Translatability of Scalp EEG Recordings of Duration-Deviant Mismatch Negativity Between Macaques and Humans: A Pilot

Mariko Tada1,2, Yuki Suda3,4, Kenji Kirihara1

  • 1Department of Neuropsychiatry, Graduate School of Medicine, University of Tokyo, Tokyo, Japan.

Frontiers in Psychiatry
|October 2, 2020
PubMed

Insights

Duration-deviant MMN (dMMN), a potential schizophrenia biomarker, was observed in macaque EEG recordings. This study demonstrates a comparable dMMN in macaques, advancing non-human primate models for schizophrenia research.

Area of Science:

  • Neuroscience
  • Psychiatry
  • Biomarkers

Background:

  • Mismatch negativity (MMN) is an auditory event-related potential (ERP) sensitive to sound changes.
  • Reduced MMN in schizophrenia suggests its potential as a biomarker.
  • Non-human primate (NHP) models offer translational value for studying MMN due to cortical homology.

Purpose of the Study:

  • To investigate the presence of duration-deviant MMN (dMMN) in macaque scalp electroencephalogram (EEG) recordings.
  • To establish a comparable NHP model for dMMN, addressing limitations in previous MMN studies.
  • To explore the potential of dMMN as a translational biomarker for schizophrenia.

Main Methods:

  • Auditory oddball paradigm using standard (100 ms) and deviant (50 ms) duration tones.
  • Scalp EEG recordings from frontal electrodes (Fz) in two Japanese macaques.
  • Analysis of event-related potentials to identify dMMN characteristics.

Main Results:

  • A robust dMMN was observed in both macaques with a latency around 200 ms, similar to human findings.
  • dMMN latency was longer compared to frequency-deviant MMN (fMMN).
  • The study successfully demonstrated dMMN in an NHP model.

Conclusions:

  • The macaque dMMN model replicates human findings, providing a valuable tool for schizophrenia research.
  • This advancement bridges basic and clinical research, facilitating the development of novel therapeutic strategies.
  • The findings support the utility of dMMN as a translational biomarker for schizophrenia.

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