• DocumentCode
    2393207
  • Title

    Spatio-temporal localization of focal epileptic sources from intracranial electrocortical recordings using an independent component analysis (ICA) algorithm

  • Author

    Latif, Mohamed Amin ; Babajani-Feremi, Abbas ; Barkmeier, Daniel ; Leob, Jeffery A. ; Soltanian-Zadeh, Hamid

  • Author_Institution
    Radiol. Dept., Henry Ford Health Syst., Detroit, MI, USA
  • fYear
    2010
  • fDate
    3-4 Nov. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The gold standard for the localization of epileptic activities in the cerebral cortex is intracranial electrocorticography (ECoG) electrodes placed directly on the brain surface. However, it has limitations in being able to localize deep brain epileptic sources. As a means to improve the localization of epileptic activities from these subdural electrical recordings, we developed a simple source monitoring system to detect and localize these deep sources. The method is based on an independent component analysis (ICA) algorithm known as joint approximate diagonalization of eigen-matrices (JADE). This method was tested on patients with neocortical epileptic foci focusing on the interictal spikes from ECoG signals. The proposed method localizes the interictal epileptic discharges to both superficial as well as deep regions of the human neocortex and has the potential to improve the localization and surgical outcomes of patients with medically refractory epilepsy undergoing surgical resections.
  • Keywords
    bioelectric phenomena; brain; independent component analysis; medical disorders; medical signal detection; neurophysiology; patient monitoring; spatiotemporal phenomena; ICA algorithm; cerebral cortex; eigenmatrices; epileptic activity; focal epileptic source; independent component analysis; interictal epileptic discharge; interictal spikes; intracranial electrocortical recording; intracranial electrocorticography electrodes; joint approximate diagonalization; medically refractory epilepsy; patient monitoring; signal monitoring; source monitoring system; spatiotemporal localization; surgical resection; Biological system modeling; Brain modeling; Electrodes; Epilepsy; Magnetic resonance imaging; Signal to noise ratio; Surgery; independent component analysis (ICA); interictal spikes (IIS); intracranial electrocorticography (ECoG); joint approximate diagonalization of eigen-matrices (JADE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering (ICBME), 2010 17th Iranian Conference of
  • Conference_Location
    Isfahan
  • Print_ISBN
    978-1-4244-7483-7
  • Type

    conf

  • DOI
    10.1109/ICBME.2010.5704921
  • Filename
    5704921