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Evaluating the Effect of Fibre Parameters on Neural Simulations Computed Using ASCENT.

Zachary Nairac, Zack Bailey, Timothy G Constandinou

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |March 5, 2025
    PubMed
    Summary

    Computational models aid neural stimulation research. ASCENT simulations show fibre count and diameter seed significantly impact fascicle selectivity, guiding optimized neural simulations.

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    Area of Science:

    • Computational neuroscience
    • Biomedical engineering
    • Neural engineering

    Background:

    • Computational models are vital for neural stimulation technique development, enabling in silico testing.
    • Simulation parameter fidelity is critical for predictive accuracy in real-world applications.
    • ASCENT is a pipeline combining COMSOL and NEURON for nerve and cuff simulations.

    Purpose of the Study:

    • To investigate the ASCENT simulation pipeline for neural stimulation.
    • To identify key simulation parameters affecting fascicle-level selectivity.
    • To provide recommendations for optimizing ASCENT neural simulations.

    Main Methods:

    • Focused on three simulation parameters: modelled fibre count, fascicle fibre ratio, and random number seed values.
    • Evaluated the effect of these parameters on fascicle-level selectivity for a stimulation pulse.
    • Utilized the ASCENT pipeline for simulating specific nerve and cuff configurations.

    Main Results:

    • Modelled fibre count significantly impacts calculated fascicle selectivity.
    • Fibre diameter seed values also have a significant effect on fascicle selectivity.
    • Fibre location seed and fascicle fibre ratio showed negligible effects on selectivity.

    Conclusions:

    • Fibre count and diameter seed are critical parameters for accurate fascicle selectivity simulations using ASCENT.
    • ASCENT is a useful platform for selective stimulation method research, with specific parameter optimization needed.
    • Recommendations are provided for researchers using ASCENT to improve the optimization of neural simulations.