Literature DB >> 17457969

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

Leo K Cheng1, Rie Komuro, Travis M Austin, Martin L Buist, Andrew J Pullan.   

Abstract

One of the major aims of the International Union of Physiological Sciences (IUPS) Physiome Project is to develop multiscale mathematical and computer models that can be used to help understand human health. We present here a small facet of this broad plan that applies to the gastrointestinal system. Specifically, we present an anatomically and physiologically based modelling framework that is capable of simulating normal and pathological electrical activity within the stomach and small intestine. The continuum models used within this framework have been created using anatomical information derived from common medical imaging modalities and data from the Visible Human Project. These models explicitly incorporate the various smooth muscle layers and networks of interstitial cells of Cajal (ICC) that are known to exist within the walls of the stomach and small bowel. Electrical activity within individual ICCs and smooth muscle cells is simulated using a previously published simplified representation of the cell level electrical activity. This simulated cell level activity is incorporated into a bidomain representation of the tissue, allowing electrical activity of the entire stomach or intestine to be simulated in the anatomically derived models. This electrical modelling framework successfully replicates many of the qualitative features of the slow wave activity within the stomach and intestine and has also been used to investigate activity associated with functional uncoupling of the stomach.

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Year:  2007        PMID: 17457969      PMCID: PMC4146922          DOI: 10.3748/wjg.v13.i9.1378

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  24 in total

1.  A deformable finite element derived finite difference method for cardiac activation problems.

Authors:  Martin Buist; Gregory Sands; Peter Hunter; Andrew Pullan
Journal:  Ann Biomed Eng       Date:  2003-05       Impact factor: 3.934

2.  Ellipsoidal electrogastrographic forward modelling.

Authors:  Andrei Irimia; L Alan Bradshaw
Journal:  Phys Med Biol       Date:  2005-09-07       Impact factor: 3.609

3.  Computational simulations of the human magneto- and electroenterogram.

Authors:  A S Lin; M L Buist; L K Cheng; N P Smith; A J Pullan
Journal:  Ann Biomed Eng       Date:  2006-06-24       Impact factor: 3.934

4.  Multiscale modelling of human gastric electric activity: can the electrogastrogram detect functional electrical uncoupling?

Authors:  M L Buist; L K Cheng; K M Sanders; A J Pullan
Journal:  Exp Physiol       Date:  2006-01-11       Impact factor: 2.969

5.  Modelling slow wave activity in the small intestine.

Authors:  Anita Shu-Han Lin; Martin L Buist; Nicolas P Smith; Andrew J Pullan
Journal:  J Theor Biol       Date:  2006-04-19       Impact factor: 2.691

6.  Model to simulate the gastric electrical control and response activity on the stomach wall and on the abdominal surface.

Authors:  N Mirizzi; R Stella; U Scafoglieri
Journal:  Med Biol Eng Comput       Date:  1986-03       Impact factor: 2.602

7.  Is there a one-to-one correlation between gastric emptying of liquids and gastric myoelectrical or motor activity in dogs?

Authors:  Xiaohong Xu; Zhishun Wang; James Hayes; J D Z Chen
Journal:  Dig Dis Sci       Date:  2002-02       Impact factor: 3.199

8.  Gastric pacing as therapy for morbid obesity: preliminary results.

Authors:  Valerio Cigaina
Journal:  Obes Surg       Date:  2002-04       Impact factor: 4.129

9.  An anatomical model of the gastric system for producing bioelectric and biomagnetic fields.

Authors:  M L Buist; L K Cheng; R Yassi; L A Bradshaw; W O Richards; A J Pullan
Journal:  Physiol Meas       Date:  2004-08       Impact factor: 2.833

10.  What can be measured from surface electrogastrography. Computer simulations.

Authors:  J Liang; J D Chen
Journal:  Dig Dis Sci       Date:  1997-07       Impact factor: 3.199

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  19 in total

Review 1.  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

2.  Comparison and analysis of inter-subject variability of simulated magnetic activity generated from gastric electrical activity.

Authors:  Rié Komuro; Leo K Cheng; Andrew J Pullan
Journal:  Ann Biomed Eng       Date:  2008-03-11       Impact factor: 3.934

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.  A multiscale model of the electrophysiological basis of the human electrogastrogram.

Authors:  Peng Du; Gregory O'Grady; Leo K Cheng; Andrew J Pullan
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

5.  Effects of electrical stimulation on isolated rodent gastric smooth muscle cells evaluated via a joint computational simulation and experimental approach.

Authors:  P Du; S Li; G O'Grady; L K Cheng; A J Pullan; J D Z Chen
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2009-08-06       Impact factor: 4.052

6.  Tissue-specific mathematical models of slow wave entrainment in wild-type and 5-HT(2B) knockout mice with altered interstitial cells of Cajal networks.

Authors:  Peng Du; Greg O'Grady; Simon J Gibbons; Rita Yassi; Rachel Lees-Green; Gianrico Farrugia; Leo K Cheng; Andrew J Pullan
Journal:  Biophys J       Date:  2010-05-19       Impact factor: 4.033

Review 7.  Slow wave conduction patterns in the stomach: from Waller's foundations to current challenges.

Authors:  L K Cheng
Journal:  Acta Physiol (Oxf)       Date:  2014-11-15       Impact factor: 6.311

8.  High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed.

Authors:  Armen A Gharibans; Sanggyun Kim; David Kunkel; Todd P Coleman
Journal:  IEEE Trans Biomed Eng       Date:  2016-06-09       Impact factor: 4.538

9.  Characterization of gastric electrical activity using magnetic field measurements: a simulation study.

Authors:  J H K Kim; L A Bradshaw; A J Pullan; L K Cheng
Journal:  Ann Biomed Eng       Date:  2009-09-23       Impact factor: 3.934

10.  Surface current density mapping for identification of gastric slow wave propagation.

Authors:  L Alan Bradshaw; Leo K Cheng; William O Richards; Andrew J Pullan
Journal:  IEEE Trans Biomed Eng       Date:  2009-04-28       Impact factor: 4.538

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