Efficacy of neurofeedback training for improving attentional performance in healthy adults: A systematic review and meta-analysis

Author:

Kimura Ikko123,Noyama Hiroki4,Onagawa Ryoji5,Takemi Mitsuaki6,Osu Rieko7,Kawahara Jun-ichiro8

Affiliation:

1. Department of Neurology, Osaka University Graduate School of Medicine, Suita, Japan

2. Graduate School of Frontier Biosciences, Osaka University, Suita, Japan

3. Center for Information and Neural Networks (CiNet), Advanced ICT Research Institute, National Institute of Information and Communications Technology, Suita, Japan

4. Department of Precision Engineering, The University of Tokyo School of Engineering, Meguro-ku, Japan

5. Faculty of Science and Engineering, Waseda University, Shinjyuku-ku, Japan

6. Graduate School of Science and Technology, Keio University, Yokohama, Japan

7. Faculty of Human Sciences, Waseda University, Tokorozawa, Japan

8. Department of Psychology, Hokkaido University, Sapporo, Japan

Abstract

Abstract This systematic review and meta-analysis examined the neurofeedback training (NFT) effects on attentional performance in healthy adults. Six databases were searched until June 2022 to identify parallel randomized controlled trials (RCTs) evaluating attentional improvements after NFT. Risk of bias was assessed using the Cochrane Collaboration tool. We identified 41 RCTs for qualitative synthesis and 15 RCTs (569 participants) for meta-analysis. The overall NFT effect on attentional performance was significant (standardized mean difference = 0.27, 95% confidence interval = 0.10–0.44). However, no significant pooled effect was found within the trials comparing its effect with sham-NFT (eight RCTs). Additionally, variable effects were observed on individual subsets of attentional performance. Further sham-controlled RCTs are required to validate the improvement of attentional performance with NFT.

Publisher

MIT Press

Reference143 articles.

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