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Development of a human neuro-musculo-skeletal model for investigation of spinal cord injury

Paul, Chandana ; Bellotti, Mario ; Jezernik, Sašo ; Curt, Armin

In: Biological Cybernetics, 2005, vol. 93, no. 3, p. 153-170

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    Titre
    • Development of a human neuro-musculo-skeletal model for investigation of spinal cord injury
    Auteur
    • Paul, Chandana. Artificial Intelligence Lab, University of Zurich, Andreastr. 15, 8050, Zurich, Switzerland
    • Bellotti, Mario. Automatic Control Laboratory, ETH Zurich, Physikstr. 3, 8092, Zurich, Switzerland
    • Jezernik, Sašo. Automatic Control Laboratory, ETH Zurich, Physikstr. 3, 8092, Zurich, Switzerland
    • Curt, Armin. Spinal Cord Injury Center, University Clinic Balgrist, Forchstr. 328, 8008, Zurich, Switzerland
    Type de document
    • Postprint
    Classification
    • Santé
    Identifiant OAI-PMH
    • oai:doc.rero.ch:313679
    Summary
    This paper describes a neuro-musculo-skeletal model of the human lower body which has been developed with the aim of studying the effects of spinal cord injury on locomotor abilities. The model represents spinal neural control modules corresponding to central pattern generators, muscle spindle based reflex pathways, golgi tendon organ based pathways and cutaneous reflex pathways, which are coupled to the lower body musculo-skeletal dynamics. As compared to other neuro-musculo-skeletal models which aim to provide a description of the possible mechanisms involved in the production of locomotion, the goal of the model here is to understand the role of the known spinal pathways in locomotion. Thus, while other models focus primarily on functionality at the overall system level, the model here emphasizes functional and topological correspondance with the biological system at the level of the subcomponents representing spinal pathways. Such a model is more suitable for the detailed investigation of clinical questions related to spinal control of locomotion. The model is used here to perform preliminary experiments addressing the following issues: (1) the significance of spinal reflex modalities for walking and (2) the relative criticality of the various reflex modalities. The results of these experiments shed new light on the possible role of the reflex modalities in the regulation of stance and walking speed. The results also demonstrate the use of the model for the generation of hypothesis which could guide clinical experimentation. In the future, such a model may have applications in clinical diagnosis, as it can be used to identify the internal state of the system which provides the closest behavioral fit to a patient's pathological condition