Evidence map›Paper›PMID 42111570›Full record

SynthesisFrontiers in psychology2026

Effects of EEG neurofeedback and training interventions on golf putting performance: a systematic review and meta-analysis.

Zhenjun Li, Heng Liu, Chao Liu, Fuyi Liu, Baohua Liu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Zhenjun LiSchool of Tourism and Public Administration, Zhuhai College of Science and Technology, Zhuhai, China.
Heng LiuSchool of Sports Training, Tianjin University of Sport, Tianjin, China.
Chao LiuSchool of Sports Training, Tianjin University of Sport, Tianjin, China.
Fuyi LiuSchool of Sport, Exercise and Health Sciences, Loughborough University, Leicestershire, United Kingdom.
Baohua LiuSchool of Social Sports, Tianjin University of Sport, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Electroencephalography neurofeedback (EEG-NFT) is used to modulate brain function to enhance golf putting performance. However, the effectiveness of EEG-NFT and its relationship with non-EEG training interventions in improving putting performance remain unclear. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and the International Prospective Register of Systematic Reviews (PROSPERO) registration (CRD420251068586), this study systematically searched multiple databases up to 8 June 2025. Randomized controlled trials (RCTs) investigating EEG-NFT and other training interventions for golf putting were included. The meta-analyses employed random-effects models, with subgroup analyses conducted to examine moderators. Results: A total of 12 RCTs involving 424 participants were included. The overall analysis revealed a significant positive effect on putting performance (standardized mean difference, Conclusion: EEG-NFT can enhance putting performance, but success requires precise protocol selection aligned with skill level and neural targets. Cz-SMR enhancement appears to be reliable, whereas non-specific suppression may be detrimental. Future research should establish standardized protocols and conduct larger RCTs to validate these findings. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=1068586, identifier (CRD420251068586).

Indexed as

electroencephalographygolfmeta-analysisneurofeedbackputting performance

Identifiers

PMID42111570
PMCPMC13149423

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.