Combining the Finite Element Method with Structural Connectome-based Analysis for Modeling Neurotrauma: Connectome Neurotrauma Mechanics

Reuben H. Kraft, Phillip Justin Mckee, Amy M. Dagro, Scott T. Grafton

Research output: Contribution to journalArticle

46 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Article numbere1002619
JournalPLoS computational biology
Volume8
Issue number8
DOIs
StatePublished - Aug 1 2012

Fingerprint

Connectome
biomechanics
Mechanics
Biomechanical Phenomena
mechanics
finite element method
Biomechanics
brain
Brain
finite element analysis
Finite Element Method
Finite element method
damage
Wounds and Injuries
Head
Modeling
death
modeling
brain damage
Occipital Lobe

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

Cite this

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Combining the Finite Element Method with Structural Connectome-based Analysis for Modeling Neurotrauma : Connectome Neurotrauma Mechanics. / Kraft, Reuben H.; Mckee, Phillip Justin; Dagro, Amy M.; Grafton, Scott T.

In: PLoS computational biology, Vol. 8, No. 8, e1002619, 01.08.2012.

Research output: Contribution to journalArticle

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