EEG source imaging and connectivity analysis in epilepsy patients

Yunfeng Lu, Gregory A. Worrell, Huishi C. Zhang, Abbas Sohrabpour, Bin He

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

Abstract

EEG represents a useful tool to study the electrophysiological brain activity. EEG has also been widely used to help diagnose the epilepsy and study the underlying brain sources of epileptic activity. Here, we present a study of imaging the seizure activity of epilepsy patient from noninvasive scalp EEG. A spatio-temporal EEG source localization approach (FINE) was firstly applied to localize the active sources during ictal period. Connectivity analysis of directed transfer function (DTF) was then utilized to identify the primary source of seizure onset. Computer simulation was performed to study the source localization in dipolar sources. The method was applied in a medically intractable epilepsy patient to localize the seizure onset zone. The effect of electrode numbers in source imaging results was also investigated in the computer simulation.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages795-797
Number of pages3
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Lu, Y., Worrell, G. A., Zhang, H. C., Sohrabpour, A., & He, B. (2013). EEG source imaging and connectivity analysis in epilepsy patients. In Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers (pp. 795-797). [6810395] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2013.6810395