Effects of EEG neurofeedback and training interventions on golf putting performance: a systematic review and meta-analysis
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: = -1.92) showed significant negative effects. Non-EEG training interventions also exhibited positive effects on putting performance, with skill practice-based interventions showing comparable efficacy to effective EEG-NFT protocols in novice golfers. 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).
Authors
- Baohua Liu (ORCID: https://orcid.org/0000-0002-0376-153X)
- Chao Liu
- Heng Liu
- Fuyi Liu
- Zhenjun Li
Institutions
- Loughborough University (GB)
- Tianjin University of Sport (CN)
- Zhuhai Institute of Advanced Technology (CN)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2026-04-23
- DOI
- https://doi.org/10.3389/fpsyg.2026.1736851
- Primary Topic
- Sports Dynamics and Biomechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00