Literature DB >> 28720407

Mechanical properties of the human spinal cord under the compressive loading.

Alireza Karimi1, Ahmad Shojaei2, Pedram Tehrani3.   

Abstract

The spinal cord as the most complex and critical part of the human body is responsible for the transmission of both motor and sensory impulses between the body and the brain. Due to its pivotal role any types of physical injury in that disrupts its function following by shortfalls, including the minor motor and sensory malfunctions as well as complicate quadriplegia and lifelong ventilator dependency. In order to shed light on the injuries to the spinal cord, the application of the computational models to simulate the trauma impact loading to that are deemed required. Nonetheless, it has not been fulfilled since there is a paucity of knowledge about the mechanical properties of the spinal cord, especially the cervical one, under the compressive loading on the grounds of the difficulty in obtaining this tissue from the human body. This study was aimed at experimentally measuring the mechanical properties of the human cervical spinal cord of 24 isolated fresh samples under the unconfined compressive loading at a relatively low strain rate. The stress-strain data revealed the elastic modulus and maximum/failure stress of 40.12±6.90 and 62.26±5.02kPa, respectively. Owing to the nonlinear response of the spinal cord, the Yeoh, Ogden, and Mooney-Rivlin hyperelastic material models have also been employed. The results may have implications not only for understanding the linear elastic and nonlinear hyperelastic mechanical properties of the cervical spinal cord under the compressive loading, but also for providing a raw data for investigating the injury as a result of the trauma thru the numerical simulations.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Compressive loading; Elastic modulus; Failure stress; Hyperelastic models; Mechanical properties; Spinal cord

Mesh:

Year:  2017        PMID: 28720407     DOI: 10.1016/j.jchemneu.2017.07.004

Source DB:  PubMed          Journal:  J Chem Neuroanat        ISSN: 0891-0618            Impact factor:   3.052


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