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EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review

Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clini...

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Autores principales: Perrottelli, Andrea, Giordano, Giulia Maria, Brando, Francesco, Giuliani, Luigi, Mucci, Armida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129021/
https://www.ncbi.nlm.nih.gov/pubmed/34017273
http://dx.doi.org/10.3389/fpsyt.2021.653642
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author Perrottelli, Andrea
Giordano, Giulia Maria
Brando, Francesco
Giuliani, Luigi
Mucci, Armida
author_facet Perrottelli, Andrea
Giordano, Giulia Maria
Brando, Francesco
Giuliani, Luigi
Mucci, Armida
author_sort Perrottelli, Andrea
collection PubMed
description Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clinical and functional outcome. The identification of neuronal aberrations in subjects with a first episode of psychosis (FEP) and in those at ultra high-risk (UHR) or clinical high-risk (CHR) to develop a psychosis is crucial to implement adequate interventions, reduce the rate of transition to psychosis, as well as the risk of irreversible functioning impairment. The aim of the review is to provide an up-to-date synthesis of the electrophysiological findings in the at-risk mental state and early stages of schizophrenia. Methods: A systematic review of English articles using Pubmed, Scopus, and PsychINFO was undertaken in July 2020. Additional studies were identified by hand-search. Electrophysiological studies that included at least one group of FEP or subjects at risk to develop psychosis, compared to healthy controls (HCs), were considered. The heterogeneity of the studies prevented a quantitative synthesis. Results: Out of 319 records screened, 133 studies were included in a final qualitative synthesis. Included studies were mainly carried out using frequency analysis, microstates and event-related potentials. The most common findings included an increase in delta and gamma power, an impairment in sensory gating assessed through P50 and N100 and a reduction of Mismatch Negativity and P300 amplitude in at-risk mental state and early stages of schizophrenia. Progressive changes in some of these electrophysiological measures were associated with transition to psychosis and disease course. Heterogeneous data have been reported for indices evaluating synchrony, connectivity, and evoked-responses in different frequency bands. Conclusions: Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Some of these alterations demonstrated association with transition to psychosis or poor functional outcome. However, heterogeneity in subjects' inclusion criteria, clinical measures and electrophysiological methods prevents drawing solid conclusions. Large prospective studies are needed to consolidate findings concerning electrophysiological markers of clinical and functional outcome.
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spelling pubmed-81290212021-05-19 EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review Perrottelli, Andrea Giordano, Giulia Maria Brando, Francesco Giuliani, Luigi Mucci, Armida Front Psychiatry Psychiatry Introduction: Electrophysiological (EEG) abnormalities in subjects with schizophrenia have been largely reported. In the last decades, research has shifted to the identification of electrophysiological alterations in the prodromal and early phases of the disorder, focusing on the prediction of clinical and functional outcome. The identification of neuronal aberrations in subjects with a first episode of psychosis (FEP) and in those at ultra high-risk (UHR) or clinical high-risk (CHR) to develop a psychosis is crucial to implement adequate interventions, reduce the rate of transition to psychosis, as well as the risk of irreversible functioning impairment. The aim of the review is to provide an up-to-date synthesis of the electrophysiological findings in the at-risk mental state and early stages of schizophrenia. Methods: A systematic review of English articles using Pubmed, Scopus, and PsychINFO was undertaken in July 2020. Additional studies were identified by hand-search. Electrophysiological studies that included at least one group of FEP or subjects at risk to develop psychosis, compared to healthy controls (HCs), were considered. The heterogeneity of the studies prevented a quantitative synthesis. Results: Out of 319 records screened, 133 studies were included in a final qualitative synthesis. Included studies were mainly carried out using frequency analysis, microstates and event-related potentials. The most common findings included an increase in delta and gamma power, an impairment in sensory gating assessed through P50 and N100 and a reduction of Mismatch Negativity and P300 amplitude in at-risk mental state and early stages of schizophrenia. Progressive changes in some of these electrophysiological measures were associated with transition to psychosis and disease course. Heterogeneous data have been reported for indices evaluating synchrony, connectivity, and evoked-responses in different frequency bands. Conclusions: Multiple EEG-indices were altered during at-risk mental state and early stages of schizophrenia, supporting the hypothesis that cerebral network dysfunctions appear already before the onset of the disorder. Some of these alterations demonstrated association with transition to psychosis or poor functional outcome. However, heterogeneity in subjects' inclusion criteria, clinical measures and electrophysiological methods prevents drawing solid conclusions. Large prospective studies are needed to consolidate findings concerning electrophysiological markers of clinical and functional outcome. Frontiers Media S.A. 2021-05-04 /pmc/articles/PMC8129021/ /pubmed/34017273 http://dx.doi.org/10.3389/fpsyt.2021.653642 Text en Copyright © 2021 Perrottelli, Giordano, Brando, Giuliani and Mucci. 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
Perrottelli, Andrea
Giordano, Giulia Maria
Brando, Francesco
Giuliani, Luigi
Mucci, Armida
EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title_full EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title_fullStr EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title_full_unstemmed EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title_short EEG-Based Measures in At-Risk Mental State and Early Stages of Schizophrenia: A Systematic Review
title_sort eeg-based measures in at-risk mental state and early stages of schizophrenia: a systematic review
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8129021/
https://www.ncbi.nlm.nih.gov/pubmed/34017273
http://dx.doi.org/10.3389/fpsyt.2021.653642
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