Mechanical threshold for concussion based on computation of axonal strain using a finite element rat brain model

Q3 Engineering
Sumedha Premi , Caroline Deck , Brian D. Stemper , Rémy Willinger
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引用次数: 2

Abstract

Concussion, in spite of being a mild traumatic brain injury, involves serious long term consequences and can adversely affect the life of an individual, their family and the wider society. Since, diffuse axonal injury (DAI) is known to be one of the most frequent pathological features of traumatic brain injury (TBI), knowledge of the mechanical threshold for concussion in terms of axonal strain can help in developing better brain injury prediction tools in the context of head protection system optimization and the management of sport related concussions. This paper presents development, validation and utilization of an anisotropic viscous hyperelastic finite element rat brain model for investigation of the mechanical threshold for concussion in terms of axonal strain. For the investigation, twenty-six well documented cases of experimental concussion were simulated. A thorough statistical analysis of global kinematic parameters (maximum rotational acceleration and duration) and intra-cerebral parameters (maximum axonal strain, maximum strain energy, maximum von Mises stress, maximum von Mises strain, maximum shear stress, maximum shear strain, maximum principal stress, maximum principal strain, minimum pressure and maximum pressure) revealed that intra-cerebral parameters are better suited for the prediction of concussion than the global kinematic parameters. The estimated tolerance level for a 50% risk of concussion was found to be 8.97% of maximum axonal strain. The results are promising and hence, this study is not only a key step towards better understanding of concussion, but it also contributes towards concussion related investigations.

Statement of Significance

A number of studies have identified axonal strain as one of the key metrics for the prediction of concussion through biomechanical simulations. Where infeasibility of experimentation on in-vivo human brain limits the in-depth investigation, animal models have proved to be efficient. None of the existing finite element rat brain models have taken anisotropy, based on the rat brain DTI, into account, which is rather a crucial aspect for the fidelity. The present study provides a validated anisotropic viscous hyperelastic finite element rat brain model, which was successfully applied for the simulations of experimental concussive loadings on the rat brain and furnished promising results that are in accordance with the literature. As such, it is helpful in developing more accurate brain injury prediction tools in the context of head protection system optimization and for the management of sport related concussions.

基于有限元大鼠脑模型轴突应变计算的震荡力学阈值
脑震荡,尽管是一种轻微的创伤性脑损伤,但会带来严重的长期后果,并可能对个人、家庭和更广泛的社会生活产生不利影响。由于弥漫性轴索损伤(DAI)是创伤性脑损伤(TBI)最常见的病理特征之一,因此了解轴索劳损对脑震荡的机械阈值有助于在头部保护系统优化和运动相关脑震荡管理的背景下开发更好的脑损伤预测工具。本文介绍了基于轴突应变研究脑震荡力学阈值的各向异性粘滞超弹性有限元大鼠脑模型的开发、验证和应用。为了进行调查,模拟了26例有充分记录的实验性脑震荡病例。全面统计分析整体运动学参数(最大旋转加速度和持续时间)和脑内参数(最大轴突应变、最大应变能、最大冯米塞斯应力、最大冯米塞斯应变、最大剪切应力、最大剪切应变、最大主应力、最大主应变、最小压力和最大压力)表明脑内参数比全局运动学参数更适合于脑震荡的预测。50%脑震荡风险的估计容忍度为最大轴突应变的8.97%。结果是有希望的,因此,这项研究不仅是更好地了解脑震荡的关键一步,而且还有助于脑震荡相关的研究。许多研究已经确定轴突应变是通过生物力学模拟预测脑震荡的关键指标之一。在人脑活体实验的不可行性限制了深入研究的情况下,动物模型已被证明是有效的。现有的有限元大鼠脑模型均未考虑基于大鼠脑DTI的各向异性,而各向异性是影响模型保真度的关键因素。本研究提供了一种有效的各向异性粘滞超弹性有限元大鼠脑模型,该模型成功地应用于大鼠脑震荡载荷的实验模拟,得到了与文献一致的结果。因此,它有助于在头部保护系统优化和运动相关脑震荡管理的背景下开发更准确的脑损伤预测工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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%
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0
审稿时长
68 days
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