pawel June 14, 2021 06:34PM

Re: regressing out WM in afni_proc.py

rick reynolds July 15, 2021 10:47AM

Re: regressing out WM in afni_proc.py

Pawel July 15, 2021 10:52AM



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