I usually just divide the volume by the eTIV (you can do this in asegstats2table with the --etiv flag). Some people will use it as a nuisance regressor in the GLM

On 7/27/2022 3:11 PM, Bouchra Guelib wrote:

        External Email - Use Caution


---------- Forwarded message ---------
De : *Bouchra Guelib* <bouchra.gue...@univ-constantine2.dz>
Date: mer. 27 juil. 2022 à 19:28
Subject: eTIV
To: <freesurfer-ow...@nmr.mgh.harvard.edu>


I hope you can help me with this  point
I extracted the measures in 'aseg.stats', 'lh.aparc.stats',and 'rh.aparc.stats'. Now I want to use these measures as input data for my model. However, I read that we need to normalize this data using eTIV. Can you tell me how?

--
*GUELIB Bouchra: *Ph.D. student
*Lire *Laboratory
University: Constantine 2-Abdelhamid Mehri- *Algeria *
Alternative email: guelibbouc...@gmail.com**





_______________________________________________
Freesurfer mailing list
Freesurfer@nmr.mgh.harvard.edu
https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
_______________________________________________
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 Mass General Brigham 
Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline 
<https://www.massgeneralbrigham.org/complianceline> .
Please note that this e-mail is not secure (encrypted).  If you do not wish to 
continue communication over unencrypted e-mail, please notify the sender of 
this message immediately.  Continuing to send or respond to e-mail after 
receiving this message means you understand and accept this risk and wish to 
continue to communicate over unencrypted e-mail. 

Reply via email to