ArticleAnnals of biomedical engineering2014
A biophysically based finite-state machine model for analyzing gastric experimental entrainment and pacing recordings.
Article in Annals of biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Mechanistic assessment and ablation of left ventricular assist device related ventricular tachycardia in patients with severe heart failure.Frontiers in physiology · 2023Article
- Progress in Mathematical Modeling of Gastrointestinal Slow Wave Abnormalities.Frontiers in physiology · 2017Review
- A Multiscale Tridomain Model for Simulating Bioelectric Gastric Pacing.IEEE transactions on bio-medical engineering · 2015Article
- A Stochastic Algorithm for Generating Realistic Virtual Interstitial Cell of Cajal Networks.IEEE transactions on bio-medical engineering · 2015Article
- Slow wave conduction patterns in the stomach: from Waller's foundations to current challenges.Acta physiologica (Oxford, England) · 2015Review
- Tissue specific simulations of interstitial cells of cajal networks using unstructured meshes.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2015Article
- Developmental changes in postnatal murine intestinal interstitial cell of Cajal network structure and function.Annals of biomedical engineering · 2014Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Gastrointestinal motility is coordinated by slow waves (SWs) generated by the interstitial cells of Cajal (ICC). Experimental studies have shown that SWs spontaneously activate at different intrinsic frequencies in isolated tissue, whereas in intact tissues they are entrained to a single frequency. Gastric pacing has been used in an attempt to improve motility in disorders such as gastroparesis by modulating entrainment, but the optimal methods of pacing are currently unknown. Computational models can aid in the interpretation of complex in vivo recordings and help to determine optimal pacing strategies. However, previous computational models of SW entrainment are limited to the intrinsic pacing frequency as the primary determinant of the conduction velocity, and are not able to accurately represent the effects of external stimuli and electrical anisotropies. In this paper, we present a novel computationally efficient method for modeling SW propagation through the ICC network while accounting for conductivity parameters and fiber orientations. The method successfully reproduced experimental recordings of entrainment following gastric transection and the effects of gastric pacing on SW activity. It provides a reliable new tool for investigating gastric electrophysiology in normal and diseased states, and to guide and focus future experimental studies.
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Registered trials
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.