New methods for assessing the control of blood flow in the brain

Lead Research Organisation: University of Southampton
Department Name: Faculty of Engineering & the Environment

Abstract

In England, approximately 110,000 patients suffer a stroke each year, and at least 300,000 people live with moderate to severe disabilities as a result. The direct cost to the NHS of stroke is estimated to be 2.8 billion per year, with additional costs of informal care around 2.4 billion. Stroke accounts for about 11% of deaths, and around half of the survivors depend on others for everyday activities. Further research to reduce the incidence and long-term consequences of strokes on patients' lives is clearly called for. The brain requires a constant supply of blood to ensure that sufficient oxygen and nutrients are always available, and waste products produced by active cells are rapidly removed. A complex control system that dilates and constricts small arteries in the brain achieves this efficiently in healthy humans. This system, which is still poorly understood, responds to changing blood pressure (e.g. during exercise or when standing up), changes in breathing pattern, and variations in brain activity (e.g. waking / sleeping or responding to sensory stimuli). If the control system fails (e.g. following trauma or in premature babies), the subject may suffer from insufficient or excessive blood flow, either of which can lead to temporary or permanent brain damage, provoking strokes or aggravating their consequences. It is important to detect impairment of the control system early, in order to ensure appropriate care for the patient, such as keeping their blood pressure constant to avoid further brain damage. However, it is very difficult to measure whether a patient's blood flow is adequately regulated. Techniques that are currently used may require the patients' blood pressure to be changed quite considerably, but this cannot be done safely in vulnerable subjects. Procedures used are often uncomfortable and results not very reliable.We are proposing new experimental methods that are less aggressive and therefore might in the future be used in a wider group of patients. These methods use a variety of repeated small random changes in blood pressure (and also inhaled carbon dioxide concentrations), rather than larger swings. Extending previous work carried out by our teams in Southampton, Leicester and Norwich, we will simultaneously record blood pressure (using non-invasive methods) and blood flow in two arteries in the brain (using Doppler ultrasound applied on the outside of the head over the temples), together with CO2 in breathed air. From the small fluctuations in the prolonged recordings of these signals, we will estimate the characteristics of the system controlling blood flow, and in particular whether it is operating adequately, or is impaired. We will only carry out the experiments on healthy adult volunteers, and will provoke temporary impairment of the control system, by inhalation of air with increased levels of CO2, a procedure that is quite safe in the controlled laboratory conditions.In addition to developing new experimental methods, we will also develop and apply novel mathematical and computational techniques for signal-data analysis, which we believe will be more effective for the data we are investigating. Advanced statistical methods will be used to analyse results, and distinguish the known random variations between subjects (and also in repeated test in the same subject), from significant changes. In this joint project, we will be able to compare a number of different experimental methods and data processing techniques, in order to identify the ones with the best performance.In summary, the aims of the project are to investigate and develop new experimental protocols and data analysis methods, in order to provide new techniques that can be used to assess patients' brain blood flow control. We also expect this work to help understand better, how the control system works in healthy human subjects. As outcome we expect to recommend one or more new methods for future use in hospitals.

Publications

10 25 50
publication icon
Angarita-Jaimes N (2014) Optimising the assessment of cerebral autoregulation from black box models. in Medical engineering & physics

publication icon
Claassen JA (2016) Transfer function analysis of dynamic cerebral autoregulation: A white paper from the International Cerebral Autoregulation Research Network. in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

 
Description This successful project aimed to develop new methods for the detection of impairment in the ability of the brain to control its blood supply. The proposed experimental methods proved to be feasible and reasonably comfortable for future clinical application. The methods lead to the planned controlled increase in the variability of blood pressure and hence blood flow. Improvement in the estimated blood flow control was observed, to which both the new experimental methods and also improved data processing strategies contributed. More recent analysis using some of this data has shown the significant individual differences between subjects, and the impact this has on the benefit of the more sophisticated experimental protocols.
Exploitation Route Diagnosis of impaired blood flow control in the brain, and hence improved management of patients at risk from (further) brain injury. Diagnostic instrumentation, software and services.

New research tools for clinical and physiological research.

The continued analysis of the data collected is allowing further insights into the intra- and inter-individual differences in cerebral autoregulation. This is expected to guide the development of future experimental protocols, that aim to address the key limitations of currently standard procedures (such as subjects at rest), by specifically targeting between subject, within subjects (repeatability) and within measurement (e.g. due to noise and artefact; short-term time-varying behaviour) variability.
Sectors Healthcare

 
Description The findings from this project with regard to new data analysis methods are being further assessed in a new, international multi-centre study, to select those best suited for clinical use. These methods are also being taken forward in on-going work by our group and others, to redefine 'normal' (healthy) physiological responses and identify specific changes in ill-health with a view to improving personalized treatment. The continuation of this work will involve patients and more clinicians. The project resulted in the formation of the Cerebral Autoregulation Research Network (www.car-net.org), which has now grown to some 150 members and an annual conference which started in London, then moved to Neijmegen (NL), Porto (PT), San Diego (USA), Southampton (UK) and Boston (USA - 2016) . The collaboration has lead to the definition of a standard for data-analysis (published 2016) and accompanying software package as well as collaborative research proposals.
First Year Of Impact 2011
Sector Healthcare
Impact Types Societal

 
Title Software for the analysis of autoregulation 
Description Algorithms and software for the analysis of brain blood flow control 
Type Of Material Model of mechanisms or symptoms - human 
Year Produced 2015 
Provided To Others? Yes  
Impact Standardization of data analysis tool across international centres, some of which do not have strong expertise in signal processing. The availability of the tool ensures consistent analysis and avoids one source of error in comparing results from different publications. Previously, the analysis software was made available in an ad-hoc manner, and this has now been formalized through the network of the international collaborative research group. Use in an international multi-centre evaluation of alternative methods. International, multi-centre funding applications. 
URL http://www.car-net.org/content/resources/tools#tabTools
 
Description Leicester 
Organisation University of Leicester
Country United Kingdom 
Sector Academic/University 
PI Contribution Exchange of data, data analysis methods and scientific discussion. Clinical and physiology input and advice.
Collaborator Contribution Exchange of data, data analysis methods and scientific discussion
Impact Improved experimental and data analysis methods for understanding and assessment of cerebral blood flow control and cardiovascular control. Publications (see e.g. EPSRC project) Formation of the Cerebral Autoregulation Research Network (www.car-net.org), which has resulted in an annual international meeting specialising in the field, a number of joint research proposals and two joint multicentre papers, guiding the field into the future. Preparation of joint research proposals (including EU and Transatlantic)
Start Year 2006
 
Description Norwich 
Organisation University of East Anglia
Country United Kingdom 
Sector Academic/University 
PI Contribution Data analysis
Collaborator Contribution Clinical advice; support in data collection
Impact Improved experimental and data analysis methods for the assessment of blood flow control in the brain. This is multidisciplinary, involving engineering, physiology and medicine.
Start Year 2008
 
Description Science Day 2016 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact A stand at the Southampton Science and Engineering Day on Doppler Ultrasound and cardiovascular function stimulated much lively interest with a wide audience. This is a
family day with many relatively young children and their parents exploring a broad range of science demonstrations and presentations.
Year(s) Of Engagement Activity 2014,2015,2016
 
Description Southampton Science Week 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? Yes
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact Sparked interest. Teachers requested further information. Invitation to schools.
Year(s) Of Engagement Activity 2008,2009,2010,2011