Ji Songbai, Zhao Wei, Ford James C, Beckwith Jonathan G, Bolander Richard P, Greenwald Richard M, Flashman Laura A, Paulsen Keith D, McAllister Thomas W
1 Thayer School of Engineering, Dartmouth College , Hanover, New Hampshire.
J Neurotrauma. 2015 Apr 1;32(7):441-54. doi: 10.1089/neu.2013.3268. Epub 2015 Feb 6.
Sports-related concussion is a major public health problem in the United States and yet its biomechanical mechanisms remain unclear. In vitro studies demonstrate axonal elongation as a potential injury mechanism; however, current response-based injury predictors (e.g., maximum principal strain, ε(ep)) typically do not incorporate axonal orientations. We investigated the significance of white matter (WM) fiber orientation in strain estimation and compared fiber strain (ε(n)) with ε(ep) for 11 athletes with a clinical diagnosis of concussion. Geometrically accurate subject-specific head models with high mesh quality were created based on the Dartmouth Head Injury Model (DHIM), which was successfully validated (performance categorized as "good" to "excellent"). For WM regions estimated to be exposed to high strains using a range of injury thresholds (0.09-0.28), substantial differences existed between ε(n) and ε(ep) in both distribution (Dice coefficient of 0.13-0.33) and extent (∼ 5-10-fold differences), especially at higher threshold levels and higher rotational acceleration magnitudes. For example, an average of 3.2% vs. 29.8% of WM was predicted above an optimal threshold of 0.18 established from an in vivo animal study using ε(n) and ε(ep), respectively, with an average Dice coefficient of 0.14. The distribution of WM regions with high ε(n) was consistent with typical heterogeneous patterns of WM disruptions in diffuse axonal injury, and the group-wise extent at the optimal threshold matched well with the percentage of WM voxels experiencing significant longitudinal changes of fractional anisotropy and mean diffusivity (3.2% and 3.44%, respectively) found from a separate independent study. These results suggest the significance of incorporating WM microstructural anisotropy in future brain injury studies.
与运动相关的脑震荡在美国是一个重大的公共卫生问题,但其生物力学机制仍不清楚。体外研究表明轴突伸长是一种潜在的损伤机制;然而,目前基于响应的损伤预测指标(例如,最大主应变ε(ep))通常未纳入轴突方向。我们研究了白质(WM)纤维方向在应变估计中的重要性,并比较了11名临床诊断为脑震荡的运动员的纤维应变(ε(n))和ε(ep)。基于达特茅斯头部损伤模型(DHIM)创建了具有高网格质量的几何精确的个体特异性头部模型,该模型已成功验证(性能分类为“良好”至“优秀”)。对于使用一系列损伤阈值(0.09 - 0.28)估计暴露于高应变的WM区域,ε(n)和ε(ep)在分布(骰子系数为0.13 - 0.33)和范围(约5 - 10倍差异)上都存在显著差异,尤其是在较高阈值水平和较高旋转加速度幅度时。例如,分别使用ε(n)和ε(ep),根据一项体内动物研究确定的最佳阈值0.18,预测高于该阈值的WM平均比例分别为3.2%和29.8%,平均骰子系数为0.14。具有高ε(n)的WM区域分布与弥漫性轴突损伤中WM破坏的典型异质性模式一致,并且在最佳阈值下的组内范围与另一项独立研究中发现的经历分数各向异性和平均扩散率显著纵向变化的WM体素百分比(分别为3.2%和3.44%)匹配良好。这些结果表明在未来的脑损伤研究中纳入WM微观结构各向异性的重要性。