Material properties of human brain tissue suitable for modelling traumatic brain injury

Q3 Engineering Brain multiphysics Pub Date : 2022-01-01 DOI:10.1016/j.brain.2022.100059
David B. MacManus , Mazdak Ghajari
{"title":"Material properties of human brain tissue suitable for modelling traumatic brain injury","authors":"David B. MacManus ,&nbsp;Mazdak Ghajari","doi":"10.1016/j.brain.2022.100059","DOIUrl":null,"url":null,"abstract":"<div><p>Finite element (FE) brain models have revolutionised research on the biomechanics of traumatic brain injury (TBI). The accuracy and reliability of results arising from brain models depend equally on their geometric accuracy as the quality of the material properties used to describe the mechanical behaviour of brain. However, much of the literature on human brain tissues’ material properties have been performed at low strain rates and strains. This is particularly striking considering a large portion of the brain tissue mechanical characterisation literature is presented with a motivation of understanding brain tissues’ behaviour during TBI which occurs due to brain tissues’ exposure to large strains at high strain rates. Therefore, the aim of this review is to collate the mechanical characterisation studies on human brain tissue under conditions suitable for modelling TBI. We first review injury threshold studies and show that ≥20% strain at ≥10/s strain rate is a reasonable minimum threshold for producing injury to the brain. Using this threshold, we show that there are only five studies on the mechanical characterisation of human brain tissue under strains at strain rates relevant to TBI. These studies, provide material properties of human brain tissue at moderate and high rate loading, with only a recent study showing its region dependent characteristics. This review acts as a reference for scientists and engineers to select suitable material data when modelling human TBI. It also calls for more research to provide high fidelity material properties for modelling of TBI.</p></div><div><h3>Statement of significance</h3><p>The significance of this work is underscored by the reporting of brain tissues’ material properties in the context of traumatic brain injury (TBI) despite these properties having been characterised under strains and strain rates that are not relevant to TBI. This can result in inaccurate results if implemented in finite element brain models. Here, we address this problem by performing a review on the mechanical characterisation of human brain tissue under conditions that are suitable for modelling human TBI. Our findings show that there are only five studies on the mechanical characterisation of human brain tissue under strains at strain rate levels relevant to TBI. These results will allow researchers to select appropriate material properties for modelling human TBI providing more realistic behaviour of brain tissue in simulations. These results also provide minimum strain and strain rate values for mechanical characterisation experiments on brain tissue for TBI applications. Furthermore, our findings highlight the lack of suitable material properties of human brain tissue for modelling TBI and calls for more research into mechanical characterisation of human brain tissue under large strain at high strain rates.</p></div>","PeriodicalId":72449,"journal":{"name":"Brain multiphysics","volume":"3 ","pages":"Article 100059"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666522022000168/pdfft?md5=7fc489852e1e72c5bf0742d7e90b1429&pid=1-s2.0-S2666522022000168-main.pdf","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain multiphysics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666522022000168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 4

Abstract

Finite element (FE) brain models have revolutionised research on the biomechanics of traumatic brain injury (TBI). The accuracy and reliability of results arising from brain models depend equally on their geometric accuracy as the quality of the material properties used to describe the mechanical behaviour of brain. However, much of the literature on human brain tissues’ material properties have been performed at low strain rates and strains. This is particularly striking considering a large portion of the brain tissue mechanical characterisation literature is presented with a motivation of understanding brain tissues’ behaviour during TBI which occurs due to brain tissues’ exposure to large strains at high strain rates. Therefore, the aim of this review is to collate the mechanical characterisation studies on human brain tissue under conditions suitable for modelling TBI. We first review injury threshold studies and show that ≥20% strain at ≥10/s strain rate is a reasonable minimum threshold for producing injury to the brain. Using this threshold, we show that there are only five studies on the mechanical characterisation of human brain tissue under strains at strain rates relevant to TBI. These studies, provide material properties of human brain tissue at moderate and high rate loading, with only a recent study showing its region dependent characteristics. This review acts as a reference for scientists and engineers to select suitable material data when modelling human TBI. It also calls for more research to provide high fidelity material properties for modelling of TBI.

