Prediction of Psychosis by Mismatch Negativity

Bodatsch, Mitja; Ruhrmann, Stephan; Wagner, Michael; Müller, Ralf; Schultze-Lutter, Frauke; Frommann, Ingo; Brinkmeyer, Jürgen; Gaebel, Wolfgang; Maier, Wolfgang; Klosterkötter, Joachim; Brockhaus-Dumke, Anke (2011). Prediction of Psychosis by Mismatch Negativity. Biological psychiatry, 69(10), pp. 959-966. New York, N.Y.: Elsevier 10.1016/j.biopsych.2010.09.057

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BACKGROUND: To develop risk-adapted prevention of psychosis, an accurate estimation of the individual risk of psychosis at a given time is needed. Inclusion of biological parameters into multilevel prediction models is thought to improve predictive accuracy of models on the basis of clinical variables. To this aim, mismatch negativity (MMN) was investigated in a sample clinically at high risk, comparing individuals with and without subsequent conversion to psychosis. METHODS: At baseline, an auditory oddball paradigm was used in 62 subjects meeting criteria of a late risk at-state who remained antipsychotic-naive throughout the study. Median follow-up period was 32 months (minimum of 24 months in nonconverters, n = 37). Repeated-measures analysis of covariance was employed to analyze the MMN recorded at frontocentral electrodes; additional comparisons with healthy controls (HC, n = 67) and first-episode schizophrenia patients (FES, n = 33) were performed. Predictive value was evaluated by a Cox regression model. RESULTS: Compared with nonconverters, duration MMN in converters (n = 25) showed significantly reduced amplitudes across the six frontocentral electrodes; the same applied in comparison with HC, but not FES, whereas the duration MMN in in nonconverters was comparable to HC and larger than in FES. A prognostic score was calculated based on a Cox regression model and stratified into two risk classes, which showed significantly different survival curves. CONCLUSIONS: Our findings demonstrate the duration MMN is significantly reduced in at-risk subjects converting to first-episode psychosis compared with nonconverters and may contribute not only to the prediction of conversion but also to a more individualized risk estimation and thus risk-adapted prevention.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > University Psychiatric Services > University Hospital of Child and Adolescent Psychiatry and Psychotherapy
UniBE Contributor:	Schultze-Lutter, Frauke
Subjects:	600 Technology > 610 Medicine & health
ISSN:	0006-3223
Publisher:	Elsevier
Language:	English
Submitter:	Myriam Pyrlik
Date Deposited:	04 Oct 2013 14:18
Last Modified:	05 Dec 2022 14:05
Publisher DOI:	10.1016/j.biopsych.2010.09.057
PubMed ID:	21167475
Web of Science ID:	000290302700013
URI:	https://boris.unibe.ch/id/eprint/5797 (FactScience: 210632)