Hi, Sam-

You can't combine censoring and 3dRSFC.

At present, the best way to go to estimate RSFC parameters like ALFF, fALFF, RSFA, etc. if you are censoring would be to use 3dLombScargle (yes, that's really the name of a program) with 3dAmpToRSFC after. 3dLombScargle can estimate a power spectrum when the sampling rate isn't constant (i..e, when FMRI data sets have been censored). 3dAmpToRSFC will take 3dLombScargle's results and estimate RSFC params. Note that if you have a lot of censoring, then the RSFC parameter estimates become biased. In looking at this in an OHBM poster, it seemed like if >20% of your data is censored, then the biasing is too much to get usable results. FOr data with <10% of time points censored, things should be pretty good.

Note that you would likely *not* want to bandpass in your FMRI processing if you are going to do this. At the very least, if you *do* bandpass, then you cannot estimate fALFF or fRSFA, and your range of LFFs for ALFF estimation would have to match or be within that bandpass range.

--pt