基于头部运动学参数与脑损伤关系的颅脑创伤机制研究进展

张家瑞; 杜智博; 柳占立; 庄茁

doi:10.11883/bzycj-2024-0221

基于头部运动学参数与脑损伤关系的颅脑创伤机制研究进展

doi: 10.11883/bzycj-2024-0221

清华大学航天航空学院，北京 100084

基金项目: 国家重点研发计划（2020-JCJQ-ZD-254, 2022YFC3320500）

详细信息

作者简介:
张家瑞（1998－　），男，博士研究生，15862172533@163.com

通讯作者:
柳占立（1981－　），男，博士，教授，liuzhanli@mail.tsinghua.edu.cn

中图分类号: O389
计量
- 文章访问数: 24
- HTML全文浏览量: 10
- PDF下载量: 7
- 被引次数: 0
出版历程
- 收稿日期: 2024-07-04
- 修回日期: 2024-10-22
- 网络出版日期: 2024-11-05

Research progress on mechanism of craniocerebral trauma based on relationship between head acceleration and brain injury

School of Aerospace Engineering, Tsinghua University, Beijing 100084, China

摘要

摘要: 由于轻度创伤性脑损伤(mTBI)的复杂性和数据测量方式的局限性，直接根据脑组织损伤阈值来确定大脑的损伤状态往往并不可行。脑组织的损伤机制涉及复杂的力学、生物化学和生理学过程，且在不同个体之间存在显著差异。通过研究头部运动载荷与脑组织损伤之间的关系，研究者可以更好地理解不同类型的头部运动（如线加速度、角加速度、角速度）对脑组织的影响规律。这不仅有助于揭示颅脑创伤的力学机制，还为开发更有效的防护装具提供科学依据。但直接从头部的运动学测量评估损伤风险仍面临诸多挑战。本文详细总结和评述了与轻度创伤性脑损伤相关的冲击载荷及头部模型特点，通过综合分析头部运动学载荷与脑组织变形响应的关系，揭示包括线加速度、角加速度等载荷作用下脑组织的应力、应变响应规律，指出当前研究中存在的不足与局限性，为轻度创伤性脑损伤的预防、评估及治疗奠定理论和技术基础。
- 致伤机制 /
- 碰撞载荷 /
- 爆炸载荷 /
- 角加速度 /
- 头部模型 /
- 脑组织应变
Abstract: Due to the complexity of mild traumatic brain injury (mTBI) and the limitations of data measurement methods, it is often not feasible to directly determine the damage status of the brain based on the brain tissue damage threshold. The damage mechanism of brain tissue involves a variety of complex mechanical, biochemical, and physiological processes that vary significantly between individuals. In addition, existing measurement techniques still have limitations in temporal and spatial resolution, making it difficult to accurately capture the dynamic response of brain tissue. Therefore, establishing the relationship between head motion and brain tissue damage has become a key step in understanding the mechanical mechanism of mild traumatic brain injury. By studying the relationship between head motion and brain tissue damage, researchers can better understand the specific effects of different types of head motion (such as linear acceleration, rotational acceleration, rotational velocity) on brain tissue. This understanding not only helps reveal the basic mechanical mechanisms of mild traumatic brain injury, but also provides a scientific basis for the development of more effective protective equipment. For example, based on these findings, the design of protective helmets can be optimized to better disperse impact energy, reduce stress concentrations in brain tissue, and reduce the risk of trauma. However, there are still many challenges in assessing injury risk directly from kinematic measurements of the head. This article summarizes and reviews in detail the load characteristics related to mild traumatic brain injury and their corresponding brain tissue response, including the stress and strain effects of head kinematic parameters on brain tissue. In addition, this article also explores the head models used in studying brain injury mechanisms and their characteristics, such as high-precision finite element models and multi-scale models, which play an important role in simulating the deformation response of brain tissue. By comprehensively analyzing the relationship between head kinematic parameters and brain tissue deformation response, this article provides important reference and guidance for the prevention, assessment and treatment of mild traumatic brain injury.
- injury mechanisms /
- impact loads /
- blast loads /
- angular acceleration /
- head models /
- brain tissue strain

HTML全文

图 1 碰撞载荷下头部的加速度频谱

Figure 1. Acceleration spectrum of the head under collision loads

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图 2 可用于低频加速度测量的护齿器

Figure 2. Mouthguards used for low-frequency acceleration measurement

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图 3 爆炸载荷下头部的加速度频谱

Figure 3. Acceleration spectrum of the head under collision loads

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图 4 脑组织剪切模量的应变率依赖性^[59]

Figure 4. Strain rate dependence of shear modulus of brain tissue^[59]

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图 5 脑组织的非线性应力与应变关系^[59]

Figure 5. Nonlinear stress-strain relationship of brain tissue^[59]

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图 6 无法复现尸体模型数据的无脑脊液头部有限元模型

Figure 6. Finite element models of head without cerebrospinal fluid that cannot reproduce cadaveric model data

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图 7 三维头部有限元模型的前三阶频率对应模态^[84]

Figure 7. The first three frequencies of the 3D finite element head model^[84]

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图 8 脑损伤分析的多尺度框架 ^[96]

Figure 8. Multiscale framework for brain injury analysis ^[96]

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图 9 爆炸载荷下头部最大线加速度、最大角加速度和与脑组织最大主应变的线性关系^[51]

Figure 9. The linear relationship between the maximum linear acceleration, maximum angular acceleration of head and the maximum principal strain of brain tissue under blast load^[51]

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图 10 基于头部角速度曲线通过数据驱动方法预测脑组织应变分布^[100]

Figure 10. Prediction of brain tissue strain distribution using a data-driven approach based on head angular velocity curves^[100]

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