Goal
Gastric motility disorders have been associated with abnormal slow wave
electrical activity (‘gastric dysrhythmias’). Gastric pacing is a
potential therapy for gastric dysrhythmias, however, new pacing protocols are required
that can effectively modulate motility patterns, while being power efficient. This study
presents a novel comprehensive 3D multi-scale modeling framework of the human stomach,
including anisotropic conduction, capable of evaluating pacing strategies.
Methods
A high resolution anatomically realistic mesh was generated from CT images
taken from a human stomach. Principal conduction axes were calculated and embedded
within this model based on a modified Laplace-Dirichlet rule based algorithm. A
continuum based tridomain formulation was implemented and evaluated for performance, and
used to model the slow wave propagation, which takes into account the two main cell
types present in gastric musculature. Model parameters were found by matching predicted
normal slow-wave activity to experimental observation and data. These simulation
parameters were applied while modeling an external pacing event to entrain slow wave
patterns.
Results
The proposed formulation was found to be 2 times more efficient than a previous
formulation for a normal slow wave simulation. Convergence analysis showed that a mesh
resolution of ≈ 0.4 –0.5mm is required for an accurate
solution process.
Conclusion
The effect of different pacing frequencies on entrainment demonstrated that the
pacing protocols are limited by the frequency of the native propagation and the
refractory period of the cellular activity.
Significance
The model is expected to become an important tool in studying pacing protocols
for both efficiency and effectiveness.