ArticleFrontiers in human neuroscience2022
Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Optimizing Session Frequency in EEG Biofeedback: A Comparative Study of Protocol Dynamics and Neuromuscular Adaptation in Elite Judo Athletes.Sensors (Basel, Switzerland) · 2026Trial
- Opposing cortical forces: Alpha slowing and sensorimotor mu acceleration during motor-related BCI training.PLoS computational biology · 2026Article
- Differential modulation of sensorimotor alpha rhythms by motor imagery, electrical stimulation, and mirror visual feedback following peripheral nerve reconstruction: an EEG study.Frontiers in neurology · 2026Article
- Neurophysiological predictors of deep learning based unilateral upper limb motor imagery classification.Frontiers in human neuroscience · 2025Article
- Article
- Decoding the Debate: A Comparative Study of Brain-Computer Interface and Neurofeedback.Applied psychophysiology and biofeedback · 2024Review
- The Electroencephalographic Brainwave Spectrum, Mindful Meditation, and Awareness: Hypothesis.International journal of yogaArticle
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Significant variation in performance in motor imagery (MI) tasks impedes their wide adoption for brain-computer interface (BCI) applications. Previous researchers have found that resting-state alpha-band power is positively correlated with MI-BCI performance. In this study, we designed a neurofeedback training (NFT) protocol based on the up-regulation of the alpha band relative power (RP) to investigate its effect on MI-BCI performance. The principal finding of this study is that alpha NFT could successfully help subjects increase alpha-rhythm power and improve their MI-BCI performance. An individual difference was also found in this study in that subjects who increased alpha power more had a better performance improvement. Additionally, the functional connectivity (FC) of the frontal-parietal (FP) network was found to be enhanced after alpha NFT. However, the enhancement failed to reach a significant level after multiple comparisons correction. These findings contribute to a better understanding of the neurophysiological mechanism of cognitive control through alpha regulation.
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