Key result
Advances in experimental and computational techniques are enabling the development of predictive multi-scale models to explore brain-gut axis pathologies and generate neuromodulation treatment targets.
Why the study?
Computational models of gastric motility have historically relied on simplifying assumptions regarding electrophysiology and motility, but recent neuroscience advances now allow detailed autonomic regulation to be incorporated.
This review outlines the progress and future directions for incorporating autonomic regulation into computational models of gastric motility to better understand brain-gut axis diseases.
May inform gastric motility model development; leaves open clinical translation for brain-gut axis diseases.
The stomach is extensively innervated by the vagus nerve and the enteric nervous system. The mechanisms through which this innervation affects gastric motility are being unraveled, motivating the first concerted steps towards the incorporation autonomic regulation into computational models of gastric motility. Computational modeling has been valuable in advancing clinical treatment of other organs, such as the heart. However, to date, computational models of gastric motility have made simplifying assumptions about the link between gastric electrophysiology and motility. Advances in experimental neuroscience mean that these assumptions can be reviewed, and detailed models of autonomic regulation can be incorporated into computational models. This review covers these advances, as well as a vision for the utility of computational models of gastric motility. Diseases of the nervous system, such as Parkinson's disease, can originate from the brain-gut axis and result in pathological gastric motility. Computational models are a valuable tool for understanding the mechanisms of disease and how treatment may affect gastric motility. This review also covers recent advances in experimental neuroscience that are fundamental to the development of physiology-driven computational models. A vision for the future of computational modeling of gastric motility is proposed and modeling approaches employed for existing mathematical models of autonomic regulation of other gastrointestinal organs and other organ systems are discussed.
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Athavale et al. (2023) conducted a review in Gastric motility. Computational models was evaluated. Advances in experimental and computational techniques are enabling the development of predictive multi-scale models to explore brain-gut axis pathologies and generate neuromodulation treatment targets.
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