Jelfs, B;
Banaji, M;
Tachtsidis, I;
Cooper, CE;
Elwell, CE;
(2012)
Modelling noninvasively measured cerebral signals during a hypoxemia challenge: steps towards individualised modelling.
PLoS One
, 7
(6)
, Article e38297. 10.1371/journal.pone.0038297.
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Abstract
Noninvasive approaches to measuring cerebral circulation and metabolism are crucial to furthering our understanding of brain function. These approaches also have considerable potential for clinical use "at the bedside". However, a highly nontrivial task and precondition if such methods are to be used routinely is the robust physiological interpretation of the data. In this paper, we explore the ability of a previously developed model of brain circulation and metabolism to explain and predict quantitatively the responses of physiological signals. The five signals all noninvasively-measured during hypoxemia in healthy volunteers include four signals measured using near-infrared spectroscopy along with middle cerebral artery blood flow measured using transcranial Doppler flowmetry. We show that optimising the model using partial data from an individual can increase its predictive power thus aiding the interpretation of NIRS signals in individuals. At the same time such optimisation can also help refine model parametrisation and provide confidence intervals on model parameters. Discrepancies between model and data which persist despite model optimisation are used to flag up important questions concerning the underlying physiology, and the reliability and physiological meaning of the signals.
| Type: | Article |
|---|---|
| Title: | Modelling noninvasively measured cerebral signals during a hypoxemia challenge: steps towards individualised modelling. |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1371/journal.pone.0038297 |
| Publisher version: | http://dx.doi.org/10.1371/journal.pone.0038297 |
| Language: | English |
| Additional information: | © 2012 Jelfs et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PMCID: PMC3367969 The initial study was undertaken at University College London Hospitals and partially funded by the Department of Health’s National Institute for Health Research Centres funding scheme. Subsequent research in this paper was funded in part by the Engineering and Physical Sciences Research Council grant EP/D060982/1, Medical Research Council (MRC) grant G0701458 and Wellcome Trust grant WT/089914/A/09/Z. No additional external funding received for this study and the funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |
| Keywords: | Adult, Anoxia, Blood Flow Velocity, Cerebrovascular Circulation, Female, Humans, Laser-Doppler Flowmetry, Male, Spectroscopy, Near-Infrared |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1350116 |
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