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> Dear freesurfer developers,
>
> I’m attempting to analyze my resting -state fMRI data, and I followed
> procedures on your functional connectivity page. When I tried to run
> preprocessing with my data, but it turns out that default mri_coreg did not
> register my fMRI template volume onto anatomical scan well. So, I went on
> to register fMRI to anatomical space on my own using bbregister with
> (init-rr method - rigid transformation). I re-ran preprocessing without
> registration (-noreg) to correct motion and slice-timing. My commands
> looked like below:
> #bbregister —mov fMRI_template_volume —bold —s subject —init-rr —lta
> functional2anatomical.lta
> #preproc-sess -s sess01 -fsd rest -stc siemens -noreg -surface fsaverage
> lhrh -surf-fwhm 5 -mni305-2mm -vol-fwhm 0 -per-run -force
>
> Then, I configured seeds (ex. Hippocampus), and ran following commands:
> #fcseed-config -segid 17  -fcname left_hippocampus.dat -fsd rest -mean
> -cfg left_hippocampus.config
> #fcseed-sess -s sess01 -cfg left_hippocampus.config
>
> It did run smoothly, but what I noticed from fcseed-sess script was it was
> transforming anatomical aseg mask into functional space. I am confused on
> this part, because during processing step, we only make registration file
> for transformation from functional space to anatomical space, but
> fcseed-sess command needs registration file that moves anatomical scan to
> functional scan.
>
> # Convert segmentation to native functional space (##from fcseed-sess 
> script##)
>
>       set cmd = (mri_label2vol --seg $seganat \
>
>          --reg $reg --temp $template --fillthresh $FillThresh \
>
>          --o $seg --pvf $pvf);
>
>       echo $cmd | tee -a $LLF
>
>
> Then, Later, during mkanalysis-sess step, the command seems to use functional 
> 2 anatomical transformation. Could you please clarify which registration file 
> it uses to process each step that I talked about above? Do I also need to 
> make anatomical to functional transformation registration?
>
>
> I deeply appreciate your help.
>
>
> Sincerely,
>
> Wenzhen
>
>
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