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

Post-stroke flexed elbow deformity management: consensus opinion from an international Delphi expert panel.

Annals of physical and rehabilitation medicine·2026
Same author

Correction: EEG-based classification of alzheimer's disease and frontotemporal dementia using functional connectivity.

Scientific reports·2026
Same author

The electrophysiological basis of resting-state fMRI hyperconnectivity in early Alzheimer's disease.

Alzheimer's research & therapy·2026
Same author

Large-scale exome analyses reveal new rare variant contributions in amyotrophic lateral sclerosis.

Nature genetics·2026
Same author

Digenic inheritance of mutations in SPG7 and AFG3L2 causes motor neuron and cerebellar disorders.

BMC medicine·2026
Same author

Toward the Automatic Detection of Vection in Virtual Reality Using EEG.

IEEE transactions on visualization and computer graphics·2026

Related Experiment Video

Updated: Jan 8, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.5K

Visual ERP-based brain-computer interface use with severe physical, speech and eye movement impairments: case

Arne Van Den Kerchove1,2, Juliette Meunier3, Marie de Moura4

  • 1Laboratory for Neuro-and Psychophysiology, Department of Neurosciences, Leuven Brain Institute, Leuven.AI, KU Leuven, Campus Gasthuisberg, Herestraat 49 bus 1021, 3000, Leuven, Belgium. arne.vandenkerchove@kuleuven.be.

Journal of Neuroengineering and Rehabilitation
|December 21, 2025
PubMed
Summary

This study explored visual brain-computer interfaces (BCIs) for individuals with severe impairments. A gaze-independent BCI showed promise for augmentative and alternative communication (AAC) even with limited eye control.

Keywords:
Augmentative and alternative communication (AAC)Brain–computer interfaceCovert visuospatial attentionEvent-related potentialsEye motor impairment

More Related Videos

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.1K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.7K

Related Experiment Videos

Last Updated: Jan 8, 2026

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

1.5K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

3.1K
SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

13.7K

Area of Science:

  • Neuroscience
  • Assistive Technology
  • Human-Computer Interaction

Background:

  • Severe speech and physical impairments create communication barriers.
  • Visual brain-computer interfaces (BCIs) are potential assistive tools.
  • Limited eye motor control restricts current BCI usability.

Purpose of the Study:

  • Investigate a gaze-independent visual oddball BCI.
  • Assess feasibility as an augmentative and alternative communication (AAC) device.
  • Evaluate performance with limited eye motor control.

Main Methods:

  • Recruited seven participants with varying eye motor control.
  • Assessed visual oddball BCI decoding accuracy.
  • Evaluated three visuospatial attention (VSA) conditions: overt, covert, and free VSA.

Main Results:

  • Covert VSA with central fixation reduced accuracy.
  • Free VSA performance was comparable to overt VSA for some.
  • Overt VSA training may enhance BCI performance for users with gaze difficulties.

Conclusions:

  • Adaptive decoding strategies are crucial for gaze impairment.
  • Further validation in applied settings is needed.
  • BCIs can be adapted for users with limited eye control.