Usage of `NiBetaSeries` without `fMRIPrep` outputs

[PeerHerholz]

Is your feature request related to a problem? Please describe. While I'm a huge fan and in support of fMRIPrep, there are reasons not to use it. Working with a few datasets that unfortunately fell under this category, I was wondering howe NiBetaSeries could also be utilized without fMRIPrep outputs.

Describe the solution you'd like I think a support for a myriad preprocessing pipelines is not possible and feasible. However, maybe 1 or 2 could be added (as long as they comply with BIDS).

Describe alternatives you've considered More realistically, the docs could contain a respective primer and/or example that utilizes NiBetaSeries with a preprocessing pipeline other than fMRIPrep. Maybe something along the lines of the tutorial.

How do folks think about this?

[jdkent]

I am very open to making nibetaseries more adaptable to other preprocessing pipelines, NiBetaSeries is not dependent on fmriprep per se, but it is the the one I know most about. As long as the preprocessing pipeline fulfills the current state of the bids-derivatives specification, nibetaseries should be able to accommodate.

Is there a preprocessing pipeline you can share some example outputs for (and/or a link to the pipeline code) so we can develop a tutorial/tests to make sure it works?

[PeerHerholz]

Thx for the fast response @jdkent! You're of course right in that NiBetaSeries should also work with other preprocessing pipelines given the requirements you mentioned. I was more referring to the arguments that are rather fMRIPrep specific (e.g. confounds, etc.).

Re preprocessing pipelines: we could check the nipype examples, now living in niflows. However, they are not compliant with the derivatives specifications, hence would create a bit of work us (basically changing the datasink of the examples). One that is compliant would be fmriflows (disclaimer: I'm helping out in that project.). Both could be applied to the same dataset as used in the tutorial.