• DocumentCode
    471865
  • Title

    Spatio-temporal Source Localization and Granger Causality in Ictal Source Analysis

  • Author

    Ding, L. ; Worrell, G.A. ; Lagerlund, T.D. ; He, B.

  • Author_Institution
    Minnesota Univ.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    3670
  • Lastpage
    3671
  • Abstract
    We have proposed a new ictal source analysis approach by combining a spatio-temporal source localization approach, and causal interaction estimation technique. The FINE approach is used to identify neural electrical sources from spatio-temporal scalp-EEGs. The Granger causality estimation uses source waveforms estimated by FINE to characterize the causal interaction between the neural electrical sources in order to distinguish primary sources, which initiate ictal events, from secondary sources, which are caused by propagation. In the present study, we applied the proposed analysis approach to an epilepsy patient with symptomatic MRI lesions. It is found that the primary ictal source is within the visible lesion, which gave the consistent presurgical evaluation as MRI for this patient
  • Keywords
    bioelectric phenomena; biomedical MRI; diseases; electroencephalography; medical signal processing; neurophysiology; spatiotemporal phenomena; statistical analysis; FINE algorithm; bivariate Granger causality estimation; epilepsy patient; ictal source analysis; neural electrical sources; presurgical evaluation; scalp EEG; source waveforms; spatio-temporal source localization; symptomatic MRI lesions; Amplitude estimation; Cities and towns; Electroencephalography; Epilepsy; Lesions; Magnetic resonance imaging; Noise measurement; Position measurement; Scalp; USA Councils; EEG; FINE; Granger causality; spatio-temporal source localization; subspace;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259393
  • Filename
    4462594