Try something like
mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.yeo.stats -b -a ../label/lh.yeo.annot -c ../label/yeo.annot.ctab 1040 lh white

Assuming that your yeo atlas is in $SUBJECTS_DIR/$subject/label/lh.yeo.annot



On 7/15/2020 2:05 PM, Martin Juneja wrote:

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Dear Doug,

Thanks for your response !

Yes, I have Yeo atlas in the individual space, and recon-all.log has the following command:

mris_anatomical_stats -th3 -mgz -cortex ../label/lh.cortex.label -f ../stats/lh.aparc.stats -b -a ../label/lh.aparc.annot -c ../label/aparc.annot.ctab 1040 lh white \n
computing statistics for each annotation in ../label/lh.aparc.annot.

Could you please help me in customizing this because it seems it gives me stats for each annotation e.g. stats for 34 areas (for Desikan atlas) and 7 networks (for Yeo 7 network, I think this is averaged over each network, correct?), but I am looking for stats of the regions which constitute those networks (e.g. stats for the areas which are part of the default mode network i.e., 4 individual stats of 4 individual red colored regions in the following figure).

DMN.png

On Wed, Jul 15, 2020 at 8:54 AM Douglas N. Greve <dgreve@mgh.harvard.edu> wrote:
If you have the Yeo atlas in the individual space, you can use mris_anatomical_stats to compute stats the same as in the Desikan atlas. Look in recon-all.log for the command line and customize it as needed



On 7/14/2020 5:00 PM, Martin Juneja wrote:

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Hi experts,

I extracted network-wise cortical measures (i.e., 7 cortical thickness values for 7 networks for Yeo atlas).

I was wondering if there is a way to get the cortical thickness of each ROI within each of these networks e.g., cortical thickness values of all the ROIs which constitute default-mode network of Yeo's 7 network parcellation, and then cortical thickness values of all the ROIs which constitute limbic network of Yeo's 7 network parcellation, and so on.

I know Desikan atlas can be used to get morphometry measures of 34 ROIs per hemisphere. But the problem is that e.g., default-mode ROIs from Desikan atlas do not completely overlap with the DMN of 7-network parcellation from Yeo atlas. In other words, superior frontal cortex from default-mode network of Yeo 7 network parcellation is a big chunk compared to several small ROIs (some partial and some full) in Desikan atlas, so I do not see any way how to find ROIs which just match with that superior frontal cortex of default-mode of Yeo's 7 network.

Any help would be much appreciated ! 

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