Estimation of Active Cortical Current Source Regions Using a Vector Representation Scanning Approach

Anthony L. Ricamato, Yasin Y. Dhaher, Julius P.A. Dewald

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

The objective of this article is to present a framework for cortical current source reconstruction that extracts a center and magnitude of electrical brain activity from EEG signals. High-resolution EEG recordings, a subject-specific MRI-based electromagnetic boundary element method (BEM) model, and a channel reduction technique are used. This new geometric measure combines the magnitude and spatial location of electrical brain activity of each of the identified subsets of channels into a three-dimensional resultant vector. The combination of the two approaches constitutes a source reconstruction scanning technique that provides a real-time estimation of cortical centers that can be tracked over time. Simulations demonstrate that the ability of this method to find the best-fit cortical location is more robust both in terms of accuracy and precision than traditional approaches for single-source conditions. Experimental validation demonstrates its ability to localize and separate cortical activity in plausible sites for two different motor tasks. Finally, this method provides a statistical measure to compare electrical brain activity associated with different motor tasks.

Original languageEnglish (US)
Pages (from-to)326-344
Number of pages19
JournalJournal of Clinical Neurophysiology
Volume20
Issue number5
DOIs
StatePublished - Dec 1 2003
Externally publishedYes

Keywords

  • EEG
  • Imaging
  • MRI
  • Source localization

ASJC Scopus subject areas

  • Physiology
  • Neurology
  • Clinical Neurology
  • Physiology (medical)

Fingerprint Dive into the research topics of 'Estimation of Active Cortical Current Source Regions Using a Vector Representation Scanning Approach'. Together they form a unique fingerprint.

  • Cite this