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Assessment of a single-compartment mathematical model for alpha-motoneuron adaptations following spinal cord injury

Gerritsen, Lennart (2024) Assessment of a single-compartment mathematical model for alpha-motoneuron adaptations following spinal cord injury.

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Abstract:Spinal cord injury (SCI) is a prevalent neural lesion in humans, causing serious changes in the human nervous system. This can alter the muscular system, potentially leading to spasticity, lung or heart complications. These complications follow alterations in the alpha motor neurons. Since the behavior of alpha motor neurons is not measurable in vivo, computational models are used to simulate this motor neuron behavior. Most of these computational models are tested on healthy humans only. When these models work for subjects with spinal cord injury, they could play a role in the understanding of alpha motor neuron behavior and treatment. The aim of this work was therefore to test an existing mathematical model on subjects with spinal cord injury and assess the performance. It was found that the model can accurately show trends in parameters after SCI, which are in line with literature. While simulating the spike trains, the model performed worse on subjects with spinal cord injury with regard to first spike match, coincidence factor and mean discharge rate. For one specific case, the model performed better in the coincidence factor. The model therefore still needs more optimization to accurately simulate motor neuron behavior after SCI and to be suitable for clinical use.
Item Type:Essay (Bachelor)
Faculty:ET: Engineering Technology
Subject:50 technical science in general
Programme:Biomedical Technology BSc (56226)
Link to this item:https://purl.utwente.nl/essays/98515
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