A comparison of visual and acoustic mismatch negativity as potential biomarkers in schizophrenia

Hajnalka Molnár1, Csilla Marosi1, Melinda Becske1

  • 1Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary.

Scientific Reports
|January 10, 2024
PubMed

Insights

Mismatch negativity (MMN), an auditory and visual event-related potential, is reduced in schizophrenia. Acoustic MMN shows greater deficits in patients, suggesting it may be a more promising biomarker for schizophrenia.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Science

Background:

  • Mismatch negativity (MMN) is an event-related potential (ERP) reflecting auditory and visual processing.
  • Previous research indicates attenuated MMN responses in schizophrenia patients for both auditory and visual stimuli.
  • Investigating auditory and visual MMN in the same patient cohort is crucial for understanding clinical utility.

Purpose of the Study:

  • To compare auditory and visual mismatch negativity (MMN) in schizophrenia patients and healthy controls.
  • To assess the clinical utility of MMN as a biomarker in schizophrenia.
  • To explore the impact of stimulus modality on predictive processing deficits in schizophrenia.

Main Methods:

  • 39 schizophrenia patients and 39 healthy controls underwent EEG recording.
  • Auditory and visual stimulus sequences were presented in eight experimental blocks.
  • MMN was calculated by subtracting standard stimulus responses from deviant stimulus responses.

Main Results:

  • A significant acoustic MMN was observed in controls but not in schizophrenia patients, with a significant group difference.
  • Visual MMN (12-vane windmill pattern) was present in controls but not patients in an early time window; no significant group difference was found for the 6-vane pattern.
  • No correlation was found between MMN amplitudes and clinical variables in schizophrenia patients.

Conclusions:

  • Predictive processing deficits in schizophrenia appear more pronounced in the acoustic than the visual domain.
  • Acoustic MMN demonstrates potential as a more sensitive biomarker for schizophrenia compared to visual MMN.
  • These findings highlight the differential impact of schizophrenia on auditory versus visual predictive coding mechanisms.