Evidence map›Paper›PMID 28218249›Full record

ArticleScientific reports2017

Complexity Variability Assessment of Nonlinear Time-Varying Cardiovascular Control.

Gaetano Valenza, Luca Citi, Ronald G Garcia, Jessica Noggle Taylor, Nicola Toschi, Riccardo Barbieri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-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

20 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
  2. Article
  3. Sympathetic and parasympathetic central autonomic networks.Imaging neuroscience (Cambridge, Mass.) · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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 5 institutions in 4 countries.

Gaetano ValenzaMassachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Luca CitiSchool of Computer Science and Electronic Engineering, University of Essex, Colchester, UK.
Ronald G GarciaMasira Research Institute, School of Medicine, Universidad de Santander, Bucaramanga, Colombia.
Jessica Noggle TaylorNell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Nicola ToschiMassachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Riccardo BarbieriMassachusetts General Hospital/Harvard Medical School, Boston, MA, USA.
Harvard University · USEmory University · USMassachusetts General Hospital · USUniversity of Essex · GBUniversity of Santander · CO

Funding

Evaluation of yoga as a treatment for insomnia in posttraumatic stress disorderF32AT006092 · NCCIH · BRIGHAM AND WOMEN'S HOSPITAL · PI NOGGLE TAYLOR, JESSICA JOY · 2011 to 2013
$195k
NCCIH NIH HHS F32 AT006092
6 · The paper itself

Abstract

The application of complex systems theory to physiology and medicine has provided meaningful information about the nonlinear aspects underlying the dynamics of a wide range of biological processes and their disease-related aberrations. However, no studies have investigated whether meaningful information can be extracted by quantifying second-order moments of time-varying cardiovascular complexity. To this extent, we introduce a novel mathematical framework termed complexity variability, in which the variance of instantaneous Lyapunov spectra estimated over time serves as a reference quantifier. We apply the proposed methodology to four exemplary studies involving disorders which stem from cardiology, neurology and psychiatry: Congestive Heart Failure (CHF), Major Depression Disorder (MDD), Parkinson's Disease (PD), and Post-Traumatic Stress Disorder (PTSD) patients with insomnia under a yoga training regime. We show that complexity assessments derived from simple time-averaging are not able to discern pathology-related changes in autonomic control, and we demonstrate that between-group differences in measures of complexity variability are consistent across pathologies. Pathological states such as CHF, MDD, and PD are associated with an increased complexity variability when compared to healthy controls, whereas wellbeing derived from yoga in PTSD is associated with lower time-variance of complexity.

Indexed as

AdultCardiovascular SystemCase-Control StudiesElectrocardiographyFemaleHeart FailureHumansMajor Depressive DisorderMaleModels, CardiovascularNonlinear DynamicsParkinson DiseaseStress Disorders, Post-TraumaticYoung Adult

Identifiers

PMID28218249
PMCPMC5316947
OpenAlexW2590023122

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.