Predicting Remission in Subjects at Clinical High Risk for Psychosis Using Mismatch Negativity
Open accessAbstract
Background: The declining transition rate to psychotic disorder and the increasing rate of nonpsychotic poor outcomes among subjects at clinical high risk (CHR) for psychosis have increased the need for biomarkers to predict remission regardless of transition. This study investigated whether mismatch negativity (MMN) predicts the prognosis of CHR individuals during a 6-year follow-up period. Methods: A total of 47 healthy control (HC) subjects and 48 subjects at CHR for psychosis participated in the MMN assessment. The clinical statuses of the CHR subjects were examined at baseline and regularly for up to 6 years. The CHR subjects were divided into remitter and nonremitter groups, and the baseline MMN amplitudes and latencies were compared across the remitter, nonremitter, and HC groups. Regression analyses were performed to identify the predictive factors of remission, the improvement of attenuated positive symptoms, and functional recovery. Results: CHR nonremitters showed reduced MMN amplitudes at baseline compared to CHR remitters and HC subjects. A logistic regression analysis revealed that the baseline MMN amplitude at the frontal electrode site was the only significant predictor of remission. In a multiple regression analysis, the MMN amplitude, antipsychotic use, and years of education predicted an improvement in attenuated positive symptoms. The MMN amplitude at baseline predicted functional recovery. Conclusions: These results suggest that MMN is a putative predictor of prognosis regardless of the transition to psychotic disorder in subjects at CHR. Early prognosis prediction and the provision of appropriate interventions based on the initial CHR status might be aided using MMN.
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Small MMN amplitude in individuals at ultra-high risk predicts future remission.
“Small MMN amplitude found in individuals at ultra-high-risk predicts the future onset of psychosis (5) and future remission (6).”
From A Predictive Coding Perspective on Mismatch Negativity Impairment in Schizophrenia (2020) · cites this paper as [6]
The Discussion reports the opposite direction: nonremitters had reduced baseline MMN amplitudes, while a larger baseline MMN amplitude predicted remission. The Abstract likewise says nonremitters had reduced amplitudes compared with remitters. (LLM, conf=0.90)
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“Small MMN amplitude found in individuals at ultrahigh-risk predicts the future onset of psychosis (5) and future remission (6).”
Background
- Authors
- Kim, M., Lee, T. H., Yoon, Y. B., Lee, T. Y., & Kwon, J. S.
- Affiliations
- Seoul National University (KR)
- Corresponding author
- Kwon, Jun Soo
- Venue
- Schizophrenia Bulletin
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-07-31
- Volume
- 44
- Issue
- 3
- Pages
- 575-583
- ISSN
- 0586-7614 (ISSN-L)
- 1745-1701
- PMC
- PMC5890455
- OpenAlex
- W2740445069
- Cited by
- 45
- References
- 42
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 2 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 13 · 2019: 2 · 2018: 3
- FWCI
- 4.04
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Schizophrenia Bulletin (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Research Foundation of Korea
- Ministry of Science, ICT and Future Planning (2016R1E1A1A02921618)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Schizophrenia research and treatment
- Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- mismatch negativity, clinical high risk for psychosis
- MeSH terms
- Adolescent, Adult, Cerebral Cortex, Electroencephalography, Evoked Potentials, Female, Follow-Up Studies, Humans, Male, Prognosis, Psychotic Disorders, Remission Induction, Risk, Schizophrenia, Disease Progression, Young Adult
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