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A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury
Published on: June 20, 2017
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Six Degree-of-Freedom Measurements of Human Mild Traumatic Brain Injury
Fidel Hernandez1, Lyndia C Wu, Michael C Yip
1Department of Mechanical Engineering, Stanford University, Stanford, CA, USA.
Annals of Biomedical Engineering
|December 24, 2014
Summary
Directly measuring head rotation in six degrees-of-freedom (6DOF) significantly improves the prediction of mild traumatic brain injury (mTBI) compared to current standards. This finding suggests incorporating rotational data is crucial for better injury assessment.
Area of Science:
- Biomechanics
- Neuroscience
- Sports Medicine
Background:
- Current mild traumatic brain injury (mTBI) prediction relies on 3 degree-of-freedom (3DOF) translation-only criteria.
- Head rotation is implicated in mTBI, but direct 6DOF measurements were previously unavailable for validation.
- Existing safety standards do not fully capture the biomechanics of head impacts.
Purpose of the Study:
- To investigate if direct 6DOF head rotation measurements enhance mTBI prediction.
- To compare the efficacy of 6DOF criteria against existing 3DOF criteria.
- To evaluate the role of rotational kinematics in predicting head injuries.
Main Methods:
- Instrumented mouthguards measured 6DOF head impacts in American football, boxing, and MMA.
- Clinician-diagnosed mTBI was predicted using 12 kinematic and 6 finite element (FE) criteria.
- The study collected the first 6DOF data for clinically diagnosed mTBI.
Main Results:
- 6DOF criteria demonstrated superior prediction of mTBI compared to 3DOF translation-only or rotation-only criteria.
- Peak principal strain in the corpus callosum (a 6DOF FE criterion) was the most potent predictor.
- Rotational metrics like peak rotational acceleration and Head Impact Power (HIP) also showed strong predictive value.
Conclusions:
- Direct head rotation measurements appear to improve mTBI prediction accuracy.
- Further 6DOF data is necessary to validate these findings and develop new injury criteria.
- Incorporating rotational sensitivity into injury prediction models is recommended.

