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

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...

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Autores principales: de Bock, Renate, Mackintosh, Amatya J., Maier, Franziska, Borgwardt, Stefan, Riecher-Rössler, Anita, Andreou, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445239/
https://www.ncbi.nlm.nih.gov/pubmed/32839449
http://dx.doi.org/10.1038/s41398-020-00963-7
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author de Bock, Renate
Mackintosh, Amatya J.
Maier, Franziska
Borgwardt, Stefan
Riecher-Rössler, Anita
Andreou, Christina
author_facet de Bock, Renate
Mackintosh, Amatya J.
Maier, Franziska
Borgwardt, Stefan
Riecher-Rössler, Anita
Andreou, Christina
author_sort de Bock, Renate
collection PubMed
description 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.
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spelling pubmed-74452392020-09-02 EEG microstates as biomarker for psychosis in ultra-high-risk patients de Bock, Renate Mackintosh, Amatya J. Maier, Franziska Borgwardt, Stefan Riecher-Rössler, Anita Andreou, Christina Transl Psychiatry Article 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. Nature Publishing Group UK 2020-08-24 /pmc/articles/PMC7445239/ /pubmed/32839449 http://dx.doi.org/10.1038/s41398-020-00963-7 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
de Bock, Renate
Mackintosh, Amatya J.
Maier, Franziska
Borgwardt, Stefan
Riecher-Rössler, Anita
Andreou, Christina
EEG microstates as biomarker for psychosis in ultra-high-risk patients
title EEG microstates as biomarker for psychosis in ultra-high-risk patients
title_full EEG microstates as biomarker for psychosis in ultra-high-risk patients
title_fullStr EEG microstates as biomarker for psychosis in ultra-high-risk patients
title_full_unstemmed EEG microstates as biomarker for psychosis in ultra-high-risk patients
title_short EEG microstates as biomarker for psychosis in ultra-high-risk patients
title_sort eeg microstates as biomarker for psychosis in ultra-high-risk patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7445239/
https://www.ncbi.nlm.nih.gov/pubmed/32839449
http://dx.doi.org/10.1038/s41398-020-00963-7
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