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

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 signa...

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Autores principales: Moroz, Tracy, Banaji, Murad, Tisdall, Martin, Cooper, Chris E., Elwell, Clare E., Tachtsidis, Ilias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038012/
https://www.ncbi.nlm.nih.gov/pubmed/22259116
http://dx.doi.org/10.1007/978-1-4614-1566-4_43
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author Moroz, Tracy
Banaji, Murad
Tisdall, Martin
Cooper, Chris E.
Elwell, Clare E.
Tachtsidis, Ilias
author_facet Moroz, Tracy
Banaji, Murad
Tisdall, Martin
Cooper, Chris E.
Elwell, Clare E.
Tachtsidis, Ilias
author_sort Moroz, Tracy
collection PubMed
description 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 CO(2) levels, and a change in oxygen consumption with CO(2) 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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spelling pubmed-40380122014-06-02 Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults Moroz, Tracy Banaji, Murad Tisdall, Martin Cooper, Chris E. Elwell, Clare E. Tachtsidis, Ilias Adv Exp Med Biol Article 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 CO(2) levels, and a change in oxygen consumption with CO(2) 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. Springer 2012 /pmc/articles/PMC4038012/ /pubmed/22259116 http://dx.doi.org/10.1007/978-1-4614-1566-4_43 Text en
spellingShingle Article
Moroz, Tracy
Banaji, Murad
Tisdall, Martin
Cooper, Chris E.
Elwell, Clare E.
Tachtsidis, Ilias
Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title_full Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title_fullStr Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title_full_unstemmed Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title_short Development of a Model to Aid NIRS Data Interpretation: Results from a Hypercapnia Study in Healthy Adults
title_sort development of a model to aid nirs data interpretation: results from a hypercapnia study in healthy adults
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038012/
https://www.ncbi.nlm.nih.gov/pubmed/22259116
http://dx.doi.org/10.1007/978-1-4614-1566-4_43
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