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旋转致脑损伤的机制和差异:头动学与脑应变之间的参数研究。

Mechanisms and variances of rotation-induced brain injury: a parametric investigation between head kinematics and brain strain.

机构信息

Department of Mechanical and Materials Engineering, Faculty of Engineering, Western University, London, ON, N6A 5B9, Canada.

School of Biomedical Engineering, Western University, London, ON, N6A 5B9, Canada.

出版信息

Biomech Model Mechanobiol. 2020 Dec;19(6):2323-2341. doi: 10.1007/s10237-020-01341-4. Epub 2020 May 24.

DOI:10.1007/s10237-020-01341-4
PMID:32449073
Abstract

There lacks a comprehensive understanding of the correlation between head kinematics and brain strain especially deep-brain strain, partially resulting the deficiency of understanding brain injury mechanisms and the difficulty of choosing appropriate brain injury metrics. Hence, we simulated 76 impacts that were focused on concussion-relevant rotational kinematics and evaluated cumulative strain damage measure (CSDM) and average strain that could represent brain strain distribution. For the whole brain, axial rotation induced the highest CSDM, while lateral bending produced the lowest CSDM. However, for the deep-brain components, lateral bending produced the highest CSDM to the corpus callosum and thalamus. We further confirmed that brain strain was mainly produced by rotational kinematics, for which the effect of rotational deceleration could not be ignored with the deceleration influencing CSDM20 up to 27%. Our data supported that peak rotational velocity correlated to brain strain with an average R of 0.77 across various impact directions and different shapes of loading curves. The correlation between peak rotational velocity and brain strain reached to an average R of 0.99 for each specific impact direction. Our results supported using direction-specific peak rotation velocity for predicting strain-related brain injury. Additionally, we highlighted the importance of investigating whole-brain and deep-brain strain, as well as considering rotational deceleration.

摘要

人们对头部运动学与大脑应变(尤其是深部大脑应变)之间的相关性缺乏全面了解,这在一定程度上导致人们对脑损伤机制的理解不足,也难以选择合适的脑损伤指标。因此,我们模拟了 76 次撞击,重点关注与脑震荡相关的旋转运动学,并评估了累积应变损伤量(CSDM)和代表大脑应变分布的平均应变。对于整个大脑,轴向旋转引起的 CSDM 最高,而横向弯曲产生的 CSDM 最低。然而,对于深部脑成分,横向弯曲对胼胝体和丘脑产生的 CSDM 最高。我们进一步证实,大脑应变主要是由旋转运动学产生的,旋转减速的影响不容忽视,减速对 CSDM20 的影响高达 27%。我们的数据支持这样一种观点,即峰值旋转速度与大脑应变相关,在各种冲击方向和不同加载曲线形状下,平均 R 为 0.77。对于每个特定的冲击方向,峰值旋转速度和大脑应变之间的相关性平均 R 达到 0.99。我们的研究结果支持使用特定方向的峰值旋转速度来预测与应变相关的脑损伤。此外,我们强调了研究全脑和深部脑应变以及考虑旋转减速的重要性。

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