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Chunk #55 — 2. Characteristic surface Laplacian topographies — 2.3. Mismatch negativity (MMN)

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Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review.
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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 component’s polarity is determined by convention), peaking approximately around 150 ms, but notably after the N1 peak, and showing a broad frontocentral maximum. However, by employing a surface Laplacian for MMN data obtained during a directed attention (dichotic listing) task, Giard et al. (1990) found strong topographical evidence for two distinct MMN components comprising frontal and temporal neural generators, which could not be distinguished in the surface potentials.