@article{d5a6ff7efb7a41cf96733a9a9f7fb338,
title = "Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer{\textquoteright}s disease",
abstract = "There is emerging evidence suggesting that Alzheimer{\textquoteright}s disease is a vascular disorder, caused by impaired cerebral perfusion, which may be promoted by cardiovascular risk factors that are strongly influenced by lifestyle. In order to develop an understanding of the exact nature of such a hypothesis, a biomechanical understanding of the influence of lifestyle factors is pursued. An extended poroelastic model of perfused parenchymal tissue coupled with separate workflows concerning subject-specific meshes, permeability tensor maps and cerebral blood flow variability is used. The subject-specific datasets used in the modelling of this paper were collected as part of prospective data collection. Two cases were simulated involving male, non-smokers (control and mild cognitive impairment (MCI) case) during two states of activity (high and low). Results showed a marginally reduced clearance of cerebrospinal fluid (CSF)/interstitial fluid (ISF), elevated parenchymal tissue displacement and CSF/ISF accumulation and drainage in the MCI case. The peak perfusion remained at 8 mm s-1 between the two cases.",
keywords = "Alzheimer{\textquoteright}s disease, Cerebral blood flow, Cerebrospinal fluid, Finite-element method, Permeability tensor map, Poroelasticity",
author = "Liwei Guo and Vardakis, {John C.} and Toni Lassila and Micaela Mitolo and Nishant Ravikumar and Dean Chou and Matthias Lange and Ali Sarrami-Foroushani and Tully, {Brett J.} and Taylor, {Zeike A.} and Susheel Varma and Annalena Venneri and Frangi, {Alejandro F.} and Yiannis Ventikos",
note = "Funding Information: The work has been supported by the European Commission FP7 project VPH-DARE@IT (FP7-ICT-2011-9-601055), and partially by the EPSRC-funded projects OCEAN (EP/M006328/1) and EPSRC-NIHR HTC Partnership Award {\textquoteleft}Plus{\textquoteright}: Medical Image Analysis Network (EP/N026993/1). Funding Information: 1Department of Mechanical Engineering, University College London, London, UK 2Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK 3IRCCS San Camillo Foundation Hospital, Venice, Italy 4Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Mechanical Engineering, University of Sheffield, Sheffield, UK 5Institute of Biomedical Engineering and Department of Engineering Science, University of Oxford, Oxford, UK 6Children{\textquoteright}s Medical Research Institute and School of Medical Sciences, Sydney Medical School, The University of Sydney, Westmead, Australia 7Department of Neuroscience, Medical School, University of Sheffield, Sheffield, UK Publisher Copyright: {\textcopyright} 2018 The Author(s) Published by the Royal Society. All rights reserved.",
year = "2018",
month = dec,
day = "15",
doi = "10.1098/rsfs.2017.0019",
language = "English",
volume = "8",
journal = "Interface Focus",
issn = "2042-8898",
publisher = "The Royal Society Publishing",
number = "1",
}