Evidence map›Paper›PMID 29081750›Full record

ArticleFrontiers in physiology2017

Coherence and Coupling Functions Reveal Microvascular Impairment in Treated Hypertension.

Valentina Ticcinelli, Tomislav Stankovski, Dmytro Iatsenko, Alan Bernjak, Adam E Bradbury, Andrew R Gallagher, Peter B M Clarkson, Peter V E McClintock, Aneta Stefanovska

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 69 citations in OpenAlex.

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  16. Coupling functions: dynamical interaction mechanisms in the physical, biological and social sciences.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  17. Dynamical disentanglement in an analysis of oscillatory systems: an application to respiratory sinus arrhythmia.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  18. Synchronization transitions caused by time-varying coupling functions.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Valentina TiccinelliPhysics Department, Lancaster University, Lancaster, United Kingdom.
Tomislav StankovskiPhysics Department, Lancaster University, Lancaster, United Kingdom.
Dmytro IatsenkoPhysics Department, Lancaster University, Lancaster, United Kingdom.
Alan BernjakPhysics Department, Lancaster University, Lancaster, United Kingdom.
Adam E BradburyPhysics Department, Lancaster University, Lancaster, United Kingdom.
Andrew R GallagherLancaster Medical Practice, Lancaster, United Kingdom.
Peter B M ClarksonDepartment of Cardiology, Raigmore Hospital, Inverness, United Kingdom.
Peter V E McClintockPhysics Department, Lancaster University, Lancaster, United Kingdom.
Aneta StefanovskaPhysics Department, Lancaster University, Lancaster, United Kingdom.
Lancaster University · GBLancaster City Council · GBRaigmore Hospital · GBSaints Cyril and Methodius University of Skopje · MK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

agingcardiovascular regulationcoherence analysiscoupling functionsheart rate variabilityhypertensionmicrovascular blood flow oscillationsnon-linear oscillator

Identifiers

PMID29081750
PMCPMC5645539
OpenAlexW2764255236

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.