The importance of structural anisotropy in computational models of traumatic brain injury

Frontiers in Neurology
Rika W Carlsen, Nitin P Daphalapurkar

Abstract

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 res...Continue Reading

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Citations

Apr 4, 2016·Accident; Analysis and Prevention·Debasis SahooRémy Willinger
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Methods Mentioned

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imaging techniques

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Brain Injury & Trauma

brain injury after impact to the head is due to both immediate mechanical effects and delayed responses of neural tissues.