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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Resilience of precuneus neurotrophic signaling pathways despite amyloid pathology in prodromal Alzheimer's disease.

Biological psychiatry·2014
Same author

Magnetoacoustic tomography with magnetic induction for high-resolution bioimepedance imaging through vector source reconstruction under the static field of MRI magnet.

Medical physics·2014
Same author

Hollow superparamagnetic PLGA/Fe3O4 composite microspheres for lysozyme adsorption.

Nanotechnology·2014
Same author

[A bird's eye view of the algorithms and software packages for reconstructing phylogenetic trees].

Dong wu xue yan jiu = Zoological research·2014
Same author

Functional and biodegradable dendritic macromolecules with controlled architectures as nontoxic and efficient nanoscale gene vectors.

Biotechnology advances·2014
Same author

[Effects of artificial vegetation on the spatial heterogeneity of soil moisture and salt in coastal saline land of Chongming Dongtan, Shanghai].

Ying yong sheng tai xue bao = The journal of applied ecology·2014

Related Experiment Video

Updated: Jul 4, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

Three-dimensional brain current source reconstruction from intra-cranial ECoG recordings.

Yingchun Zhang1, Wim van Drongelen, Michael Kohrman

  • 1University of Minnesota, Department of Biomedical Engineering, Minneapolis, MN 55455, USA.

Neuroimage
|June 27, 2008
PubMed
Summary

This study introduces 3D brain current density reconstruction (CDR) using intracranial electrocorticogram (ECoG) recordings. ECoG-CDR offers improved source localization and imaging compared to scalp EEG-based methods.

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

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

Related Experiment Videos

Last Updated: Jul 4, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
08:20

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings

Published on: June 6, 2015

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

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

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Computational Electrophysiology

Background:

  • Accurate localization of brain electrical sources is crucial for understanding neurological disorders.
  • Current methods using scalp electroencephalography (EEG) have limitations in spatial resolution.
  • Intracranial electrocorticography (ECoG) offers higher signal fidelity but requires advanced reconstruction techniques.

Purpose of the Study:

  • To develop and evaluate a 3D brain current density reconstruction (CDR) method using ECoG recordings.
  • To compare the performance of ECoG-based CDR with traditional EEG-based CDR.
  • To demonstrate the clinical applicability of ECoG-CDR in epilepsy patients.

Main Methods:

  • Utilized the finite element method (FEM) for 3D brain modeling.
  • Modeled brain electrical sources as current density distributions.
  • Employed a weighted minimum norm estimation algorithm to estimate sources from ECoG signals.
  • Conducted computer simulations and analyzed patient data.

Main Results:

  • ECoG-CDR showed superior performance in localizing single dipole sources beneath ECoG grids compared to EEG-CDR.
  • ECoG-CDR demonstrated enhanced ability to distinguish and image multiple separate dipole sources.
  • Successfully applied ECoG-CDR to analyze interictal epileptiform spikes in an epilepsy patient.

Conclusions:

  • The developed ECoG-CDR method is feasible and applicable for estimating brain sources from intracranial recordings.
  • ECoG-based CDR provides enhanced spatial accuracy over EEG-based methods.
  • This technique holds promise for improved diagnosis and surgical planning in neurological conditions.