EEG microstates as biomarker for psychosis in ultra-high-risk patients

de Bock, Renate and Mackintosh, Amatya Johanna and Maier, Franziska and Borgwardt, Stefan and Riecher-Rössler, Anita and Andreou, Christina. (2020) EEG microstates as biomarker for psychosis in ultra-high-risk patients. Translational Psychiatry, 10 (1). p. 300.

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Resting-state EEG microstates are brief (50-100 ms) periods, in which the spatial configuration of scalp global field power remains quasi-stable before rapidly shifting to another configuration. Changes in microstate parameters have been described in patients with psychotic disorders. These changes have also been observed in individuals with a clinical or genetic high risk, suggesting potential usefulness of EEG microstates as a biomarker for psychotic disorders. The present study aimed to investigate the potential of EEG microstates as biomarkers for psychotic disorders and future transition to psychosis in patients at ultra-high-risk (UHR). We used 19-channel clinical EEG recordings and orthogonal contrasts to compare temporal parameters of four normative microstate classes (A-D) between patients with first-episode psychosis (FEP; n = 29), UHR patients with (UHR-T; n = 20) and without (UHR-NT; n = 34) later transition to psychosis, and healthy controls (HC; n = 25). Microstate A was increased in patients (FEP & UHR-T & UHR- NT) compared to HC, suggesting an unspecific state biomarker of general psychopathology. Microstate B displayed a decrease in FEP compared to both UHR patient groups, and thus may represent a state biomarker specific to psychotic illness progression. Microstate D was significantly decreased in UHR-T compared to UHR-NT, suggesting its potential as a selective biomarker of future transition in UHR patients.
Faculties and Departments:07 Faculty of Psychology
UniBasel Contributors:Mackintosh, Amatya and de Bock, Renate and Andreou, Christina and Borgwardt, Stefan and Riecher-Rössler, Anita
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Springer Nature
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:25 Nov 2020 14:28
Deposited On:25 Nov 2020 14:28

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