Exploring the Relationship between Blood Flux Signals and HRV following Different Thermal Stimulations using Complexity Analysis

Wang, Guangjun; Jia, Shuyong; Li, Hongyan; Wang, Ze; Zhang, Weibo

doi:10.1038/s41598-018-27374-5

Cited by 12 publications

(21 citation statements)

References 51 publications

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“…It is known that skin sympathetic nerve activity is modulated by respiration and that the firing of cutaneous vasoconstrictor neurones is temporally coupled to both cardiac and respiratory oscillations . Heart rate variability is also known to contribute to complexity of the BF signal and cardiac rhythm is modulated by respiratory oscillation . This coupling of the two HF components offers a possible partial explanation as to why the MLZC increases with scale.…”

Section: Discussionmentioning

confidence: 99%

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

et al. 2019

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Objective To determine whether analysis of microvascular network perfusion using complexity‐based methods can discriminate between groups of individuals at an increased risk of developing CVD. Methods Data were obtained from laser Doppler recordings of skin blood flux at the forearm in 50 participants with non‐alcoholic fatty liver disease grouped for absence (n = 28) or presence (n = 14) of type 2 diabetes and use of calcium channel blocker medication (n = 8). Power spectral density was evaluated and Lempel‐Ziv complexity determined to quantify signal information content at single and multiple time‐scales to account for the different processes modulating network perfusion. Results Complexity was associated with dilatory capacity and respiration and negatively with baseline blood flux and cardiac band power. The relationship between the modulators of flowmotion and complexity of blood flux is shown to change with time‐scale improving discrimination between groups. Multiscale Lempel‐Ziv achieved best classification accuracy of 86.1%. Conclusions Time and frequency domain measures alone are insufficient to discriminate between groups. As cardiovascular disease risk increases, the degree of complexity of the blood flux signal reduces, indicative of a reduced temporal activity and heterogeneous distribution of blood flow within the microvascular network sampled. Complexity‐based methods, particularly multiscale variants, are shown to have good discriminatory capabilities.

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Section: Discussionmentioning

confidence: 99%

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

et al. 2019

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“…In particular, MSE analysis provides a more powerful method for complex measurements[14, 15] of vascular dynamics. MSE has also been used to analyze the LDF time series[16–18]. In short, MSE quantifies the degree of irregularity of a time series on multiple time scales.…”

Section: Introductionmentioning

confidence: 99%

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

Wang

Jia

et al. 2019

PLoS ONE

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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.

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“…A decline in the influence of the more periodic, relatively regular heartbeat should result in an increase in signal complexity. HRV is known to contribute to complexity of the BF signal (Sassi et al, 2015;Wang et al, 2018) and HRV has been shown to be increased in obese individuals in whom there is a relative predominance of sympathetic activity in both the time and frequency domains (Rossi et al, 2015). HRV has also been shown to be increased in individuals with NAFLD (Kumar et al, 2016) independently of conventional cardiovascular risk factors and insulin resistance (Liu et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Dysregulated Neurovascular Control Underlies Declining Microvascular Functionality in People With Non-alcoholic Fatty Liver Disease (NAFLD) at Risk of Liver Fibrosis

et al. 2020

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Background/Aims: Increasing evidence shows that non-alcoholic fatty liver disease (NAFLD) is associated with dysregulation of microvascular perfusion independently of established cardio-metabolic risk factors. We investigated whether hepatic manifestations of NAFLD such as liver fibrosis and liver fat are associated with microvascular hemodynamics through dysregulation of neurovascular control. Methods: Microvascular dilator (post-occlusive reactive hyperemia) and sympathetically mediated constrictor (deep inspiratory breath-hold) responses were measured at the forearm and finger, respectively, using laser Doppler fluximetry. Non-linear complexitybased analysis was used to assess the information content and variability of the resting blood flux (BF) signals, attributable to oscillatory flow-motion activity, and over multiple sampling frequencies. Results: Measurements were made in 189 adults (113 men) with NAFLD, with (n = 65) and without (n = 124) type 2 diabetes mellitus (T2DM), age = 50.9 ± 11.7 years (mean ± SD). Microvascular dilator and constrictor capacity were both negatively associated with age (r = −0.178, p = 0.014, and r = −0.201, p = 0.007, respectively) and enhanced liver fibrosis (ELF) score (r = −0.155, p = 0.038 and r = −0.418, p < 0.0001, respectively). There was no association with measures of liver fat, obesity or T2DM. Lempel-Ziv complexity (LZC) and sample entropy (SE) of the BF signal measured at the two skin sites were associated negatively with age (p < 0.01 and p < 0.001) and positively with ELF score (p < 0.05 and p < 0.0001). In individuals with an ELF score

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Exploring the Relationship between Blood Flux Signals and HRV following Different Thermal Stimulations using Complexity Analysis

Cited by 12 publications

References 51 publications

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

Multi‐domain analysis of microvascular flow motion dynamics in NAFLD

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

Dysregulated Neurovascular Control Underlies Declining Microvascular Functionality in People With Non-alcoholic Fatty Liver Disease (NAFLD) at Risk of Liver Fibrosis

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