4.6 Review

Selective Neuromodulation of the Vagus Nerve

Journal

FRONTIERS IN NEUROSCIENCE
Volume 15, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fnins.2021.685872

Keywords

vagus nerve; fascicular anatomy; electrical stimulation; neuromodulation; fiber-specificity; spatial specificity

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Funding

  1. UK Medical Research Council (MRC) [MR/R01213X/1]
  2. NIH SPARC [1OT2OD026545-01]

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Selective vagus nerve stimulation (sVNS) has the potential to reduce side effects and enhance treatment efficacy, with several key paradigms and parameters available for selection, but there is still limited understanding of the functional anatomical organization of the vagus nerve.
Vagus nerve stimulation (VNS) is an effective technique for the treatment of refractory epilepsy and shows potential for the treatment of a range of other serious conditions. However, until now stimulation has generally been supramaximal and non-selective, resulting in a range of side effects. Selective VNS (sVNS) aims to mitigate this by targeting specific fiber types within the nerve to produce functionally specific effects. In recent years, several key paradigms of sVNS have been developed-spatially selective, fiber-selective, anodal block, neural titration, and kilohertz electrical stimulation block-as well as various stimulation pulse parameters and electrode array geometries. sVNS can significantly reduce the severity of side effects, and in some cases increase efficacy of the treatment. While most studies have focused on fiber-selective sVNS, spatially selective sVNS has demonstrated comparable mitigation of side-effects. It has the potential to achieve greater specificity and provide crucial information about vagal nerve physiology. Anodal block achieves strong side-effect mitigation too, but is much less specific than fiber- and spatially selective paradigms. The major hurdle to achieving better selectivity of VNS is a limited knowledge of functional anatomical organization of vagus nerve. It is also crucial to optimize electrode array geometry and pulse shape, as well as expand the applications of sVNS beyond the current focus on cardiovascular disease.

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