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>

>
> 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
> Phone Number: 617-724-2358
> Fax: 617-726-7422
>
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>
>
>
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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
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