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A computer model of denervation-reinnervation in skeletal muscle.
Cohen, M H; Lester, J M; Bradley, W G; Brenner, J F; Hirsch, R P; Silber, D I; Ziegelmiller, D.
Affiliation
  • Cohen MH; Computer Science Department, University of California, Berkeley 94720.
Muscle Nerve ; 10(9): 826-36, 1987.
Article in En | MEDLINE | ID: mdl-3683454
A computer model of the process of denervation and complete reinnervation of skeletal muscle has been developed for the purpose of exploring underlying mechanisms and for use in the development of new clinical and research tools for evaluating neuromuscular disease. Progressive motor neuron death and reinnervation in this model reproduces the fiber-type grouping, increased fiber density, and minimal increase of motor unit size seen in human chronic denervating diseases. Studies using the model suggest that (1) preferential involvement of motor units of one type could account for the abnormal fiber-type proportions observed in some diseases, (2) reinnervation by axons innervating adjacent fibers is compatible with single fiber multielectrode study results in that it does not produce a large increase in motor unit area, and (3) such reinnervation is sufficient to account for the increases in motor unit density that have been observed. The model has also been used in the development and testing of the Codispersion Index, a measure of the codistribution of two fiber types, which is useful in detecting fiber-type grouping.
Subject(s)
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Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Models, Neurological / Motor Neurons / Muscles / Neuromuscular Diseases Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Muscle Nerve Year: 1987 Document type: Article Country of publication: United States
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Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Models, Neurological / Motor Neurons / Muscles / Neuromuscular Diseases Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Muscle Nerve Year: 1987 Document type: Article Country of publication: United States