Integrating Human and Nonhuman Primate Data to Estimate Human Tolerances for Traumatic Brain Injury
Taotao Wu1, Fusako Sato2, Jacobo Antona-Makoshi2
1Center for Applied Biomechanics, University of Virginia, Charlottesville, VA 22901.
Journal of Biomechanical Engineering
|December 13, 2021
Summary
Researchers developed a new method to assess human brain injury tolerance for traumatic brain injury (TBI) from impacts. This study utilized diverse data to create injury risk curves for better safety measures.
Area of Science:
- Biomechanics
- Neuroscience
- Injury Prevention
Background:
- Traumatic brain injury (TBI) is a major cause of death and disability from impacts in vehicle crashes, falls, and sports.
- Understanding human brain injury tolerance is crucial for developing effective safety measures.
Purpose of the Study:
- To develop a novel method for establishing human brain injury tolerance levels.
- To analyze human tolerance using tissue-level and kinematics-based metrics.
- To present human brain tolerances for mild and severe TBI as injury risk curves.
Main Methods:
- Integrated a database of reconstructed football impacts, human volunteer data, and nonhuman primate data.
- Employed harmonized, species-specific finite element (FE) brain models for analysis.
- Utilized kinematics-based metrics, including diffuse axonal multi-axial general evaluation (DAMAGE), to characterize injury tolerance.
Main Results:
- Established new human brain injury tolerance levels.
- Demonstrated that kinematics-based metrics, like DAMAGE, effectively predict tissue-level deformation.
- Generated injury risk curves for mild and severe TBI based on selected metrics.
Conclusions:
- The developed method provides a robust framework for assessing human brain injury tolerance.
- The findings can inform the design of advanced safety systems and countermeasures for TBI prevention.
- The study successfully applied estimated injury tolerances to real-world automotive crash data.
