ArticleFrontiers in human neuroscience2020
How Much Do Strategy Reports Tell About the Outcomes of Neurofeedback Training? A Study on the Voluntary Up-Regulation of the Sensorimotor Rhythm.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Upregulation of reward mesolimbic activity and immune response to vaccination: a randomized controlled trial.Nature medicine · 2026Trial
- Neurofeedback for Management of Musculoskeletal Pain: A Randomized Control Trial Using DOMS.Pain research & management · 2026Trial
- The Impact of Alpha-Neurofeedback Training on Gastric Slow Wave Activity and Heart Rate Variability in Humans.Neurogastroenterology and motility · 2025Trial
- Exploring electroencephalographic infraslow neurofeedback treatment for chronic low back pain: a double-blinded safety and feasibility randomized placebo-controlled trial.Scientific reports · 2023Trial
- Trial
- Design and Experimental Investigation of a Multi-Level Heartbeat Sound Feedback-Based Neurofeedback System: Neural Mechanisms.Sensors (Basel, Switzerland) · 2026Article
- Alpha power increases spontaneously during a neurofeedback session.Communications psychology · 2026Article
- Individual SMR neurofeedback responsiveness during a single session and its associations with autonomic regulation and shooting performance in elite rifle athletes.Frontiers in human neuroscience · 2026Article
- Changes in cortical beta power predict motor control flexibility, not vigor.Communications biology · 2025Article
- Functional near-infrared spectroscopy-based neurofeedback training targeting the dorsolateral prefrontal cortex induces changes in cortico-striatal functional connectivity.Scientific reports · 2024Article
- Do Miniature Eye Movements Affect Neurofeedback Training Performance? A Combined EEG-Eye Tracking Study.Applied psychophysiology and biofeedback · 2024Article
- The more, the better? Learning rate and self-pacing in neurofeedback enhance cognitive performance in healthy adults.Frontiers in human neuroscience · 2023Article
- Long-term improvements in executive functions after frontal-midline theta neurofeedback in a (sub)clinical group.Frontiers in human neuroscience · 2023Article
- Neurofeedback therapy to improve cognitive function in patients with chronic post-stroke attention deficits: a within-subjects comparison.Frontiers in human neuroscience · 2023Article
- Neurofeedback strategies in binge-eating disorder as predictors of EEG-neurofeedback regulation success.Frontiers in human neuroscience · 2023Article
- Theta Neurofeedback Training Supports Motor Performance and Flow Experience.Journal of cognitive enhancement : towards the integration of theory and practice · 2022Article
- Assessment of the capacity to modulate brain signals in a home-based SMR neurofeedback training setting.Frontiers in human neuroscience · 2022Article
- Enhancing the Effects of Neurofeedback Training: The Motivational Value of the Reinforcers.Brain sciences · 2021Article
- Differential Effects of Up- and Down-Regulation of SMR Coherence on EEG Activity and Memory Performance: A Neurofeedback Training Study.Frontiers in human neuroscience · 2020Article
- Prefrontal Asymmetry BCI Neurofeedback Datasets.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The core learning mechanisms of neurofeedback (NF) training are associative, implicit, and, consequently, largely impervious to consciousness. Many other aspects of training that determine training outcomes, however, are accessible to conscious processing. The outcomes of sensorimotor rhythm (SMR) up-regulation training are related to the strategies reported by participants. The classification methods of individual strategies employed hitherto were possibly under influence of the idiosyncratic interpretation of the rater. To measure and possibly overcome this limitation, we employed independent raters to analyze strategies reported during SMR up-regulation training. Sixty-two healthy young participants took part in a single session of SMR up-regulation training. After completing six blocks of training, in which they received either simple visual feedback or a gamified version thereof, participants were required to report the strategies employed. Their individual learning outcomes were computed as well. Results point out that individual strategies as well as NF learning outcomes were not particularly sensitive to the presence of gamified elements in training the SMR up-regulation. A high degree of consistency across independent raters classifying strategy reports was observed. Some strategies were more typical of responders while other ones were more common among non-responders. In summary, we demonstrate a more objective and transparent way to analyze individual mental strategies to shed more light on the differences between NF responders and non-responders.
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