Dear CONN experts,

I'd like to know why one would want to copy task-related conditions to first level covariates.
Aren't these regressed out during the temporal preprocessing (denoising) anyway?
The original CONN paper (2012) suggests these effects are indeed removed in the Denoising step. It appears so since the conditions are imported as confounds with the name 'Effect of...'. I guess this is done to obtain "resting state" task-independent FC measures, as in Fair et al (2007).
However in the CONN User Manual states that, in order to achieve this, the conditions must be copied to the 1st level covariate list. Is this correct?
This is confusing. In a nutshell, what is the purpose of this 1st level covariate list, other than to provide regressors not to be HRF-convolved (like in SPM)?
On the other hand, is the HRF-free regression used to remove task effects or just HRF convolved conditions?
Looking forward any comment on this.

Pedro