Hi,
I try to use the command "recon-all" with my CT and SPECT images, like my IRM,
but I have this error message:
talaraich failure detection: ERROR talarach_afd: talarach transform ...
thanks
marie
___
Freesu
I'd like to make a correction on my statement below. FDR is not biased
by having dependence in the data (though it may make it more variable).
Thanks to Mike Harms and Tom Nichols for pointing this out.
doug
Douglas Greve wrote:
> Hi Petra, if the data are independent, then large amounts of smo
Hi Qi Zhu, sorry for the delay (always a good idea to just repost if a
few days go by). To answer your question, yes you can do a FFx analysis
that way, ie, average the gamma and gammavar across the ROI, then
t=gamma/sqrt(gammavar) and use the DOF from the dof.dat file in the
mri_glmfit output
That would be the same as specifying highres.nii.gz as the intermediate
registration (--int to bbregister). Is this what you tried?
doug
Cris Lanting wrote:
> Dear all,
> dear Doug,
>
>
>> If you have a partial FOV, then it
>> will probably fail. You can test this by running bbregister outsi
Hi Jonathan,
sorry, missed your mail completely.
Anyway, in 5.1 there will be tools to do all this automatically for you
(also for more than 2 time points). Everything below is only for 2 time
points.
Also about your questions:
Something is wrong with you data, you should have the ?h.shpere.reg
Hi,
Sorry for posting again. I just want to get the average ces and cesvar
values across subjects (fixed effect) for a specific ROI, and then run
some statistics on them. Can I just average the gamma and gammavar
that in the osgm folder after I ran the voxel-based ffx group analysis
in my group da
Which version of freesurfer are you running? At one point, reg-feat2anat
was dependent on the feat registration, but "now" it is not. I don't
know whether you fall into the "now" category. If you have a partial
FOV, then it will probably fail. You can test this by running
bbregister outside of
Dear all,
I'm having a slight problem with reg-feat2anat to transform functional
data (FSL) to anatomical (Freesurfer) in that the resulting
transformation seems completely wrong.
What I've done so far is the following:
1) run FEAT including the normal FEAT registration (which I know fails
due to
Hi Petra, if the data are independent, then large amounts of
smoothing does not affect the validity of the statistics (it helps
cluster-wise correction). If the data are not independent, then the
problem is that the voxel-wise p-values will be inaccurate (causing
cluster
As Michael says, with spm8 you have to use nifti. When 4.5 was written,
spm8 was not around (or not used much), so this was never a problem. One
way you can get around it is to modify your copy of spmregister (in
$FREESURFER_HOME/bin). There is a line in there that indicates the
format to use
Hello Freesurfers,
I have a little problem using a tcl script with tksurfer.
I want to load the pial surface to a cuted patch. So I used the
following comandline:
tksurfer fsaverage lh inflated -patch testpatch -tcl test.tcl
test.tcl include the following lines:
set gaLinkedVars(vertexset) 3
Hi Bruce,
> thanks for your answer. In fact, I wrote:
> -recon-all -i home/pmod/Bureau/freesurfer/subjects/Marie/image(n).nii -subjid
> image(n)
> in order to analyse my images. I created folders for each patient, but when I
> try to open these (tkmedit) I can't recover ... I have new folders
Hi Bruce,
> thanks for your answer. In fact, I wrote:
> -recon-all -i home/pmod/Bureau/freesurfer/subjects/Marie/image(n).nii -subjid
> image(n)
> in order to analyse my images. I created folders for each patient, but when I
> try to open these (tkmedit) I can't recover ... I have new folders
Hi Marie
what is the error? And what do you want to do with the PET and SPECCT
images? You would only give recon-all the anatomical (T-weighted) images.
The others you would probably want to register with bbregister.
cheers
Bruce
On Mon, 28 Mar 2011, Marie ERESUE wrote:
>
> Hi,
> I'd like to
Hi,
This is probably a question for Doug Greve,
Which is to most preferably correction for multiple comparisons when
investigating surface based cortical thickness changes between groups in
smoothed data. Furthermore subjects between groups are related in other words
not independent from each
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