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 Video

Updated: Jun 18, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

EEG-based real-time dynamic neuroimaging.

Chang-Hwan Im1, Han-Jeong Hwang

  • 1Department of Biomedical Engineering, Yonsei University, 234 Maeji, Heungeop, Wonju, 220-710, Korea. ich@yonsei.ac.kr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|December 8, 2009
PubMed
Summary
This summary is machine-generated.

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

Exploring the Effects of tACS Duration on Resting-State EEG: An Exploratory Within-Subject Study in Healthy Volunteers.

Journal of medical systems·2026
Same author

Melanopic equivalent daylight illuminance of 2 lx maintains and restores physiological and neurophysiological circadian rhythms in rats.

Scientific reports·2026
Same author

SleepPACNet: new convolutional neural network considering phase-amplitude coupling for automatic sleep stage classification using single-channel electroencephalogram.

Scientific reports·2026
Same author

Prediction of treatment responsiveness to home-based transcranial photobiomodulation (tPBM) intervention for cognitive decline using fNIRS concurrently recorded during tPBM.

Frontiers in aging neuroscience·2026
Same author

Deep Convolutional Neural Network-Based Detection of Gait Abnormalities in Parkinson's Disease Using Fewer Plantar Sensors in a Smart Insole.

Biosensors·2026
Same author

Altered resting-state sensorimotor network in patients with obsessive-compulsive disorder: An EEG study.

Journal of affective disorders·2026

A new electroencephalography (EEG) system offers real-time brain imaging of cortical activity. This dynamic neuroimaging tool shows potential for applications in neurofeedback, disease diagnosis, and rehabilitation.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Electroencephalography (EEG) is a non-invasive method for measuring brain activity.
  • Existing EEG systems often lack the spatiotemporal resolution to monitor cortical surface activity in real-time.
  • Dynamic neuroimaging requires high temporal resolution for accurate monitoring of brain function.

Purpose of the Study:

  • To introduce a newly developed electroencephalography (EEG)-based real-time dynamic neuroimaging system.
  • To present the potential applications of this advanced neuroimaging technology.
  • To demonstrate the system's capability in monitoring cortical activity.

Main Methods:

  • Development of a novel EEG-based real-time dynamic neuroimaging system.

More Related Videos

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Related Experiment Videos

Last Updated: Jun 18, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

  • Focus on monitoring spatiotemporal changes of cortical rhythmic activity directly on the cortical surface.
  • Utilizing high temporal resolution for dynamic brain activity tracking.

    • Main Results:

    • The developed system successfully monitors spatiotemporal changes in cortical rhythmic activity.
    • High temporal resolution allows for detailed observation of brain dynamics.
    • The system operates on the cortical surface, not the scalp, for improved signal specificity.

    Conclusions:

    • The real-time dynamic neuroimaging system represents a significant advancement in EEG technology.
    • Potential applications include neurofeedback for motor imagery, psychiatric disease diagnosis, and neurorehabilitation.
    • The system offers a powerful tool for both research and clinical practice in neuroscience.