A Computational Model of Biophysical Properties of the Rat Stomach Informed by Comprehensive Analysis of Muscle Anatomy

Avci, Recep; Wickens, Joseph D.; Sangi, Mehrdad; Athavale, Omkar N.; Natale, Madeleine R Di; Furness, John B.; Du, Peng; Cheng, Leo K.

doi:10.1109/embc48229.2022.9871314

Cited by 3 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their work showed that the stomach wall was spatially heterogeneous and mechanical properties were anisotropic. Reconciliation of this data with anatomical map of muscle thickness and fibre orientation ( Avci et al, 2022 ; Di Natale et al, 2022 ), will progress work on biomechanical modeling of the stomach through finite element approaches.…”

Section: Mathematical Modelsmentioning

confidence: 99%

Computational models of autonomic regulation in gastric motility: Progress, challenges, and future directions

Athavale

Avci²,

Cheng³

et al. 2023

Front. Neurosci.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Mathematical Modelsmentioning

confidence: 99%

Computational models of autonomic regulation in gastric motility: Progress, challenges, and future directions

Athavale

Avci²,

Cheng³

et al. 2023

Front. Neurosci.

Self Cite

View full text Add to dashboard Cite

show abstract

“…From recent studies [1], [29], structural information about the gastric musculature in rat has been collected [1] and registered to the same scaffold [29], onto which we mapped the motility. Such co-registered structural (musculature) and functional (motility) features allowed us to evaluate their relationship.…”

Section: E Characterization Of the Structure-function Relationshipmentioning

confidence: 99%

“…The resulting surfaces describe the state-dependent anatomy and time-varying movement of the stomach with a surface coordinate system common for all animals and conditions. We developed this approach with MRI data from 10 healthy rats and tested its utility in uncovering the spatial, temporal, and spectral characteristics of gastric motor events and linking the resulting functional characteristics to the muscle thickness [1] co-registered on the same scaffold [29]. In the subsequent subsections, we first describe the intuition and theory that motivates our method, demonstrate its efficacy using simplified 2-D examples, then apply it to experimental data, characterize the gastric anatomy and motility in individual and group levels, and lastly demonstrate its potential in addressing the structure-function relationship by correlating the motility characteristics to the muscle thickness.…”

Section: Introductionmentioning

confidence: 99%

Surface-based Characterization of Gastric Anatomy and Motility using Magnetic Resonance Imaging and Neural Ordinary Differential Equation

Wang

Cao

Han

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

Gastrointestinal magnetic resonance imaging (MRI) provides rich spatiotemporal data about the volume and movement of the food inside the stomach, but does not directly report on the muscular activity of the stomach itself. Here we describe a novel approach to characterize the motility of the stomach wall that drives the volumetric changes of the gastric content. In this approach, a surface template was used as a deformable model of the stomach wall. A neural ordinary differential equation (ODE) was optimized to model a diffeomorphic flow that ascribed the deformation of the stomach wall to a continuous biomedical process. Driven by this diffeomorphic flow, the surface template of the stomach progressively changes its shape over time or between conditions, while preserving its topology and manifoldness. We tested this approach with MRI data collected from 10 Sprague Dawley rats under a lightly anesthetized condition. Our proposed approach allowed us to characterize gastric anatomy and motility with a surface coordinate system common to every individual. Anatomical and motility features could be characterized for each individual, and then compared and summarized across individuals for group-level analysis. As a result, high-resolution functional maps were generated to reveal the spatial, temporal, and spectral characteristics of muscle activity as well as the coordination of motor events across different gastric regions. The relationship between muscle thickness and gastric motility was also evaluated throughout the entire stomach wall. Such a structure-function relationship was used to delineate two distinctive functional regions of the stomach. These results demonstrate the efficacy of using GI-MRI to measure and model gastric anatomy and function. This approach described herein is expected to enable non-invasive and accurate mapping of gastric motility throughout the entire stomach for both preclinical and clinical studies.

show abstract

Diffeomorphic Surface Modeling for MRI-Based Characterization of Gastric Anatomy and Motility

Wang

Cao

Han

et al. 2023

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

A Computational Model of Biophysical Properties of the Rat Stomach Informed by Comprehensive Analysis of Muscle Anatomy

Cited by 3 publications

References 12 publications

Computational models of autonomic regulation in gastric motility: Progress, challenges, and future directions

Computational models of autonomic regulation in gastric motility: Progress, challenges, and future directions

Surface-based Characterization of Gastric Anatomy and Motility using Magnetic Resonance Imaging and Neural Ordinary Differential Equation

Diffeomorphic Surface Modeling for MRI-Based Characterization of Gastric Anatomy and Motility

Contact Info

Product

Resources

About