Connolly Adam, Vigmond Edward, Bishop Martin
Division of Imaging Sciences and Biomedical Engineering, King's College London, St. Thomas' Hospital, London, United Kingdom.
IHU Liryc, Electrophysiology and Heart Modeling Instituté, fondation Bordeaux Université, F-33600 Pessac-Bordeaux, France.
PLoS One. 2017 Mar 2;12(3):e0173324. doi: 10.1371/journal.pone.0173324. eCollection 2017.
Virtual electrodes from structural/conductivity heterogeneities are known to elicit wavefront propagation, upon field-stimulation, and are thought to be important for defibrillation. In this work we investigate how the constitutive and geometrical parameters associated with such anatomical heterogeneities, represented by endo/epicardial surfaces and intramural surfaces in the form of blood-vessels, affect the virtual electrode patterns produced.
The steady-state bidomain model is used to obtain, using analytical and numerical methods, the virtual electrode patterns created around idealized endocardial trabeculations and blood-vessels. The virtual electrode pattern around blood-vessels is shown to be composed of two dominant effects; current traversing the vessel surface and conductivity heterogeneity from the fibre-architecture. The relative magnitudes of these two effects explain the swapping of the virtual electrode polarity observed, as a function of the vessel radius, and aid in the understanding of the virtual electrode patterns predicted by numerical bidomain modelling. The relatively high conductivity of blood, compared to myocardium, is shown to cause stronger depolarizations in the endocardial trabeculae grooves than the protrusions.
The results provide additional quantitative understanding of the virtual electrodes produced by small-scale ventricular anatomy, and highlight the importance of faithfully representing the physiology and the physics in the context of computational modelling of field stimulation.
已知结构/电导率异质性产生的虚拟电极在电场刺激时会引发波前传播,并且被认为对除颤很重要。在本研究中,我们探究了与这种解剖学异质性相关的本构和几何参数如何影响所产生的虚拟电极模式,这种异质性由心内膜/心外膜表面以及血管形式的壁内表面表示。
使用稳态双域模型,通过解析和数值方法获得理想化的心内膜小梁和血管周围产生的虚拟电极模式。血管周围的虚拟电极模式显示由两种主要效应组成;电流穿过血管表面以及纤维结构导致的电导率异质性。这两种效应的相对大小解释了观察到的虚拟电极极性随血管半径的变化,并有助于理解数值双域模型预测的虚拟电极模式。与心肌相比,血液相对较高的电导率显示出在心内膜小梁沟中比在突出部分引起更强的去极化。
这些结果为小规模心室解剖结构产生的虚拟电极提供了更多定量理解,并强调了在电场刺激计算建模背景下忠实地表示生理学和物理学的重要性。