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通过模态分析深入了解人类大脑冲击动力学的机制。

Mechanistic Insights into Human Brain Impact Dynamics through Modal Analysis.

机构信息

Department of Bioemedical Engineering, University of Arizona, Tucson, Arizona 95719, USA.

Department of Mechanical Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, USA.

出版信息

Phys Rev Lett. 2018 Mar 30;120(13):138101. doi: 10.1103/PhysRevLett.120.138101.

Abstract

Although concussion is one of the greatest health challenges today, our physical understanding of the cause of injury is limited. In this Letter, we simulated football head impacts in a finite element model and extracted the most dominant modal behavior of the brain's deformation. We showed that the brain's deformation is most sensitive in low frequency regimes close to 30 Hz, and discovered that for most subconcussive head impacts, the dynamics of brain deformation is dominated by a single global mode. In this Letter, we show the existence of localized modes and multimodal behavior in the brain as a hyperviscoelastic medium. This dynamical phenomenon leads to strain concentration patterns, particularly in deep brain regions, which is consistent with reported concussion pathology.

摘要

尽管脑震荡是当今最大的健康挑战之一,但我们对损伤原因的物理理解还很有限。在这封信件中,我们在有限元模型中模拟了足球头部撞击,并提取了大脑变形的最主要模态行为。我们表明,大脑的变形在接近 30 Hz 的低频范围内最为敏感,并且发现对于大多数亚脑震荡头部撞击,大脑变形的动力学主要由单个全局模式主导。在这封信件中,我们展示了作为超粘弹性介质的大脑中存在局部模式和多模态行为。这种动力学现象导致应变集中模式,特别是在深部脑区,这与报告的脑震荡病理学一致。

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