• DocumentCode
    3082594
  • Title

    The 3D position estimation of neurons in the hippocampus based on the multi-site multi-unit recordings with silicon tetrodes

  • Author

    Kubo, Takashi ; Katayama, Norihiro ; Karashima, Akihiro ; Nakao, Mitsuyuki

  • Author_Institution
    Biomodeling Laboratory, Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Japan
  • fYear
    2008
  • fDate
    20-25 Aug. 2008
  • Firstpage
    5021
  • Lastpage
    5024
  • Abstract
    The mechanical strain of the neural tissue induced by the implant of neuronal electrode is one of the important factors responsible for the quality and performance of extracellular recording of neuronal activities in the brain because the mechanical strain could kill or inactivate the neurons. In order to evaluate the effect of the implant of neural electrode, we propose a method to estimate the three-dimensional distribution of electrophysiologically active neurons near the electrode based on the multi-site multi-unit recording data. The spatial distribution of the active neurons emerges the region in the neural tissue that could be killed or inactivated by the implant of the electrode. The proposed method will be useful for the in situ assessment of the neural electrode implanted in the brain.
  • Keywords
    Animals; Capacitive sensors; Conducting materials; Electrodes; Electrophysiology; Extracellular; Hippocampus; Implants; Neurons; Silicon; Action Potentials; Cells, Cultured; Computer Simulation; Electrodes, Implanted; Electroencephalography; Hippocampus; Imaging, Three-Dimensional; Models, Anatomic; Models, Neurological; Nerve Net; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-1814-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2008.4650341
  • Filename
    4650341