Hi Alfonso,

I hope you're doing well. I would like to use CONN's ART output, in particular, the number of outlying volumes for each subject, as an exclusion criterion. While it is straightforward to make use of that information within CONN, I would also like to use it with other neuroimaging software such as BrainVoyager to cross-validate my results.

To ensure that the cross-platform analyses are valid, I tried to match the preprocessing pipelines implemented in CONN and BrainVoyager:
1) functional slice-timing correction
2) functional realignment & unwarp
3) functional coregistration to structural
4) structural segmentation & normalization
5) functional normalization
6) functional outlier detection (ART-based)
7) functional smoothing

My concerns are: Is it fine to use the ART output from this preprocessing pipeline in other software given the same order of preprocessing steps (albeit different algorithms for interpolation and others)? Generally, to what extent of preprocessing of functional data (i.e., after slice-timing correction, after realignment or after both) be used as input for the ART-based functional outlier detection?

I would greatly appreciate your advice.

Thank you!

Best,
Darren