Guo, L;
Vardakis, IC;
Lassila, T;
Mitolo, M;
Ravikumar, N;
Chou, D;
Lange, M;
... Ventikos, Y; + view all
(2018)
Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease.
Interface Focus
, 8
(1)
, Article 20170019. 10.1098/rsfs.2017.0019.
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Abstract
There is emerging evidence suggesting that Alzheimer'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.
Type: | Article |
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Title: | Subject-specific multi-poroelastic model for exploring the risk factors associated with the early stages of Alzheimer's disease |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1098/rsfs.2017.0019 |
Publisher version: | http://doi.org/10.1098/rsfs.2017.0019 |
Language: | English |
Additional information: | Copyright © 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. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10040241 |
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