Literature DB >> 24427526

Modelling of the physiological response of the brain to ischaemic stroke.

Piotr Orlowski1, David O'Neill1, Vicente Grau1, Yiannis Ventikos1, Stephen Payne1.   

Abstract

Identification of salvageable brain tissue is a major challenge when planning the treatment of ischaemic stroke. As the standard technique used in this context, the perfusion-diffusion mismatch, has not shown total accuracy, there is an ongoing search for new imaging protocols that could better identify the region of the brain at risk and for new physiological models that could, on the one hand, incorporate the imaged parameters and predict the evolution of the condition for the individual, and, on the other hand, identify future biomarkers and thus suggest new directions for the design of imaging protocols. Recently, models of cellular metabolism after stroke and blood-brain barrier transport at tissue level have been introduced. We now extend these results by developing a model of the propagation of key metabolites in the brain's extracellular space owing to stroke-related oedema and chemical concentration gradients between the ischaemic and normal brain. We also couple the resulting chemical changes in the extracellular space with cellular metabolism. Our work enables the first patient-specific simulations of stroke progression with finite volume models to be made.

Entities:  

Keywords:  diffusion; ischaemia; oedema; stroke

Year:  2013        PMID: 24427526      PMCID: PMC3638479          DOI: 10.1098/rsfs.2012.0079

Source DB:  PubMed          Journal:  Interface Focus        ISSN: 2042-8898            Impact factor:   3.906


  26 in total

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Journal:  Microcirculation       Date:  2012-02       Impact factor: 2.628

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Authors:  Piotr Orlowski; Michael Chappell; Chang Sub Park; Vicente Grau; Stephen Payne
Journal:  Interface Focus       Date:  2011-03-23       Impact factor: 3.906

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Authors:  Maria L Cotrina; Nanghong Lou; Jessica Tome-Garcia; James Goldman; Maiken Nedergaard
Journal:  Neuroscience       Date:  2016-12-18       Impact factor: 3.590

2.  A Bayesian framework for the analysis of systems biology models of the brain.

Authors:  Joshua Russell-Buckland; Christopher P Barnes; Ilias Tachtsidis
Journal:  PLoS Comput Biol       Date:  2019-04-26       Impact factor: 4.475

3.  Modelling Blood Flow and Metabolism in the Preclinical Neonatal Brain during and Following Hypoxic-Ischaemia.

Authors:  Matthew Caldwell; Tracy Moroz; Tharindi Hapuarachchi; Alan Bainbridge; Nicola J Robertson; Chris E Cooper; Ilias Tachtsidis
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

  3 in total

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