Titlebook: Neural Tissue Biomechanics; Lynne E. Bilston Book 2011 Springer-Verlag Berlin Heidelberg 2011 Brain injury.Neural mechanotransduction.Neur

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Constitutive Modelling of Brain Tissue for Prediction of Traumatic Brain Injury,veloped for this material is given. A non-linear viscoelastic model for brain tissue is then discussed in more detail. The model is based on a multi-mode Maxwell model and consists of a non-linear elastic mode in combination with a number of viscoelastic modes. For this model, also a numerical imple

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Nerve and Nerve Root Biomechanics,heir neurons, there are distinct differences in their structure and composition. These variations contribute to differences in their mechanical response to loading owing to their strength and stiffness. However, both tissues are time-dependent and exhibit viscoelastic behavior. These time-dependent

Outmoded

In Vitro Models for Biomechanical Studies of Neural Tissues, mimics. We will further present what insights in vitro models can provide to complement in vivo and macroscopic biomechanics in terms of meso- to microscale material properties and tissue-level tolerance criteria. The discussion will focus primarily on central nervous system (CNS) tissue, which is

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Book 2011se are reviewed from the molecular to macroscopic scale. The book provides a comprehensive picture of the mechanical and biological response of neural tissues to the full spectrum of mechanical loading to which they are exposed. This book provides a comprehensive reference for professionals involved

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An Introduction to the Biomechanics of the Nervous System,des the nerves and associated structures that carry signals to and from the periphery. This chapter describes the organisation and anatomy of the nervous system, and provides an overview of the role played by mechanical factors in nervous system function and dysfunction.

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Brain Tissue Mechanical Properties,ular components and their interaction with the vasculature and interstitial fluid. Brain behaves as a very soft, highly nonlinear viscoelastic solid. It has been mechanically characterised in shear, tension and compression, but despite decades of research into its behaviour, there is still considera

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Constitutive Modelling of Brain Tissue for Prediction of Traumatic Brain Injury,he mechanical behaviour of the brain can be predicted for any acceleration and improved injury criteria can be developed and implemented into safety standards. Many head models are based on a detailed geometrical description of the anatomical components. However, for reliable predictions of injury,

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Modeling of the Brain for Injury Prevention,ms and establishing the associated tolerance values. For this reason, many numerical models of the human and animal head or brain have been developed over the past several decades in an attempt to obtain in-depth insights into brain injury biomechanics, minimizing the need for human subject research