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Vagus nerve stimulation using an endovascular electrode array.

Authors :
Nicolai EN
Larco JA
Madhani SI
Asirvatham SJ
Chang SY
Ludwig KA
Savastano LE
Worrell GA
Source :
Journal of neural engineering [J Neural Eng] 2023 Jul 14; Vol. 20 (4). Date of Electronic Publication: 2023 Jul 14.
Publication Year :
2023

Abstract

Objective . Vagus nerve stimulation (VNS), which involves a surgical procedure to place electrodes directly on the vagus nerve (VN), is approved clinically for the treatment of epilepsy, depression, and to facilitate rehabilitation in stroke. VNS at surgically implanted electrodes is often limited by activation of motor nerve fibers near and within the VN that cause neck muscle contraction. In this study we investigated endovascular VNS that may allow activation of the VN at locations where the motor nerve fibers are not localized. Approach . We used endovascular electrodes within the nearby internal jugular vein (IJV) to electrically stimulate the VN while recording VN compound action potentials (CAPs) and neck muscle motor evoked potentials (MEPs) in an acute intraoperative swine experiment. Main Results . We show that the stimulation electrode position within the IJV is critical for efficient activation of the VN. We also demonstrate use of fluoroscopy (cone beam CT mode) and ultrasound to determine the position of the endovascular stimulation electrode with respect to the VN and IJV. At the most effective endovascular stimulation locations tested, thresholds for VN activation were several times higher than direct stimulation of the nerve using a cuff electrode; however, this work demonstrates the feasibility of VNS with endovascular electrodes and provides tools to optimize endovascular electrode positions for VNS. Significance . This work lays the foundation to develop endovascular VNS strategies to stimulate at VN locations that would be otherwise too invasive and at VN locations where structures such as motor nerve fibers do not exist.<br /> (© 2023 IOP Publishing Ltd.)

Details

Language :
English
ISSN :
1741-2552
Volume :
20
Issue :
4
Database :
MEDLINE
Journal :
Journal of neural engineering
Publication Type :
Academic Journal
Accession number :
37276858
Full Text :
https://doi.org/10.1088/1741-2552/acdb9b