• DocumentCode
    2467085
  • Title

    Millimeter-scale epileptiform spike patterns and their relationship to seizures

  • Author

    Chamberlain, Ann C. ; Viventi, Jonathan ; Blanco, Justin A. ; Kim, Dae-Hyeong ; Rogers, John A. ; Litt, Brian

  • Author_Institution
    Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    761
  • Lastpage
    764
  • Abstract
    Advances in neural electrode technology are enabling brain recordings with increasingly fine spatial and temporal resolution. We explore spatio-temporal (ST) patterns of local field potential spikes using a new high-density active electrode array with 500 μm resolution. We record subdural micro-electrocorticographic (μECoG) signals in vivo from a feline model of acute neocortical epileptiform spikes and seizures induced with local administration of the GABA antagonist, picrotoxin. We employ a clustering algorithm to separate 2-dimensional (2-D) spike patterns to isolate distinct classes of spikes unique to the interictal and ictal states. Our findings indicate that the 2-D patterns can be used to distinguish seizures from non-seizure state. We find two statistically significant ST patterns that uniquely characterize ictal epochs. We conclude that millimeter-scale ST spike dynamics contain useful information about ictal state. This finding may be important to understanding mechanisms underlying local circuit activity during seizure generation. Further work will investigate whether patterns we identify can increase our understanding of seizure dynamics and their underlying mechanisms and inform new electrical stimulation protocols for seizure termination.
  • Keywords
    Arrays; Brain modeling; Delay; Electric potential; Electrodes; Epilepsy; Visualization; Action Potentials; Algorithms; Animals; Cats; Computer Simulation; Electroencephalography; Epilepsy; Models, Neurological; Nerve Net; Seizures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090174
  • Filename
    6090174