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 Experiment Video

Updated: Jun 21, 2026

Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

Changes in EEG Behavior through Feedback Presentation.

Ricardo Ron-Angevin1

  • 1Dpto. Tecnología Electrónica, Universidad de Málaga, Spain.

Studies in Health Technology and Informatics
|July 14, 2009
PubMed
Summary
This summary is machine-generated.

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

Evaluation of video background and stimulus transparency in a visual ERP-based BCI under RSVP.

Medical & biological engineering & computing·2026
Same author

Impact of stimulus presentation speed in a visual ERP-based BCI under RSVP.

Cognitive neurodynamics·2025
Same author

Evaluation of Different Types of Stimuli in an Event-Related Potential-Based Brain-Computer Interface Speller under Rapid Serial Visual Presentation.

Sensors (Basel, Switzerland)·2024
Same author

Influence of spatial frequency in visual stimuli for cVEP-based BCIs: evaluation of performance and user experience.

Frontiers in human neuroscience·2023
Same author

Evaluation of Single-Trial Classification to Control a Visual ERP-BCI under a Situation Awareness Scenario.

Brain sciences·2023
Same author

Comparison of Two Paradigms Based on Stimulation with Images in a Spelling Brain-Computer Interface.

Sensors (Basel, Switzerland)·2023
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
See all related articles

This study shows that virtual reality training improves brain-computer interface (BCI) control by enhancing electroencephalographic (EEG) signal regulation. Feedback presentation in a familiar virtual environment significantly reduces classification errors for BCI users.

Area of Science:

  • Neuroscience
  • Human-Computer Interaction
  • Biomedical Engineering

Background:

  • Brain-computer interface (BCI) performance relies heavily on users' ability to control their electroencephalographic (EEG) signals.
  • Effective training and visual feedback are crucial for mastering EEG control in BCI systems.

Purpose of the Study:

  • To investigate methods for enhancing EEG control through optimized feedback presentation.
  • To evaluate the efficacy of a virtual reality-based BCI training system.

Main Methods:

  • Eighteen untrained subjects participated, divided into two groups.
  • A virtual reality BCI system was employed, simulating a car control scenario to avoid obstacles.
  • Different obstacle types were presented to each group during training.

More Related Videos

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Related Experiment Videos

Last Updated: Jun 21, 2026

Performing Behavioral Tasks in Subjects with Intracranial Electrodes
12:10

Performing Behavioral Tasks in Subjects with Intracranial Electrodes

Published on: October 2, 2014

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
07:05

A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

Published on: August 24, 2017

Main Results:

  • Significant differences in classification error rates were observed between the two groups.
  • These differences were particularly notable during the final second of the feedback period, indicating improved control.

Conclusions:

  • Virtual reality environments can facilitate more intuitive and effective BCI training.
  • The type of feedback presented significantly impacts the learning curve and performance in EEG-based BCI control.