theta-loss; Bernat et al., 2011). The co-activation of theta and delta and their separate relations to ERP components indicate that dividing ERPs into components based on peaks and troughs may artificially separate overlapping, but separable, processes (e.g., theta and delta) operating throughout the ERP response. Thus, TF EEG phase dynamics have a crucial role in the structure of ERP components, and decomposing ERPs into TF representations can help avoid the problems of summed overlapping frequency information on ERP morphology (superposition principle; Schürmann et al., 2001).2
