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 Videos

Patients with ALS can use sensorimotor rhythms to operate a brain-computer interface.

A Kübler1, F Nijboer, J Mellinger

  • 1Institute of Medical Psychology and Behavioral Neurobiology, Eberhard-Karls University Tübingen, Tübingen, Germany.

Neurology
|May 25, 2005
PubMed
Summary

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

17.6% of patients in a German cohort with exocrine pancreatic cancer were diagnosed with a genetic tumor syndrome-a case for universal genetic testing?

ESMO gastrointestinal oncology·2026
Same author

Recording the tactile P300 with the cEEGrid for potential use in a brain-computer interface.

Frontiers in human neuroscience·2024
Same author

Leaning in and moving forward: a call to action and review of diversity initiatives in SAGES.

Surgical endoscopy·2024
Same author

Comprehensive cancer predisposition testing within the prospective MASTER trial identifies hereditary cancer patients and supports treatment decisions for rare cancers.

Annals of oncology : official journal of the European Society for Medical Oncology·2022
Same author

Identifying potential training factors in a vibrotactile P300-BCI.

Scientific reports·2022
Same author

Stimulus modality influences session-to-session transfer of training effects in auditory and tactile streaming-based P300 brain-computer interfaces.

Scientific reports·2020

Brain-computer interfaces (BCIs) enable communication for individuals with severe motor disabilities like ALS. Sensorimotor rhythm-based BCIs show promise for improving quality of life in these patients.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Medicine

Background:

  • Severe motor disabilities, such as those caused by Amyotrophic Lateral Sclerosis (ALS), significantly impair communication and quality of life.
  • Traditional communication methods often rely on muscle control, rendering them inaccessible for severely disabled individuals.
  • Brain-computer interfaces (BCIs) offer a potential alternative by bypassing the need for motor output.

Purpose of the Study:

  • To investigate the feasibility of using a sensorimotor rhythm-based Brain-computer interface (BCI) for communication in individuals with severe motor disabilities.
  • To assess the potential of BCIs to improve the quality of life for patients with Amyotrophic Lateral Sclerosis (ALS).

Main Methods:

  • Four participants with severe motor disabilities due to ALS were recruited.

Related Experiment Videos

  • Electroencephalography (EEG) rhythms were recorded over the sensorimotor cortex.
  • Participants learned to operate a BCI system utilizing these EEG signals.

    • Main Results:

    • All four participants successfully learned to operate the sensorimotor rhythm-based BCI.
    • The BCI system provided a means of communication independent of muscle control.
    • The ability to communicate via BCI suggested a potential for enhanced quality of life.

    Conclusions:

    • Sensorimotor rhythm-based BCIs are a viable communication tool for individuals with severe motor disabilities, including ALS.
    • These BCIs can help restore communication, thereby improving the quality of life for patients.
    • Further research into BCI technology is warranted to expand its application in assistive communication.