Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01506, USA.
Department of Biomedical Engineering, Worcester Polytechnic Institute, Worcester, MA, 01506, USA.
J Mech Behav Biomed Mater. 2022 Feb;126:104967. doi: 10.1016/j.jmbbm.2021.104967. Epub 2021 Nov 18.
Cerebral vascular injury (CVI) is a frequent consequence of traumatic brain injury but has often been neglected. Substantial experimental work exists on vascular material properties and failure/subfailure thresholds. However, little is known about vascular in vivo loading conditions in dynamic head impact, which is necessary to investigate the risk, severity, and extent of CVI. In this study, we resort to the Worcester Head Injury Model (WHIM) V2.1 for investigation. The model embeds the cerebral vasculature network and is further upgraded to incorporate brain material property heterogeneity based on magnetic resonance elastography. The brain material property is calibrated to match with the previously validated anisotropic V1.0 version in terms of whole-brain strains against six experimental datasets of a wide range of blunt impact conditions. The upgraded WHIM is finally used to simulate five representative real-world head impacts drawn from contact sports and automotive crashes. We find that peak strains in veins are considerably higher than those in arteries and that peak circumferential strains are also higher than peak axial strains. For a typical concussive head impact, cerebral vascular axial strains reach the lowest reported yield strain of ∼7-8%. For severe automotive impacts, axial strains could reach ∼20%, which is on the order of the lowest reported ultimate failure strain of ∼24%. These results suggest in vivo mechanical loading conditions of the cerebral vasculature (excluding bridging veins not assessed here) due to rapid head rotation are at the lower end of failure/subfailure thresholds established from ex vivo experiments. This study provides some first insight into the risk, severity, and extent of CVI in real-world head impacts.
脑血管损伤(CVI)是颅脑损伤的常见后果,但往往被忽视。大量的实验工作涉及血管的材料特性和失效/亚失效阈值。然而,对于动态头部撞击中的血管体内加载条件知之甚少,而这对于研究 CVI 的风险、严重程度和程度是必要的。在这项研究中,我们求助于伍斯特头部损伤模型(WHIM)V2.1 进行研究。该模型嵌入了脑血管网络,并进一步升级,以根据磁共振弹性成像纳入脑材料特性异质性。脑材料特性经过校准,以匹配之前针对广泛钝性撞击条件的六个实验数据集验证的各向异性 V1.0 版本的全脑应变。最后,升级后的 WHIM 用于模拟来自接触性运动和汽车碰撞的五个具有代表性的真实世界头部撞击。我们发现,静脉中的峰值应变明显高于动脉中的峰值应变,而周向峰值应变也高于轴向峰值应变。对于典型的震荡性头部撞击,脑血管轴向应变达到了报告的最低屈服应变约 7-8%。对于严重的汽车撞击,轴向应变可能达到约 20%,这与报告的最低极限失效应变约 24%相当。这些结果表明,由于头部快速旋转,脑血管(此处未评估的桥接静脉除外)的体内机械加载条件处于从离体实验确定的失效/亚失效阈值的较低端。这项研究为现实世界头部撞击中的 CVI 的风险、严重程度和程度提供了一些初步的了解。