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

Cortical Activity Associated With Phantom Leg Movements.

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

Self-adaptive Under actuated Biomimetic Soft Robotic Hand Exoskeleton to Improve dexterity and Grasping Capabilities.

Bioinspiration & biomimetics·2026
Same author

From autonomy to alliance: Robotic foundation models must learn with us, not just for us.

Science robotics·2026
Same author

Augmented feedback as a therapeutic approach for gait rehabilitation in patients with cerebral palsy: a systematic review.

Frontiers in rehabilitation sciences·2026
Same author

Specificity of Pairing Afferent and Efferent Activity for Inducing Neural Plasticity with an Associative Brain-Computer Interface.

Sensors (Basel, Switzerland)·2026
Same author

Biomechanical Analysis of an Elite Para Standing Cross-Country Skier Using Lower Limb Prostheses: A Case Study.

Sensors (Basel, Switzerland)·2026

Related Experiment Video

Updated: Jun 4, 2025

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

247

Associative brain-computer interface training increases wrist extensor corticospinal excitability in patients with

Benjamin Svejgaard1,2,3, Boris Modrau1,2, José Jesús Hernández-Gloria4

  • 1Center for Neurotechnology and Rehabilitation, Aalborg University, Aalborg, Denmark.

Journal of Neurophysiology
|December 20, 2024
PubMed
Summary

A novel brain-computer interface (BCI) using electroencephalography (EEG) enhances corticospinal excitability in stroke patients with upper limb weakness. This associative BCI approach shows promise for improving rehabilitation outcomes.

Keywords:
brain-computer interfacecorticospinal excitabilitystroketranscranial magnetic stimulationupper limb

More Related Videos

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
14:56

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb

Published on: September 23, 2018

9.0K
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

1.1K

Related Experiment Videos

Last Updated: Jun 4, 2025

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

247
The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
14:56

The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb

Published on: September 23, 2018

9.0K
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

1.1K

Area of Science:

  • Neuroscience
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Stroke often leads to upper limb weakness, impacting daily function.
  • Current rehabilitation strategies can be enhanced by neurotechnological interventions.
  • Associative learning principles can be leveraged to improve motor recovery.

Purpose of the Study:

  • To investigate the effect of an associative brain-computer interface (BCI) on corticospinal excitability in subacute stroke patients with upper limb weakness.
  • To determine if precisely timed peripheral nerve stimulation, guided by electroencephalography (EEG), can enhance motor cortex activity.
  • To compare the effects of the associative BCI intervention with a sham control in a randomized controlled trial.

Main Methods:

  • A randomized controlled trial involving 24 subacute stroke patients with upper limb weakness.
  • An intervention group received 30 pairings of peripheral nerve stimulation timed to the movement-related cortical potential (MRCP) peak, identified via EEG.
  • A sham group received sub-perceptual stimulation, with both groups performing wrist extensions.

Main Results:

  • Patients in the associative BCI group showed significantly increased motor-evoked potential amplitudes immediately after training, indicating enhanced corticospinal excitability.
  • These improvements in corticospinal excitability persisted for at least 30 minutes post-intervention.
  • No significant changes were observed in the sham control group.

Conclusions:

  • A single session of associative BCI training significantly increases corticospinal excitability in the upper limb of stroke survivors.
  • This finding supports the potential of associative BCI as an augmentation strategy for upper limb stroke rehabilitation.
  • The study demonstrates the efficacy of EEG-guided, timed peripheral stimulation for enhancing motor cortex function in upper limb recovery.