Maximum Principal Strain and Strain Rate Associated with Concussion Diagnosis Correlates with Changes in Corpus Callosum White Matter Indices
Maximum Principal Strain and Strain Rate Associated with Concussion Diagnosis Correlates with Changes in Corpus Callosum White Matter Indices
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DOI：
10.1007/s10439-011-0402-6
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发表时间：
2012-01-01
影响因子：
3.8
通讯作者：
Greenwald, Richard M.
中科院分区：
文献类型：
--
作者：
McAllister, Thomas W.;Ford, James C.;Greenwald, Richard M.
头部撞击的现场监测与有限元 (FE) 生物力学模拟相结合，可以预测与诊断的脑震荡相关的区域应变。然而，将这些预测与脑损伤的体内测量结果联系起来的尝试尚未发表。本文报告了一种方法和初步结果，该方法和初步结果来自与诊断的脑震荡和扩散张量成像相关的特定受试者 FE 模型预测的高应变区域的相关性，以评估胼胝体 (CC) 中白质完整性的变化。十名足球和冰球运动员戴着仪器头盔记录比赛期间头部受到的冲击，在季前赛和确诊脑震荡后 10 天内完成了高场磁共振成像。达特茅斯特定主题有限元头部模型用于生成每次与脑震荡相关的撞击后的应变和应变率的区域预测。为每位运动员的 CC 生成分数各向异性 (FA) 和中值扩散率 (MD) 的变化图，以将应变与 FA 和 MD 的变化相关联。平均和最大应变率与 FA 的变化相关（Spearman rho = 0.77，p = 0.01；0.70，p = 0.031），平均和最大应变（0.56，p = 0.10；0.6，p = 0.07）以及最大应变随 MD 变化（-0.63，p = 0.07）也有类似的趋势。 MD 的变化与损伤至成像间隔相关（rho = -0.80，p = 0.006），但 FA 的变化则不然（rho = 0.18，p = 0.62）。这些结果初步证实了模型预测的 CC 应变和应变率与白质完整性指数的变化相关。
On-field monitoring of head impacts, combined with finite element (FE) biomechanical simulation, allow for predictions of regional strain associated with a diagnosed concussion. However, attempts to correlate these predictions with in vivo measures of brain injury have not been published. This article reports an approach to and preliminary results from the correlation of subject-specific FE model-predicted regions of high strain associated with diagnosed concussion and diffusion tensor imaging to assess changes in white matter integrity in the corpus callosum (CC). Ten football and ice hockey players who wore instrumented helmets to record head impacts sustained during play completed high field magnetic resonance imaging preseason and within 10 days of a diagnosed concussion. The Dartmouth Subject-Specific FE Head model was used to generate regional predictions of strain and strain rate following each impact associated with concussion. Maps of change in fractional anisotropy (FA) and median diffusivity (MD) were generated for the CC of each athlete to correlate strain with change in FA and MD. Mean and maximum strain rate correlated with change in FA (Spearman rho = 0.77, p = 0.01; 0.70, p = 0.031), and there was a similar trend for mean and maximum strain (0.56, p = 0.10; 0.6, p = 0.07), as well as for maximum strain with change in MD (-0.63, p = 0.07). Change in MD correlated with injury-to-imaging interval (rho = -0.80, p = 0.006) but change in FA did not (rho = 0.18, p = 0.62). These results provide preliminary confirmation that model-predicted strain and strain rate in the CC correlate with changes in indices of white matter integrity.