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

Identification of electrocorticogram patterns as the basis for a direct brain interface.

S P Levine1, J E Huggins, S L BeMent

  • 1Rehabilitation Engineering Program, Department of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor 48109-0032 USA.

Journal of Clinical Neurophysiology : Official Publication of the American Electroencephalographic Society
|November 27, 1999
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

Multimorbidity in adolescents in sub-Saharan Africa: a systematic review.

Communications medicine·2026
Same author

Growth performance, efficiency, and composition of Holstein heifers fed 2 levels of nutrient intake from 44 to 350 kilograms body weight.

Journal of dairy science·2026
Same author

Public health and military health.

Journal of public health (Oxford, England)·2022
Same author

Formulating diets for intestinal unavailable nitrogen using blood meal in high-producing dairy cattle.

Journal of dairy science·2022
Same author

The postpartum abdomen: psychology, surgery and quality of life.

Hernia : the journal of hernias and abdominal wall surgery·2021
Same author

Establishing communicable disease surveillance systems.

BMJ military health·2021

Researchers identified event-related potentials (ERPs) from electrocorticograms in epilepsy patients, paving the way for direct brain interfaces. These brain signals, recorded from the cortex surface, show promise for future brain-computer applications.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Direct brain interfaces are crucial for restoring function after neurological injury.
  • Electrocorticography (ECoG) offers high spatial and temporal resolution for brain signal monitoring.
  • Identifying reliable neural signals for motor actions is a key challenge.

Purpose of the Study:

  • To investigate the feasibility of identifying event-related potentials (ERPs) from ECoG signals.
  • To determine if these ERPs can serve as a basis for a direct brain interface.
  • To explore the characteristics and locations of premovement ERPs.

Main Methods:

  • ECoG data were recorded from 10 epilepsy surgery patients with subdural electrodes.
  • Subjects performed motor actions, and ECoG was recorded continuously.

Related Experiment Videos

  • Action-triggered averages were analyzed to identify ERP templates using an amplitude criterion.

    • Main Results:

    • ERPs were identified in all 10 subjects and 56% of electrode-recording sets.
    • Eighty-two percent of identified ERPs preceded the motor action, indicating premovement activity.
    • The sensorimotor cortex and anterior frontal lobe showed the highest probability for ERP identification.

    Conclusions:

    • ERPs can be reliably identified from cortical surface ECoG.
    • These ERPs, including premovement components, are suitable for developing direct brain interfaces.
    • The findings support the use of ECoG-based ERPs for brain-computer applications.