Transforming an MNI-space sgACC ROI (Julich-Brain parcel / coordinate) into individual native space ? - best practices

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Hi all,

I want to define a sgACC seed in each subject’s native space (rather than analysing in MNI) for a sgACC connectivity study, to reduce normalisation error in this small ventral region.

My seed is a Julich-Brain subgenual parcel (areas 25 / s24 / s32 / 33) in MNI152NLin2009cAsym, accessed via siibra. I have the inverse MNI→native transform from my pipeline (fMRIPrep).

Questions:

  1. To warp the parcel, is antsApplyTransforms -n MultiLabel the right choice, or should I use NearestNeighbor?

  2. Should I threshold the probability map before warping, or warp the maximum-probability map directly?

  3. Any QC tips for such a small ROI (overlay, dropout check)?

Thanks!

julichbrain #nativespace