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Review
. 2007 Mar 7;13(9):1378-83.
doi: 10.3748/wjg.v13.i9.1378.

Anatomically realistic multiscale models of normal and abnormal gastrointestinal electrical activity

Affiliations
Review

Anatomically realistic multiscale models of normal and abnormal gastrointestinal electrical activity

Leo K Cheng et al. World J Gastroenterol. .

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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Figures

Figure 1
Figure 1
Shown above in (A) is the skin surface enclosing the esophageous, stomach, small and large intestines and a portion of the skeletal system where the components of the digestive system were created from digitized images from the visible man project. Shown in (B) is an enlarged view of the stomach with a high resolution mesh created over the finite elements that define the stomach geometry and (C) is an enlarged view of layers and muscle fibers on that stomach. Specifically modelled are the longitudinal (LM) and circular muscle (CM) layers separated by the ICC-MY (myenteric) and ICC-SEP (septa) layers.
Figure 2
Figure 2
Gastric geometric models of a normal human (A and B) and pig (C). A: Enlarged view of human stomach surface with green points showing the digitized points of the stomach, overlaid with a CT image; B: the fitted stomach and skin surfaces with a CT image overlaid. The costal margin is outlined by the white interconnected points. C: Anterior view of a pig stomach created from MR images. Shown are the digitised points corresponding to the stomach (green points), the stomach surface (transparent surface) as well as a coronal MR image from which the model was created.
Figure 3
Figure 3
Anterior views of models of stomachs created from CT images acquired from 4 different human volunteers, illustrating some of the high degree of anatomical variability. Shown are the stomach (red surfaces), skin (transparent surface) and the costal margin (white interconnected points).
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Figure 4
Figure 4
Simulation results at five second intervals showing gastric slow wave activity wave in a human (A-E) and porcine (F-J) stomach. The human stomach has a dominant frequency of 3.0 cpm while the porcine model has a dominant frequency of 3.7 cpm. Shown above is the transmembrane potential distribution on the outer surface of the stomach coloured by the scale bar below the images.
Figure 5
Figure 5
Slow wave intestinal activity. Shown are the transmembrane potentials from the (A) ICC and (B) smooth muscle layers at a particular time instance.
Figure 6
Figure 6
Top row (A-E) shows normal slow wave activity at 5 second interval. In this case the antrum is entrained by the slow wave activity originating in the corpus, is shown. In the second row (F-J), the corpus and antrum maintain the same frequency of slow wave activity, but in this situation, the antrum is not being entrained by the activity of the corpus. The bottom row (K-O) illustrates what happens when the intrinsic frequency of the antrum exceeds that of the corpus, resulting in some retrograde slow wave behaviour.

References

    1. Pullan AJ, Buist ML, Cheng LK. Mathematically Modelling the Electrical Activity of the Heart: From Cell to Body Surface and Back Again. New Jersey: World Scientific; 2005.
    1. Pullan A, Cheng L, Yassi R, Buist M. Modelling gastrointestinal bioelectric activity. Prog Biophys Mol Biol. 2004;85:523–550. - PubMed
    1. Buist ML, Cheng LK, Yassi R, Bradshaw LA, Richards WO, Pullan AJ. An anatomical model of the gastric system for producing bioelectric and biomagnetic fields. Physiol Meas. 2004;25:849–861. - PubMed
    1. Lin AS, Buist ML, Cheng LK, Smith NP, Pullan AJ. Computational simulations of the human magneto- and electroenterogram. Ann Biomed Eng. 2006;34:1322–1331. - PubMed
    1. Liang J, Chen JD. What can be measured from surface electrogastrography. Computer simulations. Dig Dis Sci. 1997;42:1331–1343. - PubMed

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