Application of a computational model of vagus nerve stimulation

• DOI: 10.1111/j.1600-0404.2012.01656.x
• Publication Date: 2012-02-24T09:45:20Z
• Authors: S. L. Helmers; J. Begnaud; A. Cowley; H. M. Corwin; J. C. Edwards; D. L. Holder; H. Kostov; P. G. Larsson; P. M. Levisohn; M. S. Menezes; H. Stefan; D. M. Labiner
• Keywords: Vagus Nerve Stimulation; Neurostimulation; Duty cycle; Neurophysiology

Objectives The most widely used and studied neurostimulation procedure for medically refractory epilepsy is vagus nerve stimulation (VNS) Therapy. goal of this study was to develop a computational model improved understanding the anatomy neurophysiology as it pertains principles electrical stimulation, aiming provide clinicians with systematic rational VNS Materials methods Computational modeling allows peripheral nerves. We finite element electric field models Therapy electrodes calculate voltage several output currents effects two programmable parameters (output current pulse width) on optimal fiber activation. Results mathematical correlated well strength–duration curves constructed from actual patient data. In addition, digital constructs chronic versus acute implant demonstrated that at given width combination, presence 110-μm fibrotic tissue can decrease activation by 50%. Based our findings, range settings between 0.75 1.75 mA 250 or 500 μs may result in stimulation. Conclusions illustrates how achieve full nearly myelinated fibers through settings. This knowledge will enable apply these proceed adjust duty cycle frequency effectiveness.