Bioelectronic Medicine (Jun 2024)

Using neural biomarkers to personalize dosing of vagus nerve stimulation

  • Antonin Berthon,
  • Lorenz Wernisch,
  • Myrta Stoukidi,
  • Michael Thornton,
  • Olivier Tessier-Lariviere,
  • Pascal Fortier-Poisson,
  • Jorin Mamen,
  • Max Pinkney,
  • Susannah Lee,
  • Elvijs Sarkans,
  • Luca Annecchino,
  • Ben Appleton,
  • Philip Garsed,
  • Bret Patterson,
  • Samuel Gonshaw,
  • Matjaz Jakopec,
  • Sudhakaran Shunmugam,
  • Tristan Edwards,
  • Aleksi Tukiainen,
  • Joel Jennings,
  • Guillaume Lajoie,
  • Emil Hewage,
  • Oliver Armitage

DOI
https://doi.org/10.1186/s42234-024-00147-4
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 24

Abstract

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Abstract Background Vagus nerve stimulation (VNS) is an established therapy for treating a variety of chronic diseases, such as epilepsy, depression, obesity, and for stroke rehabilitation. However, lack of precision and side-effects have hindered its efficacy and extension to new conditions. Achieving a better understanding of the relationship between VNS parameters and neural and physiological responses is therefore necessary to enable the design of personalized dosing procedures and improve precision and efficacy of VNS therapies. Methods We used biomarkers from recorded evoked fiber activity and short-term physiological responses (throat muscle, cardiac and respiratory activity) to understand the response to a wide range of VNS parameters in anaesthetised pigs. Using signal processing, Gaussian processes (GP) and parametric regression models we analyse the relationship between VNS parameters and neural and physiological responses. Results Firstly, we illustrate how considering multiple stimulation parameters in VNS dosing can improve the efficacy and precision of VNS therapies. Secondly, we describe the relationship between different VNS parameters and the evoked fiber activity and show how spatially selective electrodes can be used to improve fiber recruitment. Thirdly, we provide a detailed exploration of the relationship between the activations of neural fiber types and different physiological effects. Finally, based on these results, we discuss how recordings of evoked fiber activity can help design VNS dosing procedures that optimize short-term physiological effects safely and efficiently. Conclusion Understanding of evoked fiber activity during VNS provide powerful biomarkers that could improve the precision, safety and efficacy of VNS therapies.

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