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Article

Prediction of the Responsiveness to Vagus-Nerve Stimulation in Patients with Drug-Resistant Epilepsy via Directed-Transfer-Function Analysis of Their Perioperative Scalp EEGs

1
Department of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul 07804, Korea
2
Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences and Technology (SAHIST), Sungkyunkwan University, Seoul 06355, Korea
3
Biomedical Engineering Research Center, Samsung Medical Center, Seoul 06351, Korea
4
Department of Neurology, The Catholic University of Korea Eunpyeong St. Mary’s Hospital, Seoul 03312, Korea
5
Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06351, Korea
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2022, 11(13), 3695; https://doi.org/10.3390/jcm11133695
Submission received: 13 May 2022 / Revised: 18 June 2022 / Accepted: 22 June 2022 / Published: 27 June 2022
(This article belongs to the Section Clinical Neurology)

Abstract

This study aims to compare directed transfer function (DTF), which is an effective connectivity analysis, derived from scalp EEGs between responder and nonresponder groups implanted with vagus-nerve stimulation (VNS). Twelve patients with drug-resistant epilepsy (six responders and six nonresponders) and ten controls were recruited. A good response to VNS was defined as a reduction of ≥50% in seizure frequency compared with the presurgical baseline. DTF was calculated in five frequency bands (delta, theta, alpha, beta, and broadband) and seven grouped electrode regions (left and right frontal, temporal, parieto-occipital, and midline) in three different states (presurgical, stimulation-on, and stimulation-off states). Responders showed presurgical nodal strength close to the control group in both inflow and outflow, whereas nonresponders exhibited increased inward and outward connectivity measures. Nonresponders also had increased inward and outward connectivity measures in the various brain regions and various frequency bands assessed compared with the control group when the stimulation was on or off. Our study demonstrated that the presurgical DTF profiles of responders were different from those of nonresponders. Moreover, a presurgical normal DTF profile may predict good responsiveness to VNS.
Keywords: drug-resistant epilepsy; vagus-nerve stimulation; electroencephalography; brain connectivity; directed transfer function drug-resistant epilepsy; vagus-nerve stimulation; electroencephalography; brain connectivity; directed transfer function

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MDPI and ACS Style

Kim, D.; Kim, T.; Hwang, Y.; Lee, C.Y.; Joo, E.Y.; Seo, D.-W.; Hong, S.B.; Shon, Y.-M. Prediction of the Responsiveness to Vagus-Nerve Stimulation in Patients with Drug-Resistant Epilepsy via Directed-Transfer-Function Analysis of Their Perioperative Scalp EEGs. J. Clin. Med. 2022, 11, 3695. https://doi.org/10.3390/jcm11133695

AMA Style

Kim D, Kim T, Hwang Y, Lee CY, Joo EY, Seo D-W, Hong SB, Shon Y-M. Prediction of the Responsiveness to Vagus-Nerve Stimulation in Patients with Drug-Resistant Epilepsy via Directed-Transfer-Function Analysis of Their Perioperative Scalp EEGs. Journal of Clinical Medicine. 2022; 11(13):3695. https://doi.org/10.3390/jcm11133695

Chicago/Turabian Style

Kim, Dongyeop, Taekyung Kim, Yoonha Hwang, Chae Young Lee, Eun Yeon Joo, Dae-Won Seo, Seung Bong Hong, and Young-Min Shon. 2022. "Prediction of the Responsiveness to Vagus-Nerve Stimulation in Patients with Drug-Resistant Epilepsy via Directed-Transfer-Function Analysis of Their Perioperative Scalp EEGs" Journal of Clinical Medicine 11, no. 13: 3695. https://doi.org/10.3390/jcm11133695

APA Style

Kim, D., Kim, T., Hwang, Y., Lee, C. Y., Joo, E. Y., Seo, D.-W., Hong, S. B., & Shon, Y.-M. (2022). Prediction of the Responsiveness to Vagus-Nerve Stimulation in Patients with Drug-Resistant Epilepsy via Directed-Transfer-Function Analysis of Their Perioperative Scalp EEGs. Journal of Clinical Medicine, 11(13), 3695. https://doi.org/10.3390/jcm11133695

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