Auditory MMN, a pre-attentive measure of auditory change detection, enjoys almost the same popularity as the P3, as it can be easily studied in a wide range of healthy and clinical populations (e.g., for reviews, see Michie, 2001; Näätänen, 1990; Näätänen and Picton, 1987; Näätänen et al., 2012). Although the advantages of CSD transformations of MMN ERPs have recently been highlighted by Giard et al. (2014), MMN provides a convenient example for a prototypical ERP component derived from difference waveforms. The MMN paradigm effectively constitutes a passive oddball task, in which infrequent events (deviants) are embedded in a series of frequent events (standards) but subjects are not required to respond to the infrequent events, which typically differ from the frequent events in one or more physical stimulus property (e.g., frequency, duration, intensity). Rather, the subject’s attention is commonly directed towards a different task (e.g., reading a book or watching a movie), which also influences the MMN (e.g., Müller-Gass et al., 2005). The MMN itself is a prominent ‘negative’ deflection in the ERP difference waveforms of deviants and standards (i.e., the
