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Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults

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Oxygen Transport to Tissue XXXIII

Part of the book series: Advances in Experimental Medicine and Biology ((AEMB,volume 737))

Abstract

The use of a mathematical model of cerebral physiology and metabolism may aid the interpretation of experimentally measured data. In this study, model outputs of tissue oxygen saturation (TOS) and velocity of blood in the middle cerebral artery (Vmca) were compared with experimentally measured signals (TOS using near-infrared spectroscopy and Vmca using transcranial Doppler) acquired during hypercapnia in healthy volunteers. Initially, some systematic discrepancies between predicted and measured values of these variables were identified. The model was optimised to best fit the measured data by adjusting model parameters. To improve the fit, three additional model mechanisms were considered. These were: an extracerebral contribution to TOS, a change in venous volume with CO2 levels and a change in oxygen consumption with CO2 levels. Each mechanism, when used alone, improved the fit of the model to the data, although significant parameter changes were necessary. It is likely that a combination of these mechanisms will improve the success of modelling of TOS and Vmca changes during hypercapnia.

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Acknowledgments

The authors would like to thank the Wellcome Trust (088429/Z/09/Z) and the Centre for Mathematics and Physics in the Life Sciences and Experimental Biology for the financial support of this work. This work was undertaken at University College London Hospitals and partially funded by the UK Department of Health’s National Institute for Health Research Centres funding scheme.

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Authors and Affiliations

  1. Biomedical Optics Research Laboratory, Department of Medical Physics and Bioengineering, University College London, Malet Place Engineering Building, Gower Street, London, WC1E 6BT, UK

    Tracy Moroz, Murad Banaji, Martin Tisdall, Clare E. Elwell & Ilias Tachtsidis

  2. Department of Biological Sciences, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ, UK

    Chris E. Cooper

Authors
  1. Tracy Moroz
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  2. Murad Banaji
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  3. Martin Tisdall
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  4. Chris E. Cooper
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  5. Clare E. Elwell
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  6. Ilias Tachtsidis
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Corresponding author

Correspondence to Ilias Tachtsidis .

Editor information

Editors and Affiliations

  1. , Division of Neonatology, University Hospital Zurich, Frauenklinikstr. 10, Zurich, 8091, Switzerland

    Martin Wolf

  2. , Division of Neonatology, University Hospital Zurich, Frauenklinikstr. 10, Zurich, 8091, Switzerland

    Hans Ulrich Bucher

  3. Institute for Biomedical Engineering, University of Zurich/ETHZ, Wolfgang-Pauli-Strasse 27, Zurich, 8093, Switzerland

    Markus Rudin

  4. ESAT-SCD(SISTA), Dept. Elektrotechniek, Katholieke Universiteit Leuven, Kasteelpark Arenberg 10, Leuven-Heverlee, 3001, Belgium

    Sabine Van Huffel

  5. , Institute of Complementary Medicine KIKO, University of Bern, Imhoof-Pavillon, Inselspital, Bern, 3010, Switzerland

    Ursula Wolf

  6. Synthesizer Inc., Synthesizer Inc. 2773, Ellicott City, 21043, Maryland, USA

    Duane F. Bruley

  7. , Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom

    David K Harrison

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Moroz, T., Banaji, M., Tisdall, M., Cooper, C.E., Elwell, C.E., Tachtsidis, I. (2012). Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults. In: Wolf, M., et al. Oxygen Transport to Tissue XXXIII. Advances in Experimental Medicine and Biology, vol 737. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-1566-4_43

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