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

Berger, Alexandre; Carapancea, Evelina; Vespa, Simone; Danthine, Venethia; Doguet, Pascal; Delbeke, Jean; Nonclercq, Antoine; Tahry, Riëm El

doi:10.1016/j.clinph.2023.01.009

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…From this point of view, it seems reasonable to focus on this topic. Several authors have identi ed individual preimplantation markers differentiating between VNS responders and nonresponders, including in the analysis of laryngeal motor evoked potentials [54] and in works based on MRI [55,56] or magnetoencephalography (MEG) data analysis [57]. We can expect that at least some of these markers will be successfully incorporated into predictive algorithms.…”

Section: Discussionmentioning

confidence: 99%

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

Sklenarova,

Chladek,

Macek

et al. 2023

Preprint

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Vagus nerve stimulation (VNS) is a therapeutic option in drug-resistant epilepsy. VNS leads to ≥ 50% seizure reduction in 50 to 60% of patients, termed "responders." The remaining 40 to 50% of patients, "non-responders," exhibit seizure reduction < 50%. Our work aims to differentiate between these two patient groups in preimplantation EEG analysis by employing several Entropy methods. We identified 59 drug-resistant epilepsy patients treated with VNS. We established their response to VNS in terms of responders and non-responders. A preimplantation EEG with eyes open/closed, photic stimulation, and hyperventilation was found for each patient. The EEG was segmented into eight time intervals within four standard frequency bands. In all, 32 EEG segments were obtained. Seven Entropy methods were calculated for all segments. Subsequently, VNS responders and non-responders were compared using individual Entropy methods. A total of 59 patients with epilepsy who were treated with VNS were identified. VNS responders and non-responders differed significantly in all Entropy methods except Approximate Entropy. Spectral Entropy revealed the highest number of EEG segments differentiating between responders and non-responders. The most useful frequency band distinguishing responders and non-responders was the alpha frequency, and the most helpful time interval was hyperventilation and rest 4 (the end of EEG recording).

show abstract

Section: Discussionmentioning

confidence: 99%

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

Sklenarova,

Chladek,

Macek

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…From this point of view, it seems reasonable to focus on this topic. Several authors have identified individual preimplantation markers differentiating between VNS responders and non-responders, including in the analysis of laryngeal motor evoked potentials 55 and in works based on MRI 56 , 57 or magnetoencephalography (MEG) data analysis 58 . We can expect that at least some of these markers will be successfully incorporated into predictive algorithms.…”

Section: Discussionmentioning

confidence: 99%

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

Sklenarova,

Chladek,

Macek

et al. 2023

Sci Rep

View full text Add to dashboard Cite

Vagus nerve stimulation (VNS) is a therapeutic option in drug-resistant epilepsy. VNS leads to ≥ 50% seizure reduction in 50 to 60% of patients, termed "responders". The remaining 40 to 50% of patients, "non-responders", exhibit seizure reduction < 50%. Our work aims to differentiate between these two patient groups in preimplantation EEG analysis by employing several Entropy methods. We identified 59 drug-resistant epilepsy patients treated with VNS. We established their response to VNS in terms of responders and non-responders. A preimplantation EEG with eyes open/closed, photic stimulation, and hyperventilation was found for each patient. The EEG was segmented into eight time intervals within four standard frequency bands. In all, 32 EEG segments were obtained. Seven Entropy methods were calculated for all segments. Subsequently, VNS responders and non-responders were compared using individual Entropy methods. VNS responders and non-responders differed significantly in all Entropy methods except Approximate Entropy. Spectral Entropy revealed the highest number of EEG segments differentiating between responders and non-responders. The most useful frequency band distinguishing responders and non-responders was the alpha frequency, and the most helpful time interval was hyperventilation and rest 4 (the end of EEG recording).

show abstract

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

Cited by 2 publications

References 28 publications

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

Entropy in scalp EEG can be used as a preimplantation marker for VNS efficacy

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