Hi,
I am using mris_average_curvature to create an average thickness map across subjects (registered to fsaverage).
The command line I am running is:
mris_average_curvature lh.thickness lh sphere.reg subj01 subj02 .... subj20 outputfile
This produces the average, but my question is if there a way to also create a measure of variability at the vertex level from that group, e.g. the associated variance or standard deviation?
Thanks, Thomas
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Hi Thomas,
you can specify -s <condition #> to generate means and variances, but I'm pretty sure Doug has something more up-to-date to do this.
cheers Bruce On Thu, 6 Jan 2011, Thesen, Thomas wrote:
Hi,
I am using mris_average_curvature to create an average thickness map across subjects (registered to fsaverage).
The command line I am running is:
mris_average_curvature lh.thickness lh sphere.reg subj01 subj02 .... subj20 outputfile
This produces the average, but my question is if there a way to also create a measure of variability at the vertex level from that group, e.g. the associated variance or standard deviation?
Thanks, Thomas
</PRE>
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Try using mris_preproc with "--meas curv". Create a list of your subjects in a text file which you then pass with the --f flag. The output will be all the curvs from your subjects stacked together. You can then use mri_concat with the --mean option to get the mean, or the --std to get the standard dev.
doug
Bruce Fischl wrote:
Hi Thomas,
you can specify -s <condition #> to generate means and variances, but I'm pretty sure Doug has something more up-to-date to do this.
cheers Bruce On Thu, 6 Jan 2011, Thesen, Thomas wrote:
Hi,
I am using mris_average_curvature to create an average thickness map across subjects (registered to fsaverage).
The command line I am running is:
mris_average_curvature lh.thickness lh sphere.reg subj01 subj02 .... subj20 outputfile
This produces the average, but my question is if there a way to also create a measure of variability at the vertex level from that group, e.g. the associated variance or standard deviation?
Thanks, Thomas
</PRE>
<html> <body> ------------------------------------------------------------<br /> This email message, including any attachments, is for the sole use of the intended recipient(s) and may contain information that is proprietary, confidential, and exempt from disclosure under applicable law. Any unauthorized review, use, disclosure, or distribution is prohibited. If you have received this email in error please notify the sender by return email and delete the original message. Please note, the recipient should check this email and any attachments for the presence of viruses. The organization accepts no liability for any damage caused by any virus transmitted by this email.<br /> ================================= </body> </html> <PRE>
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Thesen, Thomas