Hi Annie,

mri_surf2surf is complaining that it cannot write out the annotation.

Just to clarify, is your subject called test_run_allindex? In other
words, is the variable s equal to test_run_allindex?

Does the directory "/home/annie/test_run_allindex/label/" exist? If
not, then you first need to create the directory first, and then
mri_surf2surf can write the resulting annotation file into the
directory.

Cheers,
Thomas

On Tue, May 12, 2015 at 5:46 PM, 陳昱潔 <poohann1...@gmail.com> wrote:
> Hi Professor Yeo :
>
>    We tried the code
>>> mri_surf2surf --srcsubject fsaverage --trgsubject $s --hemi lh
>>> --sval-annot
>>>
>>> $FREESURFER_HOME/subjects/fsaverage/label/lh.Yeo2011_7Networks_N1000.annot
>>> --tval $SUBJECTS_DIR/$s/label/lh.Yeo2011_7Networks_N1000.annot
> However there came an error of "could not write annot file
> /home/annie/test_run_allindex/label/lh.Yeo2011_7Networks_N1000.annot
> No such file or directory"
> And we checked our individual subject's label there isn't
> lh.Yeo2011_7Networks_N1000.annot
> Should we generate/import the lh.Yeo2011_7Networks_N1000.annot into our
> subjects/label first?
> What can we do ?
> Thank you very much!
>
> Best wishes,
> Annie
>
>
> 2015-05-05 8:36 GMT-04:00 Thomas Yeo <ytho...@csail.mit.edu>:
>
>> Hi Annie,
>>
>> Please cc the freesurfer list when you reply because there might be
>> other people more qualified to answer your question.
>>
>> Based on what you are saying, I think you can first use mri_surf2surf
>> (with the "sval-annot" flag) to transform the 2011 functional networks
>> .annot file from fsaverage space to the subject's native surface
>> space. Type "mri_surf2surf --help" to see examples.
>>
>> You can then use mris_anatomical_stats to compute thickness statistics.
>>
>> Cheers,
>> Thomas
>>
>> On Tue, May 5, 2015 at 3:21 PM, 陳昱潔 <poohann1...@gmail.com> wrote:
>> > Dear Pro. Yeo:
>> >
>> >  Very appreciate for your reply !
>> >
>> > We are trying to use your definition of the functional network regions
>> > to
>> > re-parcellate our images
>> > and get the regions of volume or cortical thickness for our study
>> > interest
>> > of structural network.
>> > However, we did not want to re-run the first recon-all again due to it's
>> > spending to much time.
>> > And we are still can't find the way to solve this problem.
>> > Thank you very much for helping us!
>> >
>> > Best wishes,
>> > Annie Chen
>> >
>> > 2015-05-02 8:25 GMT+08:00 Thomas Yeo <ytho...@csail.mit.edu>:
>> >>
>> >> Hi Yu-Chieh,
>> >>
>> >> I am cc-ing the freesurfer list who may help you with your issues.
>> >>
>> >> Can you explain what exactly you are trying do? The parcellation is
>> >> released in different resolutions including fsaverage5. Why can't you
>> >> just use the fsaverage5 parcellation?
>> >>
>> >> Cheers,
>> >> Thomas
>> >>
>> >> On Fri, May 1, 2015 at 6:14 PM, 陳昱潔 <poohann1...@gmail.com> wrote:
>> >> > Dear professor Yeo :
>> >> >
>> >> >    My name is Yu-chieh Chen , I am a graduated student from National
>> >> > Taiwan
>> >> > University of medical school, and my supervisor is professor Susan
>> >> > Shur-Fen
>> >> > Gau from department of psychiatry, National Taiwan University
>> >> > Hospital &
>> >> > College of Medicine. We are very interesting about your paper
>> >> > published
>> >> > in
>> >> > 2011 which using resting MRI to separate brain regions to functional
>> >> > networks. We'd like to use your percellation to re-separate the brain
>> >> > regions based on your released data in Freesurfer(
>> >> > http://ftp.nmr.mgh.harvard.edu/fswiki/CorticalParcellation_Yeo2011).
>> >> > And
>> >> > use
>> >> > these volume of brain regions for our study, however, there comes the
>> >> > problem that we assumed that we can change the fsaverage into
>> >> > fsaverage5,
>> >> > thus we may get the new volume of the parcellation_Yeo. But it is not
>> >> > work.
>> >> > So I send this email for help. Last , I am very appreciate your
>> >> > kindness
>> >> > and
>> >> > very sorry for my inappropriate and rough.
>> >> > Thank you very much for read this email and sorry for occupied your
>> >> > time.
>> >> >
>> >> > Best wishes,
>> >> > Yu-chieh Chen
>> >> >
>> >
>> >
>
>

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