Evidence map›Paper›PMID 36682174›Full record

SynthesisPsychiatry research. Neuroimaging2023

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

Abhishek Uday Patil, Chemin Lin, Shwu-Hua Lee, Hsu-Wen Huang, Shun-Chi Wu, Deepa Madathil, Chih-Mao Huang

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Psychiatry research. Neuroimaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. Effectiveness of fMRI-based Neurofeedback Therapy on Depression: A Systematic Review.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025
    Review
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  18. Food science & nutrition · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 3 countries.

Abhishek Uday PatilDepartment 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 LinDepartment 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 LeeCollege of Medicine, Chang Gung University, Taoyuan, Taiwan; Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Hsu-Wen HuangDepartment of Linguistics and Translation, City University of Hong Kong, Hong Kong.
Shun-Chi WuDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu, Taiwan.
Deepa MadathilJindal Institute of Behavioural Sciences, O.P. Jindal Global University, Haryana, India. Electronic address: dmadathil@jgu.edu.in.
Chih-Mao HuangDepartment 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.
Chang Gung University · TWNational Yang Ming Chiao Tung University · TWCity University of Hong Kong · HKNational Tsing Hua University · TWO. P. Jindal Global University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19Major Depressive DisorderNeurofeedbackCommunicable Disease ControlDepressionElectroencephalographyHumansPandemicsDepressionEEGIntervention toolNeurofeedbackTherapy

Identifiers

PMID36682174
PMCPMC9837232
OpenAlexW4316038172

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.