Dr John C Vardakis, BEng, PhD - University College London - Research Associate in Integrative Cerebral Dynamics

Dr John C Vardakis

BEng, PhD

University College London

Research Associate in Integrative Cerebral Dynamics

London | United Kingdom

Main Specialties: Biology

Additional Specialties: CFD, FEM, Biomedical Engineering, Numerical Methods


Top Author

Dr John C Vardakis, BEng, PhD - University College London - Research Associate in Integrative Cerebral Dynamics

Dr John C Vardakis

BEng, PhD

Introduction

I'm a Research Associate in Integrative Cerebral Dynamics working with Professor Y. Ventikos at UCL. My main focus is developing a computational framework that will aid in the understanding of cerebral diseases arising from Dementia (such as Alzheimer's Disease, Vascular Dementia and Normal Pressure Hydrocephalus). We work within the VPH-DARE@IT project, which aims to deliver the first patient-specific predictive models for early differential diagnosis of dementias and their evolution. The foundations of the mathematical modelling that we work on lie in Multiple-Network Poroelastic Theory, adapted to patient specific cases and simulated through a combination of Computational Fluid Dynamics (currently aided by High Performance Computing) and the Finite Element Method. We are developing a modelling platform that can handle, in an anatomically accurate and patient specific manner, the transport and interplay of blood and cerebrospinal fluid with the parenchyma ā€“ the neuronal and astrocytic tissue that constitutes the functioning brain.

Primary Affiliation: University College London - London , United Kingdom

Specialties:

Additional Specialties:

Research Interests:

Metrics

Number of Publications

6

Publications

Number of Profile Views

894

Profile Views

Number of Article Reads

103

Reads

Number of PubMed Central Citations

4

PubMed Central Citations

Education

Feb 2015
University of Oxford
DPhil

Experience

May 2015
VPH-DARE@IT
Research Associate

Publications

6Publications

103Reads

4PubMed Central Citations

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

Interface Focus. 2017

Interface Focus

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 sāˆ’1 between the two cases.

View Article
December 2017
30 Reads

Response to letter to the editor concerning "A fully dynamic multi-compartmental poroelastic system: Application to aqueductal stenosis".

J Biomech 2017 06 16;58:243-246. Epub 2017 May 16.

Department of Mechanical Engineering, University College London, UK. Electronic address:

View Article
June 2017
26 Reads
2.75 Impact Factor

A fully dynamic multi-compartmental poroelastic system: Application to aqueductal stenosis.

J Biomech 2016 07 28;49(11):2306-2312. Epub 2015 Nov 28.

Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. Electronic address:

View Article
July 2016
26 Reads
2.75 Impact Factor

Investigating cerebral oedema using poroelasticity.

Med Eng Phys 2016 Jan 31;38(1):48-57. Epub 2015 Dec 31.

Department of Mechanical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. Electronic address:

View Article
January 2016
27 Reads
1 PubMed Central Citation(source)
1.82 Impact Factor

Exploring the efficacy of endoscopic ventriculostomy for hydrocephalus treatment via a multicompartmental poroelastic model of CSF transport: a computational perspective.

PLoS One 2013 31;8(12):e84577. Epub 2013 Dec 31.

Department of Mechanical Engineering, University College London, Torrington Place, London, United Kingdom.

View Article
September 2014
24 Reads
3 PubMed Central Citations(source)
3.23 Impact Factor

Multicompartmental Poroelasticity as a Platform for the Integrative Modeling of Water Transport in the Brain

n: GA. Holzapfel & E Kuhl (ed.), Computer Models in Biomechanics: From Nano to Macro, Springer-Verlag, Heidelberg

This work proposes the implementation of a multiple-network poroelastic theory (MPET) model for the purpose of investigating in detail the transport of water within the cerebral environment. The key advantage of using the MPET representation is that it accounts for fluid transport between CSF, brain parenchyma and cerebral blood. A further novelty in the model is the amalgamation of anatomically accurate Choroid Plexus regions, with their individual feeding arteries. This model is used to demonstrate and discuss the impact of aqueductal stenosis on the cerebral ventricles, along with possible future treatment techniques.

View Article
October 2012
28 Reads