Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Regulatory measures for mitigating physical and mental health impacts in aerospace environment: A systematic review.

Life sciences in space research·2025
Same author

Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset.

Scientific data·2025
Same author

Corrigendum to "Sendai virus-based immunoadjuvant in hydrogel vaccine intensity-modulated dendritic cells activation for suppressing tumorigenesis" [Bioact. Mater. 6 (2021) 3879-3891].

Bioactive materials·2025
Same author

Enhanced theta oscillations in the left temporoparietal region associated with refractory positive symptoms in schizophrenia.

Schizophrenia (Heidelberg, Germany)·2025
Same author

Cortical changes induced by increased cognitive task difficulty during dual task balancing correlate with postural instability in elders and patients with Parkinson's disease.

Journal of neural engineering·2025
Same author

SEEG Emotion Recognition Based on Transformer Network With Channel Selection and Explainability.

IEEE journal of biomedical and health informatics·2025
Same journal

Quantifying the dynamics that link leg tendon vibration to induced periodic postural oscillations in young subjects Differential effects of light touch on the induced sway.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Adaptive Biarticular Exosuit Assistance for Faster and More Efficient Walking.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

GaitNet: Transfer Learning-Enhanced CNN-GRU Architecture for Intention Detection in Healthy and Post-Stroke Participants.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Toward Sensor Fusion Neuromuscular Interface for Continuous Finger Joint Angle Estimation via Deep Transfer Learning.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Feasibility of a Center of Mass Based Fuzzy-Logic Phase Detection Algorithm for Post-Spinal Cord Injury Gait.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same journal

Ultrasound-Derived Stretch Reflex Threshold Estimation Using Tendon-to-Bone Distance During Tendon Tapping in Post-Stroke Spasticity.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
See all related articles
  1. Home
  3. Adaptive Neurofeedback Training Using A Virtual Reality Game Enhances Motor Imagery Performance In Brain-computer Interfaces.
  1. Home
  3. Adaptive Neurofeedback Training Using A Virtual Reality Game Enhances Motor Imagery Performance In Brain-computer Interfaces.

Related Experiment Video

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
10:14

Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

Published on: May 10, 2024

1.2K

Adaptive Neurofeedback Training Using a Virtual Reality Game Enhances Motor Imagery Performance in Brain-Computer

Kun Wang, Yuwei Liu, Feifan Tian

    IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
    |July 28, 2025

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    Adaptive neurofeedback training (NFT) using virtual reality (VR) games enhances motor rehabilitation. This VR-based approach improves brain signal activation and classification accuracy while reducing training time, offering a promising alternative to traditional methods.

    More Related Videos

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    546.7K
    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
    09:42

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

    Published on: September 1, 2023

    1.5K

    Related Experiment Videos

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality
    10:14

    Author Spotlight: Enhancing Neurorehabilitation Through EEG, Motor Imagery, and Virtual Reality

    Published on: May 10, 2024

    1.2K
    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another
    05:12

    Using Virtual Reality to Transfer Motor Skill Knowledge from One Hand to Another

    Published on: September 18, 2017

    546.7K
    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients
    09:42

    Author Spotlight: Using Motor Imagery Brain-Computer Interface to Improve Motor and Cognitive Function in Stroke Patients

    Published on: September 1, 2023

    1.5K

    Area of Science:

    • Neuroscience
    • Rehabilitation Medicine
    • Human-Computer Interaction

    Background:

    • Neurofeedback training (NFT) is utilized in motor rehabilitation.
    • Combining NFT with motor imagery-based brain-computer interfaces (MI-BCI) presents challenges like mental fatigue and non-personalized strategies.

    Purpose of the Study:

    • To propose and evaluate an adaptive NFT system integrated with a VR game for enhanced motor rehabilitation efficiency.
    • To compare the effectiveness of VR-based adaptive NFT against traditional Graz-based NFT.

    Main Methods:

    • Forty-eight healthy subjects participated in a five-day study, assigned to different NFT protocols (VR vs. Graz-based, unilateral vs. bilateral).
    • EEG features and classification performance were analyzed to assess training effects.
  • Online recognition duration was used to evaluate the adaptive NFT strategy.

    • Main Results:

    • VR-based NFT significantly improved Event-related desynchronization (ERD) in sensorimotor cortices.
    • The VR-based NFT group achieved 81.85% classification accuracy, a 10.14% improvement, outperforming the Graz-based NFT group's 6.43% increase.
    • Adaptive NFT strategy reduced mean task duration by over 30% compared to fixed-time protocols.

    Conclusions:

    • Adaptive MI-BCI-based NFT within a VR game setting yields superior training outcomes and reduced duration.
    • This approach shows significant potential for motor rehabilitation, particularly for stroke patients.