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

Comparison of neuropsychological side effects between contemporary radiofrequency ablative neurosurgery for psychiatric disorders and conventional neurosurgical procedures: systematic review and meta-analysis.

Journal of neurology, neurosurgery, and psychiatry·2026
Same author

Two-Week Interval Hypofractionated Stereotactic Radiosurgery for Benign Intracranial Tumors: Volumetric Kinetics and Radiobiological Rationale.

Cancers·2026
Same author

From Ablation to Neuromodulation Platform: The Evolving Role of Magnetic Resonance-Guided Focused Ultrasound in Functional Neurosurgery.

Journal of clinical neurology (Seoul, Korea)·2026
Same author

Intraoperative computed tomography-guided neuronavigation for radiofrequency rhizotomy in trigeminal neuralgia: optimizing cannulation trajectories for individual anatomy.

Pain medicine (Malden, Mass.)·2025
Same author

Anatomical Location of the Segmental Spinal Arteries in the Cervical Intervertebral Foramina: 3D-Micro CT Findings Relevant to Transforaminal Epidural Injection.

Journal of pain research·2025
Same author

Implantable Soft Neural Electrodes of Liquid Metals for Deep Brain Stimulation.

ACS nano·2025

Related Experiment Video

Updated: Aug 12, 2025

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.2K

Somatosensory ECoG-based brain-machine interface with electrical stimulation on medial forebrain bundle.

Yoon Kyung Cho1, Chin Su Koh2, Youjin Lee1,3

  • 1Department of Electronic and Electrical Engineering, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul, 03760 Republic of Korea.

Biomedical Engineering Letters
|January 30, 2023
PubMed
Summary

This study demonstrates a novel brain-machine interface (BMI) using sensory cortex signals to control movement. Electrical stimulation in the medial forebrain bundle (MFB) effectively trained rats in the BMI task.

Keywords:
Brain plasticityBrain–machine interfaceDeep brain stimulationSomatosensory cortexVirtual reward

More Related Videos

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K
Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

18.0K

Related Experiment Videos

Last Updated: Aug 12, 2025

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function
07:47

Non-Invasive Electrical Brain Stimulation Montages for Modulation of Human Motor Function

Published on: February 4, 2016

13.2K
Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding
11:25

Simultaneous Scalp Electroencephalography EEG, Electromyography EMG, and Whole-body Segmental Inertial Recording for Multi-modal Neural Decoding

Published on: July 26, 2013

43.4K
Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

18.0K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Brain-machine interfaces (BMIs) typically use motor cortex signals for motor function restoration.
  • Sensory cortex signals have not been extensively explored for BMI control.
  • Restoring function for individuals with motor disabilities is a critical challenge.

Purpose of the Study:

  • To investigate the feasibility of using sensory-related neural signals for BMI control.
  • To evaluate the efficacy of medial forebrain bundle (MFB) electrical stimulation as a reward mechanism in a BMI task.
  • To develop a novel BMI system for potential application in motor rehabilitation.

Main Methods:

  • Recorded four-channel electrocorticographic (ECoG) signals from the whisker-related somatosensory cortex of rats.
  • Extracted BMI signals from ECoG data to control a one-dimensional cursor movement.
  • Utilized operant conditioning with MFB electrical stimulation as a virtual reward to train the rats.

Main Results:

  • Rats successfully learned to control the cursor's position using neural activity from the somatosensory cortex (S1BF).
  • The BMI system demonstrated effective control over cursor movement based on sensory-related neural signals.
  • MFB electrical stimulation proved to be an effective reward to facilitate learning of the BMI task.

Conclusions:

  • Neural signals from the whisker somatosensory cortex can be effectively utilized for brain-machine interface applications.
  • MFB electrical stimulation is a viable method for training animals in complex behavioral tasks for BMI.
  • This research opens new avenues for BMI development using alternative neural signal sources and reward strategies.