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Review of EEG-based neurofeedback as a therapeutic intervention to treat depression

Depression, or major depressive disorder, is a common mental disorder that affects individuals’ behavior, mood, and physical health, and its prevalence has increased during the lockdowns implemented to curb the COVID-19 pandemic. There is an urgent need to update the treatment recommendations for me...

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Autores principales: Patil, Abhishek Uday, Lin, Chemin, Lee, Shwu-Hua, Huang, Hsu-Wen, Wu, Shun-Chi, Madathil, Deepa, Huang, Chih-Mao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier B.V. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837232/
https://www.ncbi.nlm.nih.gov/pubmed/36682174
http://dx.doi.org/10.1016/j.pscychresns.2023.111591
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author Patil, Abhishek Uday
Lin, Chemin
Lee, Shwu-Hua
Huang, Hsu-Wen
Wu, Shun-Chi
Madathil, Deepa
Huang, Chih-Mao
author_facet Patil, Abhishek Uday
Lin, Chemin
Lee, Shwu-Hua
Huang, Hsu-Wen
Wu, Shun-Chi
Madathil, Deepa
Huang, Chih-Mao
author_sort Patil, Abhishek Uday
collection PubMed
description Depression, or major depressive disorder, is a common mental disorder that affects individuals’ behavior, mood, and physical health, and its prevalence has increased during the lockdowns implemented to curb the COVID-19 pandemic. There is an urgent need to update the treatment recommendations for mental disorders during such crises. Conventional interventions to treat depression include long-term pharmacotherapy and cognitive behavioral therapy. Electroencephalogram-neurofeedback (EEG-NF) training has been suggested as a non-invasive option to treat depression with minimal side effects. In this systematic review, we summarize the recent literature on EEG-NF training for treating depression. The 12 studies included in our final sample reported that despite several issues related to EEG-NF practices, patients with depression showed significant cognitive, clinical, and neural improvements following EEG-NF training. Given its low cost and the low risk of side effects due to its non-invasive nature, we suggest that EEG-NF is worth exploring as an augmented tool for patients who already receive standard medications but remain symptomatic, and that EEG-NF training may be an effective intervention tool that can be utilized as a supplementary treatment for depression. We conclude by providing some suggestions related to experimental designs and standards to improve current EEG-NF training practices for treating depression.
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spelling pubmed-98372322023-01-17 Review of EEG-based neurofeedback as a therapeutic intervention to treat depression Patil, Abhishek Uday Lin, Chemin Lee, Shwu-Hua Huang, Hsu-Wen Wu, Shun-Chi Madathil, Deepa Huang, Chih-Mao Psychiatry Res Review Article Depression, or major depressive disorder, is a common mental disorder that affects individuals’ behavior, mood, and physical health, and its prevalence has increased during the lockdowns implemented to curb the COVID-19 pandemic. There is an urgent need to update the treatment recommendations for mental disorders during such crises. Conventional interventions to treat depression include long-term pharmacotherapy and cognitive behavioral therapy. Electroencephalogram-neurofeedback (EEG-NF) training has been suggested as a non-invasive option to treat depression with minimal side effects. In this systematic review, we summarize the recent literature on EEG-NF training for treating depression. The 12 studies included in our final sample reported that despite several issues related to EEG-NF practices, patients with depression showed significant cognitive, clinical, and neural improvements following EEG-NF training. Given its low cost and the low risk of side effects due to its non-invasive nature, we suggest that EEG-NF is worth exploring as an augmented tool for patients who already receive standard medications but remain symptomatic, and that EEG-NF training may be an effective intervention tool that can be utilized as a supplementary treatment for depression. We conclude by providing some suggestions related to experimental designs and standards to improve current EEG-NF training practices for treating depression. The Author(s). Published by Elsevier B.V. 2023-03 2023-01-13 /pmc/articles/PMC9837232/ /pubmed/36682174 http://dx.doi.org/10.1016/j.pscychresns.2023.111591 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Review Article
Patil, Abhishek Uday
Lin, Chemin
Lee, Shwu-Hua
Huang, Hsu-Wen
Wu, Shun-Chi
Madathil, Deepa
Huang, Chih-Mao
Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title_full Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title_fullStr Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title_full_unstemmed Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title_short Review of EEG-based neurofeedback as a therapeutic intervention to treat depression
title_sort review of eeg-based neurofeedback as a therapeutic intervention to treat depression
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837232/
https://www.ncbi.nlm.nih.gov/pubmed/36682174
http://dx.doi.org/10.1016/j.pscychresns.2023.111591
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