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

An efficient algorithm for computing multishell spherical volume conductor models in EEG dipole source localization

M Sun1

  • 1Department of Neurosurgery, University of Pittsburgh, PA 15213, USA. mrsun@neuronet.pitt.edu

IEEE Transactions on Bio-Medical Engineering
|December 24, 1997
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

Comparative study on effect of different promoters on expression of cry1Ac in Bacillus thuringiensis chromosome.

Journal of applied microbiology·2007
Same author

A surging new interest on toilet training started during the first months of age in Western countries.

Techniques in coloproctology·2007
Same author

Endoscopic ultrasound-guided interstitial chemotherapy in the pancreas: results in a canine model.

Endoscopy·2007
Same author

Expression of breast cancer resistance protein (BCRP/ABCG2) in human placenta throughout gestation and at term before and after labor.

Canadian journal of physiology and pharmacology·2007
Same author

Herbicide exposure modifies GSTP1 haplotype association to Parkinson onset age: the GenePD Study.

Neurology·2006
Same author

c-Jun N-terminal kinase is activated in non-small-cell lung cancer and promotes neoplastic transformation in human bronchial epithelial cells.

Oncogene·2006
Same journal

Enhancing Volumetric Imaging in Linear-Array Photoacoustic Tomography: multiview fusion with deep learning.

IEEE transactions on bio-medical engineering·2026
Same journal

Robust Rule-based Heuristic Assistance Strategy for a Semi-Active Shoulder Exoskeleton Used in Overhead Work.

IEEE transactions on bio-medical engineering·2026
Same journal

Highly Accelerated 1-mm Isotropic 3D Chemical Exchange Saturation Transfer MRI Using Wave-Co-CAIPI at 5 Tesla.

IEEE transactions on bio-medical engineering·2026
Same journal

Systematic Evaluation of Hip Exoskeleton Assistance Parameters for Enhancing Gait Stability During Ground Slip Perturbations.

IEEE transactions on bio-medical engineering·2026
Same journal

SleepConFormer: A Single-Channel EEG Framework for Sleep Staging and Consciousness Assessment in Patients with Disorders of Consciousness.

IEEE transactions on bio-medical engineering·2026
Same journal

Modeling Partial and Total Support of Left Ventricular Assist Device for Discrete Hemodynamic Control Framework.

IEEE transactions on bio-medical engineering·2026
See all related articles

This study presents a faster computational method for localizing brain electrical sources using electroencephalography (EEG). The new approximation significantly reduces calculation time while maintaining high accuracy for source-potential mapping.

Area of Science:

  • Computational neuroscience
  • Biophysics
  • Medical imaging

Background:

  • Accurate localization of electrical current sources in the brain using electroencephalography (EEG) relies on volume conductor models.
  • The standard multishell spherical model, while effective, involves computationally intensive infinite series calculations.

Purpose of the Study:

  • To develop a computationally efficient closed-form approximation for the source-potential relationship in a multishell spherical volume conductor model.
  • To reduce the computational cost of EEG source localization while preserving accuracy.

Main Methods:

  • Developed a closed-form approximation by optimally fitting Legendre polynomial weights.
  • Implemented the second-order and third-order approximation algorithms in a C-routine.

Related Experiment Videos

  • Evaluated computational cost and relative mean square error using 20,000 random dipoles.

    • Main Results:

    • The approximation requires significantly fewer floating-point operations (100-140) compared to the direct method (6.3%-8.9% of direct method cost).
    • Achieved high accuracy with low relative mean square errors of 0.29% (second-order) and 0.066% (third-order).

    Conclusions:

    • The proposed closed-form approximation offers a substantial computational speed-up for EEG source localization.
    • This method provides a practical and efficient alternative for real-time or large-scale EEG data analysis.