Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.

This article presents the integration of brain injury biomechanics and graph theoretical analysis of neuronal connections, or connectomics, to form a neurocomputational model that captures spatiotemporal characteristics of trauma. We relate localized mechanical brain damage predicted from biofidelic...

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Autores principales:	Reuben H Kraft, Phillip Justin McKee, Amy M Dagro, Scott T Grafton
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/79c587ab439b491eb59dc8ea5236e5a5
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spelling	oai:doaj.org-article:79c587ab439b491eb59dc8ea5236e5a52021-11-18T05:51:06ZCombining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.1553-734X1553-735810.1371/journal.pcbi.1002619https://doaj.org/article/79c587ab439b491eb59dc8ea5236e5a52012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22915997/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358This article presents the integration of brain injury biomechanics and graph theoretical analysis of neuronal connections, or connectomics, to form a neurocomputational model that captures spatiotemporal characteristics of trauma. We relate localized mechanical brain damage predicted from biofidelic finite element simulations of the human head subjected to impact with degradation in the structural connectome for a single individual. The finite element model incorporates various length scales into the full head simulations by including anisotropic constitutive laws informed by diffusion tensor imaging. Coupling between the finite element analysis and network-based tools is established through experimentally-based cellular injury thresholds for white matter regions. Once edges are degraded, graph theoretical measures are computed on the "damaged" network. For a frontal impact, the simulations predict that the temporal and occipital regions undergo the most axonal strain and strain rate at short times (less than 24 hrs), which leads to cellular death initiation, which results in damage that shows dependence on angle of impact and underlying microstructure of brain tissue. The monotonic cellular death relationships predict a spatiotemporal change of structural damage. Interestingly, at 96 hrs post-impact, computations predict no network nodes were completely disconnected from the network, despite significant damage to network edges. At early times (t < 24 hrs) network measures of global and local efficiency were degraded little; however, as time increased to 96 hrs the network properties were significantly reduced. In the future, this computational framework could help inform functional networks from physics-based structural brain biomechanics to obtain not only a biomechanics-based understanding of injury, but also neurophysiological insight.Reuben H KraftPhillip Justin McKeeAmy M DagroScott T GraftonPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 8, Iss 8, p e1002619 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Reuben H Kraft Phillip Justin McKee Amy M Dagro Scott T Grafton Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
description	This article presents the integration of brain injury biomechanics and graph theoretical analysis of neuronal connections, or connectomics, to form a neurocomputational model that captures spatiotemporal characteristics of trauma. We relate localized mechanical brain damage predicted from biofidelic finite element simulations of the human head subjected to impact with degradation in the structural connectome for a single individual. The finite element model incorporates various length scales into the full head simulations by including anisotropic constitutive laws informed by diffusion tensor imaging. Coupling between the finite element analysis and network-based tools is established through experimentally-based cellular injury thresholds for white matter regions. Once edges are degraded, graph theoretical measures are computed on the "damaged" network. For a frontal impact, the simulations predict that the temporal and occipital regions undergo the most axonal strain and strain rate at short times (less than 24 hrs), which leads to cellular death initiation, which results in damage that shows dependence on angle of impact and underlying microstructure of brain tissue. The monotonic cellular death relationships predict a spatiotemporal change of structural damage. Interestingly, at 96 hrs post-impact, computations predict no network nodes were completely disconnected from the network, despite significant damage to network edges. At early times (t < 24 hrs) network measures of global and local efficiency were degraded little; however, as time increased to 96 hrs the network properties were significantly reduced. In the future, this computational framework could help inform functional networks from physics-based structural brain biomechanics to obtain not only a biomechanics-based understanding of injury, but also neurophysiological insight.
format	article
author	Reuben H Kraft Phillip Justin McKee Amy M Dagro Scott T Grafton
author_facet	Reuben H Kraft Phillip Justin McKee Amy M Dagro Scott T Grafton
author_sort	Reuben H Kraft
title	Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
title_short	Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
title_full	Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
title_fullStr	Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
title_full_unstemmed	Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
title_sort	combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/79c587ab439b491eb59dc8ea5236e5a5
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Combining the finite element method with structural connectome-based analysis for modeling neurotrauma: connectome neurotrauma mechanics.

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