ArticleFrontiers in human neuroscience2019
Progressive Training for Motor Imagery Brain-Computer Interfaces Using Gamification and Virtual Reality Embodiment.
Article in Frontiers in human neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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Who cites it
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- EEG biomarkers of the sense of embodiment: methodological gaps and evidence-based recommendations from a systematic review.Frontiers in systems neuroscience · 2026Pooled it
- A lower-limb motor imagery BCI using virtual reality and novel calibration strategy in post-stroke patients.Medical & biological engineering & computing · 2026Article
- Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals.Scientific reports · 2026Article
- Acute Exercise-Induced Epinephrine Elevation Promotes Post-Learning Memory Consolidation: A Narrative Review of Mechanisms and Implementation Strategies.Life (Basel, Switzerland) · 2025Review
- Playful Antisedentary Interactions for Online Meeting Scenarios: A Research Through Design Approach.JMIR serious games · 2025Article
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- Vivid illusions and realtime feedback in VR-improved motor imagery and motivation of stroke patients with impaired motor imagery.Frontiers in neurology · 2025Article
- When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training.Frontiers in human neuroscience · 2025Article
- Hybrid brain-computer interface using error-related potential and reinforcement learning.Frontiers in human neuroscience · 2025Article
- Identifying EEG biomarkers of sense of embodiment in virtual reality: insights from spatio-spectral features.Frontiers in neuroergonomics · 2025Article
- Utility of Electroencephalograms for Enhancing Clinical Care and Rehabilitation of Children with Acquired Brain Injury.International journal of environmental research and public health · 2024Review
- [Virtual reality-brain computer interface hand function enhancement rehabilitation system incorporating multi-sensory stimulation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Improved motor imagery training for subject's self-modulation in EEG-based brain-computer interface.Frontiers in human neuroscience · 2024Article
- Train vs. Play: Evaluating the Effects of Gamified and Non-Gamified Wheelchair Skills Training Using Virtual Reality.Bioengineering (Basel, Switzerland) · 2023Article
- Commercial device-based hand rehabilitation systems for stroke patients: State of the art and future prospects.Heliyon · 2023Review
- Establishing a Clinical Brain-Computer Interface Program for Children With Severe Neurological Disabilities.Cureus · 2022Article
- The Effects of Sensory Threshold Somatosensory Electrical Stimulation on Users With Different MI-BCI Performance.Frontiers in neuroscience · 2022Article
- Embodiment Comfort Levels During Motor Imagery Training Combined With Immersive Virtual Reality in a Spinal Cord Injury Patient.Frontiers in human neuroscience · 2022Article
- Development of a Guidance System for Motor Imagery Enhancement Using the Virtual Hand Illusion.Sensors (Basel, Switzerland) · 2021Article
- A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.Sensors (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents a gamified motor imagery brain-computer interface (MI-BCI) training in immersive virtual reality. The aim of the proposed training method is to increase engagement, attention, and motivation in co-adaptive event-driven MI-BCI training. This was achieved using gamification, progressive increase of the training pace, and virtual reality design reinforcing body ownership transfer (embodiment) into the avatar. From the 20 healthy participants performing 6 runs of 2-class MI-BCI training (left/right hand), 19 were trained for a basic level of MI-BCI operation, with average peak accuracy in the session = 75.84%. This confirms the proposed training method succeeded in improvement of the MI-BCI skills; moreover, participants were leaving the session in high positive affect. Although the performance was not directly correlated to the degree of embodiment, subjective magnitude of the body ownership transfer illusion correlated with the ability to modulate the sensorimotor rhythm.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.