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

Author:

Guo Liwei1ORCID,Vardakis John C.1ORCID,Lassila Toni2ORCID,Mitolo Micaela3,Ravikumar Nishant4,Chou Dean5,Lange Matthias2,Sarrami-Foroushani Ali2ORCID,Tully Brett J.6ORCID,Taylor Zeike A.4ORCID,Varma Susheel2ORCID,Venneri Annalena7ORCID,Frangi Alejandro F.2ORCID,Ventikos Yiannis1ORCID

Affiliation:

1. Department of Mechanical Engineering, University College London, London, UK

2. Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield, UK

3. IRCCS San Camillo Foundation Hospital, Venice, Italy

4. Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Department of Mechanical Engineering, University of Sheffield, Sheffield, UK

5. Institute of Biomedical Engineering and Department of Engineering Science, University of Oxford, Oxford, UK

6. Children's Medical Research Institute and School of Medical Sciences, Sydney Medical School, The University of Sydney, Westmead, Australia

7. Department of Neuroscience, Medical School, University of Sheffield, Sheffield, UK

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.

Funder

Seventh Framework Programme

Engineering and Physical Sciences Research Council

EPSRC-NIHR HTC Partnership Award

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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