I think you would need to figure out what such a combination would look  like. Eg, you could have a separate label for each possible combination contrasts above threshold, though this would create a combinatorial explosion.

On 11/29/2017 02:48 PM, Nguyen, Tin wrote:

Hello,

I have been running different analyses through QDEC GUI for different covariates that describe a similar construct, for instance:

·Model A: (cortical thickness) ~ (covariate 1) + (nuisance factors)

·Model B: (cortical thickness) ~ (covariate 2) + (nuisance factors)

·Model C: (cortical thickness) ~ (covariate 3) + (nuisance factors)

·Model D: (cortical thickness) ~ (covariate 4) + (nuisance factors)

·Model E: (cortical thickness) ~ (covariate 5) + (nuisance factors)

As a result, I have 5 different brain images to illustrate each of the 5 models for their corresponding covariates. Is there way to overlay all 5 of the images onto a common space to have 1 representative brain image? This is to show overlapping effects, or the lack thereof, of the covariates.

Thank you.

-Tin

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