bioRxivNeuroscience
Effects of Neurofeedback training on performance in laboratory tasks: A systematic review
Payton Chiasson, Maeve R. BoylaniD, Mina ElhamiasliD, Joseph PruittiD, Saurabh RanjaniD, Kierstin M. RielsiD, Ashish Kumar SahooiD, Arash MirifariD, Andreas KeiliD
Abstract
Neurofeedback procedures are attracting increasing attention in the neuroscience community. Based on the principle that participants, through suitable feedback, may learn to affect specific aspects of their brain activity, neurofeedback has been applied to basic research, translational, and clinical science alike. A large segment of the extant empirical research as well as review articles have focused on the extent to which neurofeedback interventions affect mental health outcomes, cognitive capacity, aging, and other complex behaviors. Another segment has aimed to characterize the extent to which neurofeedback affects the targeted neural processes. At this time, there is no current systematic review of the effects of neurofeedback on healthy participants performance in experimental tasks. Such a review is relevant in this rapidly evolving field because changes in experimental task performance are traditionally considered a hallmark of changing neurocognitive processes, often established in neurotypical individuals. This systematic review addresses this gap in the literature using the PRISMA method, building on earlier reviews on the same topic. Empirical studies using EEG or fMRI to alter brain processes linked to established, well-defined cognitive and affective laboratory tasks were reviewed. Substantial variability was found regarding the nature of the control for placebo effects, the implementation of the feedback, and the neural targets of feedback. Importantly, only a minority of the studies reported statistically meaningful effects of neurofeedback on performance in cognitive and affective tasks. Examining effect sizes and p-values in a subset of studies found no evidence for reporting bias, while also not finding systematic relations between study characteristics such as sample size or experimental control on the one hand and efficacy on the other. Implications for future work are discussed.
- Citations
- 18
- FWCI
- 0.45
- Field percentile
- 43th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Efficacy of neurofeedback training for improving attentional performance in healthy adults: A systematic review and meta-analysis
Ikko Kimura, Hiroki Noyama, … Jun‐ichiro Kawahara·Imaging NeurosciencePeer-reviewed·Dec 4, 2023
- Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis
Amelie Haugg, Fabian M. Renz, … David Steyrl·bioRxiv·Oct 21, 2020
- Neural Mechanisms of Feedback Processing and Regulation Recalibration during Neurofeedback Training
Gustavo Santo Pedro Pamplona, Jana Zweerings, … Frank Scharnowski·Human Brain MappingPeer-reviewed·Jul 1, 2025
- Neurofeedback training for improving motor performance in healthy adults: A systematic review and meta-analysis
Ryoji Onagawa, Yoshihito Muraoka, … Mitsuaki Takemi·NeuroImagePeer-reviewed·Mar 2, 2023
- Can we predict real-time fMRI neurofeedback learning success from pre-training brain activity?
Amelie Haugg, Ronald Sladky, … Frank Scharnowski·Human Brain MappingPeer-reviewed·Jul 30, 2020
- Mindfulness-based Neurofeedback: A Systematic Review of EEG and fMRI studies
Isaac N. Treves, Keara D. Greene, … Randy Patrick Auerbach·Imaging NeurosciencePeer-reviewed·Jan 1, 2024