Collaborative Research: CDI Type II: Dynamics and Control of Cardiac Tissue

合作研究：CDI II 型：心脏组织的动力学和控制

• 批准号: 1341128
• 负责人: Flavio Fenton
• 金额: $ 54.68万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-13 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1341128&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; Type; II

Complex spatiotemporal dynamics underlie many arrhythmic disorders of the heart. Despite decades of biomedical research and the development of increasingly detailed computational models, the mechanisms that induce and sustain these arrhythmias remain elusive. We seek to improve our fundamental understanding of these mechanisms by developing a radical and urgently needed paradigm shift from computationally intensive direct numerical simulations to a description of cardiac dynamics in terms of a finite repertoire of spatiotemporal patterns. Using cutting-edge numerical algorithms, we will compute a hierarchy of exact steady and time-periodic solutions of detailed ionic models of cardiac dynamics. These unstable solutions describe cardiac dynamics in terms of a finite repertoire of spatiotemporal patterns that are currently hidden from view. Their determination for fully resolved cardiac tissue models is computationally intensive, but once these solutions are obtained, they yield a radically new understanding of the spatiotemporally chaotic dynamics as a walk through a repertoire of corresponding recurrent patterns. This representation also allows development of nonlinear control of cardiac dynamics using electrical stimulation that may require lower voltages than current defibrillation approaches. Numerical computations will be tightly integrated with experiments involving both cardiac tissue and cell cultures. The experiments will be used both to validate the proposed computational analysis and to test the control approach.Cardiac arrhythmias are a major cause of mortality in the industrialized world, and any reduction in their incidence derived from a deeper understanding of their behavior could have a significant societal impact. By combining state-of-the-art numerical, analytical, and experimental approaches to the study of cardiac tissue, this project aims to initiate a radical paradigm shift: we propose to use direct numerical simulation as a tool to develop a new kind of quantitative template description of the dynamics of cardiac tissue. In this approach, the dynamics of arrhythmias is understood as a set of possible transitions between different cardiac rhythms, leading not only to a deeper dynamical understanding of the initiation and evolution of cardiac arrhythmias, but also to improved strategies for their prevention or termination. Although the focus is on cardiac dynamics, the methods developed will impact other fields dealing with high-dimensional complex systems that exhibit unstable recurrent patterns, such as neural disorders, dynamics of fluids and plasmas, and climate studies.

复杂的时空动力学是许多心律失常疾病的基础。尽管经过数十年的生物医学研究和日益详细的计算模型的发展，诱发和维持这些心律失常的机制仍然难以捉摸。我们寻求通过开发一种激进且迫切需要的范式转变，从计算密集型直接数值模拟到用有限的时空模式来描述心脏动力学，来提高我们对这些机制的基本理解。使用尖端的数值算法，我们将计算心脏动力学详细离子模型的精确稳定和时间周期解的层次结构。这些不稳定的解根据目前隐藏在视野中的有限时空模式来描述心脏动力学。他们对完全解析的心脏组织模型的确定需要大量计算，但一旦获得这些解决方案，他们就会对时空混沌动力学产生全新的理解，因为他们会遍历相应的循环模式。这种表示还允许使用电刺激来开发心脏动力学的非线性控制，这可能需要比当前除颤方法更低的电压。数值计算将与涉及心脏组织和细胞培养的实验紧密结合。这些实验将用于验证所提出的计算分析并测试控制方法。心律失常是工业化世界中死亡的主要原因，通过更深入地了解心律失常的行为而减少其发病率可能会产生重大影响。社会影响。通过结合最先进的数值、分析和实验方法来研究心脏组织，该项目旨在引发彻底的范式转变：我们建议使用直接数值模拟作为工具来开发一种新型定量方法心脏组织动力学的模板描述。在这种方法中，心律失常的动力学被理解为不同心律之间的一组可能的转变，不仅可以更深入地了解心律失常的发生和演变，而且可以改进预防或终止心律失常的策略。尽管重点是心脏动力学，但所开发的方法将影响处理表现出不稳定循环模式的高维复杂系统的其他领域，例如神经疾病、流体和等离子体动力学以及气候研究。