Exploring the relationship between the speed-resolved perfusion of blood flux and HRV following different thermal stimulations using MSE and MFE analyses.

Guangjun Wang,Hongyan Li,Xiaojing Song,Shuyong Jia,Weibo Zhang,Yih-Kuen Jan

doi:10.1371/journal.pone.0217973

Abstract

Our previous study employed the classic laser Doppler flux (LDF) to explore the complexity of local blood flow signals and their relationship with heart rate variability (HRV). However, microcirculation blood flow is composed of different velocity components. To investigate the complexity of local speed-resolved perfusion and HRV following stimulation with different temperatures in healthy subjects, multiscale entropy (MSE) and multiscale fuzzy entropy (MFE) were used to measure the complexity of local speed-resolved perfusion signals. MSE was also used to evaluate the complexity of HRV. The results indicated that thermal stimulation increased all components of local speed-resolved perfusion and that stimulation with different temperatures resulted in different changes in the complexity area index. However, the same stimulation had no effect on the MSE of HRV. Further research showed that 44°C thermal stimulation resulted in a weak correlation between the composite speed-resolved perfusion and the HRV complexity. The current study provides a new approach for studying the relationship between speed-resolved perfusion signals and cardiac function.

Highlights

There is increasing evidence that microcirculation can be used to evaluate vascular disorders at the systemic level[1, 2], and there is a close relationship between cardiac and vessel functions[3, 4]
In the thermal stimulation group, the stimulation order was randomly generated for each subject, which is detailed in S1 Table
To exclude the influence of circadian rhythm from the analysis results, we compared the heart rates of the subjects before each intervention, and there was no significant difference between the groups (S2 Table)

Summary

Introduction

There is increasing evidence that microcirculation can be used to evaluate vascular disorders at the systemic level[1, 2], and there is a close relationship between cardiac and vessel functions[3, 4]. A multiparameter model based on the Monte Carlo algorithm has provided the possibility of further distinguishing the different velocity components in microcirculation perfusion[5,6,7,8]. This new method may provide further insight into evaluating vascular dysfunction at the systemic level[9, 10]. It has been accepted that circulatory system regulation is a nonlinear process[11] From this perspective, a classic spectrum analysis of laser Doppler flux is unable to describe the dynamic characteristics of blood flux[11].

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Results

Discussion

Conclusion