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Quantification of Different Regulatory Pathways Contributing to Heartbeat Dynamics during Multiple Stimuli: a Proof of the Concept

机译:多种刺激期间对心跳动力学有所不同的调节途径的定量:概念证明

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The dynamical interplay between brain and heart is mediated by several feedback mechanisms including the central autonomic network and baroreflex loop at a peripheral level, also for a short-term regulation. State of the art focused on the characterization of each regulatory pathway through a single stressor elicitation. However, no studies targeted the actual quantification of different mediating routes leading to the generation of heartbeat dynamics, particularly in case of combined exogenous stimuli. In this study, we propose a new approach based on computational modeling to quantify the contribution of multiple concurrent stimuli in modulating cardiovascular dynamics. In this preliminary attempt, the model estimates the high-frequency power of heartbeat dynamics, and derives disentangling coefficients quantifying the effect of multiple elicitations. Model evaluation is performed on healthy rate variability (HRV) series from fourteen healthy subjects undergoing physical (tilt-table) and mental stressors (aritmetics), as well as their combined administration. Results indicate that, at a group-wise level, in base of concurrent physical and mental elicitations, the physical stressor contributes for the 85% of the resulting heartbeat dynamics. These findings are in agreement with the current knowledge on heartbeat regulatory systems, providing valuable perspectives on the quantification of underlying generative mechanisms of HRV.
机译:大脑和心脏之间的动态相互作用由包括中央自主网络和横周水平的中央自主网络和Baroreflex环路的几种反馈机制介导的,也用于短期调节。本领域的状态专注于通过单一的压力诱导表征每个调节途径。然而,没有研究针对不同调解途径的实际量化,导致心跳动力学的产生,特别是在外源刺激组合的情况下。在这项研究中,我们提出了一种基于计算模型的新方法,以量化多种并发刺激在调节心血管动力学中的贡献。在这种初步尝试中,模型估计心跳动力学的高频力量,并导出了不封入系数量化多个引出的效果。在经历物理(倾斜表)和精神压力源(ARITECS)的14个健康受试者和组合给药中,对健康速率变异(HRV)系列进行模型评估。结果表明,在同日身体和心理乐观的基础上,物理压力源在由此产生的心跳动态的85%的基础上。这些调查结果与目前关于心跳监管系统的知识一致,提供了关于HRV潜在生成机制的量化的有价值的观点。

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