Hi, Abdullah-

Yes, if you want to calculate RSFC parameters *and* censor time points (and the latter really is typically recommended), then care is needed.

If estimating RSFC parameters, and censoring, then you will have to *not* use "-regress_RSFC ..." in afni_proc.py. Instead, you will have to use the 3dLombScargle and 3dAmpToRSFC programs.

If you want to estimate fALFF or fRSFA, each of which has the amplitude of the full time series spectrum in the denominator, then you *cannot* perform bandpassing in processing (e.g., in afni_proc.py).

But if you only care about ALFF and RSFA, then you could theoretically perform bandpassing during processing. Note that there are a number of papers that discuss the fact that useful information still exists above 0.1 Hz (Gohel and Biswal 2015, BC; Gohel et al. 2018, HBM), so you should really have a good reason to bandpass if you are doing so. Additionally, bandpassing at the degree typically used in resting state papers removes maaaany degrees of freedom from your data-- you can see the output stats in the HTML QC output by afni_proc.py.

--pt