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3 April 2023Optimal delivery of vagus nerve stimulation
Kyvia Pereira,Ma Luo, Michael I. Miga
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Kyvia Pereira,1,2 Ma Luo,1,2 Michael I. Miga1,2,3

1Vanderbilt Univ. (United States)
2Vanderbilt Institute for Surgery and Engineering (United States)
3Vanderbilt Univ. Medical Ctr. (United States)
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Abstract
Vagus Nerve Stimulation (VNS) is an effective technique for treating epilepsy, and it is a promising method to treat many other health conditions, such as depression, cardiovascular disease, chronic pain, diabetes, and others. Due to this wide range of applications, many researchers have developed VNS devices and stimulation techniques over the past decades. However, a common practice is to implant an electrode that has a rather broad stimulation field across the Vagus Nervus (VN) and as a result has limited anatomical specificity and may lead to adverse side effects. The efficacy and breadth of VNS therapy can be improved by selectively modulating only regions associated with a given function. Additionally, enhanced precision should also facilitate uncovering functional vagotopy. In this work, stimulation levels, amount of current injected and electrode configuration are investigated to determine the extent to which activation of the vagus nerve can be precisely controlled. A simple quantitative method to optimize activation is also proposed.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyvia Pereira,Ma Luo, andMichael I. Miga"Optimal delivery of vagus nerve stimulation", Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124662C (3 April 2023);https://doi.org/10.1117/12.2655779
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KEYWORDS
Nerve

Electrodes

Anatomy

Nerve stimulation

Axons

Mathematical optimization

Modulation

Animal model studies

Neurological disorders

Surgery

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Kyvia Pereira, Ma Luo, Michael I. Miga, "Optimal delivery of vagus nerve stimulation," Proc. SPIE 12466, Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, 124662C (3 April 2023); https://doi.org/10.1117/12.2655779
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