Literature DB >> 18278594

Region-specific tolerance criteria for the living brain.

Benjamin S Elkin1, Barclay Morrison.   

Abstract

Computational models of traumatic brain injury (TBI) can predict injury-induced brain deformation. However, predicting the biological consequences (i.e. cell death or dysfunction) of induced brain deformation requires tolerance criteria. Here, we present a tolerance criterion for the cortex which exhibits important differences from that of the hippocampus. Organotypic slice cultures of the rat cortex, which maintain tissue architecture and cell content consistent with that in vivo, were mechanically injured with an in vitro model described previously. Cultures were stretched equibiaxially up to 0.35 Lagrangian strain at strain rates up to 50 s(-1). Cell death was quantified at 1, 2, 3, and 4 days following injury. Statistical analysis (repeated measures ANOVA) showed that all three factors (Strain, Strain Rate, and Time post-injury) significantly affected cell death. An equation describing cell death as a function of the significant parameters was then fit to the data. Compared to the hippocampus, the cortex was less vulnerable to stretch-induced injury and demonstrated a strain threshold below 0.20. Strain rate was also a significant factor for cortical but not hippocampal cell death. Cortical cell death began at an earlier time point than in the hippocampus, with cell death evident at 1 day post-injury versus 3 days in the hippocampus. In conclusion, different regions of the brain respond differently to identical mechanical stimuli, and this difference should be incorporated into finite element models of TBI if they are to more accurately predict in vivo consequences of TBI.

Entities:  

Mesh:

Year:  2007        PMID: 18278594     DOI: 10.4271/2007-22-0005

Source DB:  PubMed          Journal:  Stapp Car Crash J        ISSN: 1532-8546


  41 in total

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3.  Connecting fractional anisotropy from medical images with mechanical anisotropy of a hyperviscoelastic fibre-reinforced constitutive model for brain tissue.

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4.  Strong Correlation of Genome-Wide Expression after Traumatic Brain Injury In Vitro and In Vivo Implicates a Role for SORLA.

Authors:  Michael R Lamprecht; Benjamin S Elkin; Kartik Kesavabhotla; John F Crary; Jennifer L Hammers; Jimmy W Huh; Ramesh Raghupathi; Barclay Morrison
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5.  Computational modelling of traumatic brain injury predicts the location of chronic traumatic encephalopathy pathology.

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6.  Experimental mild traumatic brain injury induces functional alteration of the developing hippocampus.

Authors:  Zhe Yu; Barclay Morrison
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7.  Finite element analysis of controlled cortical impact-induced cell loss.

Authors:  Haojie Mao; Xin Jin; Liying Zhang; King H Yang; Takuji Igarashi; Linda J Noble-Haeusslein; Albert I King
Journal:  J Neurotrauma       Date:  2010-05       Impact factor: 5.269

8.  Monitoring hippocampus electrical activity in vitro on an elastically deformable microelectrode array.

Authors:  Zhe Yu; Oliver Graudejus; Candice Tsay; Stéphanie P Lacour; Sigurd Wagner; Barclay Morrison
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9.  Injury prediction and vulnerability assessment using strain and susceptibility measures of the deep white matter.

Authors:  Wei Zhao; Yunliang Cai; Zhigang Li; Songbai Ji
Journal:  Biomech Model Mechanobiol       Date:  2017-05-12

10.  Why is CA3 more vulnerable than CA1 in experimental models of controlled cortical impact-induced brain injury?

Authors:  Haojie Mao; Benjamin S Elkin; Vinay V Genthikatti; Barclay Morrison; King H Yang
Journal:  J Neurotrauma       Date:  2013-08-03       Impact factor: 5.269

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