Hi all
I have a ROI label on left hemisphere - I need to map this ROI onto right
hemisphere to get a homologous region (for testing hemispheric differences).
What is the best way for doing this?
Cheers
Lena
--
Lena Palaniyappan
Clinical Lecturer & Honorary StR | Division of Psychiatry ( Univers
Thank you !
I successfully projected the pial surface normals in the volume. Now
I wanted to project the normals in the inner gm boundary voxels (i.e.
gm boundary voxels with wm). What I tried is scaling up the wm
surface by
mris_convert -s 1.01 lh.white lh.white101
and then projected
Can you drop 1.3.12.2.1107.5.2.7.20409.300703080442501872322.dcm
to me at the file drop below?
doug
Myriam Siefert wrote:
> Hi everybody,
>
> We're doing a structural VBM bicentric cross cultural study, using
> Freesurfer v5.0.0. on 2 computers :
> FREESURFER_HOME: /Applications/freesur
Hi everybody,
We're doing a structural VBM bicentric cross cultural study, using
Freesurfer v5.0.0. on 2 computers :
FREESURFER_HOME: /Applications/freesurfer
Build stamp: freesurfer-Darwin-leopard-i686-stable-pub-v5.0.0
Kernel info: Darwin 9.8.0 i386
FREESURFER_HOME: /home/scnlab/Desktop/
freesu
Helo Bruce, I've tryed these options you said and still not working, I must say
that is not in all my subjects,
I've tryed both brain.mgz and brainmask.mgz.
The commands I've used are:
A1) mri_vol2vol --mov brain.mgz --targ rawavg.mgz --out brain2raw.mgz
--regheader
A2) mri_mask flag -keep
Hi Alex, you can compute the difference in those slopes using an
appropriate contrast matrix passed to mri_glmfit. QDEC should do so
autotmatically (this would be an interaction between group and age).
doug
Alex Hanganu wrote:
> Dear Freesurfer Experts,
>
> We have two groups at similar ages and
QDEC can do analyses with as many as two discrete variables (two levels
each) and two continuous variables. More general analyses are possible
with the mri_glmfit command-line. If data are not normally distributed,
then you can use our permutation program (not available in QDEC but
possible in
Hi Gabriel,
for mri_glmfit, W = diag(sqrt(1./yffxvar)), ie, it is a diagonal matrix
where each element is the square root of the inverse of the variance
from the lower level. This changes the equation from a simple ordinary
least squares into a weighted least squares (though not quite a true
Hi Gabriel,
did you convert the brain.mgz so it is in the same space as the
rawavg.mgz using either mri_convert -rl or mri_vol2vol? If so, you can try
mri_mask -t . The default is 1e-10 so pretty much anything
non-zero is dept. Try changing it to 2 (voxels edited to be turned off are
1).
chee
Hello Nick
I'm wondering if you're able to verify my data today,
I did try using brainmask.mgz to mask the rawavg.mgz, and didn't worked,
I'm guessing you'll need my data, to see if there is something wrong on it, but
I think is gonna be hard to send it to through the e-mail.
Bests,
Gabriel.
Dear Freesurfer Experts,
We have
two groups at similar ages and the thickness-age correlation shows
many cluster of significant values. Pointing to this maximum the
plots present similar regressions coefficients for both groups. Actually
it would be intresting to have the regions were the thic
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