Quantification of atrial cardiomyopathy disease severity by electroanatomic voltage mapping and cardiac magnetic resonance imaging.

Introduction: Atrial late gadolinium enhancement (Atrial-LGE) and electroanatomic voltage mapping (Atrial-EAVM) quantify the anatomical and functional extent of atrial cardiomyopathy. We aimed to explore the relationships between, and outcomes from, these modalities in patients with atrial fibrillation undergoing ablation.

Methods: Patients undergoing first-time ablation had disease severities quantified using both Atrial-LGE and Atrial-EAVM.

In-silico pace mapping identifies pacing sites more accurately than inverse body surface potential mapping.

Background: Electrocardiographic imaging (ECGi) is a non-invasive technique for ventricular tachycardia (VT) ablation planning. However, it is limited to reconstructing epicardial surface activation. In-silico pace mapping combines a personalized computational model with clinical electrocardiograms (ECGs) to generate a virtual 3D pace map.

Microbial and mineral interactions decouple litter quality from soil organic matter formation.

Current understanding of soil carbon dynamics suggests that plant litter quality and soil mineralogy control the formation of mineral-associated soil organic carbon (SOC). Due to more efficient microbial anabolism, high-quality litter may produce more microbial residues for stabilisation on mineral surfaces. To test these fundamental concepts, we manipulate soil mineralogy using pristine minerals, characterise microbial communities and use stable isotopes to measure decomposition of low- and high-quality litter and mineral stabilisation of litter-C.