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- Publisher Website: 10.1016/j.pscychresns.2023.111591
- Scopus: eid_2-s2.0-85146673259
- PMID: 36682174
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Article: 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 |
|---|---|
| Authors | |
| Keywords | Depression EEG Intervention tool Neurofeedback Therapy |
| Issue Date | 2023 |
| Citation | Psychiatry Research Neuroimaging, 2023, v. 329, article no. 111591 How to Cite? |
| Abstract | 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. |
| Persistent Identifier | http://hdl.handle.net/10722/363510 |
| ISSN | 2023 Impact Factor: 2.1 2023 SCImago Journal Rankings: 0.797 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Patil, Abhishek Uday | - |
| dc.contributor.author | Lin, Chemin | - |
| dc.contributor.author | Lee, Shwu Hua | - |
| dc.contributor.author | Huang, Hsu Wen | - |
| dc.contributor.author | Wu, Shun Chi | - |
| dc.contributor.author | Madathil, Deepa | - |
| dc.contributor.author | Huang, Chih Mao | - |
| dc.date.accessioned | 2025-10-10T07:47:25Z | - |
| dc.date.available | 2025-10-10T07:47:25Z | - |
| dc.date.issued | 2023 | - |
| dc.identifier.citation | Psychiatry Research Neuroimaging, 2023, v. 329, article no. 111591 | - |
| dc.identifier.issn | 0925-4927 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/363510 | - |
| dc.description.abstract | 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. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Psychiatry Research Neuroimaging | - |
| dc.subject | Depression | - |
| dc.subject | EEG | - |
| dc.subject | Intervention tool | - |
| dc.subject | Neurofeedback | - |
| dc.subject | Therapy | - |
| dc.title | Review of EEG-based neurofeedback as a therapeutic intervention to treat depression | - |
| dc.type | Article | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1016/j.pscychresns.2023.111591 | - |
| dc.identifier.pmid | 36682174 | - |
| dc.identifier.scopus | eid_2-s2.0-85146673259 | - |
| dc.identifier.volume | 329 | - |
| dc.identifier.spage | article no. 111591 | - |
| dc.identifier.epage | article no. 111591 | - |
| dc.identifier.eissn | 1872-7506 | - |
