Scaling methods are used to relate animal exposure data to humans by determining equivalent biomechanical impact conditions that result in similar tissue-level mechanics for different species. However, existing scaling methods for traumatic brain injury (TBI) do not account for the anatomical and morphological complexity of the brains for different species and have not been validated based on accurate anatomy and realistic material properties. In this study, the relationship between the TBI condition and brain tissue deformation was investigated using human, baboon, and macaque brain finite element (FE) models, which featured macro- and mesoscale anatomical details. The aim was to evaluate existing scaling methods in predicting similar biomechanical responses in the different species using both idealized and real-world TBI pulses. A second aim was to develop a new method to improve how animal data are scaled to humans. As previously found in humans, the animal's brain response to the rotational head motion was well characterized by single-degree-of-freedom (sDOF) mechanical systems with resonance at certain natural frequency, and this concept was leveraged to develop a new TBI scaling method based the natural frequency of the sDOF models representing each species. Previously described biomechanical scaling methods based on mass or inertia ratios were poor predictors of equivalent strain. The novel frequency-based scaling method was an improved approach to scaling the equivalent loading conditions. The findings of this study enable better interpretation of mechanical-trauma responses obtained from animal data to the human, thus effectively advancing the development of human injury criteria and contributing toward the mitigation of TBI.
Keywords: brain deformation; dimensional analysis; natural frequency; non-human primate model.