Literature DB >> 16626759

Modelling slow wave activity in the small intestine.

Anita Shu-Han Lin1, Martin L Buist, Nicolas P Smith, Andrew J Pullan.   

Abstract

We have developed an anatomically based model to simulate slow wave activity in the small intestine. Geometric data for the human small intestine were obtained from the Visible Human project. These data were used to create a one-dimensional finite element mesh of the entire small intestine using an iterative fitting procedure. The electrically active components of the intestinal walls were modelled using a modified Fitzhugh-Nagumo cell model embedded within a longitudinal smooth muscle layer and a layer containing Interstitial Cells of Cajal. Within these layers, the monodomain equation was used to describe slow wave propagation. To solve the monodomain equation, a high-resolution finite difference grid, with an average spatial resolution of 0.95 mm, was embedded within each finite element. The resulting simulations of intestinal activity agree with the experimental observation that slow wave frequency gradually declines from 12 cycles per minute (cpm) in the duodenum to 8 cpm at the terminal ileum. Furthermore, the simulations demonstrated a decrease in conduction velocity with distance along the small intestine (10.7 cm/s in the duodenum, 5.1cm/s in the jejunum and 1.4 cm/s in the ileum), matching experimental recordings from the canine small intestine. We conclude that the framework presented here is capable of qualitatively simulating normal slow wave activity in an anatomical model of the small intestine.

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Year:  2006        PMID: 16626759     DOI: 10.1016/j.jtbi.2006.03.004

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  12 in total

1.  An extended bidomain framework incorporating multiple cell types.

Authors:  Martin L Buist; Yong Cheng Poh
Journal:  Biophys J       Date:  2010-07-07       Impact factor: 4.033

Review 2.  Multiscale modeling of gastrointestinal electrophysiology and experimental validation.

Authors:  Peng Du; Greg O'Grady; John B Davidson; Leo K Cheng; Andrew J Pullan
Journal:  Crit Rev Biomed Eng       Date:  2010

Review 3.  Mapping and modeling gastrointestinal bioelectricity: from engineering bench to bedside.

Authors:  L K Cheng; P Du; G O'Grady
Journal:  Physiology (Bethesda)       Date:  2013-09

4.  Effects of gap junction inhibition on contraction waves in the murine small intestine in relation to coupled oscillator theory.

Authors:  Sean P Parsons; Jan D Huizinga
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2014-12-11       Impact factor: 4.052

5.  Electrical stimulation of gut motility guided by an in silico model.

Authors:  Bradley B Barth; Craig S Henriquez; Warren M Grill; Xiling Shen
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

Review 6.  Anatomically realistic multiscale models of normal and abnormal gastrointestinal electrical activity.

Authors:  Leo K Cheng; Rie Komuro; Travis M Austin; Martin L Buist; Andrew J Pullan
Journal:  World J Gastroenterol       Date:  2007-03-07       Impact factor: 5.742

Review 7.  Gastrointestinal tract modelling in health and disease.

Authors:  Dong-Hua Liao; Jing-Bo Zhao; Hans Gregersen
Journal:  World J Gastroenterol       Date:  2009-01-14       Impact factor: 5.742

8.  Expression and function of 5-HT7 receptors in smooth muscle preparations from equine duodenum, ileum, and pelvic flexure.

Authors:  Andrea S Prause; Michael H Stoffel; Christopher J Portier; Meike Mevissen
Journal:  Res Vet Sci       Date:  2009-04-11       Impact factor: 2.534

Review 9.  The virtual intestine: in silico modeling of small intestinal electrophysiology and motility and the applications.

Authors:  Peng Du; Niranchan Paskaranandavadivel; Timothy R Angeli; Leo K Cheng; Gregory O'Grady
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2015-11-12

Review 10.  Mechanisms of Electrical Activation and Conduction in the Gastrointestinal System: Lessons from Cardiac Electrophysiology.

Authors:  Gary Tse; Eric Tsz Him Lai; Jie Ming Yeo; Vivian Tse; Sunny Hei Wong
Journal:  Front Physiol       Date:  2016-05-31       Impact factor: 4.566

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