Moroz, T and Banaji, M and Robertson, NJ and Cooper, CE and Tachtsidis, I (2012) 'Computational modelling of the piglet brain to simulate near-infrared spectroscopy and magnetic resonance spectroscopy data collected during oxygen deprivation.' Journal of the Royal Society Interface, 9 (72). 1499 - 1509. ISSN 1742-5689
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Abstract
We describe a computational model to simulate measurements from near-infrared spectroscopy (NIRS) and magnetic resonance spectroscopy (MRS) in the piglet brain. Piglets are often subjected to anoxic, hypoxic and ischaemic insults, as experimental models for human neonates. The model aims to help interpret measurements and increase understanding of physiological processes occurring during such insults. It is an extension of a previous model of circulation and mitochondrial metabolism. This was developed to predict NIRS measurements in the brains of healthy adults i.e. concentration changes of oxyhaemoglobin and deoxyhaemoglobin and redox state changes of cytochrome c oxidase (CCO). We altered and enhanced the model to apply to the anaesthetized piglet brain. It now includes metabolites measured by 31P-MRS, namely phosphocreatine, inorganic phosphate and adenosine triphosphate (ATP). It also includes simple descriptions of glycolysis, lactate dynamics and the tricarboxylic acid (TCA) cycle. The model is described, and its simulations compared with existing measurements from piglets during anoxia. The NIRS and MRS measurements are predicted well, although this requires a reduction in blood pressure autoregulation. Predictions of the cerebral metabolic rate of oxygen consumption (CMRO2) and lactate concentration, which were not measured, are given. Finally, the model is used to investigate hypotheses regarding changes in CCO redox state during anoxia. © 2012 The Royal Society.
Item Type: | Article |
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Subjects: | Q Science > QH Natural history > QH301 Biology R Medicine > R Medicine (General) |
Divisions: | Faculty of Science and Health > Life Sciences, School of |
Depositing User: | Jim Jamieson |
Date Deposited: | 12 Jan 2013 17:10 |
Last Modified: | 05 Oct 2019 03:15 |
URI: | http://repository.essex.ac.uk/id/eprint/5071 |
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