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Mismatch negativity (MMN) deficiency: a break-through biomarker in predicting psychosis onset

Risto Näätänen1, Tetsuya Shiga2, Satoko Asano2

  • 1Department of Psychology, University of Tartu, Tartu, Estonia; Center of Functionally Integrative Neuroscience (CFIN), University of Århus, Århus, Denmark; Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland.

International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology
|January 7, 2015
PubMed

Insights

Mismatch negativity (MMN) deficits are key indicators in schizophrenia, potentially predicting psychosis conversion in at-risk individuals. This auditory event-related potential may aid in identifying those likely to develop psychotic disorders.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Mismatch negativity (MMN) deficits are consistently observed in schizophrenia.
  • These deficits correlate with cognitive, functional, and executive impairments in patients.
  • MMN abnormalities are linked to psychosocial and socio-occupational challenges.

Purpose of the Study:

  • To review the predictive value of MMN in identifying individuals at clinical high risk for psychosis.
  • To explore the utility of MMN in early detection of psychotic disorders.
  • To highlight recent breakthroughs in using MMN for psychosis prediction.

Main Methods:

  • Review of existing literature on MMN in schizophrenia and at-risk mental states.
  • Analysis of studies measuring MMN, particularly to duration change, in clinically at-risk-mental state (ARMS) individuals.
  • Synthesis of findings regarding the correlation between MMN attenuation and psychosis conversion.

Main Results:

  • MMN deficit is a robust finding in schizophrenia, reflecting significant cognitive and functional impairments.
  • Recent studies show MMN, especially to duration change, can predict conversion to psychosis in ARMS individuals.
  • Attenuated MMN responses are associated with an increased likelihood of developing a psychotic disorder.

Conclusions:

  • MMN deficits are a significant biomarker in schizophrenia.
  • MMN measurements offer a promising tool for predicting psychosis conversion in at-risk populations.
  • Clinicians may use MMN to identify individuals at high risk for developing psychotic disorders, facilitating early intervention.
Keywords:
At-risk mental state (ARMS)Event related potential (ERP)Mismatch negativity (MMN)PredictionPsychosisSchizophreniaUltra-high risk

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