• Title of article

    Systematic approach to dipole localization of interictal EEG spikes in children with extratemporal lobe epilepsies

  • Author/Authors

    Ayako Ochi، نويسنده , , Hiroshi Otsubo، نويسنده , , Atsushi Shirasawa، نويسنده , , Amrita Hunjan، نويسنده , , Rohit Sharma، نويسنده , , Mhairi Bettings، نويسنده , , James T. Rutka، نويسنده , , Kenichi Kamijo، نويسنده , , Toshimasa Yamazaki، نويسنده , , Scott B. Wilson، نويسنده , , O. Carter Snead III، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2000
  • Pages
    8
  • From page
    161
  • To page
    168
  • Abstract
    Objectives: To assess the reliability of dipole localization based on residual variances (RV), using equivalent current dipole analysis of interictal EEG spikes in children with extratemporal lobe epilepsy. Methods: Four pediatric patients with extratemporal lobe epilepsy were studied. Digital EEG was recorded from 19 scalp electrodes. Computer programs for spike detection and clustering analysis were used to select spikes. Dipoles were calculated 5 times for each spike using different initial guesses by the moving dipole model. Standard deviation (SD) of the dipole positions was calculated at each time point in the 5 trials. Results: We analyzed the dipoles at 1097 time points from 4 patients. Among 106 time points with RV<2%, the SD was <1 mm in 78 (74%), while in those with SD>1 mm the dipole positions varied between 2.8 and 52.6 mm. Of dipoles with RV<1%, 26 of 27 (96%) had an SD<1 mm; the one dipole with SD>1 mm varied within 2.5 mm. The dipole localizations with RV<2% corresponded to the epileptogenic zones identified on intracranial invasive video EEG and intraoperative ECoG. Conclusions: The systematic approach of equivalent current dipole analysis using spike detection, clustering analysis, and an RV<2% as a standard is useful for identifying extratemporal epileptic regions.
  • Keywords
    Extratemporal lobe epilepsy , children , Clustering analysis , EEG , Dipole
  • Journal title
    Clinical Neurophysiology
  • Serial Year
    2000
  • Journal title
    Clinical Neurophysiology
  • Record number

    521819