4.5 Article

Maximum Principal Strain and Strain Rate Associated with Concussion Diagnosis Correlates with Changes in Corpus Callosum White Matter Indices

期刊

ANNALS OF BIOMEDICAL ENGINEERING
卷 40, 期 1, 页码 127-140

出版社

SPRINGER
DOI: 10.1007/s10439-011-0402-6

关键词

Concussion; Mild traumatic brain injury; Strain; FEM brain model; Diffusion tensor imaging

资金

  1. NIH [RO1NS055020, R01HD048638]
  2. CDC [R01/CE001254]
  3. National Operating Committee on Standards for Athletic Equipment (NOCSAE) [04-07, SAC-1]
  4. William H. Neukom Institute for Computational Science at Dartmouth College
  5. HIT System, Sideline Response System (Riddell, Inc)
  6. EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH &HUMAN DEVELOPMENT [R01HD048638] Funding Source: NIH RePORTER
  7. NATIONAL CENTER FOR INJURY PREVENTION AND CONTROL [R01CE001254] Funding Source: NIH RePORTER
  8. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS055020] Funding Source: NIH RePORTER

向作者/读者索取更多资源

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.

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