Hi Rick,

Unfortunately, I don't have physiological recordings, which I guess would have solved all my problems.

I think I will use the 1dBport and 3dDeconvolve to create the X matrix and use 3dTproject to actually regress out the "bad stuff". That way the QC html page would track DoFs correctly.

On that note, I would like to ask the bandpass filter question again:
I have a dataset with a TR=2.2sec with 320 TRs. I would like to avoid bandpass filtration if possible. But, we have had real problems with reviewers in the past when we don't bandpass filter, especially with resting-state. The "loss of DoF" argument gets trumped by the "physiological noise and high frequency noise" argument. Are there any papers which talk about the negatives of bandpass filtration with respect to the DoF argument, that I can use to defend my decision not to bandpass? Or is there a way that I can present this argument a little differently which might be more convincing?

Thanks again for all your help!

-Kausar