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Neurophysiology in psychosis: The quest for disease biomarkers
Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917164/ https://www.ncbi.nlm.nih.gov/pubmed/35277479 http://dx.doi.org/10.1038/s41398-022-01860-x |
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author | Wang, Baihan Zartaloudi, Eirini Linden, Jennifer F. Bramon, Elvira |
author_facet | Wang, Baihan Zartaloudi, Eirini Linden, Jennifer F. Bramon, Elvira |
author_sort | Wang, Baihan |
collection | PubMed |
description | Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and cognition obtained through non-invasive neurophysiological tools, especially EEG, offer a unique opportunity to gain mechanistic insights. Techniques for measuring neurophysiological markers are inexpensive and ubiquitous, thus having the potential as an accessible tool for patient stratification towards early treatments leading to better outcomes. In this paper, we review the literature on neurophysiological markers for psychosis and their relevant disease mechanisms, mainly covering event-related potentials including P50/N100 sensory gating, mismatch negativity, and the N100 and P300 waveforms. While several neurophysiological deficits are well established in patients with psychosis, more research is needed to study neurophysiological markers in their unaffected relatives and individuals at clinical high risk. We need to harness EEG to investigate markers of disease risk as key steps to elucidate the aetiology of psychosis and facilitate earlier detection and treatment. |
format | Online Article Text |
id | pubmed-8917164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89171642022-03-25 Neurophysiology in psychosis: The quest for disease biomarkers Wang, Baihan Zartaloudi, Eirini Linden, Jennifer F. Bramon, Elvira Transl Psychiatry Review Article Psychotic disorders affect 3% of the population at some stage in life, are a leading cause of disability, and impose a great economic burden on society. Major breakthroughs in the genetics of psychosis have not yet been matched by an understanding of its neurobiology. Biomarkers of perception and cognition obtained through non-invasive neurophysiological tools, especially EEG, offer a unique opportunity to gain mechanistic insights. Techniques for measuring neurophysiological markers are inexpensive and ubiquitous, thus having the potential as an accessible tool for patient stratification towards early treatments leading to better outcomes. In this paper, we review the literature on neurophysiological markers for psychosis and their relevant disease mechanisms, mainly covering event-related potentials including P50/N100 sensory gating, mismatch negativity, and the N100 and P300 waveforms. While several neurophysiological deficits are well established in patients with psychosis, more research is needed to study neurophysiological markers in their unaffected relatives and individuals at clinical high risk. We need to harness EEG to investigate markers of disease risk as key steps to elucidate the aetiology of psychosis and facilitate earlier detection and treatment. Nature Publishing Group UK 2022-03-11 /pmc/articles/PMC8917164/ /pubmed/35277479 http://dx.doi.org/10.1038/s41398-022-01860-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Wang, Baihan Zartaloudi, Eirini Linden, Jennifer F. Bramon, Elvira Neurophysiology in psychosis: The quest for disease biomarkers |
title | Neurophysiology in psychosis: The quest for disease biomarkers |
title_full | Neurophysiology in psychosis: The quest for disease biomarkers |
title_fullStr | Neurophysiology in psychosis: The quest for disease biomarkers |
title_full_unstemmed | Neurophysiology in psychosis: The quest for disease biomarkers |
title_short | Neurophysiology in psychosis: The quest for disease biomarkers |
title_sort | neurophysiology in psychosis: the quest for disease biomarkers |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917164/ https://www.ncbi.nlm.nih.gov/pubmed/35277479 http://dx.doi.org/10.1038/s41398-022-01860-x |
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