Hi Doug -

Using the overlay threshold flags, I see that the .mgh (yes, the .mg was a cut/paste typo) is in the occipital region and should be frontal, temporal and parietal regions.  So, I must be doing something wrong in the mri_vol2surf command:

> mri_vol2surf --src $SUBJECTS_DIR/[subj]/label/LECN_subjXXX.nii --out $SUBJECTS_DIR/[subj]/label/LECN_subjXXX_lh_surf.mgh --srcreg $SUBJECTS_DIR/[subj]/mri/transforms/reg.mni152.2.dat --hemi lh
Plus - as the original ROI encompasses regions in both hemispheres (i.e., the left executive network has a region in the right cerebellum), I thought I would need to repeat this command with --hemi rh?  

I assumed I would have to run mris_aatomical_stats on each hemisphere -- after I have labels for the ROI for each hemisphere?

Thanks,
Barbara




The vol2surf command output 
should be .mgh or .mgz, not .mg (or maybe that is just a typo in the 
email). If it is, then you should load the mgh file as an overlay, not 
as a surface, eg

tksurfer [subj] lh inflated -overlay file.mgh -fminmax .5 1000

setting the min threshold to .5 assures that you can see the ROI

doug


On 03/13/2014 05:10 PM, Barbara Weiland wrote:
Hi -

Sorry to not have been clearer.

I have /functional ROIs defined by the Greicius 
lab// (http://findlab.stanford.edu/functional_ROIs.html) just as in 
this post to the Freesurfer list from //Mon Dec 2 15:22:08 EST 2013:/
/
/
Doug, Thank you for your very helpful suggestion. Indeed, doing so 
made it so I could quickly take any parts (or all) of each Greicius 
network and put them in individual subject space. In case this may 
help anyone else, the final series of commands were (in this case, 
for the whole anterior salience network): *mni152reg --s [subj]* 
mri_label2vol *--seg anterior_Salience.nii.gz \* --reg 
$SUBJECTS_DIR/[subj]/mri/transforms/reg.mni152.2mm.dat \ --invertmtx 
--o anterior_Salience_[subj].nii.gz \ --temp 
$SUBJECTS_DIR/[subj]/mri/orig.mgz Cheers, Paul

These ROIs were originally in MNI space and I used the commands listed 
above from Paul to move them to subject space first creating the 
reg.mni152.2mm.dat for each subject.  LECN….nii is one of these 
network ROIs.  I can see this ROI using free view and it looks 
correct.  What I want is to extract volume and thickness for this ROI. 
As outlined below,I thought I needed to first convert this to a 
surface and tried:

mri_vol2surf --src $SUBJECTS_DIR/[subj]/label/LECN_subjXXX.nii --out 
$SUBJECTS_DIR/[subj]/label/LECN_subjXXX_lh_surf.mg --srcreg 
$SUBJECTS_DIR/[subj]/mri/transforms/reg.mni152.2.dat --hemi lh


I tried to look at the output (LECN_subjXXX_lh_surf.mg) by using 
tksurfer [subj] lh inflated and then load the it from the GUI onto the 
inflated surface -- this says that the 
file (LECN_subjXXX_lh_surf.mg) "has 0 vertices!
Probably trying to use a scalar data file as a surface!"

Do I need to move the  LECN….nii to be a surface or should I just be 
able to make a label from it? I assumed I need the ROI information to 
be a label to use mris_anatomical_stats?
Thank you,
BarbaraBarbara Weiland, Ph.D.
Research Asst. Professor
CU Change Lab
Dept. of Psychology & Neuroscience
University of Colorado Boulder
barbara.weiland@colorado.edu