Statement of significance

The significance of this work is underscored by the reporting of brain tissues’ material properties in the context of traumatic brain injury (TBI) despite these properties having been characterised under strains and strain rates that are not relevant to TBI. This can result in inaccurate results if implemented in finite element brain models. Here, we address this problem by performing a review on the mechanical characterisation of human brain tissue under conditions that are suitable for modelling human TBI. Our findings show that there are only five studies on the mechanical characterisation of human brain tissue under strains at strain rate levels relevant to TBI. These results will allow researchers to select appropriate material properties for modelling human TBI providing more realistic behaviour of brain tissue in simulations. These results also provide minimum strain and strain rate values for mechanical characterisation experiments on brain tissue for TBI applications. Furthermore, our findings highlight the lack of suitable material properties of human brain tissue for modelling TBI and calls for more research into mechanical characterisation of human brain tissue under large strain at high strain rates.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
适用于创伤性脑损伤模型的人脑组织材料特性
有限元脑模型已经彻底改变了创伤性脑损伤(TBI)的生物力学研究。大脑模型得出的结果的准确性和可靠性同样取决于它们的几何精度,也取决于用来描述大脑力学行为的材料特性的质量。然而,许多关于人类脑组织材料特性的文献都是在低应变率和应变下进行的。考虑到大部分脑组织力学表征文献都是为了理解脑组织在TBI期间的行为,这是由于脑组织以高应变率暴露于大应变而发生的,这一点尤其引人注目。因此,本综述的目的是整理适合模拟TBI的条件下人脑组织的力学特性研究。我们首先回顾了损伤阈值研究,并表明≥20%的应变,≥10/s的应变速率是对大脑产生损伤的合理的最小阈值。使用这一阈值,我们表明只有五项研究在应变率下与TBI相关的人类脑组织的力学特性。这些研究提供了人类脑组织在中高负荷下的材料特性,只有最近的一项研究显示了其区域依赖特性。这篇综述为科学家和工程师在模拟人类脑损伤时选择合适的材料数据提供了参考。这也需要更多的研究来为TBI建模提供高保真的材料特性。这项工作的重要性通过报道创伤性脑损伤(TBI)背景下的脑组织材料特性而得到强调,尽管这些特性是在与TBI无关的应变和应变速率下表征的。如果在有限元素脑模型中实现,可能会导致不准确的结果。在这里,我们通过在适合模拟人类TBI的条件下对人类脑组织的机械特征进行回顾来解决这个问题。我们的研究结果表明,在与TBI相关的应变率水平下,只有五项关于人脑组织力学特征的研究。这些结果将允许研究人员选择合适的材料特性来模拟人类脑外伤,在模拟中提供更真实的脑组织行为。这些结果也为TBI应用的脑组织力学特性实验提供了最小应变和应变速率值。此外,我们的发现强调了缺乏合适的人脑组织材料特性来模拟TBI,并呼吁对大应变下高应变率下人脑组织的力学特性进行更多的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Brain multiphysics
Brain multiphysics Physics and Astronomy (General), Modelling and Simulation, Neuroscience (General), Biomedical Engineering
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
68 days
期刊最新文献
Diffusive secondary injuries in neuronal networks following a blast impact: A morphological and electrophysiological study using a TBI-on-a-Chip model Two for tau: Automated model discovery reveals two-stage tau aggregation dynamics in Alzheimer’s disease Scaling in the brain Quantifying CSF Dynamics disruption in idiopathic normal pressure hydrocephalus using phase lag between transmantle pressure and volumetric flow rate Increased hindbrain motion in Chiari I malformation patients measured through 3D amplified MRI (3D aMRI)
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1