2023
DOI: 10.1007/s00221-023-06573-1
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The role of attention control in visual mismatch negativity (vMMN) studies

Abstract: The detection of unattended visual changes is investigated by the visual mismatch negativity (vMMN) component of event-related potentials (ERPs). The vMMN is measured as the difference between the ERPs to infrequent (deviant) and frequent (standard) stimuli irrelevant to the ongoing task. In the present study, we used human faces expressing different emotions as deviants and standards. In such studies, participants perform various tasks, so their attention is diverted from the vMMN-related stimuli. If such tas… Show more

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Cited by 2 publications
(1 citation statement)
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“…We also have focused on evidence from predictive cueing designs in which there is a clear logic regarding how participants' expectations are manipulated. Effects attributed to expectation violations have been reported in visual oddball designs, although they are not always consistent across experiments using different stimulus categories (e.g., Kimura et al, 2009;Male et al, 2020;Feuerriegel et al, 2021b) or tasks (File & Czigler, 2019;Petro et al, 2023). In macaques, ES and surprise effects on electrophysiological measures have been observed in statistical learning designs that involve weeks of training and hundreds of image pairings (e.g., Meyer & Olson, 2011;Ramachandran et al, 2017;Kaposvari et al, 2018).…”
Section: Limitationsmentioning
confidence: 99%
“…We also have focused on evidence from predictive cueing designs in which there is a clear logic regarding how participants' expectations are manipulated. Effects attributed to expectation violations have been reported in visual oddball designs, although they are not always consistent across experiments using different stimulus categories (e.g., Kimura et al, 2009;Male et al, 2020;Feuerriegel et al, 2021b) or tasks (File & Czigler, 2019;Petro et al, 2023). In macaques, ES and surprise effects on electrophysiological measures have been observed in statistical learning designs that involve weeks of training and hundreds of image pairings (e.g., Meyer & Olson, 2011;Ramachandran et al, 2017;Kaposvari et al, 2018).…”
Section: Limitationsmentioning
confidence: 99%