@article{discovery1364853, volume = {765}, year = {2013}, title = {Modelling cerebrovascular reactivity: a novel near-infrared biomarker of cerebral autoregulation?}, journal = {Adv Exp Med Biol}, note = {{\copyright} Springer Science+Business Media New York 2013. This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.}, pages = {87 -- 93}, issn = {0065-2598}, author = {Highton, D and Panovska-Griffiths, J and Ghosh, A and Tachtsidis, I and Banaji, M and Elwell, C and Smith, M}, abstract = {Understanding changes in cerebral oxygenation, haemodynamics and metabolism holds the key to individualised, optimised therapy after acute brain injury. Near-infrared spectroscopy (NIRS) offers the potential for non-invasive, continuous bedside measurement of surrogates for these processes. Interest has grown in applying this technique to interpret cerebrovascular pressure reactivity (CVPR), a surrogate of the brain's ability to autoregulate blood flow. We describe a physiological model-based approach to NIRS interpretation which predicts autoregulatory efficiency from a model parameter k\_aut. Data from three critically brain-injured patients exhibiting a change in CVPR were investigated. An optimal value for k\_aut was determined to minimise the difference between measured and simulated outputs. Optimal values for k\_aut appropriately tracked changes in CVPR under most circumstances. Further development of this technique could be used to track CVPR providing targets for individualised management of patients with altered vascular reactivity, minimising secondary neurological insults.}, url = {http://dx.doi.org/10.1007/978-1-4614-4989-8\%5f13}, keywords = {Biological Markers, Brain, Brain Injuries, Cerebrovascular Circulation, Hemodynamics, Homeostasis, Humans, Monitoring, Physiologic, Oxidation-Reduction, Oxygen, Spectroscopy, Near-Infrared} }