Hi Jan,

Is the functional image already coregistered to the T1? If you have a 
registration file, you could try:

mri_vol2vol --mov fstcmc.nii.gz --reg registrationfile --tal --talres 2 --o 
fstcmc.mni305.2mm.nii.gz

.. to bring the functional image to MNI305. Are you planning to your restrict 
your analysis (assuming it is a voxelwise analysis?) to the subcortical 
regions? You could use the subcort.mask.mgz in fsaverage/mri.2mm as as mask in 
your mri_glmfit.

I will leave it to Doug to confirm if those steps are suitable for your 
objectives.

Best Wishes,
Elijah 


Dr. Elijah Mak, Research Associate
Department of Psychiatry
Old Age Psychiatry Group | Cambridge Intellectual & Developmental Disabilities 
Research Group
University of Cambridge
Trinity College, CB21TQ, UK
http://www.neuroscience.cam.ac.uk/directory/profile.php?fkm24


> On 12 Oct 2017, at 16:14, Jan Willem Koten <jan.ko...@gmx.de> wrote:
> 
> Normalize to mni
>  
> Dear Doug,
>  
> We have a very simple question. In a first step we segmented brains using the 
> recon all command. Our functional pipeline created a „fstcmc.nii.gz“ file. We 
> would like to do some subcortical analysis and need to perfrorm this in MNI 
> 305 space. We also need the subcortical labels for the actual analysis 
> itself. Does someone know the trick? In short how do we get from 
> fstcmc.nii.gz“ to subcortical functional ROI's?
>  
> Greetings Jan
> Jan Willem Koten (van Grevenbicht)
> 
> Zollernstrasse 57, 52070 Aachen, Germany
> Telephone: (0049) (0)241 212 44
>  
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