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Thank you, Douglas!
Kind regards,
Olga

> On Sep 13, 2022, at 3:41 PM, Douglas N. Greve <dgr...@mgh.harvard.edu> wrote:
> 
> Once you have the vertex number, you can get the MNI coordinate through some 
> combination of operations shown on this page
> https://secure-web.cisco.com/1AMLX7FQQXCeAZwrhk6bLLv0EQxgK-Ds-appWhDX7MO7oFDpkHrcAthdt6FRiOVvze-ZyYLBDKS8vMpuCQEcpRFXspnR2A6tA2B-iYHQXqWvNzYLqNmHTkNnzyfXBetbFS1phkMn_wtOS8T-uRutznm7qV41e1PuT4R92jln2NscpCg8mfaxUV7haygQZDwokS-b8gSB0jTnHt1V0bGtlDulIAMHdmdzCKhIx8nisrmRlXboY5f44Psxnl2VTg0-Vyb97r0R0GTSSqoDEOWerG3uvB1gYPQoiHP16hQqTOfnLfNE9718fBBuIroJ7PjMh/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FCoordinateSystems
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> Getting the minimum vertex is a little trickier. I would probably load the 
> thickness into matlab, eg, 
> thickness = MRIread('lh.thickness.mgz'); % you can convert it to mgz with 
> mri_convert lh.thickness lh.thickness.mgz
> Then load in the annot, eg,
> [vertices label ctab] = read_annotation('lh.aparc.annot')
> Then finding the minimum vertex in your ROI
> 
> On 9/12/2022 12:52 PM, Olga Kepinska wrote:
>>         External Email - Use Caution        
>> 
>> Dear Experts,
>> I am looking for a way to extract information on the location (xyz 
>> coordinates in MNI space) of a vertex with the lowest thickness value within 
>> an ROI (label) for a group of subjects.
>> I have previously ran recon-all and qcache on the data.
>> 
>> Any insights will be welcome!
>> 
>> Thank you in advance and kind regards,
>> Olga Kepinska
>> 
>> 
>> 
>> 
>> --
>> Olga Kepinska, PhD
>> 
>> she/her
>> Postdoctoral Researcher
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