Literature DB >> 35034227

Region-Dependent Viscoelastic Properties of Human Brain Tissue Under Large Deformations.

Sowmya N Sundaresh1, John D Finan1, Benjamin S Elkin1, Andrew V Basilio1, Guy M McKhann2, Barclay Morrison3.   

Abstract

This study characterizes the mechanical properties of human brain tissue resected during the course of surgery under multistep indentation loading up to 30% strain. The experimental characterization using fresh, post-operative, human brain tissue is highly advantageous since postmortem times can affect its biomechanical behavior. Although the quasilinear theory of viscoelasticity (QLV) approach has been widely used to model brain tissue mechanical properties, our analysis concluded that the linear viscoelastic approach provided a better fit to the experimental data overall. The only statistically significant regional difference in observed stiffness was between the cortex gray and dentate gyrus. There were no statistically significant age or sex dependent differences, although the data suggested that the cortex white matter in males was stiffer than that in females. Our results can help improve the accuracy of finite element models of brain tissue deformation to predict its response to traumatic brain injury.
© 2022. The Author(s) under exclusive licence to Biomedical Engineering Society.

Entities:  

Keywords:  Biomechanics; Constitutive model; Indentation; Quasilinear theory of viscoelasticity

Year:  2022        PMID: 35034227     DOI: 10.1007/s10439-022-02910-7

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  37 in total

1.  Mechanical difference between white and gray matter in the rat cerebellum measured by scanning force microscopy.

Authors:  Andreas F Christ; Kristian Franze; Helene Gautier; Pouria Moshayedi; James Fawcett; Robin J M Franklin; Ragnhildur T Karadottir; Jochen Guck
Journal:  J Biomech       Date:  2010-07-24       Impact factor: 2.712

2.  Towards child versus adult brain mechanical properties.

Authors:  S Chatelin; J Vappou; S Roth; J S Raul; R Willinger
Journal:  J Mech Behav Biomed Mater       Date:  2011-10-12

3.  Exploring the mechanical behavior of degrading swine neural tissue at low strain rates via the fractional Zener constitutive model.

Authors:  Sarah A Bentil; Rebecca B Dupaix
Journal:  J Mech Behav Biomed Mater       Date:  2013-11-07

4.  Dynamic, regional mechanical properties of the porcine brain: indentation in the coronal plane.

Authors:  Benjamin S Elkin; Ashok Ilankova; Barclay Morrison
Journal:  J Biomech Eng       Date:  2011-07       Impact factor: 2.097

5.  Mechanical characterization of human brain tissue.

Authors:  S Budday; G Sommer; C Birkl; C Langkammer; J Haybaeck; J Kohnert; M Bauer; F Paulsen; P Steinmann; E Kuhl; G A Holzapfel
Journal:  Acta Biomater       Date:  2016-10-27       Impact factor: 8.947

6.  Mechanical properties of gray and white matter brain tissue by indentation.

Authors:  Silvia Budday; Richard Nay; Rijk de Rooij; Paul Steinmann; Thomas Wyrobek; Timothy C Ovaert; Ellen Kuhl
Journal:  J Mech Behav Biomed Mater       Date:  2015-03-02

7.  Age-dependent regional mechanical properties of the rat hippocampus and cortex.

Authors:  Benjamin S Elkin; Ashok Ilankovan; Barclay Morrison
Journal:  J Biomech Eng       Date:  2010-01       Impact factor: 2.097

8.  Evaluation of White Matter Injury Patterns Underlying Neuropsychiatric Symptoms after Mild Traumatic Brain Injury.

Authors:  Lea M Alhilali; Joseph A Delic; Serter Gumus; Saeed Fakhran
Journal:  Radiology       Date:  2015-06-16       Impact factor: 11.105

Review 9.  Mechanical forces in cerebral cortical folding: a review of measurements and models.

Authors:  P V Bayly; L A Taber; C D Kroenke
Journal:  J Mech Behav Biomed Mater       Date:  2013-03-14

10.  Newfound sex differences in axonal structure underlie differential outcomes from in vitro traumatic axonal injury.

Authors:  Jean-Pierre Dollé; Andrew Jaye; Stewart A Anderson; Hossein Ahmadzadeh; Vivek B Shenoy; Douglas H Smith
Journal:  Exp Neurol       Date:  2017-11-22       Impact factor: 5.330

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