Mismatch negativity in schizophrenia: a meta-analysis
Abstract
Background Mismatch negativity (MMN) is an auditory event-related potential that provides an index of automatic context-dependent information processing and auditory sensory memory. Many studies have reported abnormalities in the generation of MMN in schizophrenia. The objective of this study was to assess the magnitude of this deficit and associated factors.Method Studies of MMN in schizophrenia were identified and included in a meta-analysis to estimate the mean effect size. Effects of duration of illness, gender ratio, age of patients, type of MMN (duration versus frequency MMN) and characteristics of the test paradigms (deviant probability, magnitude of standard-deviant difference) on effect size were assessed.Results Of 62 identified studies 32 met our inclusion criteria. The mean effect size was 0.99 (95% confidence intervals: 0.79, 1.29). Overall, no specific factor was significantly associated with MMN deficits, although MMN to stimuli differing in duration appeared more impaired in schizophrenia than MMN to frequency deviants. In addition, effect sizes of frequency MMN were significantly correlated with duration of illness.Conclusions MMN deficits are a robust feature in chronic schizophrenia and indicate abnormalities in automatic context-dependent auditory information processing and auditory sensory memory in these patients. Reports of normal MMN in first-episode schizophrenia and the association of deficits in frequency MMN with illness duration suggest that MMN may index ongoing neuropathological changes in the auditory cortex in schizophrenia.
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Individuals with schizophrenia often show reduced mismatch negativity responses, consistent with improper error signalling.
“Individuals with schizophrenia often show reduced mismatch negativity responses, consistent with improper error signalling (37).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [37]
Deficits in MMN generation were first reported in the early 1990s and have since been a widely replicated neurophysiological finding in schizophrenia.
“Deficits in MMN generation were first reported in the early 1990’s, and this finding has since been a widely replicated neurophysiological finding in schizophrenia (rev. in 3, 61, 62, 63)”
From Sensory Processing Dysfunction in the Personal Experience and Neuronal Machinery of Schizophrenia (2015) · cites this paper as [61]
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- Authors
- Umbricht, D., & Krljes, S.
- Affiliations
- University of Zurich (CH)
- Birkbeck, University of London (GB)
- Corresponding author
- Umbricht, Daniel
- ORCID
- Umbricht, Daniel
- Venue
- Schizophrenia Research
- Publisher
- Elsevier BV
- Published
- 2005-07
- Volume
- 76
- Issue
- 1
- Pages
- 1-23
- ISSN
- 0920-9964 (ISSN-L)
- OpenAlex
- W2125206183
- Cited by
- 742
- References
- 122
- Citations by year
- 2026: 28 · 2025: 26 · 2024: 38 · 2023: 27 · 2022: 30 · 2021: 34 · 2020: 43 · 2019: 49 · 2018: 39 · 2017: 43 · 2016: 42 · 2015: 47 · 2014: 43 · 2013: 46 · 2012: 30
- FWCI
- 3.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Schizophrenia Research (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hallucinations in medical conditions
- Social Sciences › Arts and Humanities › Philosophy › Mental Health and Psychiatry
- Keywords
- mismatch negativity, schizophrenia
- MeSH terms
- Auditory Cortex, Chronic Disease, Contingent Negative Variation, Electroencephalography, Evoked Potentials, Auditory, Humans, Mental Recall, Reference Values, Schizophrenia, Schizophrenic Psychology, Sensitivity and Specificity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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