ArticleIEEE transactions on bio-medical engineering2009
A tissue framework for simulating the effects of gastric electrical stimulation and in vivo validation.
Article in IEEE transactions on bio-medical engineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Strategies to Refine Gastric Stimulation and Pacing Protocols: Experimental and Modeling Approaches.Frontiers in neuroscience · 2021Review
- Progress in Mathematical Modeling of Gastrointestinal Slow Wave Abnormalities.Frontiers in physiology · 2017Review
- Acute Slow Wave Responses to High-Frequency Gastric Electrical Stimulation in Patients With Gastroparesis Defined by High-Resolution Mapping.Neuromodulation : journal of the International Neuromodulation Society · 2016Article
- A biophysically based finite-state machine model for analyzing gastric experimental entrainment and pacing recordings.Annals of biomedical engineering · 2014Article
- Cellular automaton model for simulating tissue-specific intestinal electrophysiological activity.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2013Article
- A multiscale model of the electrophysiological basis of the human electrogastrogram.Biophysical journal · 2010Article
- Origin, propagation and regional characteristics of porcine gastric slow wave activity determined by high-resolution mapping.Neurogastroenterology and motility · 2010Article
- Tissue-specific mathematical models of slow wave entrainment in wild-type and 5-HT(2B) knockout mice with altered interstitial cells of Cajal networks.Biophysical journal · 2010Article
- Falling-edge, variable threshold (FEVT) method for the automated detection of gastric slow wave events in high-resolution serosal electrode recordings.Annals of biomedical engineering · 2010Article
- High-resolution entrainment mapping of gastric pacing: a new analytical tool.American journal of physiology. Gastrointestinal and liver physiology · 2010Article
- Multiscale modeling of gastrointestinal electrophysiology and experimental validation.Critical reviews in biomedical engineering · 2010Review
- Effects of electrical stimulation on isolated rodent gastric smooth muscle cells evaluated via a joint computational simulation and experimental approach.American journal of physiology. Gastrointestinal and liver physiology · 2009Article
- Gastrointestinal system.Wiley interdisciplinary reviews. Systems biology and medicineReview
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Gastric pacing is used to modulate normal or abnormal gastric slow-wave activity for therapeutic purposes. New protocols are required that are optimized for motility outcomes and energy efficiency. A computational tissue model was developed, incorporating smooth muscle and interstitial cell of Cajal layers, to enable predictive simulations of slow-wave entrainment efficacy under different pacing frequencies. Concurrent experimental validation was performed via high-resolution entrainment mapping in a porcine model (bipolar pacing protocol: 2 mA amplitude; 400 ms pulsewidth; 17-s period; midcorpus). Entrained gastric slow-wave activity was found to be anisotropic (circular direction: 8.51 mm x s(-1); longitudinal: 4.58 mm x s(-1)), and the simulation velocities were specified accordingly. Simulated and experimental slow-wave activities demonstrated satisfactory agreement, showing similar propagation patterns and frequencies (3.5-3.6 cycles per minute), and comparable zones of entrainment (ZOEs; 64 cm(2)). The area of ZOE achieved was found to depend on the phase interactions between the native and entrained activities. This model allows the predictions of phase interactions between native and entrained activities, and will be useful for determining optimal frequencies for gastric pacing, including multichannel pacing studies. The model provides a framework for the development of more sophisticated predictive gastric pacing simulations in future.
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