Hi FSL experts,

I am trying to run a third-level analysis using the "Single-Group Average with Additional Covariate" as explained on the FSL GLM wiki on my 4D COPE image. My Design matrix looks like this:

where EV1 is to represent the group mean activation and EV2 - EV8 are 7 covariates that I have already demeaned. 

The contrast matrix looks like this:

where I am to get brain areas that linearly correlate each behavioral measure with BOLD activation. 

Here is a copy of my randomise command:

randomise -i cope1_merged.nii.gz -o "covariates_" -d covariate2.mat -t covariate2.con -m avg152T1_gray_thr_bin.nii.gz -n 5000 -T

The problem is that the resultant tfce_corrp images have so much significance. Also, the range of the tstat images are huge (millions!). I know something must not be right here. Also, i tried the other option of not demeaning my data and then using "-D" option in randomise. This resulted in values of 0.00 for every tfce_corrp image.

I would very much appreciate any help with this!

Thanks,

-Ricky