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

Neuronal mechanisms underlying control of a brain-computer interface.

Thilo Hinterberger1, Ralf Veit, Barbara Wilhelm

  • 1Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Gartenstrasse 29, D-72074 Tübingen, Germany. thilo.hinterberger@uni-tuebingen.de

The European Journal of Neuroscience
|June 28, 2005
PubMed
Summary

Brain-computer interfaces (BCIs) use brain signals for control. Learning to regulate slow cortical potentials (SCPs) activates basal ganglia and thalamus, suggesting a cortico-striatal-thalamic loop is key for BCI skill.

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

[Pioneering trials in ophthalmology-From clinical trials to guideline treatment].

Die Ophthalmologie·2026
Same author

Skill learning: Motor expertise may bloom across moments of rest.

Current biology : CB·2026
Same author

Detecting sleepiness in seasonal depression using the pupillary unrest index (PUI): Associations with actigraphic sleep behavior.

Journal of affective disorders·2026
Same author

Uncovering attempted movements of the paralyzed upper limb after stroke through EEG and EMG.

Journal of neuroengineering and rehabilitation·2025
Same author

Chromatic pupil campimetry as objective diagnostic tool for progressive optic neuropathies.

Documenta ophthalmologica. Advances in ophthalmology·2025
Same author

Optimizing latency calculation for robust evaluation of the pupillary light response in chromatic pupillography.

Documenta ophthalmologica. Advances in ophthalmology·2025

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Cognitive Science

Background:

  • Brain-computer interfaces (BCIs) translate brain signals into commands, bypassing muscle activity.
  • Self-regulation of slow cortical potentials (SCPs) is a trainable BCI skill, but its neural basis is unclear.
  • Understanding SCP regulation mechanisms is crucial for advancing BCI technology.

Purpose of the Study:

  • To identify brain regions involved in the self-regulation of slow cortical potentials (SCPs) for BCI use.
  • To elucidate the neural mechanisms underlying the acquisition of BCI control skills.
  • To investigate the relationship between SCP regulation and brain activity patterns.

Main Methods:

  • Combined electroencephalography (EEG) with functional magnetic resonance imaging (fMRI) in 12 healthy participants.

Related Experiment Videos

  • Participants trained to regulate their SCPs using real-time feedback and reinforcement.
  • Analyzed blood oxygen level-dependent (BOLD) responses in relation to successful SCP regulation (positive vs. negative shifts).
  • Main Results:

    • Successful positive SCP shifts correlated with increased BOLD response in the basal ganglia.
    • Successful negative SCP shifts correlated with increased BOLD response in the thalamus.
    • Identified activation patterns suggesting a role for the cortico-striatal-thalamic loop in SCP self-regulation.

    Conclusions:

    • Learned regulation of SCPs involves modulating cortical excitation thresholds via the cortico-basal ganglia-thalamic circuit.
    • This neural circuit's flexibility is critical for effective BCI operation.
    • Findings provide insights into the neural underpinnings of BCI skill acquisition and performance.