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I would like to follow the documentation, however I need all 45 subcortical
regions which I can't get them using mri_gtmpvc
Le ven. 24 juin 2022 à 15:32, Douglas N. Greve a
écrit :
> This is not the workflow that we support. Follow the workflow in
You are using a development build from 20190911. Why? Please replicate
with one of the officially released versions of FS. We do not recommend
using development versions expcept in very special cases.
On 6/24/2022 10:33 AM, 김다운 wrote:
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this is my
Sorry, I thought I sent an email responding to this. Try running it with
-run-wise. This will analyze each run separately. I can't remember
whether it generates a final combined average (been a long time since I
used this option), but run it and see what it does.
On 6/23/2022 2:00 PM, Caspar
Can you send the recon-all.log file?
On 6/21/2022 6:44 AM, 김다운 wrote:
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Hello FreeSurfer Develops,
I'm attempting to run recon-all on two single subject with T1.
However, I got the following error message for subject respectively:
This is not the workflow that we support. Follow the workflow in the
petsurfer documentation is you want assistance.
On 6/21/2022 4:40 AM, Bouchra Guelib wrote:
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Hi,
I want to register PET to T1 MRI using FSL dof12
then I want to extract the SUV.
I would
On 6/20/2022 3:42 PM, Julian Macoveanu wrote:
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>
> Dear Freesurfers,
>
> I have a simple design with patients and controls and would like to
> find regions showing group differences in cortical volume and
> thickness. I also remove the effect of age, sex
On 6/20/2022 3:03 AM, Wittayer, Matthias wrote:
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Hi, thanks for your answer.
Yes I did the longitudinal runs using the base as described in the
manual. So the pipeline is:
1.) Cross sectional Recon all
2.) recon-all -base Template.nii -tp timepoint1.nii
you do not need the white or pial surfaces, just the orig.nofix.
On 6/19/2022 5:17 PM, Wang, Yu wrote:
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Hi freesurfer expects,
I have tried to use this way to solve the problem, but it did not
work because I don’t have the files like lh.pial. But I
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Dear Freesurfers,
I have a simple design with patients and controls and would like to
find regions showing group differences in cortical volume and
thickness. I also remove the effect of age, sex and ICV. Running the
GLM group analysis by the book I
