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Ng, F. S.

Publications and source records attributed to Ng, F. S..

3 recordsLinked to original sources

Going around phase defects: reliable phase mapping for realistic data

Phase mapping is a widespread method for identifying rotational electrical activity sustaining cardiac arrhythmias. However, conventional implementations assume that the cardiac phase map is continuous, leading to ill-defined phase indices in regions affected by functional conduction block, fibrosis, or anatomical boundaries. These regions of discontinuous or undefined phase, termed phase defects, lead to both false positive and false negative detections of rotational drivers. This work introduces an improved phase mapping implementation termed extended phase mapping that explicitly detects and accounts for phase defects, enabling robust calculation of the phase index around them. Extended phase mapping is applied to (1) simulated excitation patterns using the Fenton-Karma model, (2) experimental optical mapping data of rat ventricular fibrillation, and (3) a clinical CARTO activation map of atrial tachycardia. Across all datasets, the extended approach eliminates erroneous detections and resolves previously missed rotations. Our results demonstrate that proper treatment of phase defects yields a unified and physiologically consistent characterization of all rotational drivers including near-complete and anatomical reentries. Therefore, we propose replacing the classical notion of phase singularities with critical phase defects as the fundamental entities governing rotational dynamics in cardiac tissue. Author summaryDetecting rotating electrical activity in the heart is crucial for understanding and treating abnormal heart rhythms. A common method, phase mapping, assigns a timing phase to each region of the heart to identify these rotations. However, in regions affected by scars, blocked conduction, or anatomical boundaries, the phase can become undefined or discontinuous. These so-called phase defects make current methods unreliable, causing false detections or missed rotations. In this study, we introduce an extended method that explicitly identifies phase defects and calculates phase indices around them. We test this approach using computer simulations, experimental recordings from animal hearts, and clinical heart-mapping data. Across all datasets, it eliminates false detections and reveals previously overlooked rotational activity. By properly accounting for phase defects, the extended phase mapping method provides a more reliable and complete characterization of heart rhythms, offering a physiologically meaningful framework for studying electrical dynamics in cardiac tissue.

biophysics↗

Identifying locations susceptible to micro-anatomical reentry using a spatial network representation of atrial fibre maps

Micro-anatomical reentry has been identified as a potential driver of atrial fibrillation (AF). In this paper, we introduce a novel computational method which aims to identify which atrial regions are most susceptible to micro-reentry. The approach, which considers the structural basis for micro-reentry only, is based on the premise that the accumulation of electrically insulating interstitial fibrosis can be modelled by simulating percolation-like phenomena on spatial networks. Our results suggest that at high coupling, where micro-reentry is rare, the micro-reentrant substrate is highly clustered in areas where the atrial walls are thin and have convex wall morphology. However, as transverse connections between fibres are removed, mimicking the accumulation of interstitial fibrosis, the substrate becomes less spatially clustered, and the bias to forming in thin, convex regions of the atria is reduced. Comparing our algorithm on image-based models with and without atrial fibre structure, we find that strong longitudinal fibre coupling can suppress the micro-reentrant substrate, whereas regions with disordered fibre orientations have an enhanced risk of micro-reentry. We suggest that with further development, these methods may have future potential for patient-specific risk stratification, taking a longitudinal view of the development of the micro-reentrant substrate. Author summaryAtrial fibrillation (AF) is the most common abnormal heart rhythm, yet, despite extensive research, treatment success rates remain poor. In part, this is because there is an incomplete understanding of the mechanistic origin of AF. In this paper, we investigate one proposed mechanism of AF, the formation of "micro-reentrant circuits", which can be thought of as a "short circuit", forming when electrically insulating fibrosis (structural repair tissue) infiltrates the space between heart muscle cells. Previously, such circuits have been found in experimental hearts, but identifying these circuits clinically is difficult. Here, we aim to take a small step towards developing computational methods for identifying where in the atria these circuits are most likely to form, drawing on techniques from network science. Our approach indicates that a number of factors are key to determining where circuits form, most notably the thickness of the heart muscle, and the alignment of muscle fibres.

physiology↗

Myocardial damage induced by a single high dose of isoproterenol in C57Bl/6J mice triggers a persistent adaptive immune response against the heart.

Heart failure is the common final pathway of a range of conditions resulting in myocardial damage and a major cause of morbidity and mortality worldwide. Strategies to improve tissue repair and prevent heart failure thus remain an urgent clinical need. Recent studies have documented activation of the adaptive immune system in response to myocardial damage and have implicated anti-heart autoimmunity in the development of heart failure. In an attempt to target anti-heart autoimmune responses as new therapeutic avenue, the number of experimental studies using in vivo models of myocardial damage to study the ensuing immune response has surged. The beta-adrenergic agonist isoproterenol-hydrochloride has been used for its cardiac effects in a variety of different dosing and administration regimes. Most prominently, low doses (<10mg/kg sc) over an extended time period induce cardiac hypertrophy and fibrosis. In addition, single injections of high doses (>100mg/kg) induce cardiomyocyte necrosis and have been used to mimic acute myocardial necrotic lesions as seen in myocardial infarction (MI). However, despite significant resource and animal welfare advantages, concerns about off-target effects and clinical relevance have so far limited uptake in the cardiovascular research community. To assess suitability of the isoproterenol model for the analysis of chronic post-MI immunological readouts, we treated C57BL/6J mice with a single intra-peritoneal bolus injection of 160mg/kg isoproterenol. Our results confirm the presence of necrotic lesions in the myocardium with significant resemblance of the histopathology of Type 2 MI. Kidneys develop mild fibrosis secondary to early cardiac damage, while other organs remain unaffected. Most importantly, we showed that isoproterenol treatment causes myocardial inflammation and fibrosis, activation of T cells in the heart-draining mediastinal lymph nodes, deposition of mature antibodies in the myocardium and the presence of auto-antibodies against the heart in the serum 12 weeks after the initial injury. In summary, this simple and cost-effective experimental model with significant animal welfare benefits induces myocardial damage reminiscent of human Type 2 MI, which is followed by a persistent adaptive immune response against the heart. This makes it a suitable and high-throughput model to study pathological mechanisms of anti-heart autoimmunity as well as to test potential immunomodulatory therapeutic approaches.

immunology↗