- Position: Associate Professor in Cardiovascular Science
- Areas of expertise: computational modelling; cardiac arrhythmias; exercise intolerance.
- Email: A.P.Benson@leeds.ac.uk
Al Benson is part of the MCRC, read more about his work on his faculty profile.
Computational modelling of cardiovascular physiology
I run the Leeds Computational Physiology Laboratory along with Dr Michael Colman, within the Cardiovascular and Exercise Sciences group in the Faculty of Biological Sciences. My research interests are in the use of computational models to study cardiovascular physiology in health and disease. Computational models allow us to examine the intricately integrated (and therefore non-intuitive) relationships that exist between the different components of complex physiological systems. A particular focus of my research has been the study of cardiac arrhythmias and exercise intolerance in heart failure.
Cardiac arrhythmias: Cardiac arrhythmias are a major cause of mortality and morbidity. Ventricular fibrillation is an often fatal arrhythmia in which the heart’s normal rhythm is disturbed when multiple electrical wavefronts continually re-excite the same tissue (re-entry); synchronous contraction of the ventricles is lost, circulation of the blood ceases and death occurs. Using magnetic resonance imaging, optical mapping and other experimental data, we develop biophysically-detailed computational models of the heart at the sub-cellular, cellular, tissue and organ levels. We use these models to examine the roles that structural (anatomical) and functional (electrophysiological and mechanical) changes seen with ageing, diseases and with certain drugs have on the initiation, maintenance and termination of cardiac arrhythmias such as ventricular fibrillation.
Exercise intolerance: The ability to initiate and sustain exercise is a key determinant of health, quality of life, and mortality. Exercise intolerance contributes to a downward spiral of inactivity, which is an “actual cause” of chronic disease, and is a hallmark of heart failure. However, the mechanisms underlying exercise intolerance remain poorly understood. We use experimental data – obtained using cardiopulmonary exercise testing, near-infrared spectroscopy, magnetic resonance spectroscopy and other techniques – to develop novel computational models describing how the pulmonary, circulatory and muscular systems integrate to effectively transport and utilise oxygen during exercise. These models help us understand how systems dynamics produce the rapid oxygen uptake (VO2) kinetics that are a major determinant of exercise tolerance, and thereby contribute to improving exercise performance, health, quality of life, and longevity.
- BSc (Hons) Sports Science
- PhD Computational Biology
Research groups and institutes
- Multidisciplinary Cardiovascular Research Centre