Title

A multiscale modeling approach to investigate traumatic brain injury

Advisor

Prabhu, Raj K.

Committee Member

Horstemeyer, Mark F.

Committee Member

LaPlaca, Michelle C.

Committee Member

Priddy, Lauren B.

Committee Member

Olivier, Alicia

Other Advisors or Committee Members

Elder, Steve H.||Keith, Jason M.

Date of Degree

8-1-2019

Original embargo terms

7/17/2020||

Document Type

Dissertation - Open Access

Major

Biomedical Engineering

Degree Name

Doctor of Philosophy

College

James Worth Bagley College of Engineering

Department

Department of Agricultural and Biological Engineering

Abstract

In the current study, mechanoporation-related neuronal injury as a result of mechanical loading has been studied using a multiscale approach. Injurious mechanical loads to the head induce strains in the brain tissue at the macroscale. As each length scale has its own unique morphology and heterogeneities, the strains have been scaled down from the macroscale brain tissue to the nanoscale neuronal components that result in mechanoporation of the neuronal membrane, while relevant neuronal membrane mechanoporation-related damage criteria have been scaled up to the macroscale. To achieve this, first, damage evolution equations has been developed and calibrated to molecular dynamics simulations of a representative neuronal membrane at the nanoscale. These damage evolution equations are strain rate and strain state dependent. The resulting damage evolution model has been combined with Nernst-Planck diffusion equations to analytically compare to intracellular ion concentration disruption through mechanical loading of in vitro neuron cell culture and found to agree well. Then, these damage evolution equations have been scaled up to the microscale for dynamic simulations of 3-dimensional reconstructed neurons of similar mechanical loads. It was found that the neuronal orientation significantly affects average damage accumulation on the neuron, while the morphology of neurons, for a given neuron type, had little effect on the average damage accumulation. At the mesoscale, finite element simulations of geometrical complexities of sulci and gyri, and the structural complexities of the gray and white matter and CSF on stress localization were studied. It was found that the brain convolutions, sulci, and gyri, along with the effects of impedance mismatch between the cerebrospinal fluid (CSF) and brain tissue localized shear stresses, at the depths of the sulcus end (near field effects) and in-between sulci (far field effects), that correlated well with the regions of tau protein accumulation that is observed in chronic traumatic encephalopathy (CTE). Further, sulcus length and orientation, with respect to impending stress waves, had a significant impact on the magnitude of stress localization in the brain tissue. Lastly, gray-white matter differentiation, pia matter, and brain-CSF interface interaction properties had minimal impact of the shear stress localization trends observed in these simulations.

URI

https://hdl.handle.net/11668/14515

This document is currently not available here.

Share

COinS