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_______________________________________________This is from chatgpt, which actually gave a pretty good answer this time
Why ICV is used as a covariate
ICV reflects head/brain size: It is established early in life and remains relatively stable in adulthood.
Controls for global scaling effects: If you’re comparing cortical or subcortical structures across individuals, larger heads naturally tend to have larger absolute volumes. ICV adjustment removes this confound so differences reflect local effects, not just overall size.
Standard practice: ICV is widely used in structural MRI studies for this purpose because it is a stable “baseline” measure.
Why cortex volume is not a good substitute
Not independent: Cortex volume itself is strongly influenced by disease, development, and aging. Using it as a covariate risks removing real biological signal related to the outcome you care about.
Collinearity problems: If your dependent variable is cortical thickness, surface area, or subcortical volume, adjusting for cortex volume introduces statistical dependencies (since they’re not independent measures). This can distort your estimates.
Less stable than ICV: Cortex volume can shrink over time due to atrophy or expand during development, making it unsuitable as a baseline scaling factor.
When might cortex volume be useful?
If your research question is specifically about relative differences among cortical subregions (e.g., “is region X disproportionately reduced relative to total cortex?”). In that case, cortex volume could serve as a denominator or scaling reference, but not a general-purpose covariate.
Even then, most researchers would report both absolute and relative measures, with ICV adjustment kept separate.
On 9/18/2025 5:55 PM, Alan Francis wrote:
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Hi Freesurfer group:
I have been using ICV as a covariate in all my analyses. Can CORTEX VOLUME be a better measure of covariance? If not, why?
Thanks,
Alan
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Dr. Alan N. Francis
Assistant Professor of NeuroscienceDirector: Neuroimaging & Neuromodulation Research LabInstitute of NeuroscienceUniversity of Texas, School of MedicineRio Grande Valley, Texas.
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