Validation of a computational biomechanical mouse brain model for rotational head acceleration

Area of Science:

• Biomechanics
• Neuroscience
• Computational Biology

Background:

• Diffuse axonal injury (DAI) is a common consequence of traumatic brain injury (TBI).
• Understanding the mechanical thresholds for DAI requires accurate measurement of brain tissue deformation during injury events.
• Imaging brain deformation in vivo during dynamic loading is experimentally challenging.

Purpose of the Study:

• To develop and validate a computational biomechanics model of the mouse brain.
• To predict tissue deformation and strain in the mouse brain during experimentally relevant head rotations.
• To provide a tool for linking mechanical stimuli to neuropathology, such as DAI.

Main Methods:

• A finite element model (FEM) of the mouse brain was created to compute tissue strains.
• The FEM was calibrated using data from a single brain segment.
• Model validation was performed by comparing predicted strains to experimental data from other brain regions.

Main Results:

• The developed model accurately predicts tissue strains in the mouse brain.
• The model was validated against experimental data, demonstrating its reliability.
• The computational tool can simulate brain deformation under various head rotation scenarios.

Conclusions:

• The validated computational model enables prediction of brain tissue strains during mouse laboratory experiments.
• This tool facilitates a deeper understanding of the relationship between mechanical forces and neuropathology like DAI.
• The model serves as a valuable resource for researchers investigating TBI mechanisms in mice.