Evidence map›Paper›PMID 29390625›Full record

ArticleChaos (Woodbury, N.Y.)2018

Causality analysis of leading singular value decomposition modes identifies rotor as the dominant driving normal mode in fibrillation.

Yaacov Biton, Avinoam Rabinovitch, Doron Braunstein, Ira Aviram, Katherine Campbell, Sergey Mironov, Todd Herron, José Jalife, Omer Berenfeld

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Yaacov BitonPhysics Department, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Avinoam RabinovitchPhysics Department, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Doron BraunsteinPhysics Department, Sami Shamoon College of Engineering, Beer-Sheva 84100, Israel.
Ira AviramPhysics Department, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Katherine CampbellCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan 48109, USA.
Sergey MironovCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan 48109, USA.
Todd HerronCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan 48109, USA.
José JalifeCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan 48109, USA.
Omer BerenfeldCenter for Arrhythmia Research, University of Michigan, Ann Arbor, Michigan 48109, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac fibrillation is a major clinical and societal burden. Rotors may drive fibrillation in many cases, but their role and patterns are often masked by complex propagation. We used Singular Value Decomposition (SVD), which ranks patterns of activation hierarchically, together with Wiener-Granger causality analysis (WGCA), which analyses direction of information among observations, to investigate the role of rotors in cardiac fibrillation. We hypothesized that combining SVD analysis with WGCA should reveal whether rotor activity is the dominant driving force of fibrillation even in cases of high complexity. Optical mapping experiments were conducted in neonatal rat cardiomyocyte monolayers (diameter, 35 mm), which were genetically modified to overexpress the delayed rectifier K

Indexed as

AlgorithmsCausalityAnimalsAtrial FibrillationMyocytes, CardiacRatsTime Factors

Identifiers

PMID29390625
PMCPMC5786449

What OpenQuestion holds

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Registered trials

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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.