Evidence map›Paper›PMID 23496550›Full record

ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2013

Quantifying interactions between real oscillators with information theory and phase models: application to cardiorespiratory coupling.

Yenan Zhu, Yee-Hsee Hsieh, Rishi R Dhingra, Thomas E Dick, Frank J Jacono, Roberto F Galán

Abstract read
In one paragraph

Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. A practical method for estimating coupling functions in complex dynamical systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2019
    Article
  5. Article
  6. Article
  7. Kölliker-Fuse nuclei regulate respiratory rhythm variability via a gain-control mechanism.American journal of physiology. Regulatory, integrative and comparative physiology · 2017
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Interaction function of oscillating coupled neurons.Physical review. E, Statistical, nonlinear, and soft matter physics · 2013
    Article
  13. Article
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

6 authors at 2 institutions in 1 country.

Yenan ZhuDepartment of Neurosciences, School of Medicine, Case Western Reserve University, Cleveland, Ohio 44106, USA.
Yee-Hsee Hsieh
Rishi R Dhingra
Thomas E Dick
Frank J Jacono
Roberto F Galán
Case Western Reserve University · USLouis Stokes Cleveland VA Medical Center · US

Funding

Multiscale Model of Neural Control of BreathingR01NS069220 · NINDS · DREXEL UNIVERSITY · PI BEN-TAL, ALONA, DICK, THOMAS E · 2010 to 2014
$2.9M
Prognostic & Therapeutic Implications of Breathing Patterns in Acute Lung InjuryI01BX000873 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI JACONO, FRANK JOSEPH · 2012 to 2015
–
BLRD VA I01 BX000873NINDS NIH HHS NS069220NINDS NIH HHS R01 NS069220
6 · The paper itself

Abstract

Interactions between oscillators can be investigated with standard tools of time series analysis. However, these methods are insensitive to the directionality of the coupling, i.e., the asymmetry of the interactions. An elegant alternative was proposed by Rosenblum and collaborators [M. G. Rosenblum, L. Cimponeriu, A. Bezerianos, A. Patzak, and R. Mrowka, Phys. Rev. E 65, 041909 (2002); M. G. Rosenblum and A. S. Pikovsky, Phys. Rev. E 64, 045202 (2001)] which consists in fitting the empirical phases to a generic model of two weakly coupled phase oscillators. This allows one to obtain the interaction functions defining the coupling and its directionality. A limitation of this approach is that a solution always exists in the least-squares sense, even in the absence of coupling. To preclude spurious results, we propose a three-step protocol: (1) Determine if a statistical dependency exists in the data by evaluating the mutual information of the phases; (2) if so, compute the interaction functions of the oscillators; and (3) validate the empirical oscillator model by comparing the joint probability of the phases obtained from simulating the model with that of the empirical phases. We apply this protocol to a model of two coupled Stuart-Landau oscillators and show that it reliably detects genuine coupling. We also apply this protocol to investigate cardiorespiratory coupling in anesthetized rats. We observe reciprocal coupling between respiration and heartbeat and that the influence of respiration on the heartbeat is generally much stronger than vice versa. In addition, we find that the vagus nerve mediates coupling in both directions.

Indexed as

Models, BiologicalAnimalsBiological ClocksComputer SimulationFeedback, PhysiologicalHeart RateRatsRespiratory Rate

Identifiers

PMID23496550
PMCPMC3767161
OpenAlexW2084797167

What OpenQuestion holds

Textmetadata
LicenceTDM
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.