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The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury
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 dif...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333795/ https://www.ncbi.nlm.nih.gov/pubmed/25745414 http://dx.doi.org/10.3389/fneur.2015.00028 |
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author | Carlsen, Rika W. Daphalapurkar, Nitin P. |
author_facet | Carlsen, Rika W. Daphalapurkar, Nitin P. |
author_sort | Carlsen, Rika W. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4333795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-43337952015-03-05 The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury Carlsen, Rika W. Daphalapurkar, Nitin P. Front Neurol Neuroscience 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. Frontiers Media S.A. 2015-02-19 /pmc/articles/PMC4333795/ /pubmed/25745414 http://dx.doi.org/10.3389/fneur.2015.00028 Text en Copyright © 2015 Carlsen and Daphalapurkar. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Carlsen, Rika W. Daphalapurkar, Nitin P. The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title | The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title_full | The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title_fullStr | The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title_full_unstemmed | The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title_short | The Importance of Structural Anisotropy in Computational Models of Traumatic Brain Injury |
title_sort | importance of structural anisotropy in computational models of traumatic brain injury |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4333795/ https://www.ncbi.nlm.nih.gov/pubmed/25745414 http://dx.doi.org/10.3389/fneur.2015.00028 |
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