NeuraConnect Lab

Understanding the networked brain through its injury

I. INTRODUCTION Finite element models of the human brain are the state-of-the-art technique for simulating real-world head impacts to assess brain injury risk, investigate potential neurotrauma mechanisms, and develop injury


Journal article


A. Alshareef, J. S. Giudice, J. Forman, D. Shedd, K. Reynier, Taotao Wu
2019

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APA   Click to copy
Alshareef, A., Giudice, J. S., Forman, J., Shedd, D., Reynier, K., & Wu, T. (2019). I. INTRODUCTION Finite element models of the human brain are the state-of-the-art technique for simulating real-world head impacts to assess brain injury risk, investigate potential neurotrauma mechanisms, and develop injury.


Chicago/Turabian   Click to copy
Alshareef, A., J. S. Giudice, J. Forman, D. Shedd, K. Reynier, and Taotao Wu. “I. INTRODUCTION Finite Element Models of the Human Brain Are the State-of-the-Art Technique for Simulating Real-World Head Impacts to Assess Brain Injury Risk, Investigate Potential Neurotrauma Mechanisms, and Develop Injury” (2019).


MLA   Click to copy
Alshareef, A., et al. I. INTRODUCTION Finite Element Models of the Human Brain Are the State-of-the-Art Technique for Simulating Real-World Head Impacts to Assess Brain Injury Risk, Investigate Potential Neurotrauma Mechanisms, and Develop Injury. 2019.


BibTeX   Click to copy

@article{a2019a,
  title = {I. INTRODUCTION Finite element models of the human brain are the state-of-the-art technique for simulating real-world head impacts to assess brain injury risk, investigate potential neurotrauma mechanisms, and develop injury},
  year = {2019},
  author = {Alshareef, A. and Giudice, J. S. and Forman, J. and Shedd, D. and Reynier, K. and Wu, Taotao}
}

Abstract

Finite element models of the human brain are the state-of-the-art technique for simulating real-world head impacts to assess brain injury risk, investigate potential neurotrauma mechanisms, and develop injury countermeasures. However, these models must be validated to human brain deformation. Recently, a technique was developed using sonomicrometry to record 3D brain motion data in a human cadaver model subjected to injurious conditions generated using a controlled dynamic rotation of the head [1]. Leveraging this technique, the objective of this study was to generate a dataset of dynamic brain deformation collected from multiple specimens under various kinematic conditions to investigate the relationship between brain deformation magnitude and the characteristics of the applied head loading.