Evidence map›Paper›PMID 24920109›Full record

ArticleJournal of the Royal Society, Interface2014

Fractional diffusion models of cardiac electrical propagation: role of structural heterogeneity in dispersion of repolarization.

Alfonso Bueno-Orovio, David Kay, Vicente Grau, Blanca Rodriguez, Kevin Burrage

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
14.1field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 211 citations in OpenAlex.

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  6. GEASI: Geodesic-based earliest activation sites identification in cardiac models.International journal for numerical methods in biomedical engineering · 2021
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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

5 authors at 2 institutions in 2 countries.

Alfonso Bueno-OrovioOxford Centre for Collaborative Applied Mathematics, University of Oxford, Oxford OX1 3LB, UK Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK alfonso.bueno@cs.ox.ac.uk.ORCID http://orcid.org/0000-0002-1634-3601
David KayDepartment of Computer Science, University of Oxford, Oxford OX1 3QD, UK.
Vicente GrauDepartment of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK.
Blanca RodriguezDepartment of Computer Science, University of Oxford, Oxford OX1 3QD, UK.
Kevin BurrageDepartment of Computer Science, University of Oxford, Oxford OX1 3QD, UK School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland 4001, Australia.
University of Oxford · GBQueensland University of Technology · AU

Funding

Biotechnology and Biological Sciences Research Council BB/I012117/1British Heart Foundation FS/11/50/29038British Heart Foundation NH/13/1/30238British Heart Foundation PG/13/33/30210Wellcome Trust 100246
6 · The paper itself

Abstract

Impulse propagation in biological tissues is known to be modulated by structural heterogeneity. In cardiac muscle, improved understanding on how this heterogeneity influences electrical spread is key to advancing our interpretation of dispersion of repolarization. We propose fractional diffusion models as a novel mathematical description of structurally heterogeneous excitable media, as a means of representing the modulation of the total electric field by the secondary electrical sources associated with tissue inhomogeneities. Our results, analysed against in vivo human recordings and experimental data of different animal species, indicate that structural heterogeneity underlies relevant characteristics of cardiac electrical propagation at tissue level. These include conduction effects on action potential (AP) morphology, the shortening of AP duration along the activation pathway and the progressive modulation by premature beats of spatial patterns of dispersion of repolarization. The proposed approach may also have important implications in other research fields involving excitable complex media.

Indexed as

Models, CardiovascularAction PotentialsAnimalsBiological ClocksComputer SimulationDiffusionHeart Conduction SystemHumansMembrane PotentialsMyocytes, CardiacNeural Conductioncardiac tissuedispersion of repolarizationelectrotonic effectsfractional diffusionRiesz potentialstructural heterogeneity

Identifiers

PMID24920109
PMCPMC4208367
OpenAlexW2140620666

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.