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

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