Mismatch negativity (MMN) as a tool for translational investigations into early psychosis: A review

Mariko Tada1, Kenji Kirihara2, Shunsuke Mizutani3

  • 1Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan; International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8654, Japan.

Insights

Reduced mismatch negativity (MMN) is a key neurophysiological finding in schizophrenia. This auditory evoked potential shows promise as a biomarker for early psychosis and functional outcomes, bridging basic and clinical research.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Biomarkers

Background:

  • Reduced mismatch negativity (MMN) is a consistent neurophysiological finding in schizophrenia patients.
  • MMN shows potential as a biomarker due to its links with early psychosis, functional abilities, and translatability to animal models.

Purpose of the Study:

  • To review clinical reports on MMN in early psychosis, focusing on deviance type and outcomes.
  • To examine MMN studies in animal models and humans with intracranial recordings for translational research.
  • To explore neural mechanisms of MMN, including adaptation, deviance detection, and predictive coding.

Main Methods:

  • Review of clinical studies on MMN in early psychosis.
  • Review of MMN research in rodents and nonhuman primates.
  • Review of human intracranial recording studies of MMN.
  • Analysis of MMN generating mechanisms.

Main Results:

  • MMN reduction is a robust finding in schizophrenia.
  • The passive auditory oddball paradigm facilitates translational MMN research.
  • Studies explore MMN's relationship with clinical and functional outcomes in early psychosis.
  • Neural computations like deviance detection and predictive coding are key to MMN generation.

Conclusions:

  • MMN is a promising biomarker for schizophrenia, particularly in early psychosis.
  • MMN research, especially using translational models, can elucidate schizophrenia's neurobiological underpinnings.
  • Future MMN research can bridge basic and clinical science, potentially leading to novel therapeutic strategies.

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