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What's intact and what's not within the mismatch negativity system in schizophrenia

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posted on 2025-11-09, 03:29 authored by Juanita ToddJuanita Todd, Lisa SawyerLisa Sawyer, E Smith, Patricia MichiePatricia Michie, U Schall, PB Ward
Repetitive patterning facilitates inferences about likely properties of sound to follow. Mismatch negativity (MMN) occurs when sound fails to match an inference. Smaller MMN in schizophrenia indexes deficient gain control (difference in utilizing a limited dynamic range). Although it is clear that this group has a lower limit to MMN size, this study addressed whether smaller MMN indicates impaired perceptual inference. MMN was elicited to four deviants in two sequences: one in which occurrence was random and one in which it was paired. Despite smaller MMN, persons with schizophrenia are equally able to reduce MMN size evoked by a deviant when its occurrence is cued. Results also expose alterations in the evoked response to repeated sounds that appear to be exacerbations of age-related amplitude decline. Since these anomalies impact the computed MMN, they highlight the need to identify all contributions to limits in gain control in schizophrenia. © 2014 Society for Psychophysiological Research.

Funding

;This research was funded by the National Health and Medical Research Council (NHMRC: Project Grant ID 1002995) and was supported by the Australian Schizophrenia Research Bank (ASRB) and the Schizophrenia Research Institute utilizing infrastructure funding from NSW Health. We gratefully acknowledge the assistance of Dr. David McKenzie in data collection and preprocessing.

National Health and Medical Research Council (NHMRC) | 1002995

Australian Schizophrenia Research Bank (ASRB)

Schizophrenia Research Institute from NSW Health

History

Journal title

Psychophysiology

Location

United States

Volume

51

Issue

4

Pagination

337-347

Publisher

WILEY

Language

  • en, English

College/Research Centre

College of Engineering, Science and Environment

School

School of Psychological Sciences