Unlike fMRIPost-AROMA or fMRIPost-tedana, this pipeline is going to require both the raw BIDS dataset (for the phase data) and the fMRIPrep derivatives dataset (for the transforms and preprocessed magnitude data).
One thing that I think might be tough will be linking preprocessed magnitude data to the original phase data. Hopefully it's just a matter of BIDSLayout.get_nearest using the preprocessed magnitude file, while explicitly dropping any derivatives-only entities, but I'm not optimistic.
Unlike fMRIPost-AROMA or fMRIPost-tedana, this pipeline is going to require both the raw BIDS dataset (for the phase data) and the fMRIPrep derivatives dataset (for the transforms and preprocessed magnitude data).
One thing that I think might be tough will be linking preprocessed magnitude data to the original phase data. Hopefully it's just a matter of
BIDSLayout.get_nearest
using the preprocessed magnitude file, while explicitly dropping any derivatives-only entities, but I'm not optimistic.