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Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension

The complex interactions that give rise to heart rate variability (HRV) involve coupled physiological oscillators operating over a wide range of different frequencies and length-scales. Based on the premise that interactions are key to the functioning of complex systems, the time-dependent determini...

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Autores principales: Ticcinelli, Valentina, Stankovski, Tomislav, Iatsenko, Dmytro, Bernjak, Alan, Bradbury, Adam E., Gallagher, Andrew R., Clarkson, Peter B. M., McClintock, Peter V. E., Stefanovska, Aneta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645539/
https://www.ncbi.nlm.nih.gov/pubmed/29081750
http://dx.doi.org/10.3389/fphys.2017.00749
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author Ticcinelli, Valentina
Stankovski, Tomislav
Iatsenko, Dmytro
Bernjak, Alan
Bradbury, Adam E.
Gallagher, Andrew R.
Clarkson, Peter B. M.
McClintock, Peter V. E.
Stefanovska, Aneta
author_facet Ticcinelli, Valentina
Stankovski, Tomislav
Iatsenko, Dmytro
Bernjak, Alan
Bradbury, Adam E.
Gallagher, Andrew R.
Clarkson, Peter B. M.
McClintock, Peter V. E.
Stefanovska, Aneta
author_sort Ticcinelli, Valentina
collection PubMed
description The complex interactions that give rise to heart rate variability (HRV) involve coupled physiological oscillators operating over a wide range of different frequencies and length-scales. Based on the premise that interactions are key to the functioning of complex systems, the time-dependent deterministic coupling parameters underlying cardiac, respiratory and vascular regulation have been investigated at both the central and microvascular levels. Hypertension was considered as an example of a globally altered state of the complex dynamics of the cardiovascular system. Its effects were established through analysis of simultaneous recordings of the electrocardiogram (ECG), respiratory effort, and microvascular blood flow [by laser Doppler flowmetry (LDF)]. The signals were analyzed by methods developed to capture time-dependent dynamics, including the wavelet transform, wavelet-based phase coherence, non-linear mode decomposition, and dynamical Bayesian inference, all of which can encompass the inherent frequency and coupling variability of living systems. Phases of oscillatory modes corresponding to the cardiac (around 1.0 Hz), respiratory (around 0.25 Hz), and vascular myogenic activities (around 0.1 Hz) were extracted and combined into two coupled networks describing the central and peripheral systems, respectively. The corresponding spectral powers and coupling functions were computed. The same measurements and analyses were performed for three groups of subjects: healthy young (Y group, 24.4 ± 3.4 y), healthy aged (A group, 71.1 ± 6.6 y), and aged treated hypertensive patients (ATH group, 70.3 ± 6.7 y). It was established that the degree of coherence between low-frequency oscillations near 0.1 Hz in blood flow and in HRV time series differs markedly between the groups, declining with age and nearly disappearing in treated hypertension. Comparing the two healthy groups it was found that the couplings to the cardiac rhythm from both respiration and vascular myogenic activity decrease significantly in aging. Comparing the data from A and ATH groups it was found that the coupling from the vascular myogenic activity is significantly weaker in treated hypertension subjects, implying that the mechanisms of microcirculation are not completely restored by current anti-hypertension medications.
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spelling pubmed-56455392017-10-27 Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension Ticcinelli, Valentina Stankovski, Tomislav Iatsenko, Dmytro Bernjak, Alan Bradbury, Adam E. Gallagher, Andrew R. Clarkson, Peter B. M. McClintock, Peter V. E. Stefanovska, Aneta Front Physiol Physiology The complex interactions that give rise to heart rate variability (HRV) involve coupled physiological oscillators operating over a wide range of different frequencies and length-scales. Based on the premise that interactions are key to the functioning of complex systems, the time-dependent deterministic coupling parameters underlying cardiac, respiratory and vascular regulation have been investigated at both the central and microvascular levels. Hypertension was considered as an example of a globally altered state of the complex dynamics of the cardiovascular system. Its effects were established through analysis of simultaneous recordings of the electrocardiogram (ECG), respiratory effort, and microvascular blood flow [by laser Doppler flowmetry (LDF)]. The signals were analyzed by methods developed to capture time-dependent dynamics, including the wavelet transform, wavelet-based phase coherence, non-linear mode decomposition, and dynamical Bayesian inference, all of which can encompass the inherent frequency and coupling variability of living systems. Phases of oscillatory modes corresponding to the cardiac (around 1.0 Hz), respiratory (around 0.25 Hz), and vascular myogenic activities (around 0.1 Hz) were extracted and combined into two coupled networks describing the central and peripheral systems, respectively. The corresponding spectral powers and coupling functions were computed. The same measurements and analyses were performed for three groups of subjects: healthy young (Y group, 24.4 ± 3.4 y), healthy aged (A group, 71.1 ± 6.6 y), and aged treated hypertensive patients (ATH group, 70.3 ± 6.7 y). It was established that the degree of coherence between low-frequency oscillations near 0.1 Hz in blood flow and in HRV time series differs markedly between the groups, declining with age and nearly disappearing in treated hypertension. Comparing the two healthy groups it was found that the couplings to the cardiac rhythm from both respiration and vascular myogenic activity decrease significantly in aging. Comparing the data from A and ATH groups it was found that the coupling from the vascular myogenic activity is significantly weaker in treated hypertension subjects, implying that the mechanisms of microcirculation are not completely restored by current anti-hypertension medications. Frontiers Media S.A. 2017-10-13 /pmc/articles/PMC5645539/ /pubmed/29081750 http://dx.doi.org/10.3389/fphys.2017.00749 Text en Copyright © 2017 Ticcinelli, Stankovski, Iatsenko, Bernjak, Bradbury, Gallagher, Clarkson, McClintock and Stefanovska. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Ticcinelli, Valentina
Stankovski, Tomislav
Iatsenko, Dmytro
Bernjak, Alan
Bradbury, Adam E.
Gallagher, Andrew R.
Clarkson, Peter B. M.
McClintock, Peter V. E.
Stefanovska, Aneta
Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title_full Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title_fullStr Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title_full_unstemmed Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title_short Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension
title_sort coherence and coupling functions reveal microvascular impairment in treated hypertension
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5645539/
https://www.ncbi.nlm.nih.gov/pubmed/29081750
http://dx.doi.org/10.3389/fphys.2017.00749
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