A finite element model for biomechanical characterization of ex vivo peripheral nerve dysfunction during stretch

Peripheral nerve damage can cause debilitating symptoms ranging from numbness and pain to sensory loss and atrophy. To uncover the underlying mechanisms of peripheral nerve injury, our research aims to develop a relationship between biomechanical peripheral nerve damage and function through finite element modeling. A noncontact, ex vivo electrophysiology chamber, capable of axially stretching explanted nerves while recording electrical signals, was used to investigate peripheral nerve injury. Successive stretch trials were run on eight sciatic nerves (four females and four males) excised from Sprague-Dawley rats. Nerves were stretched until 50% compound action potential (CAP) amplitude reduction was obtained. A constitutive model developed by Raghavan and Vorp was suitable for rat sciatic nerves, with an average α and β of 0.183 MPa and 1.88 MPa, respectively. We then generated 95% confidence intervals for the stretch at which specific CAP amplitude reductions would occur, which compares well to previous studies. We also developed a finite element model that can predict stretch-induced signaling deficits, applicable for complex nerve geometries and injuries. This relationship between nerve biomechanics and function can be expanded upon to create a clinical model for peripheral nerve dysfunction due to stretch.

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Publication Details

Journal
Physiological Reports
Published
2024-11-01
DOI
https://doi.org/10.14814/phy2.70125
Citations
2
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.54

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article

A finite element model for biomechanical characterization of ex vivo peripheral nerve dysfunction during stretch

Jonathan P. Vande Geest, Jenny L. Pierce, Nicholaus Meyers, Stefan Kaufmann et al.
2 citations
Physiological Reports
Neuroscience and Neural Engineering
0.54
article

A finite element model for biomechanical characterization of ex vivo peripheral nerve dysfunction during stretch

Jonathan P. Vande Geest, Jenny L. Pierce, Nicholaus Meyers, Stefan Kaufmann, Randal C. Paniello, Julie Barkmeier‐Kraemer, Michael B. Christensen, Adam M. Forrest, Nicholas C. Vasas, Kimberly B. Lanaghen
article en
2 citations

Abstract

Peripheral nerve damage can cause debilitating symptoms ranging from numbness and pain to sensory loss and atrophy. To uncover the underlying mechanisms of peripheral nerve injury, our research aims to develop a relationship between biomechanical peripheral nerve damage and function through finite element modeling. A noncontact, ex vivo electrophysiology chamber, capable of axially stretching explanted nerves while recording electrical signals, was used to investigate peripheral nerve injury. Successive stretch trials were run on eight sciatic nerves (four females and four males) excised from Sprague-Dawley rats. Nerves were stretched until 50% compound action potential (CAP) amplitude reduction was obtained. A constitutive model developed by Raghavan and Vorp was suitable for rat sciatic nerves, with an average α and β of 0.183 MPa and 1.88 MPa, respectively. We then generated 95% confidence intervals for the stretch at which specific CAP amplitude reductions would occur, which compares well to previous studies. We also developed a finite element model that can predict stretch-induced signaling deficits, applicable for complex nerve geometries and injuries. This relationship between nerve biomechanics and function can be expanded upon to create a clinical model for peripheral nerve dysfunction due to stretch.

Physiological ReportsVol. 12(21)
University of Pittsburgh (US), Washington University in St. Louis (US), University of Utah (US), McGowan Institute for Regenerative Medicine (US)
University of Pittsburgh, National Institutes of Health, Swanson School of Engineering, University of Pittsburgh, National Institute on Deafness and Other Communication Disorders
Good health and well-being
Openalex Percentile: Top 34%
Neuroscience and Neural Engineering
0.54
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