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

作者
David B. MacManus,Mazdak Ghajari
出处
期刊:Brain multiphysics [Elsevier BV]
卷期号:3: 100059-100059 被引量:27
标识
DOI:10.1016/j.brain.2022.100059
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
轻松雁蓉发布了新的文献求助10
刚刚
在水一方的应助被CTT采纳,获得10
1秒前
手打鱼丸完成签到 ,获得积分10
1秒前
1秒前
莹莹发布了新的文献求助30
2秒前
我爱科研发布了新的文献求助10
2秒前
王好发布了新的文献求助10
2秒前
哇塞的完成签到,获得积分10
3秒前
3秒前
3秒前
老的火龙果的应助被jinyu采纳,获得10
5秒前
不嘻嘻嘻的应助被温暖诗蕊采纳,获得10
5秒前
饭ff发布了新的文献求助10
6秒前
悦123456发布了新的文献求助10
6秒前
Orange的应助被qi采纳,获得10
7秒前
高高从云完成签到 ,获得积分10
7秒前
白猫发布了新的文献求助10
7秒前
gao发布了新的文献求助10
8秒前
SciGPT的应助被zdsa采纳,获得10
8秒前
zhou完成签到,获得积分10
8秒前
10秒前
11秒前
11秒前
科研通AI6.4的应助被Jason采纳,获得30
11秒前
bao关注了科研通微信公众号
11秒前
11秒前
Joan_Joestar发布了新的文献求助10
11秒前
dudu完成签到 ,获得积分10
12秒前
12秒前
悦123456完成签到,获得积分10
13秒前
14秒前
14秒前
啦嗖儿发布了新的文献求助10
15秒前
科研牛马发布了新的文献求助30
15秒前
欣喜飞飞发布了新的文献求助10
15秒前
15秒前
dianeil发布了新的文献求助10
16秒前
h1发布了新的文献求助10
16秒前
风趣的凡发布了新的文献求助10
17秒前
桐桐的应助被善良海豚采纳,获得10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
自動車の空力技術 800
Biographisches Lexikon der hervorragenden Ärzte der letzten fünfzig Jahre [1880–1930]. Zugleich Fortsetzung des Biographischen Lexikons der hervorragenden Ärzte aller Zeiten und Völker 600
Organizational Behavior 510
Management and the Arts 510
Issues in Task-Based Language Teaching 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7786979
求助须知:如何正确求助?哪些是违规求助? 9325533
关于积分的说明 20405843
捐赠科研通 7375918
什么是DOI,文献DOI怎么找? 3321902
关于科研通互助平台的介绍 2469811
邀请新用户注册赠送积分活动 2338564