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Dear FreeSurfer experts,

My goal is to morph fMRI (data in voxel space) for best possible intersubject GM-overlap. I am using mri_cvs_register as it seemed like a perfect tool for this.

I have already run recon-all on the anatomical scan (160x239x200 voxels at 1x1x1mm) as well as mri_cvs_register --mov [anatomical] --mni.

The resulting normalized brain (final_CVSmorphed_tocvs_avg35_inMNI152_norm.mgz) looks pretty good, maybe except for a remaining piece of skull, which does not seem to have impaired the brain data, though.

Functional data has been ST-corrected, realigned and coregistered to the anatomical data in SPM.

Unfortunately, when I try to morph the fMRI images using

mri_vol2vol --mov [PreprocessedFunctional.nii] --o [MorphedPreprocessedFunctional.nii] --m3z cvs/final_CVSmorph_tocvs_avg35_inMNI152.m3z --noDefM3zPath --targ cvs/final_CVSmorphed_tocvs_avg35_inMNI152_norm.mgz

I end up with a strangely distorted, cropped and ill-oriented image. The file size and resolution is also enormous.

First of all, do you have any suggestions on what could have gone wrong? Is there a better way than using mri_cvs_register  to normalize fMRI data so gyri and sulci between subjects match?

Since I do not need such high resolution for smoothing and analysis, is there a better way than just down-sampling after the morph?

Please excuse if any of these questions seem to have obvious answers to you, I am rather new to using FreeSurfer.

I have already searched the mailing list archive and did not find a solution to my problem but only a slightly related problem from 2013 (https://www.mail-archive.com/freesurfer@nmr.mgh.harvard.edu/msg30673.html)
In the solution it was also hinted that morphing fMRI data might be further supported in the future. Is there a tool or function which has been developed since then?

I appreciate your advice!

Thank you very much!

Kind regards

Peter Sperrer