An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data

► We describe spatial, temporal, and spectral features of rsfc-MRI motion artifact. ► We show how these artifact features impact preprocessing choices. ► We systematically evaluate different confound regression and filtering techniques. ► Our optimized preprocessing approach minimizes rsfc-MRI motion artifact.