• DocumentCode
    2960169
  • Title

    A neural model of demyelination of the mouse spinal cord

  • Author

    Petreska, Biljana ; Yovel, Yossi

  • Author_Institution
    Learning Algorithms & Syst. Lab., Ecole Polytech. Fed. de Lausanne (EPFL), Lausanne
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    2538
  • Lastpage
    2544
  • Abstract
    This paper presents a neural network model of demyelination of the mouse motor pathways, coupled to a central pattern generation (CPG) model for quadruped walking. Demyelination is the degradation of the myelin layer covering the axons which can be caused by several neurodegenerative autoimmune diseases such as multiple sclerosis. We use this model - to our knowledge first of its kind - to investigate the locomotion deficits that appear following demyelination of axons in the spinal cord. Our model meets several physiological and behavioral results and predicts that whereas locomotion can still occur at high percentages of demyelination damage, the distribution and location of the lesion are the most critical factors for the locomotor performance.
  • Keywords
    biology computing; diseases; neural nets; neurophysiology; central pattern generation model; demyelination; locomotion deficits; mouse motor pathways; mouse spinal cord; multiple sclerosis; neural model; neural network model; neurodegenerative autoimmune diseases; quadruped walking; Couplings; Degradation; Diseases; Legged locomotion; Mice; Multiple sclerosis; Nerve fibers; Neural networks; Predictive models; Spinal cord;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634153
  • Filename
    4634153