A Stochastic Algorithm for Generating Realistic Virtual Interstitial Cell of Cajal Networks

IEEE Transactions on Bio-medical Engineering
Jerry GaoLeo K Cheng

Abstract

Interstitial cells of Cajal (ICC) play a central role in coordinating normal gastrointestinal (GI) motility. Depletion of ICC numbers and network integrity contributes to major functional GI motility disorders. However, the mechanisms relating ICC structure to GI function and dysfunction remains unclear, partly because there is a lack of large-scale ICC network imaging data across a spectrum of depletion levels to guide models. Experimental imaging of these large-scale networks remains challenging because of technical constraints, and hence, we propose the generation of realistic virtual ICC networks in silico using the single normal equation simulation (SNESIM) algorithm. ICC network imaging data obtained from wild-type (normal) and 5-HT2B serotonin receptor knockout (depleted ICC) mice were used to inform the algorithm, and the virtual networks generated were assessed using ICC network structural metrics and biophysically-based computational modeling. When the virtual networks were compared to the original networks, there was less than 10% error for four out of five structural metrics and all four functional measures. The SNESIM algorithm was then modified to enable the generation of ICC networks across a spectrum of depletio...Continue Reading

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Citations

Nov 13, 2015·Wiley Interdisciplinary Reviews. Systems Biology and Medicine·Peng DuGregory O'Grady
Jan 31, 2018·Frontiers in Physiology·Peng DuLeo K Cheng

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