Project overview
The brain, more than any other organ in the body, requires a constant supply of blood in order to maintain its function. When blood pressure drops, small arteries dilate to restore flow levels, and when pressure rises, they constrict to protect the most delicate blood vessels and avoid bleeding in the brain. This control system can however become impaired for example following stroke, head trauma, in dementia or following premature birth and this has been associated with worse outcomes for the patient. Failure of the control system also has important implications for the management of patient's blood pressure: changes in blood pressure could be dangerous without the protection of this 'autoregulatory' system. This project aims to improve methods for measuring cerebral autoregulation and to gain a deeper understanding of the complex relationship between blood pressure and blood flow in healthy individuals and patients following stroke. While much work has been done in this field, experimental and technical challenges in assessing the control function has so far led to only limited benefit to patients. The control system is highly complex and, typical of such biological systems, there are multiple complementary physiological mechanisms working in parallel. There are indications that even in healthy individuals there are differences in the manner and the extent to which they control the flow. Impairment may also affect different mechanisms to a varying extent in different individuals. This has important implications for grading an individual's autoregulation, as the conventional approach, based on a single number to quantifying the strength of autoregulation, is likely to be inadequate. This project sets out in a new direction for the field, by focussing on the diversity of ways in which brain blood flow may operate in different individuals, rather than studying average group behaviour, which has so far been the predominant approach. It also breaks new ground methodologically by integrating the study of blood flow control with that of blood pressure control, based on the complementary roles these have in ensuring that the brain receives sufficient blood. We will thus investigate a sample of healthy volunteers in detail. We will repeatedly record blood pressure and flow, heart-rate and carbon dioxide levels during spontaneous fluctuations at rest, and during challenges in a range of protocols (periodic squatting, raising the upper body of volunteers, applying random pressure changes to a cuff around the thighs, breathing air with 5% CO2). Using advanced data analysis methods (signal processing and mathematical modelling), some of which will be developed and optimized as part of this project, we will quantify the simultaneous control of blood pressure and flow and aim to identify characteristic differences between individuals and sub-groups. Building on the differences observed in the healthy subjects, we will also study a group of patients during the first days and weeks after they have suffered a stroke. We aim to quantify the impairments in blood flow and blood pressure control, with a view to improving understanding of the evolution of this condition, and how this might impact the management of their blood pressure in the acute and chronic phase. Correct functioning of these control systems is thought to be key in making effective clinical decisions, but currently there are no clear guidelines due to a lack of understanding of the impairments in each individual patient and also the methods for their measurement. The overarching aim of this multicentre and multidisciplinary project is thus to lay the foundations for a personalized approach to managing blood pressure control after stroke, based on characterising individuals' blood pressure and flow control, and thus to protect patients' brains from further damage.
Staff
Lead researchers
Collaborating research institutes, centres and groups
Research outputs
Jack, Edward Douglas Bryant, Anthony Birch, Ronney B. Panerai, Dragana Nikolic, Diederik Bulters & David Simpson,
2021, Physiological Measurement, 42(10)
Type: article
David Simpson, Stephen J. Payne & Ronney B. Panerai,
2021, Journal of Cerebral Blood Flow and Metabolism
Type: review
jia liu, Zhen-Ni Guo, David Simpson, Pandeng Zhang, Chang Liu, Jia-Ning song, xinyi Leng & Yi Yang,
2020, IEEE Journal of Biomedical and Health Informatics, 25(4), 909-921
Type: article
Zhen Ni Guo, Wei Tong Guo, Jia Liu, Junlei Chang, Hongyin Ma, Peng Zhang, Fu Liang Zhang, Ke Han, Han Hwa Hu, Hang Jin, Xin Sun, David Martin Simpson & Yi Yang,
2019, Neurology, 93(1), e8-e19
Type: article
L. Rodríguez-Liñares & D.M. Simpson,
2019, Biomedical Signal Processing and Control, 52, 187-197
Type: article
Marit L. Sanders, Jurgen A.H.R. Claassen, Marcel Aries, Edson Bor-Seng-Shu, Alexander Caicedo, Max Chacon, Erik D. Gommer, Sabine Van Huffel, José L. Jara, Kyriaki Kostoglou, Adam Mahdi, Vasilis Z. Marmarelis, Georgios D. Mitsis, Martin Müller, Dragana Nikolic, Ricardo C. Nogueira, Stephen J. Payne, Corina Puppo, Dae C. Shin, David M. Simpson, Takashi Tarumi, Bernardo Yelicich, Rong Zhang, Ronney B. Panerai & Jan Willem J. Elting,
2018, Physiological Measurement, 39(12)
Type: article
David Simpson & Jurgen Claassen,
2018, Journal of Physiology, 596(1), 7-9
DOI: 10.1113/JP273900
Type: article