Evidence map›Paper›PMID 34776024›Full record

SynthesisPsychological medicine2022

Efficacy of bio- and neurofeedback for depression: a meta-analysis.

J Fernández-Alvarez, M Grassi, D Colombo, C Botella, P Cipresso, G Perna, G Riva

2 registry-linked trialsOpen access · hybridAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Psychological medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
5.0field-weighted citation impact, top 4% 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.

NCT05936697 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Neurofeedback Training to Improve Prefrontal Functioning in Older Adults With Subclinical Depression and Anxiety: a Randomised Control Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2023 to 2024Enrolled90ConditionsDepression, AnxietyArmsfNIRS, EEG, Baseline Training
NCT07149974 naenrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Developing an EEG-fNIRS Neurofeedback Application for Brain Training for Autistic Children

TypeinterventionalSponsorEducation University of Hong KongRan2025 to 2026Enrolled30ConditionsAutism, Autistic Disorders Spectrum, Neurofeedback, EEGArmsEEG and fNIRS, EEG, fNIRS
3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

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  13. Comparisons of Virtual Reality-based vs. Conventional Biofeedback for Panic Symptoms: A Randomized Controlled Study.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
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  20. Neurofeedback in Major Depression.Advances in experimental medicine and biology · 2026
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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 4 countries.

J Fernández-AlvarezDepartment of Psychology, Catholic University of the Sacred Heart, Milan, Italy.
M GrassiDepartment of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy.
D ColomboDepartment of Basic Psychology, Clinic and Psychobiology, Universitat Jaume I, Castellón, Spain.
C BotellaCiber Fisiopatología Obesidad y Nutrición, CB06/03 Instituto Salud Carlos III, Madrid, Spain.
P CipressoApplied Technology for Neuro-Psychology Lab, IRCCS Istituto Auxologico Italiano, Milan, Italy.
G PernaDepartment of Clinical Neurosciences, Hermanas Hospitalarias, Villa San Benedetto Menni Hospital, FoRiPsi, Albese con Cassano, Como, Italy.
G RivaDepartment of Psychology, Catholic University of the Sacred Heart, Milan, Italy.
Humanitas University · ITUniversitat Jaume I · ESInstituto de Salud Carlos III · ESIRCCS Istituto Auxologico Italiano · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor many years, biofeedback and neurofeedback have been implemented in the treatment of depression. However, the effectiveness of these techniques on depressive symptomatology is still controversial. Hence, we conducted a meta-analysis of studies extracted from PubMed, Scopus, Web of Science and Embase.

methodsTwo different strings were considered for each of the two objectives of the study: A first group comprising studies patients with major depressive disorder (MDD) and a second group including studies targeting depressive symptomatology reduction in other mental or medical conditions.

resultsIn the first group of studies including patients with MDD, the within-group analyses yielded an effect size of Hedges' g = 0.717, while the between-group analysis an effect size of Hedges' g = 1.050. Moderator analyses indicate that treatment efficacy is only significant when accounting for experimental design, in favor of randomized controlled trials (RCTs) in comparison to non RCTs, whereas the type of neurofeedback, trial design, year of publication, number of sessions, age, sex and quality of study did not influence treatment efficacy. In the second group of studies, a small but significant effect between groups was found (Hedges' g = 0.303) in favor of bio- and neurofeedback against control groups. Moderator analyses revealed that treatment efficacy was not moderated by any of the sociodemographic and clinical variables.

conclusionsHeart rate variability (HRV) biofeedback and neurofeedback are associated with a reduction in self-reported depression. Despite the fact that the field has still a large room for improvement in terms of research quality, the results presented in this study suggests that both modalities may become relevant complementary strategies for the treatment of MDD and depressive symptomatology in the coming years.

Indexed as

Major Depressive DisorderNeurofeedbackDepressionHeart RateHumansTreatment OutcomebiofeedbackDepressionfMRI neurofeedbackheart rate variabilityheart rate variability biofeedbackmeta-analysisneurofeedback

Identifiers

PMID34776024
PMCPMC8842225
OpenAlexW3164580473

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.