Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease

Guo, L, Vardakis, JC, Lassila, T et al. (11 more authors) (2018) Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease. Interface Focus, 8 (1). ARTN 20170019. ISSN 2042-8898

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: (c) 2018 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
Keywords: Alzheimer's disease; poroelasticity; finite-element method; permeability tensor map; cerebral blood flow; cerebrospinal fluid
Dates:
  • Published: 6 February 2018
  • Accepted: 1 September 2017
  • Published (online): 15 December 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 10 Aug 2018 10:22
Last Modified: 10 Aug 2018 10:22
Status: Published
Publisher: The Royal Society
Identification Number: https://doi.org/10.1098/rsfs.2017.0019

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