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
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4634153