Annals of Biomedical Engineering

, Volume 46, Issue 5, pp 736–748 | Cite as

Human Brain Modeling with Its Anatomical Structure and Realistic Material Properties for Brain Injury Prediction

  • Noritoshi Atsumi
  • Yuko Nakahira
  • Eiichi Tanaka
  • Masami Iwamoto


Impairments of executive brain function after traumatic brain injury (TBI) due to head impacts in traffic accidents need to be obviated. Finite element (FE) analyses with a human brain model facilitate understanding of the TBI mechanisms. However, conventional brain FE models do not suitably describe the anatomical structure in the deep brain, which is a critical region for executive brain function, and the material properties of brain parenchyma. In this study, for better TBI prediction, a novel brain FE model with anatomical structure in the deep brain was developed. The developed model comprises a constitutive model of brain parenchyma considering anisotropy and strain rate dependency. Validation was performed against postmortem human subject test data associated with brain deformation during head impact. Brain injury analyses were performed using head acceleration curves obtained from reconstruction analysis of rear-end collision with a human whole-body FE model. The difference in structure was found to affect the regions of strain concentration, while the difference in material model contributed to the peak strain value. The injury prediction result by the proposed model was consistent with the characteristics in the neuroimaging data of TBI patients due to traffic accidents.


Traumatic brain injury Diffuse axonal injury Constitutive model Anisotropy Viscoelasticity Brain FE model Accident reconstruction analyses 



We would like to thank Dr. J. Shinoda and Dr. Y. Asano (Chubu Medical Center for Prolonged Traumatic Brain Dysfunction, Kizawa Memorial Hospital, Minokamo-city, Gifu, Japan) for sharing their medical knowledge with us. We also thank Editage ( for English language editing.

Conflict of interest

The authors do not have any conflict of interest to declare.

Supplementary material

10439_2018_1988_MOESM1_ESM.pdf (802 kb)
Supplementary material 1 (PDF 802 kb)


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Copyright information

© Biomedical Engineering Society 2018

Authors and Affiliations

  1. 1.Human Science Research-DomainToyota Central R&D Labs., Inc.Nagakute-cityJapan
  2. 2.Department of Mechanical Science and Engineering, Graduate School of EngineeringNagoya UniversityNagoya-cityJapan
  3. 3.Tokai Polytechnic CollegeGifuJapan

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