Hello,

I would like to run a context-dependent correlation analysis on one experimental condition only. Since I do not think that there is modulation between seed and baseline, I created a 1D file where I coded the time points of condition of interest with 1's and all other time points with 0's.

I then ran the 1deval and the subsequent waver step described on [afni.nimh.nih.gov]

When I came to the regression analysis and entered the Seed and the waver output to the inital regression model. However, in my initial regression model, the condition in question was already a regressor, which then produces strong collinearity with adding the SEED and waver output.

So if I would like to run a connectivity analysis for one condition only, do I need to take off the initial condition predictor from the regression model?

Thank you very much for your help,
Jana