Hi Doug, In order to run surface based analysis on PET maps, I used the following steps: 1. Co-registering SUVR to T1 bbregister --s name --mov suvr.nii --bold --init-fsl --reg reg.dat --o suvr_T1.mgh
2. Concatenate SUVR maps mris_preproc --target fsaverage --hemi lh --iv subject1/suvr/suvr_T1.mgh subject1/suvr/reg.dat --iv subject2/suvr/suvr_T1.mgh subject2/suvr/reg.dat --iv ... --projfrac 0.5 --out lh.suvr.mgh
3. Smoothing(sm) mri_surf2surf --hemi lh --s fsaverage --fwhm 10 --cortex --sval lh.suvr.mgh --tval lh.suvr.sm10.mgh
4.Group analysis (GLM) mri_glmfit--y lh.suvr.sm10.mgh --fsgd fsgd.txt --C X.mtx --surf fsaverage lh --cortex --glmdir lh.suvr
5. Correction for multiple comparisons ( Cluster -wise) mri_glmfit-sim --glmdir lh.suvr --cache 1.3 neg --cwp 0.05 --2spaces # Cache 1.3 ( P<0.05)
* In a second analysis for the same set of data, I replaced the first step ( co registration) by the following command line: spmregister --s name --mov suvr.nii --reg reg.dat --o suvr_T1.mgh
I got the results as attached ( figure1 using bbregister and figure 2 using SPM register)
Kindly,
1. Where this difference came from? In other words, should I expect such like difference between "bbregister" and "spmregister" ?
2. For co registration which command do you recommend "bbregister" or "spmregister" ?
Best, Mohamad
