Hi Shahin, You could try binarising the Yeo atlas into individual masks for each of the networks. Then, use mri_compute_overlap to quantify the correspondence between your labels and the binarised network segments.
Cheers, Elijah > On 11 Oct 2017, at 18:20, sha...@nmr.mgh.harvard.edu wrote: > > Dear Experts, > We are looking for a way to measure the amount of overlap between each > 'aparc 2009 segment' vs. 'Yeo 7 networks segments'. Currently I can do > that by converting segments to labels and and then measuring the number > of common vertices between them. But I was wondering if there is a more > direct way to do it. > > Regards > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > 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 Compliance HelpLine > at > http://www.partners.org/complianceline . If the e-mail was sent to you in > error > but does not contain patient information, please contact the sender and > properly > dispose of the e-mail. > _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
