Custom confounds in xcpd

Thank you for your kind reply. Version rc3 successfully solved this problem.

I try to denoise the dataset with the AROMA strategy. The document shows that fMRIPrep removed AROMA support in 23.1.0. In order to use the aroma or aroma_gsr strategies, please run fMRIPost-AROMA on your fMRIPrep outputs before running XCP-D. You will need to supply the AROMA derivatives dataset to XCP-D via the --datasets parameter (i.e., --datasets aroma=/path/to/fmripost-aroma/dset).

However, this post Does fMRIPost-AROMA replace xcp_d for ICA-aroma denoising? suggests that XCP-D can’t use regressors from fMRIPost-AROMA.

Can XCP-D (version:rc3) and fMRIPost-AROMA (version:main) do this now?