The relationship between conductivity uncertainties and EEG source localization accuracy

Gang Wang, Lin Yang, Gregory Alan Worrell, Bin He

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The brain-to-skull conductivity ratio (BSCR) is an important parameter in EEG source imaging and localization. Misspecification of this value may introduce localization errors in the estimation of brain electrical activity. However, the effect of this ratio has not been well understood despite many investigations. In the present study, we conducted a series of computer simulations to investigate the relationship between BSCR and EEG source localization accuracy. Furthermore, we have attempted to correlate the localization accuracy of epileptogenic regions with the BSCR in epilepsy patients. Our results indicate that the dipole localization errors ranged from 10 to 20 mm. The localization accuracy resulting when the conductivity ratio used in the inverse calculation was set at 20 was better than those resulting when the ratio was set at 80 in epilepsy patients with a deep tumor. Future work is needed to validate this finding by experimental investigations in a large patient population.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Pages4799-4802
Number of pages4
DOIs
StatePublished - 2009
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

Fingerprint

Electroencephalography
Uncertainty
Brain
Skull
Epilepsy
Computer Simulation
Tumors
Imaging techniques
Computer simulation
Population
Neoplasms

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Wang, G., Yang, L., Worrell, G. A., & He, B. (2009). The relationship between conductivity uncertainties and EEG source localization accuracy. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 4799-4802). [5332637] https://doi.org/10.1109/IEMBS.2009.5332637

The relationship between conductivity uncertainties and EEG source localization accuracy. / Wang, Gang; Yang, Lin; Worrell, Gregory Alan; He, Bin.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 4799-4802 5332637.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Wang, G, Yang, L, Worrell, GA & He, B 2009, The relationship between conductivity uncertainties and EEG source localization accuracy. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5332637, pp. 4799-4802, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 9/2/09. https://doi.org/10.1109/IEMBS.2009.5332637
Wang G, Yang L, Worrell GA, He B. The relationship between conductivity uncertainties and EEG source localization accuracy. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. p. 4799-4802. 5332637 https://doi.org/10.1109/IEMBS.2009.5332637
Wang, Gang ; Yang, Lin ; Worrell, Gregory Alan ; He, Bin. / The relationship between conductivity uncertainties and EEG source localization accuracy. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. 2009. pp. 4799-4802
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