A combined functional dorsal nerve model of the foot
The nerves in the skin surface of the foot are comprised of unmyelinated smaller somatic nerves and larger myelinated sensory nerves. Current diagnostic methods are unable to evaluate combined nerve conduction velocity (NCV) from both unmyelinated smaller somatic nerve (USSN) and myelinated larger n...
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-06-01
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| Series: | Mathematical Biosciences and Engineering |
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| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022433?viewType=HTML |
| _version_ | 1828763137201930240 |
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| author | Muhammad Z. Ul Haque Peng Du Leo K. Cheng |
| author_facet | Muhammad Z. Ul Haque Peng Du Leo K. Cheng |
| author_sort | Muhammad Z. Ul Haque |
| collection | DOAJ |
| description | The nerves in the skin surface of the foot are comprised of unmyelinated smaller somatic nerves and larger myelinated sensory nerves. Current diagnostic methods are unable to evaluate combined nerve conduction velocity (NCV) from both unmyelinated smaller somatic nerve (USSN) and myelinated larger nerves (MLN) respectively. Computational models may provide an alternative tool to determine the NCV of the combined nerve. Therefore, a combined functional dorsal nerve model (CFDNM) of the various dorsal nerves along with its associated nerve ending of the human foot is proposed and constructed. The combined dorsal nerve model consists of synthetic USSN (SUSSN) and dorsal MLN of the foot. The unmyelinated as well as myelinated electrophysiological nerve models were used to simulate selected SUSSN and MLN of the foot by injecting an external stimulus at the most distal part of SUSSN of the foot through the use of bidomain model. Results from our work demonstrated that the action potential propagated from the most distal part to proximal part of distinct dorsal nerves of the foot, e.g., the simulated NCV of the combined intermediate dorsal cutaneous nerve (IDCN) of the foot was 28.4 m s-1. The CFDNM will provide a vital tool for diagnosis initially small fibre neuropathy (SFN) by computing NCV in the prospective studies. |
| first_indexed | 2024-12-11T01:56:01Z |
| format | Article |
| id | doaj.art-b8800c9981334040a7b7c58284915e44 |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-12-11T01:56:01Z |
| publishDate | 2022-06-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-b8800c9981334040a7b7c58284915e442022-12-22T01:24:38ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-06-011999321933410.3934/mbe.2022433A combined functional dorsal nerve model of the footMuhammad Z. Ul Haque0Peng Du1Leo K. Cheng21. Department of Biomedical Engineering, Salim Habib University, Karachi, Pakistan 2. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand2. Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand2. Auckland Bioengineering Institute, University of Auckland, Auckland, New ZealandThe nerves in the skin surface of the foot are comprised of unmyelinated smaller somatic nerves and larger myelinated sensory nerves. Current diagnostic methods are unable to evaluate combined nerve conduction velocity (NCV) from both unmyelinated smaller somatic nerve (USSN) and myelinated larger nerves (MLN) respectively. Computational models may provide an alternative tool to determine the NCV of the combined nerve. Therefore, a combined functional dorsal nerve model (CFDNM) of the various dorsal nerves along with its associated nerve ending of the human foot is proposed and constructed. The combined dorsal nerve model consists of synthetic USSN (SUSSN) and dorsal MLN of the foot. The unmyelinated as well as myelinated electrophysiological nerve models were used to simulate selected SUSSN and MLN of the foot by injecting an external stimulus at the most distal part of SUSSN of the foot through the use of bidomain model. Results from our work demonstrated that the action potential propagated from the most distal part to proximal part of distinct dorsal nerves of the foot, e.g., the simulated NCV of the combined intermediate dorsal cutaneous nerve (IDCN) of the foot was 28.4 m s-1. The CFDNM will provide a vital tool for diagnosis initially small fibre neuropathy (SFN) by computing NCV in the prospective studies.https://www.aimspress.com/article/doi/10.3934/mbe.2022433?viewType=HTMLmyelinated sensory nerveunmyelinated somatic nervenerve conduction velocitycomputational modelelectrophysiological nerve modelaction potentialsmall fibre neuropathy |
| spellingShingle | Muhammad Z. Ul Haque Peng Du Leo K. Cheng A combined functional dorsal nerve model of the foot Mathematical Biosciences and Engineering myelinated sensory nerve unmyelinated somatic nerve nerve conduction velocity computational model electrophysiological nerve model action potential small fibre neuropathy |
| title | A combined functional dorsal nerve model of the foot |
| title_full | A combined functional dorsal nerve model of the foot |
| title_fullStr | A combined functional dorsal nerve model of the foot |
| title_full_unstemmed | A combined functional dorsal nerve model of the foot |
| title_short | A combined functional dorsal nerve model of the foot |
| title_sort | combined functional dorsal nerve model of the foot |
| topic | myelinated sensory nerve unmyelinated somatic nerve nerve conduction velocity computational model electrophysiological nerve model action potential small fibre neuropathy |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022433?viewType=HTML |
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