ArticleNPJ systems biology and applications2023
Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM).
Article in NPJ systems biology and applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 21 citations in OpenAlex.
- Determining properties of human-induced pluripotent stem cell-derived cardiomyocytes using spatially resolved electromechanical metrics.The Journal of physiology · 2026Article
- Wave propagation enhances extracellular signal strength in small excitable tissues.Scientific reports · 2026Article
- Sometimes extracellular recordings fail for good reasons.NPJ systems biology and applications · 2026Article
- Models of cardiomyocyte-non-myocyte electrical interactions.The Journal of physiology · 2026Review
- Multiscale stochastic modeling for calcium dynamics in cardiac electrophysiology: assessing whole-cell model reliability under phosphorylation and LCC downregulation.Frontiers in network physiology · 2026Article
- Reduced gap junction coupling amplifies the effects of cardiomyocyte variability and destabilizes the heartbeat.Physiological reports · 2025Article
- Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations.PLoS computational biology · 2025Article
- Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings.Nature communications · 2025Article
- Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue.Scientific reports · 2024Article
- A possible path to persistent re-entry waves at the outlet of the left pulmonary vein.NPJ systems biology and applications · 2024Article
- The simplified Kirchhoff network model (SKNM): a cell-based reaction-diffusion model of excitable tissue.Scientific reports · 2023Article
- Efficient, cell-based simulations of cardiac electrophysiology; The Kirchhoff Network Model (KNM).NPJ systems biology and applications · 2023Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mathematical models based on homogenized representation of cardiac tissue have greatly improved our understanding of cardiac electrophysiology. However, these models are too coarse to investigate the dynamics at the level of the myocytes since the cells are not present in homogenized models. Recently, fine scale models have been proposed to allow for cell-level resolution of the dynamics, but these models are too computationally expensive to be used in applications like whole heart simulations of large animals. To address this issue, we propose a model that balances computational demands and physiological accuracy. The model is founded on Kirchhoff's current law, and represents every myocyte in the tissue. This allows specific properties to be assigned to individual cardiomyocytes, and other cell types like fibroblasts can be added to the model in an accurate manner while keeping the computing efforts reasonable.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.