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


Journal

Psychiatry research. Neuroimaging
ISSN: 1872-7506
Titre abrégé: Psychiatry Res Neuroimaging
Pays: Netherlands
ID NLM: 101723001

Informations de publication

Date de publication:
03 2023
Historique:
received: 17 04 2022
revised: 24 11 2022
accepted: 08 01 2023
pubmed: 23 1 2023
medline: 14 2 2023
entrez: 22 1 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36682174
pii: S0925-4927(23)00001-X
doi: 10.1016/j.pscychresns.2023.111591
pmc: PMC9837232
pii:
doi:

Types de publication

Systematic Review Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

111591

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

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Auteurs

Abhishek Uday Patil (AU)

Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices (IDS(2)B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan.

Chemin Lin (C)

Department of Psychiatry, Chang Gung Memorial Hospital, Keelung, Taiwan; College of Medicine, Chang Gung University, Taoyuan, Taiwan; Community Medicine Research Center, Chang Gung Memorial Hospital, Keelung, Taiwan.

Shwu-Hua Lee (SH)

College of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.

Hsu-Wen Huang (HW)

Department of Linguistics and Translation, City University of Hong Kong, Hong Kong.

Shun-Chi Wu (SC)

Department of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan.

Deepa Madathil (D)

Jindal Institute of Behavioural Sciences, O.P. Jindal Global University, Haryana, India. Electronic address: dmadathil@jgu.edu.in.

Chih-Mao Huang (CM)

Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, Taiwan; Center for Intelligent Drug Systems and Smart Bio-devices (IDS(2)B), National Yang Ming Chiao Tung University, Hsinchu, Taiwan. Electronic address: cmhuang40@nycu.edu.tw.

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