ArticleScientific reports2019
Standardised Framework for Quantitative Analysis of Fibrillation Dynamics.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Evaluation of novel open-source software for cardiac optical mapping.Journal of molecular and cellular cardiology plus · 2024Article
- Optical mapping and optogenetics in cardiac electrophysiology research and therapy: a state-of-the-art review.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 · 2024Review
- Information theory-based direct causality measure to assess cardiac fibrillation dynamics.Journal of the Royal Society, Interface · 2023Article
- High resolution optical mapping of cardiac electrophysiology in pre-clinical models.Scientific data · 2022Article
- Purkinje network and myocardial substrate at the onset of human ventricular fibrillation: implications for catheter ablation.European heart journal · 2022Article
- Open-source low-cost cardiac optical mapping system.PloS one · 2022Article
- Reconceptualising Atrial Fibrillation Using Renewal Theory: A Novel Approach to the Assessment of Atrial Fibrillation Dynamics.Arrhythmia & electrophysiology review · 2021Review
- Measurement of patient confidence in self-management of atrial fibrillation: Initial validation of the Confidence in Atrial fibriLlation Management (CALM) Scale.Journal of cardiovascular electrophysiology · 2021Article
- Ventricular fibrillation mechanism and global fibrillatory organization are determined by gap junction coupling and fibrosis pattern.Cardiovascular research · 2021Article
- Classification of Fibrillation Organisation Using Electrocardiograms to Guide Mechanism-Directed Treatments.Frontiers in physiology · 2021Article
- A Complete and Low-Cost Cardiac Optical Mapping System in Translational Animal Models.Frontiers in physiology · 2021Article
- Response by Handa et al to Letter Regarding Article, "Granger Causality-Based Analysis for Classification of Fibrillation Mechanisms and Localization of Rotational Drivers".Circulation. Arrhythmia and electrophysiology · 2020Article
- Toward Mechanism-Directed Electrophenotype-Based Treatments for Atrial Fibrillation.Frontiers in physiology · 2020Review
- Standardizing Single-Frame Phase Singularity Identification Algorithms and Parameters in Phase Mapping During Human Atrial Fibrillation.Frontiers in physiology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
The analysis of complex mechanisms underlying ventricular fibrillation (VF) and atrial fibrillation (AF) requires sophisticated tools for studying spatio-temporal action potential (AP) propagation dynamics. However, fibrillation analysis tools are often custom-made or proprietary, and vary between research groups. With no optimal standardised framework for analysis, results from different studies have led to disparate findings. Given the technical gap, here we present a comprehensive framework and set of principles for quantifying properties of wavefront dynamics in phase-processed data recorded during myocardial fibrillation with potentiometric dyes. Phase transformation of the fibrillatory data is particularly useful for identifying self-perpetuating spiral waves or rotational drivers (RDs) rotating around a phase singularity (PS). RDs have been implicated in sustaining fibrillation, and thus accurate localisation and quantification of RDs is crucial for understanding specific fibrillatory mechanisms. In this work, we assess how variation of analysis parameters and thresholds in the tracking of PSs and quantification of RDs could result in different interpretations of the underlying fibrillation mechanism. These techniques have been described and applied to experimental AF and VF data, and AF simulations, and examples are provided from each of these data sets to demonstrate the range of fibrillatory behaviours and adaptability of these tools. The presented methodologies are available as an open source software and offer an off-the-shelf research toolkit for quantifying and analysing fibrillatory mechanisms.
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Registered trials
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.