Skip to main content
. Author manuscript; available in PMC: 2014 Nov 15.
Published in final edited form as: Neuroimage. 2013 Jun 6;0:208–225. doi: 10.1016/j.neuroimage.2013.05.116

Figure 2.

Figure 2

Bandpass filtering and nuisance regression approaches used in 144 resting-state fMRI functional connectivity studies drawn from 200 randomly sampled studies. For approaches that applied spectral filtering (BpReg, RegBp, Filtering Only), mean values and standard deviations for the low-frequency and high-frequency cutoffs for the filter are reported, as is the relative frequency of bandpass, high-pass, and low-pass filtering. For the BpReg approach, studies that spectrally filtered a given nuisance regressor to match the filtered fMRI data and denoted Bp (Signal).