Hi Freesurfers,
My processing stream involves moving the parcellated functional networks of
Yeo and Choi to original subject domain to do connectivity analyses. While
my process works very well for the Yeo networks I'm rather unsatisfied by
the results of the Choi translations.
I'm hoping someone has some suggestions for improving things so that the
Choi ROIs map onto individual subjects nearly as well as the general
Freesurfer striatal segmentations.
NB - I work with AD patients, so I'm sure part of the problem is
atrophy-based. However, I'm sure there are ways to improve things...
*My current pipeline involves two steps:*
*mri_vol2vol \*
*--mov Choi2012_17Networks_MNI152_FreeSurferConformed1mm_TightMask.nii.gz \*
*--targ $FSLDIR/data/standard/MNI152_T1_2mm_brain.nii.gz --regheader \*
*--o FSL_choi_17Net_MNI152_tight_parcellation.nii.gz --no-save-reg --interp
nearest*
*mri_label2vol \*
*--seg FSL_choi_17Net_MNI152_tight_parcellation.nii.gz \*
*--reg $SUBJECTS_DIR/{$subj}/mri/transforms/reg.mni152.2mm.dat \*
*--invertmtx \*
*--o Choi_17Network_tight_striatum_orig.nii.gz \*
*--temp $SUBJECTS_DIR/{$subj}/mri/orig.mgz*
I suspect one way to improve things would be to do a recon-all based
procedure, but I have no clue what commands within the recon-all domain
that would involve.
Thanks for your suggestions.
--
Paul Beach
DO/PhD candidate - Year VI
Michigan State University
- College of Osteopathic Medicine
- Neuroscience Program
- MSU *Co*gnitive and *Ge*riatric *N*eurology *T*eam (*CoGeNT*)
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