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本文引用的文献

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Automated subject-specific, hexahedral mesh generation via image registration.通过图像配准实现特定于个体的自动六面体网格生成。
Finite Elem Anal Des. 2011 Oct 1;47(10):1178-1185. doi: 10.1016/j.finel.2011.05.007.
2
Development of the STAR evaluation system for football helmets: integrating player head impact exposure and risk of concussion.足球头盔 STAR 评估系统的开发:整合球员头部撞击暴露和脑震荡风险。
Ann Biomed Eng. 2011 Aug;39(8):2130-40. doi: 10.1007/s10439-011-0322-5. Epub 2011 May 7.
3
Diffusion tensor imaging and beyond.扩散张量成像及其他。
Magn Reson Med. 2011 Jun;65(6):1532-56. doi: 10.1002/mrm.22924. Epub 2011 Apr 5.
4
A six degree of freedom head acceleration measurement device for use in football.一种用于足球运动的六自由度头部加速度测量装置。
J Appl Biomech. 2011 Feb;27(1):8-14. doi: 10.1123/jab.27.1.8.
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Sports concussion and the risk of chronic neurological impairment.运动性脑震荡与慢性神经功能障碍风险。
Clin J Sport Med. 2011 Jan;21(1):6-12. doi: 10.1097/JSM.0b013e318204db50.
6
A diffusion tensor imaging study on the white matter skeleton in individuals with sports-related concussion.运动相关性脑震荡患者脑白质骨架的弥散张量成像研究。
J Neurotrauma. 2011 Feb;28(2):189-201. doi: 10.1089/neu.2010.1430. Epub 2011 Jan 27.
7
Frequency and location of head impact exposures in individual collegiate football players.个体大学生橄榄球运动员头部撞击暴露的频率和位置。
J Athl Train. 2010 Nov-Dec;45(6):549-59. doi: 10.4085/1062-6050-45.6.549.
8
Traumatic brain injury--football, warfare, and long-term effects.创伤性脑损伤——足球、战争及长期影响
N Engl J Med. 2010 Sep 30;363(14):1293-6. doi: 10.1056/NEJMp1007051. Epub 2010 Sep 22.
9
High school concussions in the 2008-2009 academic year: mechanism, symptoms, and management.2008-2009 学年的高中脑震荡:机制、症状和管理。
Am J Sports Med. 2010 Dec;38(12):2405-9. doi: 10.1177/0363546510376737. Epub 2010 Aug 17.
10
Relative brain displacement and deformation during constrained mild frontal head impact.约束性轻度额部颅脑撞击时的相对脑位移和变形。
J R Soc Interface. 2010 Dec 6;7(53):1677-88. doi: 10.1098/rsif.2010.0210. Epub 2010 May 26.

最大主应变和应变率与脑震荡诊断相关,与胼胝体白质指数的变化相关。

Maximum principal strain and strain rate associated with concussion diagnosis correlates with changes in corpus callosum white matter indices.

机构信息

Department of Psychiatry, Section of Neuropsychiatry, Dartmouth Medical School, Dartmouth-Hitchcock Medical Center, One Medical Center Drive, Lebanon, NH 03756, USA.

出版信息

Ann Biomed Eng. 2012 Jan;40(1):127-40. doi: 10.1007/s10439-011-0402-6. Epub 2011 Oct 13.

DOI:10.1007/s10439-011-0402-6
PMID:21994062
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4388259/
Abstract

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 ρ = 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 (ρ = -0.80, p = 0.006) but change in FA did not (ρ = 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.

摘要

现场监测头部撞击,并结合有限元(FE)生物力学模拟,可以预测与诊断性脑震荡相关的区域应变。然而,尚未有文献尝试将这些预测与脑损伤的体内测量值相关联。本文报告了一种方法以及初步结果,即将与诊断性脑震荡相关的特定于受试者的 FE 模型预测的高应变区域与弥散张量成像(DTI)相关联,以评估胼胝体(CC)中白质完整性的变化。10 名橄榄球和冰球运动员在比赛中佩戴了可记录头部撞击的仪器头盔,在赛季前和诊断性脑震荡后 10 天内完成了高磁场磁共振成像检查。使用 Dartmouth 特定于受试者的 FE 头部模型生成与脑震荡相关的每次撞击后的应变和应变速率的区域预测。为每位运动员的 CC 生成各向异性分数(FA)和平均弥散度(MD)变化图,以关联应变与 FA 和 MD 的变化。平均和最大应变速率与 FA 的变化相关(Spearman ρ = 0.77,p = 0.01;0.70,p = 0.031),而平均和最大应变也有类似的趋势(0.56,p = 0.10;0.6,p = 0.07),最大应变与 MD 的变化也有类似的趋势(-0.63,p = 0.07)。MD 的变化与从受伤到成像的时间间隔相关(ρ = -0.80,p = 0.006),但 FA 的变化与 MD 的变化不相关(ρ = 0.18,p = 0.62)。这些结果初步证实了 CC 中模型预测的应变和应变速率与白质完整性指数的变化相关。