> you would test masking out voxels that have any of those large betas? (I.e. great than [+/-2]?

There are more principled ways to handle outliers, but censoring them is more economical and straightforward.

> Wouldn't adding back in censored stimuli potentially add spurious correlations due to widespread sensitivity
> of correlations across voxels to motion? Is the point just to see whether that gets rid of the large betas, but not
> necessarily to analyze the final data in this way?

I'm not aware of any systematic exploration about this. Censoring due to head motion adjustment, as I mentioned, is likely just one of the possible sources of rendering outlying betas. It would be quite an undertaking to explore this small project. If you can afford it, you can just remove those beta outliers when computing correlations among regions.

Also, Paul raises a potential concern and suggests that scaling should be always performed because of brightness inhomogeneity across voxels within an ROI.

Gang



Edited 1 time(s). Last edit at 09/09/2020 11:38AM by Gang.