ArticleFrontiers in human neuroscience2019
Exploring Training Effect in 42 Human Subjects Using a Non-invasive Sensorimotor Rhythm Based Online BCI.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- Exploration-based feedback for BCI training: a case study with an adolescent with paraplegia.Journal of neuroengineering and rehabilitation · 2026Article
- Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals.Scientific reports · 2026Article
- When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training.Frontiers in human neuroscience · 2025Article
- Adaptive LDA Classifier Enhances Real-Time Control of an EEG Brain-Computer Interface for Decoding Imagined Syllables.Brain sciences · 2024Article
- Tensor Decomposition Analysis of Longitudinal EEG Signals Reveals Differential Oscillatory Dynamics in Eyes-Closed and Eyes-Open Motor Imagery BCI: A Case Report.Brain sciences · 2023Article
- A Multi-Scale Temporal Convolutional Network with Attention Mechanism for Force Level Classification during Motor Imagery of Unilateral Upper-Limb Movements.Entropy (Basel, Switzerland) · 2023Article
- Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training.Frontiers in computational neuroscience · 2023Article
- A comprehensive review on motion trajectory reconstruction for EEG-based brain-computer interface.Frontiers in neuroscience · 2023Review
- Neural correlates of user learning during long-term BCI training for the Cybathlon competition.Journal of neuroengineering and rehabilitation · 2022Article
- Multimodal Neural Response and Effect Assessment During a BCI-Based Neurofeedback Training After Stroke.Frontiers in neuroscience · 2022Article
- The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training.PloS one · 2022Article
- Exploring the effects of head movements and accompanying gaze fixation switch on steady-state visual evoked potential.Frontiers in human neuroscience · 2022Article
- On the Deep Learning Models for EEG-Based Brain-Computer Interface Using Motor Imagery.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2022Article
- A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.Sensors (Basel, Switzerland) · 2021Review
- Exploring Fatigue Effects on Performance Variation of Intensive Brain-Computer Interface Practice.Frontiers in neuroscience · 2021Article
- Gymnasts' Ability to Modulate Sensorimotor Rhythms During Kinesthetic Motor Imagery of Sports Non-specific Movements Superior to Non-gymnasts.Frontiers in sports and active living · 2021Article
- Improving Motor Imagery-Based Brain-Computer Interface Performance Based on Sensory Stimulation Training: An Approach Focused on Poorly Performing Users.Frontiers in neuroscience · 2021Article
- What External Variables Affect Sensorimotor Rhythm Brain-Computer Interface (SMR-BCI) Performance?HCA healthcare journal of medicine · 2021Review
- Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces.Frontiers in human neuroscience · 2021Article
- An Online Data Visualization Feedback Protocol for Motor Imagery-Based BCI Training.Frontiers in human neuroscience · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Electroencephalography based brain-computer interfaces (BCIs) show promise of providing an alternative communication channel between the brain and an external device. It is well acknowledged that BCI control is a skill and could be improved through practice and training. In this study, we explore the change of BCI behavioral performance as well as the electrophysiological properties across three training sessions in a pool of 42 human subjects. Our results show that the group average of BCI accuracy and the information transfer rate improved significantly in the third session compared to the first session; especially the significance reached in a smaller subset of a low BCI performance group (average accuracy <70%) as well. There was a significant difference of event-related desynchronization (ERD) lateralization for BCI control between the left- and right-hand imagination task in the last two sessions, but this significant difference was not revealed in the first training sessions. No significant change of
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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.