Vagus nerve stimulation-induced laryngeal motor evoked potentials for response prediction and intensity titration in drug-resistant epilepsy

被引:3
|
作者
Berger, Alexandre [1 ,2 ,3 ]
Carapancea, Evelina [1 ]
Vespa, Simone [1 ]
Danthine, Venethia [1 ]
Doguet, Pascal [2 ]
Delbeke, Jean [1 ,4 ]
Nonclercq, Antoine [1 ,5 ]
El Tahry, Riem [1 ,6 ,7 ]
机构
[1] Catholic Univ Louvain, Inst Neurosci IoNS, Dept Clin Neurosci, Brussels, Belgium
[2] Synergia Med SA, Mont St Guibert, Belgium
[3] Univ Liege, GIGA Inst, Sleep & Chronobiol Lab, CRC In Vivo Imaging Unit, Liege, Belgium
[4] Univ Ghent, Dept Neurol, Inst Neurosci, LCEN3, Ghent, Belgium
[5] Ecole Polytech Bruxelles, Bio Electro & Mech Syst Dept BEAMS, Brussels, Belgium
[6] Clin Univ St Luc, Ctr Refractory Epilepsy, Dept Neurol, Brussels, Belgium
[7] WEL Res Inst, Walloon Excellence Life Sci & Biotechnol Dept, Ave Pasteur 6, B-1300 Wavre, Belgium
关键词
Vagus nerve stimulation; Epilepsy; Larynx; Biomarker; Motor-evoked potentials; SVM; EFFICACY; BIOMARKER; SAFETY;
D O I
10.1016/j.clinph.2023.01.009
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: The objective of the study was to record Laryngeal Motor Evoked Potentials (LMEPs) in Vagus Nerve Stimulation (VNS)-implanted patients suffering from Drug-Resistant Epilepsy (DRE). Based on these recordings, LMEPs characteristics were evaluated and compared between responders (R) and non-responders (NR). Finally, possible under-or over-stimulation was assessed based on a physiological indicator of fiber engagement.Methods: Mean dose-response curves were compared between R and NR. A Support Vector Machine (SVM) model was built based on both LMEP and dose-response curves features, to discriminate R from NR. For the exploration of possible under-or over-stimulation, a ratio between the clinically applied stim-ulation intensity and the intensity yielding to LMEP saturation was computed for each patient.Results: A trend towards a greater excitability of the nerve was observed in R compared to NR. The SVM classifier discriminated R and NR with an accuracy of 80%. An ineffective attempt to overstimulate at cur-rent levels above what is usually necessary to obtain clinical benefits was suggested in NR.Conclusions: The SVM model built emphasizes a possible link between vagus nerve recruitment charac-teristics and treatment effectiveness. Most of the clinically responding patients receive VNS at a stimu-lation intensity 1-fold and 2-fold the intensity inducing LMEP saturation.Significance: LMEP saturation could be a practical help in guiding the titration of the stimulation param-eters using a physiological indicator of fiber engagement.(c) 2023 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licensesiby-nc-nd/4.0/).
引用
收藏
页码:99 / 107
页数:9
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