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Systematic review and meta-analysis of the visual mismatch negativity in Schizophrenia
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  • Prune Mazer,
  • Fábio Carneiro,
  • Juan Domingo,
  • Rita Pasion,
  • Celeste Silveira,
  • Fernando Ferreira-Santos
Prune Mazer
Polytechnic Institute of Porto

Corresponding Author:[email protected]

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Fábio Carneiro
University of Porto Faculty of Psychology and Educational Sciences
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Juan Domingo
Universidad Rey Juan Carlos
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Rita Pasion
Universidade Lusófona do Porto
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Celeste Silveira
University of Porto
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Fernando Ferreira-Santos
University of Porto Faculty of Psychology and Educational Sciences
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Mismatch Negativity (MMN) is an event-related potential component automatically elicited by events that violate predictions based on prior events. To elicit this component, researchers use stimulus repetition to induce predictions, and the MMN is obtained by subtracting the brain response to rare or unpredicted stimuli from that of frequent stimuli. Under the predictive processing framework, one increasingly popular interpretation of the mismatch response postulates that MMN represents a prediction error. In this context, the reduced MMN amplitude to auditory stimuli has been considered a potential biomarker of Schizophrenia, representing a reduced prediction error and the inability to update the mental model of the world based on the sensory signals. It is unclear, however, whether this amplitude reduction is specific for auditory events or if the visual MMN reveals a similar pattern in Schizophrenia Spectrum Disorder. This review and meta-analysis aimed to summarise the available literature on the vMMN in Schizophrenia. A systematic literature search resulted in 11 eligible studies that resulted in a combined effect size of g = - 0.63, CI [-0.86, -0.41], reflecting lower vMMN amplitudes in patients. These results are in line with the findings in the auditory domain. This component offers certain advantages, such as less susceptibility to attentional influences. Future studies should use vMMN to explore abnormalities in the PPF in different stages and groups of the SSD and increase the knowledge in the search for biomarkers in Schizophrenia.
28 Jun 2023Submitted to European Journal of Neuroscience
29 Jun 2023Assigned to Editor
29 Jun 2023Submission Checks Completed
30 Jun 2023Review(s) Completed, Editorial Evaluation Pending
07 Jul 2023Reviewer(s) Assigned