Publications Utilizing ASCENT

• Blanz, S. L., Musselman, E. D., Settell, M. L., Knudsen, B. E., Nicolai, E. N., Trevathan, J. K., Verner, R. S., Begnaud, J., Skubal, A. C., Suminski, A. J., Williams, J. C., Shoffstall, A. J., Grill, W. M., Pelot, N. A., & Ludwig, K. A. (2023). Spatially selective stimulation of the pig vagus nerve to modulate target effect versus side effect. Journal of neural engineering, 20(1), 10.1088/1741-2552/acb3fd. https://doi.org/10.1088/1741-2552/acb3fd

• Huffman, W. J., Musselman, E. D., Pelot, N. A., & Grill, W. M. (2023). Measuring and modeling the effects of vagus nerve stimulation on heart rate and laryngeal muscles. Bioelectronic medicine, 9(1), 3. https://doi.org/10.1186/s42234-023-00107-4

• Davis, C. J., Musselman, E. D., Grill, W. M., & Pelot, N. A. (2023). Fibers in smaller fascicles have lower activation thresholds with cuff electrodes due to thinner perineurium and smaller cross-sectional area. Journal of neural engineering, 20(2), 10.1088/1741-2552/acc42b. https://doi.org/10.1088/1741-2552/acc42b

• Musselman, E. D., Pelot, N. A., & Grill, W. M. (2023). Validated computational models predict vagus nerve stimulation thresholds in preclinical animals and humans. Journal of neural engineering, 20(3), 10.1088/1741-2552/acda64. https://doi.org/10.1088/1741-2552/acda64

• Peña, E., Pelot, N. A., & Grill, W. M. (2024). Computational models of compound nerve action potentials: Efficient filter-based methods to quantify effects of tissue conductivities, conduction distance, and nerve fiber parameters. PLoS computational biology, 20(3), e1011833. https://doi.org/10.1371/journal.pcbi.1011833