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, shahin@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.
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