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Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study

BACKGROUND: The clinical high-risk for psychosis (CHR-P) paradigm was introduced to detect individuals at risk of developing psychosis and to establish preventive strategies. While current prediction of outcomes in the CHR-P state is based mostly on the clinical assessment of presenting features, se...

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Autores principales: Kerins, Sarah, Nottage, Judith, Salazar de Pablo, Gonzalo, Kempton, Matthew J., Tognin, Stefania, Niemann, Dorien H., de Haan, Lieuwe, van Amelsvoort, Thérèse, Kwon, Jun Soo, Nelson, Barnaby, Mizrahi, Romina, McGuire, Philip, Fusar-Poli, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970279/
https://www.ncbi.nlm.nih.gov/pubmed/35370849
http://dx.doi.org/10.3389/fpsyt.2022.828376
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author Kerins, Sarah
Nottage, Judith
Salazar de Pablo, Gonzalo
Kempton, Matthew J.
Tognin, Stefania
Niemann, Dorien H.
de Haan, Lieuwe
van Amelsvoort, Thérèse
Kwon, Jun Soo
Nelson, Barnaby
Mizrahi, Romina
McGuire, Philip
Fusar-Poli, Paolo
author_facet Kerins, Sarah
Nottage, Judith
Salazar de Pablo, Gonzalo
Kempton, Matthew J.
Tognin, Stefania
Niemann, Dorien H.
de Haan, Lieuwe
van Amelsvoort, Thérèse
Kwon, Jun Soo
Nelson, Barnaby
Mizrahi, Romina
McGuire, Philip
Fusar-Poli, Paolo
author_sort Kerins, Sarah
collection PubMed
description BACKGROUND: The clinical high-risk for psychosis (CHR-P) paradigm was introduced to detect individuals at risk of developing psychosis and to establish preventive strategies. While current prediction of outcomes in the CHR-P state is based mostly on the clinical assessment of presenting features, several emerging biomarkers have been investigated in an attempt to stratify CHR-P individuals according to their individual trajectories and refine the diagnostic process. However, heterogeneity across subgroups is a key challenge that has limited the impact of the CHR-P prediction strategies, as the clinical validity of the current research is limited by a lack of external validation across sites and modalities. Despite these challenges, electroencephalography (EEG) biomarkers have been studied in this field and evidence suggests that EEG used in combination with clinical assessments may be a key measure for improving diagnostic and prognostic accuracy in the CHR-P state. The PSYSCAN EEG study is an international, multi-site, multimodal longitudinal project that aims to advance knowledge in this field. METHODS: Participants at 6 international sites take part in an EEG protocol including EEG recording, cognitive and clinical assessments. CHR-P participants will be followed up after 2 years and subcategorised depending on their illness progression regarding transition to psychosis. Differences will be sought between CHR-P individuals and healthy controls and between CHR-P individuals who transition and those who do not transition to psychosis using data driven computational analyses. DISCUSSION: This protocol addresses the challenges faced by previous studies of this kind to enable valid identification of predictive EEG biomarkers which will be combined with other biomarkers across sites to develop a prognostic tool in CHR-P. The PSYSCAN EEG study aims to pave the way for incorporating EEG biomarkers in the assessment of CHR-P individuals, to refine the diagnostic process and help to stratify CHR-P subjects according to risk of transition. This may improve our understanding of the CHR-P state and therefore aid the development of more personalized treatment strategies.
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spelling pubmed-89702792022-04-01 Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study Kerins, Sarah Nottage, Judith Salazar de Pablo, Gonzalo Kempton, Matthew J. Tognin, Stefania Niemann, Dorien H. de Haan, Lieuwe van Amelsvoort, Thérèse Kwon, Jun Soo Nelson, Barnaby Mizrahi, Romina McGuire, Philip Fusar-Poli, Paolo Front Psychiatry Psychiatry BACKGROUND: The clinical high-risk for psychosis (CHR-P) paradigm was introduced to detect individuals at risk of developing psychosis and to establish preventive strategies. While current prediction of outcomes in the CHR-P state is based mostly on the clinical assessment of presenting features, several emerging biomarkers have been investigated in an attempt to stratify CHR-P individuals according to their individual trajectories and refine the diagnostic process. However, heterogeneity across subgroups is a key challenge that has limited the impact of the CHR-P prediction strategies, as the clinical validity of the current research is limited by a lack of external validation across sites and modalities. Despite these challenges, electroencephalography (EEG) biomarkers have been studied in this field and evidence suggests that EEG used in combination with clinical assessments may be a key measure for improving diagnostic and prognostic accuracy in the CHR-P state. The PSYSCAN EEG study is an international, multi-site, multimodal longitudinal project that aims to advance knowledge in this field. METHODS: Participants at 6 international sites take part in an EEG protocol including EEG recording, cognitive and clinical assessments. CHR-P participants will be followed up after 2 years and subcategorised depending on their illness progression regarding transition to psychosis. Differences will be sought between CHR-P individuals and healthy controls and between CHR-P individuals who transition and those who do not transition to psychosis using data driven computational analyses. DISCUSSION: This protocol addresses the challenges faced by previous studies of this kind to enable valid identification of predictive EEG biomarkers which will be combined with other biomarkers across sites to develop a prognostic tool in CHR-P. The PSYSCAN EEG study aims to pave the way for incorporating EEG biomarkers in the assessment of CHR-P individuals, to refine the diagnostic process and help to stratify CHR-P subjects according to risk of transition. This may improve our understanding of the CHR-P state and therefore aid the development of more personalized treatment strategies. Frontiers Media S.A. 2022-03-16 /pmc/articles/PMC8970279/ /pubmed/35370849 http://dx.doi.org/10.3389/fpsyt.2022.828376 Text en Copyright © 2022 Kerins, Nottage, Salazar de Pablo, Kempton, Tognin, Niemann, de Haan, van Amelsvoort, Kwon, Nelson, Mizrahi, McGuire, Fusar-Poli and the PSYSCAN Consortium. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Kerins, Sarah
Nottage, Judith
Salazar de Pablo, Gonzalo
Kempton, Matthew J.
Tognin, Stefania
Niemann, Dorien H.
de Haan, Lieuwe
van Amelsvoort, Thérèse
Kwon, Jun Soo
Nelson, Barnaby
Mizrahi, Romina
McGuire, Philip
Fusar-Poli, Paolo
Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title_full Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title_fullStr Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title_full_unstemmed Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title_short Identifying Electroencephalography Biomarkers in Individuals at Clinical High Risk for Psychosis in an International Multi-Site Study
title_sort identifying electroencephalography biomarkers in individuals at clinical high risk for psychosis in an international multi-site study
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970279/
https://www.ncbi.nlm.nih.gov/pubmed/35370849
http://dx.doi.org/10.3389/fpsyt.2022.828376
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