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Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review
Electroencephalography (EEG) measures the brain's electrical activity with high temporal resolution. In comparison to neuroimaging modalities such as MRI or PET, EEG is relatively cheap, non-invasive, portable, and simple to administer, making it an attractive tool for clinical deployment. Desp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365146/ https://www.ncbi.nlm.nih.gov/pubmed/34408681 http://dx.doi.org/10.3389/fpsyt.2021.703398 |
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author | Zaboski, Brian A. Stern, Elisa F. Skosnik, Patrick D. Pittenger, Christopher |
author_facet | Zaboski, Brian A. Stern, Elisa F. Skosnik, Patrick D. Pittenger, Christopher |
author_sort | Zaboski, Brian A. |
collection | PubMed |
description | Electroencephalography (EEG) measures the brain's electrical activity with high temporal resolution. In comparison to neuroimaging modalities such as MRI or PET, EEG is relatively cheap, non-invasive, portable, and simple to administer, making it an attractive tool for clinical deployment. Despite this, studies utilizing EEG to investigate obsessive-compulsive disorder (OCD) are relatively sparse. This contrasts with a robust literature using other brain imaging methodologies. The present review examines studies that have used EEG to examine predictors and correlates of response in OCD and draws tentative conclusions that may guide much needed future work. Key findings include a limited literature base; few studies have attempted to predict clinical change from EEG signals, and they are confounded by the effects of both pharmacotherapy and psychotherapy. The most robust literature, consisting of several studies, has examined event-related potentials, including the P300, which several studies have reported to be abnormal at baseline in OCD and to normalize with treatment; but even here the literature is quite heterogeneous, and more work is needed. With more robust research, we suggest that the relatively low cost and convenience of EEG, especially in comparison to fMRI and PET, make it well-suited to the development of feasible personalized treatment algorithms. |
format | Online Article Text |
id | pubmed-8365146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83651462021-08-17 Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review Zaboski, Brian A. Stern, Elisa F. Skosnik, Patrick D. Pittenger, Christopher Front Psychiatry Psychiatry Electroencephalography (EEG) measures the brain's electrical activity with high temporal resolution. In comparison to neuroimaging modalities such as MRI or PET, EEG is relatively cheap, non-invasive, portable, and simple to administer, making it an attractive tool for clinical deployment. Despite this, studies utilizing EEG to investigate obsessive-compulsive disorder (OCD) are relatively sparse. This contrasts with a robust literature using other brain imaging methodologies. The present review examines studies that have used EEG to examine predictors and correlates of response in OCD and draws tentative conclusions that may guide much needed future work. Key findings include a limited literature base; few studies have attempted to predict clinical change from EEG signals, and they are confounded by the effects of both pharmacotherapy and psychotherapy. The most robust literature, consisting of several studies, has examined event-related potentials, including the P300, which several studies have reported to be abnormal at baseline in OCD and to normalize with treatment; but even here the literature is quite heterogeneous, and more work is needed. With more robust research, we suggest that the relatively low cost and convenience of EEG, especially in comparison to fMRI and PET, make it well-suited to the development of feasible personalized treatment algorithms. Frontiers Media S.A. 2021-08-02 /pmc/articles/PMC8365146/ /pubmed/34408681 http://dx.doi.org/10.3389/fpsyt.2021.703398 Text en Copyright © 2021 Zaboski, Stern, Skosnik and Pittenger. 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 Zaboski, Brian A. Stern, Elisa F. Skosnik, Patrick D. Pittenger, Christopher Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title | Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title_full | Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title_fullStr | Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title_full_unstemmed | Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title_short | Electroencephalographic Correlates and Predictors of Treatment Outcome in OCD: A Brief Narrative Review |
title_sort | electroencephalographic correlates and predictors of treatment outcome in ocd: a brief narrative review |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365146/ https://www.ncbi.nlm.nih.gov/pubmed/34408681 http://dx.doi.org/10.3389/fpsyt.2021.703398 |
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