Confocal microscopy-based estimation of intracellular conductivities in myocardium for modeling of the normal and infarcted heart.

Confocal microscopy-based estimation of intracellular conductivities in myocardium for modeling of the normal and infarcted heart.
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基于共聚焦显微镜对心肌细胞内电导率的估计用于正常和梗死心脏的建模

DOI:
10.1016/j.compbiomed.2022.105579
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发表时间:
2022-07
影响因子:
7.7
通讯作者:
--
中科院分区:
工程技术2区
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--
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室性心律失常是缺血性心脏病(如心肌梗死)患者死亡的主要原因。心脏电生理的计算机模拟为这些心律失常及其治疗提供了见解。然而,对于关键的模型参数,例如各向异性的细胞内电导率,只有少量信息可用。在此,我们引入了一种方法来估计正常心脏和心肌梗死心脏中的这些电导率。我们对兔心肌梗死模型左心室组织的共聚焦显微镜图像进行处理和分析,以生成三维重建图像。我们得出了组织特征,包括心肌细胞的体积分数、含缝隙连接的体素以及纤维化。我们生成了细胞内空间和细胞间耦合的模型。应用数值方法求解稳态电流的泊松方程,我们计算了正常、纵向和横向的细胞内电导率。通过线性回归分析,我们评估了电导率与组织特征的关系。与对照组相比,心肌梗死组的纵向和横向电导率降低,但正常电导率升高。心肌梗死组的纵向和横向电导率均低于对照组。对照组和心肌梗死组之间正常电导率的差异不显著。我们发现纵向电导率与心肌细胞体积分数和含缝隙连接的体素呈强正相关,与纤维化呈强负相关。横向电导率与这些组织特征的关系相似,但不太明显。我们的研究为正常心脏和心肌梗死心脏中的细胞内电导率提供了定量的见解。我们认为我们的研究为估计具有各种病理的心肌细胞内电导率建立了一个框架。
Ventricular arrhythmias are the leading cause of mortality in patients with ischemic heart diseases, such as myocardial infarction (MI). Computational simulation of cardiac electrophysiology provides insights into these arrhythmias and their treatment. However, only sparse information is available on crucial model parameters, for instance, the anisotropic intracellular electrical conductivities. Here, we introduced an approach to estimate these conductivities in normal and MI hearts. We processed and analyzed images from confocal microscopy of left ventricular tissue of a rabbit MI model to generate 3D reconstructions. We derived tissue features including the volume fraction of myocytes , gap junctions-containing voxels , and fibrosis . We generated models of the intracellular space and intercellular coupling. Applying numerical methods for solving Poisson’s equation for stationary electrical currents, we calculated normal , longitudinal , and transverse intracellular conductivities. Using linear regression analysis, we assessed relationships of conductivities to tissue features. and were reduced in MI vs. control, but was increased. Both and were lower in MI than in control. Differences of between control and MI were not significant. We found strong positive relationships of with and , and a strong negative relationship with . The relationships of with these tissue features were similar but less pronounced. Our study provides quantitative insights into the intracellular conductivities in the normal and MI heart. We suggest that our study establishes a framework for the estimation of intracellular electrical conductivities of myocardium with various pathologies.
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