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Modelling neuronal activity at the knee joint

Modelling neuronal activity at the knee joint
Modelling neuronal activity at the knee joint
The knee is a complex joint, prone to instability and damage, meaning a complicated architecture of soft tissues is necessary to ensure any stability of the joint. These structures are innervated, and play an important role in both proprioception, the sensing of a body’s own limb positions, and nociception, the sensing of painful stimuli. The purpose of this project has been to develop a computational model that can replicate the behaviour of the mechanical sensing nerve endings in the knee joint. An adapted Hodgkin-Huxley model has been developed and used to simulate the behaviour of the nerve endings. These models have been coupled with a three dimensional finite element model of a feline knee joint, which has been built with use of x-ray CT and MRI scans of a cat’s hind limb, allowing neural responses to be predicted as the position of the knee joint changes. Once the behaviour of the complete model has been verified, through comparisons with recordings of neural responses in the literature, it was possible to observe the effect of removing a soft tissue structure on the neural response. The anterior cruciate ligament (ACL) was removed from the model, and a series of tests run to determine the effect of ligament damage on neural response. It was predicted that removing the ACL from the knee joint can increase the neural responses to changes in knee position, agreeing with data in the literature. This could indicate an increase in pain at the joint, and could help with understanding the causes of pain and changes proprioception experienced by patients with damaged ACL.
University of Southampton
Palmer, Gwen
42e739c0-539b-487d-a4fc-120eb234f668
Palmer, Gwen
42e739c0-539b-487d-a4fc-120eb234f668
Roose, Tiina
3581ab5b-71e1-4897-8d88-59f13f3bccfe

Palmer, Gwen (2013) Modelling neuronal activity at the knee joint. University of Southampton, Faculty of Engineering and the Environment, Doctoral Thesis, 194pp.

Record type: Thesis (Doctoral)

Abstract

The knee is a complex joint, prone to instability and damage, meaning a complicated architecture of soft tissues is necessary to ensure any stability of the joint. These structures are innervated, and play an important role in both proprioception, the sensing of a body’s own limb positions, and nociception, the sensing of painful stimuli. The purpose of this project has been to develop a computational model that can replicate the behaviour of the mechanical sensing nerve endings in the knee joint. An adapted Hodgkin-Huxley model has been developed and used to simulate the behaviour of the nerve endings. These models have been coupled with a three dimensional finite element model of a feline knee joint, which has been built with use of x-ray CT and MRI scans of a cat’s hind limb, allowing neural responses to be predicted as the position of the knee joint changes. Once the behaviour of the complete model has been verified, through comparisons with recordings of neural responses in the literature, it was possible to observe the effect of removing a soft tissue structure on the neural response. The anterior cruciate ligament (ACL) was removed from the model, and a series of tests run to determine the effect of ligament damage on neural response. It was predicted that removing the ACL from the knee joint can increase the neural responses to changes in knee position, agreeing with data in the literature. This could indicate an increase in pain at the joint, and could help with understanding the causes of pain and changes proprioception experienced by patients with damaged ACL.

Text
Final thesis - Palmer 2014 - Version of Record
Available under License University of Southampton Thesis Licence.
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More information

Published date: 2013
Organisations: University of Southampton, Bioengineering Group

Identifiers

Local EPrints ID: 363112
URI: http://eprints.soton.ac.uk/id/eprint/363112
PURE UUID: 2abe9e28-9be1-4ca6-bd1d-478fb1eb78b5
ORCID for Tiina Roose: ORCID iD orcid.org/0000-0001-8710-1063

Catalogue record

Date deposited: 25 Mar 2014 15:31
Last modified: 21 Feb 2019 01:32

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