Hi Ali,

It should work with the old processed data.

--Thomas

On Sun, Sep 20, 2015 at 12:00 AM, Ali Radaideh <ali.radai...@hu.edu.jo> wrote:
> Dear Thomas,
>
> Many thanks for your detailed explanation. I will try it and let you know.
>
> One more question please, last year, I processed another set of subjects
> using an older version of FreeSurfer 5.0. Now the old version has been
> replaced with its new one (5.3.0) on the same PC. In other words, my PC has
> the new version of freesurfer 5.3.0 and two sets of processed T1 images. One
> set was processed using the old version of freesurfer which is no longer
> there. The other set was processed using the new version. So, can I
> transform the network atlases to the set of subjects spaces processed last
> year using the old version of freesurfe 5.0.0r? or or I have to re-run the
> recon-all again?
>
> Many thanks in advance and my apology for keeping you busy with my
> questions.
>
> Ali
>
>
> On Sat, Sep 19, 2015 at 3:14 PM, Thomas Yeo <ytho...@csail.mit.edu> wrote:
>>
>> Hi Ali,
>>
>> Sorry, I wasn't clear. The 7 and 17 network atlases are released with
>> FreeSurfer 5.3. In particular, the "annot" files are found in
>> $FREESURFER_HOME/subjects/fsaverage/label/. Therefore since you have
>> already run recon-all using FreeSurfer, then this means that you do
>> not need to "save" the new atlas anywhere.
>>
>> The 7 and 17 network atlases are in fsaverage space. You can run the
>> following commands to transform the atlases to your individual
>> subjects' surfaces. Suppose your subject is called 100306_QD95CU_FS
>> and the recon-all of this subject is located in
>> /share/users/imganalysis/yeolab/data/GSP/.
>>
>> 1) The first step is to set the variable SUBJECTS_DIR to point to
>> where your subject is:
>>
>> >> setenv SUBJECTS_DIR /share/users/imganalysis/yeolab/data/GSP/
>>
>> 2) The second step is to create a symbolic link so that the FreeSurfer
>> "fsaverage" subject appears to be in your SUBJECTS_DIR
>>
>> >> ln -s $FREESURFER_HOME/subjects/fsaverage/ $SUBJECTS_DIR/fsaverage
>>
>> 3) The final step is to run mri_surf2surf to transform the 7 network
>> atlas to your subject's native surfaces.
>>
>> >> mri_surf2surf --srcsubject fsaverage --trgsubject 100306_QD95CU_FS
>> >> --hemi lh --sval-annot
>> >> $FREESURFER_HOME/subjects/fsaverage/label/lh.Yeo2011_7Networks_N1000.annot
>> >> --tval 
>> >> $SUBJECTS_DIR/100306_QD95CU_FS/label/lh.Yeo2011_7Networks_N1000.annot
>>
>> Note that the above is only for the left hemisphere. You can replace
>> all the "lh" with "rh" to transform the right hemisphere instead.
>>
>> Note that the above is for the 7 networks. You can replace all the "7"
>> with "17" to transform the 17-network atlas instead.
>>
>> I hope the above is clearer. Let me know if you have other questions.
>>
>> --Thomas
>>
>> On Sat, Sep 19, 2015 at 4:16 PM, Ali Radaideh <ali.radai...@hu.edu.jo>
>> wrote:
>> > Also, could you please direct me in which directory I should save the
>> > new
>> > atlas?
>> >
>> > Thanks,
>> > Ali
>> >
>> > On Sat, Sep 19, 2015 at 9:47 AM, Thomas Yeo <ytho...@csail.mit.edu>
>> > wrote:
>> >>
>> >> Hi Ali,
>> >>
>> >> May I confirm that your data is T1 and not functional data? Here's
>> >> what you can do to transfer the parcellation to your individual
>> >> subject's surface mesh. After that you can use the usual commands to
