ASCENT

ASCENT performs automated simulations to characterize electrical nerve thresholds by modeling electrical stimulation of peripheral nerves to assess activation and block and support translation of preclinical findings to clinical therapies.

Key Features:

• Standardized Modeling Pipeline: Includes libraries for assembling electrodes, defining electrical properties of biological materials, integrating previously published fiber models, and employing common stimulation waveforms.
• Modular Design: Modular architecture enables customization of simulations for varying neural anatomies, electrode configurations, and stimulation parameters.
• Scalability: Scales to handle complex simulations involving multiple variables and large datasets.
• Validation: Undergoes rigorous validation to ensure accuracy of calculations predicting nerve activation and block.

Scientific Applications:

• Reproducibility of Simulation Data: Standardizes parameters and methodologies to produce consistent, reproducible simulation results across studies.
• Integration with Other Models: Integrates with organ system simulations and other computational models to link nerve stimulation effects to broader physiological contexts.
• Interpretation of Experimental Results: Enables interpretation of experimental data by simulating scenarios and predicting outcomes of nerve stimulation.
• Design of Interventions: Supports design and optimization of experimental setups and clinical stimulation parameters for peripheral nerve therapies.

Methodology:

Simulates electrical activation and blockage of nerve fibers within peripheral nerves using built-in libraries and customizable modules to model electrode design and waveform application.