The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury
| Autor: | Rika Wright Carlsen, Nitin Daphalapurkar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Injury control
Traumatic brain injury Accident prevention Mini Review 0206 medical engineering Poison control 02 engineering and technology Brain tissue lcsh:RC346-429 diffuse axonal injury 03 medical and health sciences 0302 clinical medicine Medicine lcsh:Neurology. Diseases of the nervous system axonal strain Computational model business.industry traumatic brain injury Diffuse axonal injury medicine.disease injury criterion 020601 biomedical engineering computational model Neurology Neurology (clinical) business Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Frontiers in Neurology, Vol 6 (2015) Frontiers in Neurology |
| ISSN: | 1664-2295 |
| DOI: | 10.3389/fneur.2015.00028 |
| Popis: | Understanding the mechanisms of injury might prove useful in assisting the development of methods for the management and mitigation of traumatic brain injury (TBI). Computational head models can provide valuable insight into the multi-length-scale complexity associated with the primary nature of diffuse axonal injury. It involves understanding how the trauma to the head (at the centimeter length scale) translates to the white-matter tissue (at the millimeter length scale), and even further down to the axonal-length scale, where physical injury to axons (e.g., axon separation) may occur. However, to accurately represent the development of TBI, the biofidelity of these computational models is of utmost importance. There has been a focused effort to improve the biofidelity of computational models by including more sophisticated material definitions and implementing physiologically relevant measures of injury. This paper summarizes recent computational studies that have incorporated structural anisotropy in both the material definition of the white matter and the injury criterion as a means to improve the predictive capabilities of computational models for TBI. We discuss the role of structural anisotropy on both the mechanical response of the brain tissue and on the development of injury. We also outline future directions in the computational modeling of TBI. |
| Databáze: | OpenAIRE |
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