Evidence map›Paper›PMID 40949716›Full record

SynthesisFrontiers in human neuroscience2025

Systematic review and meta-analysis of the relationships between real-time neurofeedback training parameters and acquisition of neural modulation.

Eldrick V Galang, Miguel A Velásquez, Dehan Elcin, Samantha O'Connell, Julian Wieck, Savannah McNair, Paul J Colombo

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in human neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Neurofeedback for functional neurological disorders: future directions for research and clinical practice.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
    Review
  2. Article
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.

Eldrick V Galang *Department of Cognitive Science, School of Social Sciences, University of California, San Diego, San Diego, CA, United States.
Miguel A Velásquez *Department of Psychology, School of Science and Engineering, Tulane University, New Orleans, LA, United States.
Dehan ElcinDepartment of Psychology, School of Science and Engineering, Tulane University, New Orleans, LA, United States.
Samantha O'ConnellDepartment of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States.
Julian WieckSchool of Human Sciences and Humanities, Department of Psychological and Behavioral Health Sciences, University of Houston - Clear Lake, Houston, TX, United States.
Savannah McNairDepartment of Human Development and Quantitative Methodology, College of Education, University of Maryland, College Park, MD, United States.
Paul J ColomboDepartment of Psychology, School of Science and Engineering, Tulane University, New Orleans, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Real-time neurofeedback is an emerging method for regional modulation of neural activity with physiological and behavioral effects that persist beyond the duration of feedback sessions. However, many individuals fail to achieve successful modulation, a challenge known as the "neurofeedback inefficacy problem." This study examined how methodological parameters of neurofeedback training influence the acquisition and retention of neural modulation in healthy adults. Methods: A systematic search identified eligible studies, resulting in 55 participant groups included in the meta-analysis. Standardized mean differences (Hedges' g) were calculated for changes in neural activity from first to last session and from pre- to post-training. Subgroup analyses and meta-regression were conducted to assess the impact of discrete and continuous moderators. Results: This meta-analysis identified four parameters associated with significant neural modulation in the desired direction: the neurofeedback imaging device used, complexity of the feedback stimulus, presence of a pre-training rehearsal trial, and EEG target oscillations. Discussion: This meta-analysis highlights key methodological factors that shape neurofeedback efficacy in non-clinical populations. Findings may serve to better understand how methodological variables used in neurofeedback influence the acquisition and retention of neural modulation. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42022357160, identifier: CRD42022357160.

Indexed as

biofeedbackbrain-computer interfacecognitive controlmeta-analysisneural plasticityneurofeedback

Identifiers

PMID40949716
PMCPMC12426165

What Socratic holds

Textmetadata
LicenceCC BY
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.