>> >> extract thickness, etc.
>> >>
>> >> In your shell (assuming you are using c shell)
>> >>
>> >> # First set variable s to be subject id
>> >> >> set s = 100306_QD95CU_FS
>> >>
>> >> # set freesurfer environmental variable SUBJECTS_DIR to point to where
>> >> the data is
>> >> >> setenv SUBJECTS_DIR /share/users/imganalysis/yeolab/data/GSP/
>> >>
>> >> # use symbolic link so fsaverage "appears" to be in SUBJECTS_DIR
>> >> >> ln -s $FREESURFER_HOME/subjects/fsaverage/ $SUBJECTS_DIR/fsaverage
>> >>
>> >> # use "-sval-annot" option to transfer annotation
>> >> >> 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
>> >>
>> >> # use "sval" option to transfer confidence map.
>> >> >> mri_surf2surf --srcsubject fsaverage --trgsubject $s --hemi lh
>> >> >> --sval
>> >> >>
>> >> >> $FREESURFER_HOME/subjects/fsaverage/label/lh.Yeo2011_7NetworksConfidence_N1000.mgz
>> >> >> --tval
>> >> >> $SUBJECTS_DIR/$s/label/lh.Yeo2011_7NetworksConfidence_N1000.mgz
>> >>
>> >> Cheers,
>> >> Thomas
>> >>
>> >> On Sat, Sep 19, 2015 at 3:12 PM, Ali Radaideh <ali.radai...@hu.edu.jo>
>> >> wrote:
>> >> > Dear FreeSurfer experts,
>> >> >
>> >> > I have finished processing a group of brains MR images collected at
>> >> > 7T
>> >> > scanner using freesurfer 5.3.0 (Ubuntu 64 bits machine).
>> >> >
>> >> > However, we need to get the cortical parcellation based on functional
>> >> > network connectivity. So I have downloaded the Atlas data
>> >> > (Yeo_JNeurophysiol11_FreeSurfer) to use it for the parcellation but I
>> >> > have
>> >> > few questions which I hope you will be able to help me on.
>> >> >
>> >> > 1- Do I need to repeat the "recon-all" process?
>> >> > 2- If yes, how can I change the default Atlas that freesurfer uses?
>> >> > 3- If no, what can I do to get the cortical parcellation based on
>> >> > finctional
>> >> > networks from our processed data?
>> >> > 4- At the end, shall I use the usual commands to extract the volumes,
>> >> > thicknesses ...etc?
>> >> >
>> >> >
>> >> > Many thanks for your help in advance.
>> >> >
>> >> > Ali
>> >> >
>> >> >
>> >> > --
>> >> > Ali M. Al-Radaideh. PhD
>> >> > Head of Department of Medical Imaging
>> >> > Vice Dean of the Faculty of Allied Health Sciences
>> >> > The Hashemite University,
>> >> > Zarqa, Jordan
>> >> > W.phone +962 5 3903333 ext.5422, 5355, 5364
>> >> > Email: ali.radai...@hu.edu.jo
>> >> > webpage: http://staff.hu.edu.jo/Default.aspx?id=ABZUPDzYeqM=
>> >> >
>> >> >
>> >> > _______________________________________________
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>> >
>> >
>> > --
>> > Ali M. Al-Radaideh. PhD
>> > Head of Department of Medical Imaging
>> > Vice Dean of the Faculty of Allied Health Sciences
>> > The Hashemite University,
>> > Zarqa, Jordan
>> > W.phone +962 5 3903333 ext.5422, 5355, 5364
>> > Email: ali.radai...@hu.edu.jo
>> > webpage: http://staff.hu.edu.jo/Default.aspx?id=ABZUPDzYeqM=
>> >
>> >
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>
>
>
> --
> Ali M. Al-Radaideh. PhD
> Head of Department of Medical Imaging
> Vice Dean of the Faculty of Allied Health Sciences
> The Hashemite University,
> Zarqa, Jordan
> W.phone +962 5 3903333 ext.5422, 5355, 5364
> Email: ali.radai...@hu.edu.jo
> webpage: http://staff.hu.edu.jo/Default.aspx?id=ABZUPDzYeqM=
>
>
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