Amine M Samoudi1, Stefan Kampusch2, Emmeric Tanghe3, Jozsef C Széles4, Luc Martens3, Eugenijus Kaniusas2, Wout Joseph3. 1. Department of Information Technology (INTEC), Ghent University/imec, iGent, Technologiepark-Zwijnaarde, 15, 9052, Ghent, Belgium. amine.samoudi@ugent.be. 2. Research Group Biomedical Sensing, Institute of Electrodynamics, Microwave and Circuit Engineering, TU Wien, Vienna, Austria. 3. Department of Information Technology (INTEC), Ghent University/imec, iGent, Technologiepark-Zwijnaarde, 15, 9052, Ghent, Belgium. 4. Department of Surgery, Medical University Vienna, Vienna, Austria.
Abstract
OBJECTIVE: Percutaneous stimulation of the auricular branch of the vagus nerve (pVNS) by miniaturized needle electrodes in the auricle gained importance as a treatment for acute and chronic pain. The objective is to establish a realistic numerical model of pVNS and investigate the effects of stimulation waveform, electrodes' depth, and electrodes' position on nerve excitation threshold and the percentage of stimulated nerves. METHODS: Simulations were performed with Sim4Life. An electrostatic solver and neural tissue models were combined for electromagnetic and neural simulation. The numerical model consisted of a realistic high-resolution model of a human ear, blood vessels, nerves, and three needle electrodes. RESULTS: A novel 3D ear model was established, including blood vessels and nerves. The electric field distribution was extracted and evaluated. Maximum sensitivity to needles' depth and displacement was evaluated to be 9.8 and 15.5% per 0.1 mm, respectively. Stimulation was most effective using biphasic compared to mono-phasic pulses. CONCLUSION: The established model allows easy and quantitative evaluation of various stimulation setups, enabling optimization of pVNS in experimental settings. Results suggest a high sensitivity of pVNS to the electrodes' position and depth, implying the need for precise electrode positioning. Validation of the model needs to be performed.
OBJECTIVE: Percutaneous stimulation of the auricular branch of the vagus nerve (pVNS) by miniaturized needle electrodes in the auricle gained importance as a treatment for acute and chronic pain. The objective is to establish a realistic numerical model of pVNS and investigate the effects of stimulation waveform, electrodes' depth, and electrodes' position on nerve excitation threshold and the percentage of stimulated nerves. METHODS: Simulations were performed with Sim4Life. An electrostatic solver and neural tissue models were combined for electromagnetic and neural simulation. The numerical model consisted of a realistic high-resolution model of a human ear, blood vessels, nerves, and three needle electrodes. RESULTS: A novel 3D ear model was established, including blood vessels and nerves. The electric field distribution was extracted and evaluated. Maximum sensitivity to needles' depth and displacement was evaluated to be 9.8 and 15.5% per 0.1 mm, respectively. Stimulation was most effective using biphasic compared to mono-phasic pulses. CONCLUSION: The established model allows easy and quantitative evaluation of various stimulation setups, enabling optimization of pVNS in experimental settings. Results suggest a high sensitivity of pVNS to the electrodes' position and depth, implying the need for precise electrode positioning. Validation of the model needs to be performed.
Entities:
Keywords:
Auricular branch of the vagus nerve; Electromagnetic simulation; Neuromodulation; SENN
Authors: Svjetlana Miocinovic; Martin Parent; Christopher R Butson; Philip J Hahn; Gary S Russo; Jerrold L Vitek; Cameron C McIntyre Journal: J Neurophysiol Date: 2006-05-31 Impact factor: 2.714
Authors: Sabine M Sator-Katzenschlager; Jozef C Szeles; Gisela Scharbert; Andrea Michalek-Sauberer; Alexander Kober; Georg Heinze; Sibylle A Kozek-Langenecker Journal: Anesth Analg Date: 2003-11 Impact factor: 5.108
Authors: Mathias Davids; Bastien Guérin; Valerie Klein; Martin Schmelz; Lothar R Schad; Lawrence L Wald Journal: J Neural Eng Date: 2020-01-14 Impact factor: 5.379
Authors: Babak Dabiri; Stefan Kampusch; Stefan H Geyer; Van Hoang Le; Wolfgang J Weninger; Jozsef Constantin Széles; Eugenijus Kaniusas Journal: Front Neuroanat Date: 2020-05-12 Impact factor: 3.856
Authors: Eugenijus Kaniusas; Stefan Kampusch; Marc Tittgemeyer; Fivos Panetsos; Raquel Fernandez Gines; Michele Papa; Attila Kiss; Bruno Podesser; Antonino Mario Cassara; Emmeric Tanghe; Amine Mohammed Samoudi; Thomas Tarnaud; Wout Joseph; Vaidotas Marozas; Arunas Lukosevicius; Niko Ištuk; Sarah Lechner; Wlodzimierz Klonowski; Giedrius Varoneckas; Jozsef Constantin Széles; Antonio Šarolić Journal: Front Neurosci Date: 2019-07-24 Impact factor: 4.677