Literature DB >> 19292657

Effects of white, grey, and pia mater properties on tissue level stresses and strains in the compressed spinal cord.

Carolyn J Sparrey1, Geoffrey T Manley, Tony M Keaveny.   

Abstract

Recent demographics demonstrate an increase in the number of elderly spinal cord injury patients, motivating the desire for a better understanding of age effects on injury susceptibility. Knowing that age and disease affect neurological tissue, there is a need to better understand the sensitivity of spinal cord injury mechanics to variations in tissue behavior. To address this issue, a plane-strain, geometrically nonlinear, finite element model of a section of a generic human thoracic spinal cord was constructed to model the response to dorsal compression. The material models and stiffness responses for the grey and white matter and pia mater were varied across a range of reported values to observe the sensitivity of model outcomes to the assigned properties. Outcome measures were evaluated for percent change in magnitude and alterations in spatial distribution. In general, principal stresses (114-244% change) and pressure (75-119% change) were the outcomes most sensitive to material variation. Strain outcome measures were less sensitive (7-27% change) than stresses (74-244% change) to variations in material tangent modulus. The pia mater characteristics had limited (<4% change) effects on outcomes. Using linear elastic models to represent non-linear behavior had variable effects on outcome measures, and resulted in highly concentrated areas of elevated stresses and strains. Pressure measurements in both the grey and white matter were particularly sensitive to white matter properties, suggesting that degenerative changes in white matter may influence perfusion in a compressed spinal cord. Our results suggest that the mechanics of spinal cord compression are likely to be affected by changes in tissue resulting from aging and disease, indicating a need to study the biomechanical aspects of spinal cord injury in these specific populations.

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Year:  2009        PMID: 19292657      PMCID: PMC2877118          DOI: 10.1089/neu.2008.0654

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  33 in total

1.  Gray matter of the bovine cervical spinal cord is mechanically more rigid and fragile than the white matter.

Authors:  K Ichihara; T Taguchi; Y Shimada; I Sakuramoto; S Kawano; S Kawai
Journal:  J Neurotrauma       Date:  2001-03       Impact factor: 5.269

2.  Axonal changes in chronic demyelinated cervical spinal cord plaques.

Authors:  G Lovas; N Szilágyi; K Majtényi; M Palkovits; S Komoly
Journal:  Brain       Date:  2000-02       Impact factor: 13.501

3.  The mechanical properties of rat spinal cord in vitro.

Authors:  Rodney J Fiford; Lynne E Bilston
Journal:  J Biomech       Date:  2005-07       Impact factor: 2.712

4.  The biomechanical response of spinal cord tissue to uniaxial loading.

Authors:  R J Oakland; R M Hall; R K Wilcox; D C Barton
Journal:  Proc Inst Mech Eng H       Date:  2006-05       Impact factor: 1.617

5.  Correlations between tissue-level stresses and strains and cellular damage within the guinea pig spinal cord white matter.

Authors:  Beth Galle; Hui Ouyang; Riyi Shi; Eric Nauman
Journal:  J Biomech       Date:  2007-08-06       Impact factor: 2.712

6.  Towards a reliable characterisation of the mechanical behaviour of brain tissue: The effects of post-mortem time and sample preparation.

Authors:  A Garo; M Hrapko; J A W van Dommelen; G W M Peters
Journal:  Biorheology       Date:  2007       Impact factor: 1.875

7.  Perfusion-limited recovery of evoked potential function after spinal cord injury.

Authors:  G D Carlson; C D Gorden; S Nakazowa; E Wada; K Warden; J C LaManna
Journal:  Spine (Phila Pa 1976)       Date:  2000-05-15       Impact factor: 3.468

8.  A three-dimensional finite element model of the cervical spine with spinal cord: an investigation of three injury mechanisms.

