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Analysis of slow wave oscillations in cerebral haemodynamics and metabolism following subarachnoid haemorrhage.

Highton, D; Ghosh, A; Tachtsidis, I; Elwell, C; Smith, M; (2014) Analysis of slow wave oscillations in cerebral haemodynamics and metabolism following subarachnoid haemorrhage. Adv Exp Med Biol , 812 195 - 201. 10.1007/978-1-4939-0620-8_26. Green open access

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Abstract

Aneurysmal subarachnoid haemorrhage (SAH) causes the greatest loss of productive life years of any form of stroke. Emerging concepts of pathophysiology highlight early abnormalities of microvascular function, including impaired autoregulation of cerebral blood flow and flow-metabolism coupling, as key causes of cerebral ischaemia and poor outcome. Near infrared spectroscopy (NIRS) is a non-invasive optical technique which may help identify cerebral microvascular dysfunction. The aim of this research is to investigate the status of flow-metabolism coupling by examining phase relationships between NIRS-derived concentrations of oxy-haemoglobin ([HbO2]), deoxy-haemoglobin ([HHb]) and cytochrome c oxidase oxidation ([oxCCO]). Eight sedated ventilated patients with SAH were investigated. A combined NIRS broadband and frequency domain spectroscopy system was used to measure [HbO2], [HHb] and [oxCCO] alongside other multimodal neuromonitoring. Wavelet analysis of phase relationships revealed antiphase [HbO2]-[oxCCO] and in-phase [HbO2]-[HHb] oscillations between 0.1Hz-0.01Hz consistent with compromised flow-metabolism coupling. NIRS derived variables might offer unique insights into microvascular and metabolic dysfunction following SAH, and in the future identify therapeutic windows or targets.

Type: Article
Title: Analysis of slow wave oscillations in cerebral haemodynamics and metabolism following subarachnoid haemorrhage.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-1-4939-0620-8_26
Publisher version: http://dx.doi.org/10.1007/978-1-4939-0620-8_26
Language: English
Additional information: © Springer Science+Business Media, LLC 2014. 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.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
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/1427482
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