Development and validation of an atlas-based finite element brain model

Area of Science:

• Biomechanics
• Computational modeling
• Neuroscience

Background:

• Traumatic brain injury (TBI) is a major cause of death and disability.
• Finite element (FE) models are crucial for understanding brain injury mechanisms.
• Accurate FE models require validated material properties.

Purpose of the Study:

• To develop and validate a high-resolution, anatomically accurate finite element model of the human brain.
• To optimize brain material properties using experimental data for improved biomechanical accuracy.
• To validate the atlas-based brain model (ABM) against cadaver impact tests.

Main Methods:

• Developed a high-resolution, anatomically accurate FE model from the International Consortium for Brain Mapping brain atlas.
• Utilized Latin hypercube sampling to optimize material properties against three experimental cadaver tests.
• Validated the ABM by comparing predicted displacements to experimental data using CORrelation and Analysis (CORA).

Main Results:

• Optimized brain material properties, particularly shear parameters, significantly improved model accuracy.
• The validated ABM demonstrated good agreement with experimental brain displacement data across three impact configurations.
• The study identified optimal material parameters for the atlas-based brain model.

Conclusions:

• The optimized and validated atlas-based brain model provides a reliable tool for TBI research.
• Accurate biomechanical modeling is essential for advancing TBI prevention strategies.
• This validated FE model can enhance the understanding of brain injury mechanisms.