Authors:  Carolyn Y Greaves; Mohamed S Gadala; Thomas R Oxland
Journal:  Ann Biomed Eng       Date:  2008-01-29       Impact factor: 3.934

9.  Incidence and outcomes of spinal cord injury clinical syndromes.

Authors:  William McKinley; Katia Santos; Michelle Meade; Karen Brooke
Journal:  J Spinal Cord Med       Date:  2007       Impact factor: 1.985

10.  Biomechanical response of the bovine pia-arachnoid complex to tensile loading at varying strain-rates.

Authors:  Xin Jin; Jong B Lee; Lai Yee Leung; Liying Zhang; King H Yang; Albert I King
Journal:  Stapp Car Crash J       Date:  2006-11
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  19 in total

1.  Cervical ossification of the posterior longitudinal ligament: factors affecting the effect of posterior decompression.

Authors:  Norihiro Nishida; Tsukasa Kanchiku; Yoshihiko Kato; Yasuaki Imajo; Hidenori Suzuki; Yuichiro Yoshida; Junji Ohgi; Xian Chen; Toshihiko Taguchi
Journal:  J Spinal Cord Med       Date:  2016-01-20       Impact factor: 1.985

2.  Stress analysis of the cervical spinal cord: Impact of the morphology of spinal cord segments on stress.

Authors:  Norihiro Nishida; Tsukasa Kanchiku; Yasuaki Imajo; Hidenori Suzuki; Yuichiro Yoshida; Yoshihiko Kato; Daisuke Nakashima; Toshihiko Taguchi
Journal:  J Spinal Cord Med       Date:  2016-02-25       Impact factor: 1.985

3.  Relating Histopathology and Mechanical Strain in Experimental Contusion Spinal Cord Injury in a Rat Model.

Authors:  Tim Bhatnagar; Jie Liu; Andrew Yung; Peter Cripton; Piotr Kozlowski; Wolfram Tetzlaff; Thomas Oxland
Journal:  J Neurotrauma       Date:  2016-04-08       Impact factor: 5.269

4.  Comparison of in vivo and ex vivo viscoelastic behavior of the spinal cord.

Authors:  Nicole L Ramo; Snehal S Shetye; Femke Streijger; Jae H T Lee; Kevin L Troyer; Brian K Kwon; Peter Cripton; Christian M Puttlitz
Journal:  Acta Biomater       Date:  2017-12-26       Impact factor: 8.947

5.  Independent evaluation of the effects of glibenclamide on reducing progressive hemorrhagic necrosis after cervical spinal cord injury.

Authors:  Phillip G Popovich; Stanley Lemeshow; John C Gensel; C Amy Tovar
Journal:  Exp Neurol       Date:  2010-12-09       Impact factor: 5.330

6.  Nonlinear viscoelastic characterization of the porcine spinal cord.

Authors:  Snehal S Shetye; Kevin L Troyer; Femke Streijger; Jae H T Lee; Brian K Kwon; Peter A Cripton; Christian M Puttlitz
Journal:  Acta Biomater       Date:  2013-11-07       Impact factor: 8.947

7.  Softening of the chronic hemi-section spinal cord injury scar parallels dysregulation of cellular and extracellular matrix content.

Authors:  Hannah J Baumann; Gautam Mahajan; Trevor R Ham; Patricia Betonio; Chandrasekhar R Kothapalli; Leah P Shriver; Nic D Leipzig
Journal:  J Mech Behav Biomed Mater       Date:  2020-06-30

8.  Insertion of a three dimensional silicon microelectrode assembly through a thick meningeal membrane.

Authors:  Taneev Escamilla-Mackert; Nicholas B Langhals; Takashi D Y Kozai; Daryl R Kipke
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

9.  An in-vitro traumatic model to evaluate the response of myelinated cultures to sustained hydrostatic compression injury.

Authors:  Laura R Frieboes; Ranjan Gupta
Journal:  J Neurotrauma       Date:  2009-12       Impact factor: 5.269

10.  Mechanical Design and Analysis of a Unilateral Cervical Spinal Cord Contusion Injury Model in Non-Human Primates.

Authors:  Carolyn J Sparrey; Ernesto A Salegio; William Camisa; Horace Tam; Michael S Beattie; Jacqueline C Bresnahan
Journal:  J Neurotrauma       Date:  2016-04-19       Impact factor: 5.269

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