That looks right, though mri_segstats might want a summary file. If  so 
, just added --sum junk

doug

liang wang wrote:
> Dear Doug,
>
> Thanks. According to your suggestions, I would extract fmri time 
> course from an individual paracellation with subcortical regions (e.g. 
> caudate, thalamus...). Would you like to help me to make sure whether 
> the following commands are correct. Here the filtered_fun_data.nii.gz 
> did not be smoothed. Thanks a lot.
>
> reg-feat2anat --feat SUBID/bold.feat --subject SUBID
> aseg2feat --feat SUBID/bold.feat --aseg aparcs+aseg
> mri_segstats --seg SUBID/bold.feat/reg/
> freesurfer/aparc.a2009s+aseg.nii.gz --in filtered_fun_data.nii.gz 
> -avgwf file.dat
>
> Liang
> 2010/7/19 Douglas N Greve <gr...@nmr.mgh.harvard.edu 
> <mailto:gr...@nmr.mgh.harvard.edu>>
>
>     mapping the time courses to the average subject does not solve
>     this problem, it just hides it. I'm not sure why this would be of
>     a concern anyway. There might be a tiny difference in the expected
>     variance for each subject, but, unless the region is very small,
>     the differences won't amount for much.
>
>     doug
>
>     liang wang wrote:
>
>         Dear Doug,
>
>         Thanks for your comments. However, I am worried about the
>         different number of voxels within each parcellation between
>         subjects, if extracting fmri time course from individual
>         parcellation result.
>
>         Also, I am using the following combined commands to carry out
>         the steps. Do you think it's correct?
>         reg-feat2anat --feat SUBID/bold.feat --subject SUBID
>         aseg2feat --feat SUBID/bold.feat --aseg aparcs+aseg
>         mri_segstats --seg
>         SUBID/bold.feat/reg/freesurfer/aparc.a2009s+aseg.nii.gz --in
>         filtered_fun_data.nii.gz -avgwf file.dat
>
>         Thanks,
>         Liang
>
>         2010/7/18 Doug Greve <gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>
>         <mailto:gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>>>
>
>
>
>            definitely use the individuals. Use mri_vol2surf to convert
>         the motion
>            corrected (and otherwise unsmoothed) fmri time courses to the
>            surface. Then use mri_segstats with the  --avgwf and
>         --annot options
>            to compute the mean time course over the parcellations.
>
>            doug
>
>
>
>
>            On Sat, 17 Jul 2010, liang wang wrote:
>
>                Hi,
>
>                Does anyone know one of studies which uses the
>         parcellations
>                (aparc or
>                aparc.a2009s) Freesurfer provides to extract fMRI time
>         course
>                from each
>                subject's fMRI data. Reading the instructions in Freesurfer
>                Wiki, I know how
>                to do that. However, I am not sure whether I should use the
>                parcellations
>                from the average output (obtained from
>         make_average_subject),
>                or the
>                parcellations based on each subject. I would next compute
>                functional
>                connectivity between these regions. I am appreciated
>         for any
>                suggestions.
>
>                Liang
>
>
>
>            --     Douglas N. Greve, Ph.D.
>            MGH-NMR Center
>            gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>
>         <mailto:gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>>
>
>            Phone Number: 617-724-2358
>            Fax: 617-726-7422
>
>            Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>         <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>            <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>
>            FileDrop:
>         www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>         <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html>
>            <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html>
>
>
>
>
>            The information in this e-mail is intended only for the
>         person to
>            whom it is
>            addressed. If you believe this e-mail was sent to you in
>         error and
>            the e-mail
>            contains patient information, please contact the Partners
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>
>
>         -- 
>         Liang Wang, PhD
>         Postdoctoral Fellow
>         Woodward Lab
>         Department of Psychiatry
>         University of British Columbia
>         BC Mental Health & Addiction Services
>         938 West 28th Avenue
>         Vancouver BC V5Z 4H4
>         Telephone: 1-604-875-2000 (ext. 4735)
>         Fax: 1-604-875-3871
>         Email: wangl...@gmail.com <mailto:wangl...@gmail.com>
>         <mailto:wangl...@gmail.com <mailto:wangl...@gmail.com>>
>         
> ------------------------------------------------------------------------
>
>         _______________________________________________
>         Freesurfer mailing list
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>         <mailto:Freesurfer@nmr.mgh.harvard.edu>
>         https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
>
>     -- 
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
>     gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
>     Phone Number: 617-724-2358 Fax: 617-726-7422
>
>     Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>     <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>     FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>     <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html>
>
>
>
>
> -- 
> Liang Wang, PhD
> Postdoctoral Fellow
> Woodward Lab
> Department of Psychiatry
> University of British Columbia
> BC Mental Health & Addiction Services
> 938 West 28th Avenue
> Vancouver BC V5Z 4H4
> Telephone: 1-604-875-2000 (ext. 4735)
> Fax: 1-604-875-3871
> Email: wangl...@gmail.com <mailto:wangl...@gmail.com>

-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html

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