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

Cortically controlled brain-machine interface.

N Hatsopoulos1, Jon Mukand, Gary Polykoff

  • 1Dept. of Organismal Biology and Anatomy, University of Chicago, Chicago, IL, Brown University, Providence, RI, Sargent Rehabilitation Center, Providence, RI, Massachusetts General Hospital, Boston, MA, Rhode Island Hospital, Providence, RI, Cyberkinetics, Inc. Foxboro, MA.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
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

Relationships between pain cognitions and physical function in a sample of racially diverse, sedentary individuals with chronic pain.

Pain practice : the official journal of World Institute of Pain·2025
Same author

Feasibility, Safety, and Performance of Full-Head Subscalp EEG Using Minimally Invasive Electrode Implantation.

Neurology·2024
Same author

Improving multimodal physical function in adults with heterogeneous chronic pain; Protocol for a multisite feasibility RCT.

Contemporary clinical trials·2024
Same author

Broader Estimates of Gastrocnemius Activity Generated a More Representative Cocontraction Index: A Study in Pediatric Population.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2023
Same author

A global phylogenomic analysis of the shiitake genus <i>Lentinula</i>.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System.

Neurology·2023

This study demonstrates brain-computer interface (BCI) technology using multi-electrode arrays for chronic cortical recordings. This enables tetraplegic patients to control external devices, moving towards hybrid BCI systems.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Rehabilitation Technology

Background:

  • Chronic cortical recordings are essential for advanced brain-computer interfaces (BCIs).
  • Previous research has focused on single-mode control from motor cortex signals.
  • Developing robust, long-term neural recording systems is critical for clinical translation.

Purpose of the Study:

  • To evaluate a multi-electrode array for chronic cortical recordings in non-human primates.
  • To demonstrate real-time decoding of neural signals for goal-directed behavior.
  • To explore multi-modal control strategies for hybrid BCIs.

Main Methods:

  • Utilized a multi-electrode array for chronic cortical recordings in behaving non-human primates.
  • Developed a closed-loop, real-time system for decoding neural signals.

Related Experiment Videos

  • Conducted a FDA clinical trial with a tetraplegic patient using the BCI system.

    • Main Results:

    • Successfully recorded dozens of single units in the motor cortex over extended periods.
    • Enabled a tetraplegic patient to control a computer cursor via motor cortical activity.
    • Showcased distinct control capabilities between primary motor cortex (continuous) and premotor cortex (discrete) signals.

    Conclusions:

    • Multi-electrode arrays are feasible for chronic cortical recordings and BCI applications.
    • Neural decoding allows for volitional control of external devices by paralyzed individuals.
    • A hybrid BCI approach, switching between discrete and continuous control, offers enhanced functionality.