There remain significant residual motion effects in the resting-state fMRI signal after motion correction, motion censoring, and motion regression. Due to the residual motion in the BOLD signal, use of data-driven nuisance regressors for physiological noise correction can potentially be effective in removing the residual motion. The aim of the current study is to investigate the effect of different regressors on residual motion. Our data show that the residual motion is removed by aCompCor and GSR. We recommend the output of the preprocessing pipelines be correlated against framewise motion to ensure any residual motion is removed prior to subsequent analysis.
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