• DocumentCode
    1914073
  • Title

    Inserting the Effects of Ion Channels in Mean Field Models: Application to generation of anesthetic slow waves

  • Author

    Ardekani, Behnam Molaee ; Senhadji, Lotfi ; Shamsollahi, Mohammad Bagher

  • Author_Institution
    LTSI INSERM, Rennes1 Univ., Rennes
  • Volume
    1
  • fYear
    2005
  • fDate
    21-24 Nov. 2005
  • Firstpage
    378
  • Lastpage
    381
  • Abstract
    In this paper, effects of general anesthesia on the electroencephalogram (EEG) have been modeled with an enhanced physiological mean field theory of electrocortical activity. Enhancement is done by inserting two intrinsic ion channels (IKNa and I AR) in Lilly´s mean field model. In addition to excitatory and inhibitory synapses, intrinsic ion channels can generate or manipulate the brain rhythms. IKNa and IAR can produce slow brain rhythms (delta band frequency) in deep levels of anesthesia. We represent the activities of each mentioned ion channels by cascading a nonlinear function and a first order low pass filter. Linearized and numerical solutions of the modified model show that the power spectrum densities of simulated EEG signals are more closed to reality
  • Keywords
    electroencephalography; low-pass filters; medical signal processing; neurophysiology; nonlinear functions; EEG; Lilly mean field model; anesthetic slow wave generation; electrocortical activity; electroencephalogram; first order low pass filter; general anesthesia; ion channel effects; nonlinear function; physiological mean field theory; power spectrum density; Anesthesia; Anesthetic drugs; Brain modeling; Diseases; Electroencephalography; Frequency; Low pass filters; Neurons; Rhythm; Surgery; Anesthesia; Delta Waves; Ion Channels; Mean Field Theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer as a Tool, 2005. EUROCON 2005.The International Conference on
  • Conference_Location
    Belgrade
  • Print_ISBN
    1-4244-0049-X
  • Type

    conf

  • DOI
    10.1109/EURCON.2005.1629941
  • Filename
    1629941