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- Title
Numerical modeling of percutaneous auricular vagus nerve stimulation: a realistic 3D model to evaluate sensitivity of neural activation to electrode position.
- Authors
Samoudi, Amine; Kampusch, Stefan; Tanghe, Emmeric; Széles, Jozsef; Martens, Luc; Kaniusas, Eugenijus; Joseph, Wout; Samoudi, Amine M; Széles, Jozsef C
- Abstract
<bold>Objective: </bold>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.<bold>Methods: </bold>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.<bold>Results: </bold>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.<bold>Conclusion: </bold>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.
- Subjects
ELECTROMAGNETIC fields; VAGUS nerve physiology; THREE-dimensional imaging; GROWTH associated protein-43; SENSITIVITY analysis; ELECTRIC stimulation; ELECTRICITY; ELECTRODES; HIGH performance computing; NEURAL stimulation; VAGUS nerve
- Publication
Medical & Biological Engineering & Computing, 2017, Vol 55, Issue 10, p1763
- ISSN
0140-0118
- Publication type
journal article
- DOI
10.1007/s11517-017-1629-7