Hi, there,
I want to know how the FS GCA atlas looks like, is there a way to load the FS
GCA Atlas and view it using tkmedit or matlab?
Is it possible to replace FS Atlas with our own Atlas and use it for analysis?
Thanks a lot!
Guang
Hi Dr. Moore:
I met the same error reported as you posted when I used qdec in our
system. Have you already resolved this probelm ?
If you have the solution to resolve it, please give me some clues.
Thanks
Zonglei Zhen
2009/7/14 Dana W. Moore dwm2...@med.cornell.edu
Hi everyone,
I am
Hi FS folks
I was trying to use the load_segstats function to read aseg.stats and
wmparc.stats
It works well will these files but I get the following error if I try to
read lh.aparc.stats or rh.aparc.stats
[segname segindex segstats] = load_segstats('lh.aparc.stats','bert');
??? Subscripted
The Laboratory of Functional Neuroscience at the Department of Physiology,
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white matter integrity markers of healthy and pathological
you can load it in tkmedit from the file menu and probe it one voxel at a
time, or you can use
mri_convert atlas.gca#0 means.mgz
and
mri_convert atlas.gca#1 priors.mgz labels.mgz
to look at the most likely label and it's mean
cheers,
Bruce
On Thu, 29 Oct 2009, Guang Zeng
wrote:
Hi,
Hi Evert,
one thing you can try if the patterns of loss are stereotyped is to take 10
or 20 subjects or so and correct them by adding control points, then use
mri_compute_bias to compute the common component of the bias field. You can
then apply that to the other subjects in your study with
Hi Zonglei,
The problem was related to the fact that I was accessing another
computer remotely to run FreeSurfer, and I needed something to
support the graphics. I assume you are also accessing a remote
computer? I was using Exceed, which was working fine for tkmedit and
tksurfer, but for
Hello,
I am noticing a warning message with mri_glmfit (no voxels in AR1
computation):
Fit completed in 0.06015 minutes
Computing spatial AR1 in volume.
fMRIspatialAR1(): hit 0 voxels
WARNING: no voxels in AR1 computation
Residual: ar1mn = (nan,nan,nan) fwhm = (nan,nan,nan) nan
Writing results
I can't tell from your description what you did. Can you be more
specific? Did you use DODS or DOSS? Did you demean the ages?
doug
mmoay...@uhnres.utoronto.ca wrote:
Hi everyone,
I was hoping you can clarify something for me.
I'm comparing two groups using CTA (in freesurfer). When I set
Mehul Sampat wrote:
Hi FS folks,
I have a basic GLM question. I went through the tutorials online but I
was not sure and wanted to check with someone.
I am trying to compare the cortical thickness between a group of
patients (n = 166) and controls (n = 76).
For patients mean age is
That program is for loading seg stats, ie, anything created by
mri_segstats, which creates aseg.stats. Unfortunately, it does not
create ?h.parc.stats. We don't have a program to read that in.
doug
Mehul Sampat wrote:
Hi FS folks
I was trying to use the load_segstats function to read
It looks like the input is a surface and not a volume, but mri_glmfit
does not know this, so it interprets it as a volume, and so the neighbor
relations need to compute the spatial AR1 are messed up. Try running it
with --surf subject hemi, eg, --surf fsaverage lh
doug
muet0...@umn.edu wrote:
Hi,
I'm trying to run the command: recon-all -subjid subname -autorecon1. I'm
getting the an error message during skull stripping and the error log reads
as follows:
#...@# Skull Stripping Wed Oct 28 12:29:47 PDT 2009
/space/raid7/data/london/data/
Hello all,
I was curious as to whether it is preferable to use the wm hypointensities
output from wmparc.stats or from aseg.stats or if there is no real difference.
Also, I believe I've seen this answered elsewhere, but just to be clear, is it
the case that there is currently no way to
Use the ones in aseg.stats. When you load aseg.mgz into tkmedit, the
hypo intensities show up as segmentations.
Dankner, Nathan (NIH/NIMH) [F] wrote:
Hello all,
I was curious as to whether it is preferable to use the wm hypointensities
output from wmparc.stats or from aseg.stats or if there
Thanks Doug,
I have two follow-up questions.
1. I am using QDEC and my discrete variables are: (a) TYPE
(PATIENTS/CONTROLS) and (b) GENDER
I include age as a continous co-variate and then select all of the variable
before running the design.
I believe QDEC is generating the various possible
Hi,
As explained in the paper, the radius of the sphere correspond to the
region of interest in which you analyze gyrification: if you take
25mm, you will measure all the amount of cortical surface enclosed in
a 25 mm radius from each of the cortical point (that is the default).
You can
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invites applications for multiple postdoctoral research scholar positions under
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