Evidence map›Paper›PMID 29739992›Full record

ArticleScientific reports2018

Conduction in the Heart Wall: Helicoidal Fibers Minimize Diffusion Bias.

Tristan Aumentado-Armstrong, Amir Kadivar, Peter Savadjiev, Steven W Zucker, Kaleem Siddiqi

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Tristan Aumentado-ArmstrongSchool of Computer Science and Center for Intelligent Machines, McGill University, Montréal, Canada.
Amir KadivarSchool of Computer Science and Center for Intelligent Machines, McGill University, Montréal, Canada.ORCID 0000-0002-2469-2633
Peter SavadjievSchool of Computer Science and Center for Intelligent Machines, McGill University, Montréal, Canada.
Steven W ZuckerDepartment of Computer Science and Department of Biomedical Engineering, Yale University, New Haven, USA.
Kaleem SiddiqiSchool of Computer Science and Center for Intelligent Machines, McGill University, Montréal, Canada. siddiqi@cim.mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mammalian heart must function as an efficient pump while simultaneously conducting electrical signals to drive the contraction process. In the ventricles, electrical activation begins at the insertion points of the Purkinje network in the endocardium. How does the diffusion component of the subsequent excitation wave propagate from the endocardium in a healthy heart wall without creating directional biases? We show that this is a consequence of the particular geometric organization of myocytes in the heart wall. Using a generalized helicoid to model fiber orientation, we treat the myocardium as a curved space via Riemannian geometry, and then use stochastic calculus to model local signal diffusion. Our analysis shows that the helicoidal arrangement of myocytes minimizes the directional biases that could lead to aberrant propagation, thereby explaining how electrophysiological principles are consistent with local measurements of cardiac fiber geometry. We discuss our results in the context of the need to balance electrical and mechanical requirements for heart function.

Indexed as

AnimalsDiffusion Magnetic Resonance ImagingEndocardiumHeartHeart Conduction SystemHeart RateHeart VentriclesHumansMyocytes, CardiacRatsVentricular Function

Identifiers

PMID29739992
PMCPMC5940931

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.