Hi Bruce,
thanks for the first response. I tried to find some information on the webpage
about xform, but failed. So what is xform standing for and where/how can I
check it?
As in the later processing stages I want to do localization and DCM-Modeling
with my data, I guess the correct
Hi Daniel,
Usually when I get the FindFacePath error, the wm.mgz is very bad. You can
try placing control points on the wm and rerun -autorecon2 and
-autorecon3. That worked for me.
-Khoa
On Sat, 10 Sep 2011, Daniel Ferreira Padilla wrote:
Dear Bruce and experts,
I would really
Hi everyone,
I'm using a frozen version of FS v4.0 and I have a subject with rather
large ventricles that don't get filled properly (surfaces and aseg are
off) during recon. I can't really find a good fix in previous messages
besides to upgrade FS, since it seems like the newer versions will
Hi Andrew,
you can fill them in the aseg.mgz with tkmedit if you want. The newer
versions do better with large ventricles, but if they are big enough we
may still mislabel some of it.
cheers
Bruce
On Tue, 13 Sep
2011, Andrew Dumas wrote:
Hi everyone,
I'm using a frozen version of FS v4.0
Hi Maria
you can use tkregister2 to check the accuracy of the talairach.xfm
transform (xform for short), and correct it if you want.
cheers
Bruce
On Tue, 13 Sep 2011, Maria Felber wrote:
Hi Bruce,
thanks for the first response. I tried to find some information on the
webpage about xform,
Hi Bruce,
so we are back at the beginning. After I ran recon-all -all, I did exactly that
and checked the xform using tkregister2. And here I always see that my
talairach volume (the transform) is always smaller, which can be very well seen
as the orig surfaces of the subjects are always a
Hi all,
In qdec, is there a way to convert a cluster to an ROI without
manually drawing the ROI? I'm talking about selecting clusters on the
mc-z maps.
Thanks,
Nasim
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Hi all,
I figured it out. This is easily doable using TkSurfer.
Thanks,
Nasim
On Sep 13, 2011, at 12:37 PM, Nasim Maleki wrote:
Hi all,
In qdec, is there a way to convert a cluster to an ROI without
manually drawing the ROI? I'm talking about selecting clusters on the
mc-z maps.
Thanks,
Hi all,
Does anyone have experience running a longitudinal analysis in version 5.0,
using .mgz files generated from the last version of freesurfer? My
understanding is that the only major differences between the previous and
current versions were in the longitudinal stream. Any input would be
no, there are other differences as well.
Bruce
On Tue, 13 Sep 2011, Erica Griffith
wrote:
Hi all,
Does anyone have experience running a longitudinal analysis in version 5.0,
using .mgz files generated from the last version of freesurfer? My
understanding is that the only major differences
Alright, thanks. Would you recommend against using the new longitudinal
stream with data generated from a previous version though? That is my main
question.
On Tue, Sep 13, 2011 at 4:17 PM, Bruce Fischl fis...@nmr.mgh.harvard.eduwrote:
no, there are other differences as well.
Bruce
On Tue,
Hi Erica,
I'm not sure what you mean. Why not just run it through all the way? And
we would *strongly* recommend using the 5.1 longitudinal instead of 5.0
cheers
Bruce
On
Tue, 13 Sep 2011, Erica Griffith wrote:
Alright, thanks. Would you recommend against using the new longitudinal
stream
Hi Bruce,
We are working with a cohort of several hundred subjects, and all of the
data has already been processed using the last version of FS. It would take
quite a while for us to go through all of that data again, so we're trying
to figure out if it would be okay to go ahead and use the
its ok to use just the longitudinal stream of 5.1 with your existing data.
that is, you dont need to rerun the cross-sectional part of the
three-stage longitudinal process, just -base stage and then the -long
stage.
n.
Hi Bruce,
We are working with a cohort of several hundred subjects, and
I have a tricky situation where we can't use symbolic links ( cifs/smb
mounts ) and it doesn't make sense to copy the fsaverage to the
SUBJECTS_DIR. The subjects_dir is actually a separate directory for
every subject when trying to run things through the connectome toolkit.
I've edited my
I am trying to figure out how to cluster some data on the cortical
surface; however, I've run into a few issues:
(1) I can't seem to find a description or examples for running
mri_mcsim and mri_glmfit-sim won't work because I'm not using FSFAST
to create my statistical maps.
(2) A previous email
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