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Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury

Overview of attention for article published in Annals of Biomedical Engineering, December 2014
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Title
Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury
Published in
Annals of Biomedical Engineering, December 2014
DOI 10.1007/s10439-014-1212-4
Pubmed ID
Authors

Fidel Hernandez, Lyndia C. Wu, Michael C. Yip, Kaveh Laksari, Andrew R. Hoffman, Jaime R. Lopez, Gerald A. Grant, Svein Kleiven, David B. Camarillo

Abstract

This preliminary study investigated whether direct measurement of head rotation improves prediction of mild traumatic brain injury (mTBI). Although many studies have implicated rotation as a primary cause of mTBI, regulatory safety standards use 3 degree-of-freedom (3DOF) translation-only kinematic criteria to predict injury. Direct 6DOF measurements of human head rotation (3DOF) and translation (3DOF) have not been previously available to examine whether additional DOFs improve injury prediction. We measured head impacts in American football, boxing, and mixed martial arts using 6DOF instrumented mouthguards, and predicted clinician-diagnosed injury using 12 existing kinematic criteria and 6 existing brain finite element (FE) criteria. Among 513 measured impacts were the first two 6DOF measurements of clinically diagnosed mTBI. For this dataset, 6DOF criteria were the most predictive of injury, more than 3DOF translation-only and 3DOF rotation-only criteria. Peak principal strain in the corpus callosum, a 6DOF FE criteria, was the strongest predictor, followed by two criteria that included rotation measurements, peak rotational acceleration magnitude and Head Impact Power (HIP). These results suggest head rotation measurements may improve injury prediction. However, more 6DOF data is needed to confirm this evaluation of existing injury criteria, and to develop new criteria that considers directional sensitivity to injury.

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Geographical breakdown

Country Count As %
United States 5 1%
Canada 1 <1%
Unknown 333 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 75 22%
Researcher 44 13%
Student > Master 44 13%
Student > Bachelor 31 9%
Student > Doctoral Student 18 5%
Other 55 16%
Unknown 72 21%
Readers by discipline Count As %
Engineering 115 34%
Medicine and Dentistry 27 8%
Sports and Recreations 26 8%
Neuroscience 19 6%
Agricultural and Biological Sciences 12 4%
Other 43 13%
Unknown 97 29%