Vagus Nerve Electroneurogram-Based Detection of Acute Pentylenetetrazol Induced Seizures in Rats

Author:

Stumpp Lars1,Smets Hugo2,Vespa Simone1,Cury Joaquin2,Doguet Pascal3,Delbeke Jean1,Nonclercq Antoine2,El Tahry Riem14

Affiliation:

1. Institute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium

2. BEAMS Department, Université libre de Bruxelles, Brussels, Belgium

3. Synergia Medical SA, Mont-Saint-Guibert, Belgium

4. Cliniques Universitaires Saint Luc, Center for Refractory Epilepsy, Brussels, Belgium

Abstract

On-demand stimulation improves the efficacy of vagus nerve stimulation (VNS) in refractory epilepsy. The vagus nerve is the main peripheral parasympathetic connection and seizures are known to exhibit autonomic symptoms. Therefore, we hypothesized that seizure detection is possible through vagus nerve electroneurogram (VENG) recording. We developed a metric able to measure abrupt changes in amplitude and frequency of spontaneous vagus nerve action potentials. A classifier was trained using a “leave-one-out” method on a set of 6 seizures and 3 control recordings to utilize the VENG spike feature-based metric for seizure detection. We were able to detect pentylenetetrazol (PTZ) induced acute seizures in 6/6 animals during different stages of the seizure with no false detection. The classifier detected the seizure during an early stage in 3/6 animals and at the onset of tonic clonic stage of the seizure in 3/6 animals. EMG and motion artefacts often accompany epileptic activity. We showed the “epileptic” neural signal to be independent from EMG and motion artefacts. We confirmed the existence of seizure related signals in the VENG recording and proved their applicability for seizure detection. This detection might be a promising tool to improve efficacy of VNS treatment by developing new responsive stimulation systems.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Networks and Communications,General Medicine

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Epileptic EEG Classification via Graph Transformer Network;International Journal of Neural Systems;2023-06-30

2. Action Potential Detection Algorithm Adaptable to Individual Nerve and Recording Setup;2022 IEEE Biomedical Circuits and Systems Conference (BioCAS);2022-10-13

3. A Setup for Conduction Velocities and Temperature Gradients Measurements during Infrared Neurostimulation;2022 IEEE Biomedical Circuits and Systems Conference (BioCAS);2022-10-13

4. Micro Cuff Electrode Manufacture for Vagus Nerve Monitoring in Rats;2022 IEEE Biomedical Circuits and Systems Conference (BioCAS);2022-10-13

5. Chronic Setup System for Continuous Monitoring of Epileptic Rats;2022 IEEE Biomedical Circuits and Systems Conference (BioCAS);2022-10-13

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