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A nonlinear viscoelastic fractional derivative model of infant hydrocephalus
Authors:KP WilkieCS Drapaca  S Sivaloganathan
Institution:a Center of Cancer Systems Biology, St. Elizabeth’s Medical Center, Tufts University School of Medicine, Boston, MA 02135, USA
b Department of Engineering Science and Mechanics, The Pennsylvania State University, University Park, PA 16802, USA
c Department of Applied Mathematics, University of Waterloo, Waterloo, ON, Canada N2J 3G1
d Centre for Mathematical Medicine, Fields Institute for Mathematical Sciences, Toronto, ON, Canada M5T 3J1
Abstract:Infant communicating hydrocephalus is a clinical condition where the cerebral ventricles become enlarged causing the developing brain parenchyma of the newborn to be displaced outwards into the soft, unfused skull. In this paper, a hyperelastic, fractional derivative viscoelastic model is derived to describe infant brain tissue under conditions consistent with the development of hydrocephalus. An incremental numerical technique is developed to determine the relationship between tissue deformation and applied pressure gradients. Using parameter values appropriate for infant parenchyma, it is shown that pressure gradients of the order of 1 mm Hg are sufficient to cause hydrocephalus. Predicting brain tissue deformations resulting from pressure gradients is of interest and relevance to the treatment and management of hydrocephalus, and to the best of our knowledge, this is the first time that results of this nature have been established.
Keywords:Brain biomechanics  Nonlinear viscoelasticity  Hyperelastic  Fractional derivative  Hydrocephalus
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