Berger Alexandre, Carapancea Evelina, Vespa Simone, Danthine Venethia, Doguet Pascal, Delbeke Jean, Nonclercq Antoine, El Tahry Riëm
Institute of Neuroscience (IoNS), Department of Clinical Neuroscience, Université Catholique de Louvain, Brussels, Belgium; Synergia Medical SA, Mont-Saint-Guibert, Belgium; Sleep and Chronobiology Lab, GIGA-Institute, CRC-In Vivo Imaging Unit, University of Liège, Liège, Belgium.
Institute of Neuroscience (IoNS), Department of Clinical Neuroscience, Université Catholique de Louvain, Brussels, Belgium.
Clin Neurophysiol. 2023 Mar;147:99-107. doi: 10.1016/j.clinph.2023.01.009. Epub 2023 Jan 27.
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.
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 stimulation intensity and the intensity yielding to LMEP saturation was computed for each patient.
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 current levels above what is usually necessary to obtain clinical benefits was suggested in NR.
The SVM model built emphasizes a possible link between vagus nerve recruitment characteristics and treatment effectiveness. Most of the clinically responding patients receive VNS at a stimulation intensity 1-fold and 2-fold the intensity inducing LMEP saturation.
LMEP saturation could be a practical help in guiding the titration of the stimulation parameters using a physiological indicator of fiber engagement.
本研究的目的是记录植入迷走神经刺激(VNS)的耐药性癫痫(DRE)患者的喉运动诱发电位(LMEP)。基于这些记录,评估并比较反应者(R)和无反应者(NR)之间的LMEP特征。最后,根据纤维参与的生理指标评估可能的刺激不足或过度刺激。
比较R和NR之间的平均剂量反应曲线。基于LMEP和剂量反应曲线特征建立支持向量机(SVM)模型,以区分R和NR。为了探索可能的刺激不足或过度刺激,计算每位患者临床应用的刺激强度与导致LMEP饱和的强度之间的比率。
与NR相比,R组观察到神经兴奋性更高的趋势。SVM分类器区分R和NR的准确率为80%。提示在NR组中,在高于通常获得临床益处所需的当前水平进行过度刺激的尝试无效。
所建立的SVM模型强调了迷走神经募集特征与治疗效果之间可能存在的联系。大多数临床有反应的患者接受VNS治疗时的刺激强度是诱导LMEP饱和强度的1倍至2倍。
LMEP饱和可能有助于使用纤维参与的生理指标指导刺激参数的滴定。