I am having a bit of a hard time figuring out the best option to convert surface labels to mni volume masks.

For my ROI FS analysis, I divided the fsaverage S1 and M1 labels into 5 sub-labels using mris_divide_parcellation. I then used mri_label2label to map those labels to each of my subjects to study differences in thickness among 2 groups.

I am now trying to map those same labels from fsaverage to mni space in order to use them as ROI for resting-state connectivity analysis in the conn toolbox pipeline. From reading The Mail Archive I have come across multiple pieces of advice on how one might go about doing this. These range from a) using mri_label2vol and mri_vol2vol; b) creating a new annotation file for fsaverage from the labels and using mri_aparc2aseg and then mri_vol2vol; to c) running mni152 through recon-all.

As you can probably tell by now, I am a bit confused about the most efficient and accurate way to accomplish this.