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

MEG and ECoG localization accuracy test

S Gharib1, W W Sutherling, N Nakasato

  • 1Department of Electrical Engineering, University of California, Los Angeles.

Electroencephalography and Clinical Neurophysiology
|February 1, 1995
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

A study protocol for a randomised controlled trial evaluating the safety and efficiency of the YEARS algorithm versus computed tomography pulmonary angiography only for suspected acute pulmonary embolism in patients with cancer: the Hydra Study.

Thrombosis research·2026
Same author

The Role of Pigments in Light Color Variation of the Firefly <i>Photinus pyralis</i>.

Ecology and evolution·2025
Same author

The role of pigments in light color variation of the firefly <i>Photinus pyralis</i>.

bioRxiv : the preprint server for biology·2024
Same author

The spectrum of indications for ultralong-term EEG monitoring.

Seizure·2024
Same author

Sign reversal of the Josephson inductance magnetochiral anisotropy and 0-π-like transitions in supercurrent diodes.

Nature nanotechnology·2023
Same author

Electrical stimulation methods and protocols for the treatment of traumatic brain injury: a critical review of preclinical research.

Journal of neuroengineering and rehabilitation·2023
Same journal

Coming to terms with brain waves.

Electroencephalography and clinical neurophysiology·2014
Same journal

Habituation of lower leg stretch responses in Parkinson's disease.

Electroencephalography and clinical neurophysiology·2000
Same journal

Asymmetry of cortical excitability revealed by transcranial stimulation in a patient with focal motor epilepsy and cortical myoclonus.

Electroencephalography and clinical neurophysiology·2000
Same journal

Evoked isometric muscle contractions in myopathies: analysis of pathophysiological properties by different stimulus patterns.

Electroencephalography and clinical neurophysiology·2000
Same journal

Task-related coherence and task-related spectral power changes during sequential finger movements.

Electroencephalography and clinical neurophysiology·2000
Same journal

Electrophysiological studies in mild idiopathic carpal tunnel syndrome.

Electroencephalography and clinical neurophysiology·2000
See all related articles

Magnetoencephalography (MEG) and electrocorticography (ECoG) showed similar accuracy for brain source localization. Spatial digitization improved precision for both methods, supporting non-invasive MEG for defining epilepsy zones.

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Accurate localization of brain activity is crucial for understanding neurological disorders like epilepsy.
  • Magnetoencephalography (MEG) and electrocorticography (ECoG) are methods used to measure brain activity, but their localization accuracy varies with source depth.

Purpose of the Study:

  • To compare the localization accuracy of MEG and ECoG for a simulated current dipole at various depths.
  • To evaluate the impact of 3D spatial digitization on the accuracy of both MEG and ECoG.

Main Methods:

  • A saline-filled sphere model was used to simulate brain tissue.
  • A current dipole was placed at depths from 1 to 6 cm.
  • Standard neuromagnetometer placements and subdural electrode grids were employed.

Related Experiment Videos

  • Sensor and electrode locations were precisely measured using a 3D spatial digitizer.

    • Main Results:

    • MEG and ECoG demonstrated comparable localization accuracy, with mean errors of 1.5 mm and 1.8 mm, respectively.
    • The use of a 3D spatial digitizer enhanced the accuracy of both MEG and ECoG localization.
    • ECoG accuracy decreased with increasing source depth, likely due to spatial under-sampling.

    Conclusions:

    • Both MEG and ECoG, when combined with precise spatial digitization, offer reliable brain source localization.
    • Non-invasive MEG methods show promise for improved definition of epileptogenic zones.
    • Clinical application of ECoG grids may be more suitable for superficial cortical sources, with depth recordings preferred for deeper activity.