• DocumentCode
    2577348
  • Title

    Inverse and forward modeling of interictal spikes in the EEG, MEG and ECoG

  • Author

    Huiskamp, G.J.M.

  • Author_Institution
    Dept. of Clinical Neurophysiol., Univ. Med. Center Utrecht, Netherlands
  • Volume
    2
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    1393
  • Abstract
    We tested the validity of EEG and MEG source characterization of interictal spikes in epilepsy patients for which subdural grid registrations of the ECoG and accurate geometrical information from MRI and CT were available. A boundary element volume conduction model was used while for the inverse problem dipolar and distributed source models and epicortical potentials were tested. Results show that for a good qualitative correspondence between sources computed from EEG and ECoG signals distributed source models are to be preferred. For combined EEG-MEG the dipole model performs slightly better. For a good quantitative correspondence, proper modeling of the conductivity values and geometry is essential.
  • Keywords
    bioelectric potentials; boundary-elements methods; brain models; diseases; electroencephalography; inverse problems; magnetoencephalography; medical signal processing; source separation; CT; ECoG; EEG source characterization; MEG source characterization; MRI; accurate geometrical information; boundary element volume conduction model; combined EEG-MEG; conductivity values; dipolar source models; distributed source models; epicortical potentials; epilepsy patients; forward modeling; interictal spikes; inverse modeling; subdural grid registrations; Brain modeling; Conductivity; Distributed computing; Electroencephalography; Epilepsy; Geometry; Inverse problems; Magnetic resonance imaging; Solid modeling; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7612-9
  • Type

    conf

  • DOI
    10.1109/IEMBS.2002.1106446
  • Filename
    1106446