ArticleFrontiers in psychology2018
Eyes-Closed Resting EEG Predicts the Learning of Alpha Down-Regulation in Neurofeedback Training.
Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Alpha/Theta Ratio Neurofeedback Training for Attention Enhancement in Normal Developing Children: A Brief Report.Applied psychophysiology and biofeedback · 2022Trial
- A Framework for Predicting Neurofeedback Treatment Response in ADHD Using EEG Functional Connectivity and Genetic Algorithm-Driven Channel Selection.Child psychiatry and human development · 2026Article
- Neurobehavioural Group Differences in an Indian Holistic Education Context: Mindfulness, Empathy, Values and Personality Across Gender and Academic Pathways.Annals of neurosciences · 2026Article
- Machine Learning Approaches to Evaluate EEG Correlates of Relaxation Between Supine and Sitting Postures in Eyes-closed Condition.Annals of neurosciences · 2025Article
- Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory.Cognitive, affective & behavioral neuroscience · 2024Article
- Interest of neurofeedback training for cognitive performance and risk of brain disorders in the military context.Frontiers in psychology · 2024Review
- Validation of eyes-closed resting alpha amplitude predicting neurofeedback learning of upregulation alpha activity.Scientific reports · 2021Article
- Multimodal Neuroimaging Predictors of Learning Performance of Sensorimotor Rhythm Up-Regulation Neurofeedback.Frontiers in neuroscience · 2021Article
- Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review.Frontiers in human neuroscience · 2021Review
- Neurofunctional and behavioural measures associated with fMRI-neurofeedback learning in adolescents with Attention-Deficit/Hyperactivity Disorder.NeuroImage. Clinical · 2020Article
- Brainwave Self-Regulation During Bispectral IndexFrontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurofeedback training, which enables the trainee to learn self-control of the EEG activity of interest based on online feedback, has demonstrated benefits on cognitive and behavioral performance. Nevertheless, as a core mechanism of neurofeedback, learning of EEG regulation (i.e., EEG learning) has not been well understood. Moreover, a substantial number of non-learners who fail to achieve successful EEG learning have often been reported. This study investigated the EEG learning in alpha down-regulation neurofeedback, aiming to better understand the alpha learning and to early predict learner/non-learner. Twenty-nine participants received neurofeedback training to down-regulate alpha in two days, while eight of them were identified as non-learners who failed to reduce their alpha within sessions. Through a stepwise linear discriminant analysis, a prediction model was built based on participant's eyes-closed resting EEG activities in broad frequency bands including lower alpha, theta, sigma and beta 1 measured before training, which was validated in predicting learners/non-learners. The findings would assist in the early identification of the individuals who would not likely reduce their alpha during neurofeedback.
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