Evidence map›Paper›PMID 25362167›Full record

ArticleEuropace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology2014

Structural contributions to fibrillatory rotors in a patient-derived computational model of the atria.

Matthew J Gonzales, Kevin P Vincent, Wouter-Jan Rappel, Sanjiv M Narayan, Andrew D McCulloch

Open access · bronzeAbstract read
In one paragraph

Article in Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 66 citations in OpenAlex.

  1. Impact of effective refractory period personalization on arrhythmia vulnerability in patient-specific atrial computer models.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
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  7. Forward-Solution Noninvasive Computational Arrhythmia Mapping: The VMAP Study.Circulation. Arrhythmia and electrophysiology · 2022
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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 3 institutions in 1 country.

Matthew J GonzalesDepartment of Bioengineering, University of California San Diego, Mail Code 0412, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA.
Kevin P VincentDepartment of Bioengineering, University of California San Diego, Mail Code 0412, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA.
Wouter-Jan RappelDepartment of Physics, University of California San Diego, La Jolla, CA, USA Center for Theoretical Biological Physics, University of California San Diego, La Jolla, CA, USA.
Sanjiv M NarayanDepartment of Medicine, University of California San Diego, La Jolla, CA, USA Cardiac Biomedical Science and Engineering Center, University of California San Diego, CA, USA VA San Diego Healthcare System, San Diego, CA, USA.
Andrew D McCullochDepartment of Bioengineering, University of California San Diego, Mail Code 0412, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA Department of Medicine, University of California San Diego, La Jolla, CA, USA Cardiac Biomedical Science and Engineering Center, University of California San Diego, CA, USA amcculloch@ucsd.edu.
University of California, San Diego · USCenter for Theoretical Biological Physics · USVA San Diego Healthcare System · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007198 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHI, NEIL C, INSEL, PAUL A · 1985 to 2024
$29.3M
National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
The Dynamics of Human Atrial FibrillationR01HL083359 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sanjiv M Narayan · 2008 to 2026
$7.9M
Training in Multi-Scale Analysis of Biological Structure and FunctionT32EB009380 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrew D. McCulloch, Padmini Rangamani · 2009 to 2026
$4.8M
Integrative Bioengineering of Heart, Vessels, and BloodT32HL105373 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHIEN, SHU, INTAGLIETTA, MARCOS · 2010 to 2019
$3.6M
Multi-scale Systems Model of Murine Heart FailureR01HL105242 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BERS, DONALD M, MCCULLOCH, ANDREW D. · 2012 to 2016
$3.5M
The Maintenance of Human Atrial FibrillationK24HL103800 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI NARAYAN, SANJIV M · 2010 to 2019
$1.9M
Multi-Scale Modeling of the Failing Heart for Cardiac Rysynchronization TherapyR01HL096544 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D. · 2009 to 2013
$1.8M
Modeling Cytosolic and Nuclear Ca2+ and IP3 Signaling in Ventricular MyocytesR03EB014593 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D. · 2013 to 2014
$153k
NHLBI NIH HHS 1R01HL105242NHLBI NIH HHS 1R01HL96544NHLBI NIH HHS HL083359NHLBI NIH HHS HL103800NHLBI NIH HHS K24 HL103800NHLBI NIH HHS R01 HL083359NHLBI NIH HHS R01 HL096544NHLBI NIH HHS R01 HL105242NHLBI NIH HHS T32 HL105373NIBIB NIH HHS R03 EB014593NIBIB NIH HHS T32 EB009380NIGMS NIH HHS 8P41 GM103226NIGMS NIH HHS P41 GM103426NIGMS NIH HHS P50 GM0945503NIGMS NIH HHS T32 GM007198
6 · The paper itself

Abstract

aimsThe aim of this study was to investigate structural contributions to the maintenance of rotors in human atrial fibrillation (AF) and possible mechanisms of termination. METHODS AND

resultsA three-dimensional human biatrial finite element model based on patient-derived computed tomography and arrhythmia observed at electrophysiology study was used to study AF. With normal physiological electrical conductivity and effective refractory periods (ERPs), wave break failed to sustain reentrant activity or electrical rotors. With depressed excitability, decreased conduction anisotropy, and shorter ERP characteristic of AF, reentrant rotors were readily maintained. Rotors were transiently or permanently trapped by fibre discontinuities on the lateral wall of the right atrium near the tricuspid valve orifice and adjacent to the crista terminalis, both known sites of right atrial arrhythmias. Modelling inexcitable regions near the rotor tip to simulate fibrosis anchored the rotors, converting the arrhythmia to macro-reentry. Accordingly, increasing the spatial core of inexcitable tissue decreased the frequency of rotation, widened the excitable gap, and enabled an external wave to impinge on the rotor core and displace the source.

conclusionThese model findings highlight the importance of structural features in rotor dynamics and suggest that regions of fibrosis may anchor fibrillatory rotors. Increasing extent of fibrosis and scar may eventually convert fibrillation to excitable gap reentry. Such macro-reentry can then be eliminated by extending the obstacle or by external stimuli that penetrate the excitable gap.

Indexed as

Atrial Function, RightComputer SimulationModels, CardiovascularAction PotentialsAtrial FibrillationElectrophysiologic Techniques, CardiacFibrosisFinite Element AnalysisHeart AtriaHumansMalePredictive Value of TestsRefractory Period, ElectrophysiologicalTime FactorsTomography, X-Ray ComputedAtrial fibrillationComputational modellingFIRMFocal impulse and rotor mappingPhase mappingRotors

Identifiers

PMID25362167
PMCPMC4565557
OpenAlexW2093847362

What OpenQuestion holds

Textmetadata
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.