Hi everybody,

I'm (re)writing the methods section of a resting state paper where the analysis is based on example 9 in afni_proc.py. I just want to include a couple of lines on why including bandpass regressors in the model matrix has advantages.

Those that I can come up with include:
1. permits censoring without having to break the time axis or replace censored time points with inappropriate data (e.g. average of time points on either side of the censored volume.)
2. I have a vague recollection of somebody saying that it makes the impact of the degrees of freedom in the model more explicit rather than performing an FFT first and then doing regression. (I could be completely wrong on this one as I could be mistaken or hallucinating!)

Am I right on any of these? Are there more that I've not mentioned?

Thanks,

Colm.



Edited 1 time(s). Last edit at 11/15/2012 04:23PM by Colm Connolly.