Hi AFNI experts,

I am performing a voxel-wise correlation between values of activation beta and a behavioral measurement.

I usually do this with 3dfim++, which gives a sub-dataset of "Correlation". For visualization of this result, I put the "Correlation" as the threshold control (Thr), then I can move the slide bar up and down to see correlation maps at different p threshold.

Now, I am performing the same voxel-wise correlation with 3dDeconvolve -rout; because some of the behavioral measures are missing for some subjects and I am handling this situation by using the -CENSOR option. However, the output is R^2 now instead of a regular correlation coef (R). For visualization, the R^2 can also be used for thresholding in this case, but I am wondering if the p value based on R^2 is equivalent to that as if I had used 3dfim's "Correlation". If not, how should I convert the p of R^2 to match the p of R. Should I simply take the squre root and use that for thresholding?