Diversity in blood flow control to the brain: moving from individualized modelling towards personalized treatment of the injured brain

大脑血流控制的多样性：从个性化建模转向受伤大脑的个性化治疗

• 批准号: EP/K036157/1
• 负责人: David Simpson
• 金额: $ 41.48万
• 依托单位: University of Southampton
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK036157%2F1
• 关键词: Diversity; blood; flow; control; brain

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.

大脑比身体中的任何其他器官都更需要持续的血液供应来维持其功能。当血压下降时，小动脉扩张以恢复流量水平，当血压升高时，它们收缩以保护最脆弱的血管并避免大脑出血。然而，该控制系统可能例如在中风、头部创伤、痴呆或早产之后受损，并且这与患者的更差结果相关。控制系统的故障也对患者的血压管理有重要影响：如果没有这种“自动调节”系统的保护，血压的变化可能是危险的。本项目旨在改进测量脑自动调节的方法，并更深入地了解健康个体和中风患者血压和血流之间的复杂关系。虽然在这一领域已经做了大量的工作，但迄今为止，评估控制功能的实验和技术挑战只给患者带来有限的益处。控制系统是高度复杂的，典型的生物系统，有多个互补的生理机制并行工作。有迹象表明，即使在健康的个体中，他们控制流量的方式和程度也存在差异。损伤还可能在不同的个体中以不同的程度影响不同的机制。这对于对个体的自动调节进行分级具有重要意义，因为基于单个数字来量化自动调节强度的传统方法可能是不够的。该项目为该领域开辟了一个新的方向，重点关注脑血流在不同个体中运作的方式的多样性，而不是研究迄今为止占主导地位的平均群体行为。此外，在方法论上也有新的突破，将血流量控制和血压控制的研究结合起来，两者在保证大脑获得充足血液方面具有互补作用。因此，我们将对健康志愿者样本进行详细调查。我们将反复记录血压和流量，心率和二氧化碳水平，在休息时的自发波动，并在一系列协议的挑战（定期蹲下，提高志愿者的上身，施加随机压力变化到大腿周围的袖带，呼吸5%CO2的空气）。使用先进的数据分析方法（信号处理和数学建模），其中一些将作为本项目的一部分进行开发和优化，我们将量化血压和流量的同时控制，并旨在识别个体和亚组之间的特征差异。基于在健康受试者中观察到的差异，我们还将研究一组中风后最初几天和几周的患者。我们的目标是量化血流和血压控制的损害，以期提高对这种疾病演变的理解，以及这可能如何影响急性和慢性阶段的血压管理。这些控制系统的正确功能被认为是做出有效临床决策的关键，但目前由于缺乏对每个患者的损伤及其测量方法的了解，没有明确的指导方针。因此，这个多中心和多学科项目的首要目标是为卒中后管理血压控制的个性化方法奠定基础，根据个人的血压和流量控制特征，从而保护患者的大脑免受进一步的损害。

项目成果

Estimation of confidence limits for descriptive indexes derived from autoregressive analysis of time series: Methods and application to heart rate variability.

• DOI: 10.1371/journal.pone.0183230
• 发表时间: 2017
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Beda A;Simpson DM;Faes L
• 通讯作者: Faes L

Structural Identifiability Analysis of Fractional Order Models with Applications in Battery Systems

分数阶模型的结构可辨识性分析及其在电池系统中的应用

• DOI: 10.48550/arxiv.1511.01402
• 发表时间: 2015
• 作者: Alavi S

Estimating confidence intervals for cerebral autoregulation: a parametric bootstrap approach.

估计大脑自动调节的置信区间：参数引导方法。

• DOI: 10.1088/1361-6579/ac27b8
• 发表时间: 2021
• 期刊: Physiological measurement
• 影响因子: 3.2
• 作者: Bryant JED

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

• DOI: 10.1371/journal.pone.0227651
• 发表时间: 2020-01-10
• 期刊: PLOS ONE
• 影响因子: 3.7
• 作者: Elting, Jan Willem;Sanders, Marit L.;Claassen, Jurgen A. H. R.
• 通讯作者: Claassen, Jurgen A. H. R.

White paper on transfer function analysis: a consensus guideline

传递函数分析白皮书：共识指南

• 发表时间: 2015
• 作者: Claassen JA