Abstract
The sinoatrial node (SAN) is the natural pacemaker of our heart. How this small tissue is able to drive a remarkably larger number of intrinsically quiescent atrial cells is still debated; a computational investigation of the underlying mechanisms can help to better understand the SAN's ability to pace-and-drive the surrounding atrium. Aim of this work is to elucidate how the human SAN action potential can successfully be captured by and propagate into the surrounding atrial tissue. The Fabbri et al. and the Courtemanche et al. models were used to describe the human SAN and atrial cells, respectively. The behaviour of two coupled regions was investigated varying the interregional conductivity (a) and relative size. Simulations showed that it requires at least an isopotential SAN region 2.85 times wider than the atrial one. A 1D strand of homogeneously coupled SAN and atrial elements was used to identify an interval for σ showing pace-and-drive behaviour (100 SAN vs 100 atrial elements) and to investigate the source-sink interplay (10, 50 or 100 SAN elements vs 100 atrial elements). The 1D strand showed pace-and-drive behaviour for σ = [0.08-36] S/m; a stronger source, with a higher number of SAN elements, led to a wider σ range that allowed pace-and-drive behaviour, whereas a stronger sink did not affect the behaviour of the tissue. This preliminary work shows the ability of a small human SAN region to pace-and-drive the surrounding atrial tissue. Further investigations are needed to explore different conductivity configurations, including spatial gradients.
Original language | English |
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Pages | 1-4 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2017 |
Event | 44th Computing in Cardiology Conference, CinC 2017 - Rennes, France Duration: 24 Sept 2017 → 27 Sept 2017 |
Conference
Conference | 44th Computing in Cardiology Conference, CinC 2017 |
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Country/Territory | France |
City | Rennes |
Period | 24/09/2017 → 27/09/2017 |