Improvements to BOLD surface projection algorithm via filtering poor timeseries #2822
Description
What would you like to see added in fMRIPrep?
fMRIPrep currently uses freesurfer's ribbon-based approach for BOLD surface projection. This approach works well but does not take into account partial voluming for voxels that may include non-BOLD signals (e.g. from outside the brain, inside white matter, etc.).
An approach to doing so could leverage the timeseries data to identify "outlier" voxels that should be excluded from the projection -- this is the approach adopted by HCP and ABCD pipelines -- empirically, we've found that local tests using such an approach improves the projections by reducing aliasing along the troughs/peaks of sulci/gyri.
We have a prototype of this working, our team can work on a pull request to fmriprep that will add the feature.
Do you have any interest in helping implement the feature?
Yes
Additional information / screenshots
No response