The contribution of granger causality analysis to our understanding of cardiovascular homeostasis: from cardiovascular and respiratory interactions to central autonomic network control

Vincent Pichot, Christophe Corbier, F. Chouchou
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Abstract

Homeostatic regulation plays a fundamental role in maintenance of multicellular life. At different scales and in different biological systems, this principle allows a better understanding of biological organization. Consequently, a growing interest in studying cause-effect relations between physiological systems has emerged, such as in the fields of cardiovascular and cardiorespiratory regulations. For this, mathematical approaches such as Granger causality (GC) were applied to the field of cardiovascular physiology in the last 20 years, overcoming the limitations of previous approaches and offering new perspectives in understanding cardiac, vascular and respiratory homeostatic interactions. In clinical practice, continuous recording of clinical data of hospitalized patients or by telemetry has opened new applicability for these approaches with potential early diagnostic and prognostic information. In this review, we describe a theoretical background of approaches based on linear GC in time and frequency domains applied to detect couplings between time series of RR intervals, blood pressure and respiration. Interestingly, these tools help in understanding the contribution of homeostatic negative feedback and the anticipatory feedforward mechanisms in homeostatic cardiovascular and cardiorespiratory controls. We also describe experimental and clinical results based on these mathematical tools, consolidating previous experimental and clinical evidence on the coupling in cardiovascular and cardiorespiratory studies. Finally, we propose perspectives allowing to complete the understanding of these interactions between cardiovascular and cardiorespiratory systems, as well as the interplay between brain and cardiac, and vascular and respiratory systems, offering a high integrative view of cardiovascular and cardiorespiratory homeostatic regulation.
格兰杰因果关系分析对我们理解心血管平衡的贡献:从心血管和呼吸系统的相互作用到中枢自律神经网络控制
平衡调节在维持多细胞生命方面发挥着根本性的作用。在不同尺度和不同生物系统中,这一原理有助于更好地理解生物组织。因此,人们对研究生理系统之间的因果关系越来越感兴趣,例如在心血管和心肺调节领域。为此,格兰杰因果关系(GC)等数学方法在过去 20 年中被应用于心血管生理学领域,克服了以往方法的局限性,为理解心脏、血管和呼吸系统的平衡相互作用提供了新的视角。在临床实践中,通过遥测技术连续记录住院病人的临床数据为这些方法提供了新的适用性,并为早期诊断和预后提供了潜在信息。在这篇综述中,我们介绍了基于时域和频域线性 GC 的方法的理论背景,这些方法适用于检测 RR 间期、血压和呼吸时间序列之间的耦合。有趣的是,这些工具有助于理解在心血管和心肺平衡控制中平衡负反馈和预期前馈机制的贡献。我们还描述了基于这些数学工具的实验和临床结果,巩固了之前在心血管和心肺研究中有关耦合的实验和临床证据。最后,我们提出了一些视角,有助于全面了解心血管和心肺系统之间的相互作用,以及大脑和心脏、血管和呼吸系统之间的相互作用,为心血管和心肺的平衡调节提供了一个高度综合的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.70
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