How to use MNIPediatricAsym with XCP-D?

Software Support
1

I processed my data aligning to MNIPediatricAsym (cohort-5) because that was the most appropriate template. However, I now see in the XCP-D docs:

The minimal inputs required to run XCP-D are:

  • A native-space preprocessed T1w or T2w image.
  • A preprocessed BOLD image in MNI152NLin6Asym, MNI152NLin2009cAsym, MNIInfant (nibabies derivatives), or fsLR (CIFTI processing) space.

I did not generate the MNI152 spaces, not realizing XCP-D didn’t include this template. What is the best way to approach this?

Should I work in adult space (i.e. rerun fMRIPREP, which I would prefer to avoid), or can I symlink the MNIPediatric data to MNI152NLin and fake it?

2

In order to make MNIPediatricAsym (or any currently unsupported volumetric template) work, we need high-quality transforms to MNI152NLin6Asym, MNI152NLin2009cAsym, or MNIInfant. I should note that the transforms we have for MNIInfant (e.g., to MNI152NLin6Asym) are low quality, which is one reason we typically run XCP-D on CIFTIs when working with infant data.

If you’re interested in helping, I’d recommend trying to build some solid transforms to the adult spaces and pushing them to TemplateFlow. I believe Mathias Goncalves has been doing similar work with MNIInfant.

1 Like
3

Thanks for the info. In the short term then, I should re-run fMRIPREP with the correct space?

Thanks for the quick reply.