Hi Wen,

Brain volume has a good relationship with the overall surface area measured in native space (so, irrespective to any kind of interpolation). We found an R^2 of 0.856, which is higher even than the correlation of brain volume with gray matter volume as measured via VBM-like methods.

However, even if the relationship between these measurements were poor, include brain volume as a covariate hardly hurts the model, unless you have only few degrees of freedom (say, a tiny number of subjects).

Another thing, and perhaps better, is to consider using global surface area instead of brain volume as a covariate for a study of surface area, to remove global and focus only on local effects.

All the best,

Anderson



2013/6/24 wen.zhang55 <wen.zhang55@gmail.com>
Dear Freesurfer,

I have checked the mail list, none could answer my problem.
I added up the value of all vertxes in the .area or .area.pial files, find that brain size did not contribute much to that vertex-sum. However, some experiment used total brain volume as a regreesion coefficient to remove brain size effect. In these case, with the comparison of surface area in vertex-to-vertex, is it proper to use the above vertex-sum as the regression coefficient to remove different brain size?
Thank you very much!

Cowen

2013-06-24



wen.zhang55

_______________________________________________
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.