Evaluation of Different Cortical Potential Imaging Methods Using Simulated EEG Data

Jun Yao*, Jules Dewald

*Corresponding author for this work

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

Different cortical potential imaging methods have been developed to directly link the scalp potentials with the cortical potentials. These methods make it possible to non-invasively investigate cortical activities with high spatial and time resolutions by using scalp EEC. However, although there are many different cortical potential imaging methods available, up to now, the accuracy and efficiency of these methods have not been rigorously evaluated nor compared. In this paper, we investigated a total of five different methods using ten different scenarios that employ simulated scalp EEG data with or without noise. Our results showed that 1), when only the center of electrical cortical activity needs to be estimated, single moving dipole and single dipole deviation scan methods are more accurate and more efficient than current density methods; and 2), with respect to current density methods, which are useful when the number of sources are unknown, the LORETA method with the L1-norm gives the highest accuracy, however, at a significant computational cost.

Original languageEnglish (US)
Pages (from-to)2128-2131
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
StatePublished - Dec 1 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

Keywords

  • Cortical potential imaging
  • Current density
  • Dipole scan
  • Moving dipole
  • Source localization methods

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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