Thank you very much! :)
Best Wishes,
Elijah
On 31 July 2017 at 15:37:38, Douglas Greve (gr...@nmr.mgh.harvard.edu) wrote:
yes, mean across space. for vertex wise, you'll probably have to go into
matlab, something like
mask = MRIread('mask.mgh');
imask = find(mask.vol == 1);
cc = MRIread('co
yes, mean across space. for vertex wise, you'll probably have to go into
matlab, something like
mask = MRIread('mask.mgh');
imask = find(mask.vol == 1);
cc = MRIread('concat.mgh');
ccmat = fast_vol2mat(cc);
cc_in_mask = ccmat(:,imask);
On 7/31/17 10:25 AM, Elijah Mak wrote:
Hi Doug,
Than
Hi Doug,
Thanks!
mri_segstats —i concat.mgh --seg mask.mgh --avgwf data
1) concat.mgh is the stack of individual surfaces in fsaverage space
2) mask.mgh is the binarised mask from the sig.mgh
3) --avgwf to produce the 2 columns of data (inside and outside)
The values from the --avgwf represen
You can use mri_segstats with either the --sum option (for an input with
one time point) or --avgwf (for multiple). Pass your mask with --seg. By
default it will give you both outside the mask (first column) and inside
the mask (second column).
On 7/28/17 10:44 AM, Elijah Mak wrote:
Hi Frees
Hi Freesurfer Team,
I have previously used mri_binarize to derive the mask.mgh from the sig.mgh
after a first-level group comparison of cortical thickness. Now, I would like
to extract the vertex data from from another modality surface within and
outside the mask in individual subjects. Is ther
