Hello NeuroStars Community,
I’m attempting to create a streamlined pipeline for surface-based functional connectivity from DCM to z-score, and I’m hoping for your input. Right now, I’m using fmriprep and xcp_d to go from DCM to pre-processed rs-fMRI data. This has been immensely helpful for creating correlation matrices from rs-fMRI data and standard volumetric & surface atlases.
There are many methods for seed-based functional connectivity (e.g., fsl, freesurfer, and/or xcpEngine) but I have not come across a tool for surface-based function connectivity apart from freesurfer. This is problematic because I would like to keep my files in BIDs format and/or use the CIFTI files from xcp_d that are already in fsLR_den-91k.
Is there a method for surface-based functional connectivity from xcp_d? Is it as simple as creating
a *.dlabel.nii for all the surface ROIs I plan to use in my analysis? Now that I’m thinking about it, this is probably the best method.
What surface-based functional connectivity tools do you use in your analyses and why?
Cheers,
Bram