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Su L, Chang M, Li Y, Ding H, Zhao X, Li B, Li J. Analysis of factors influencing the efficacy of vagus nerve stimulation for the treatment of drug-resistant epilepsy in children and prediction model for efficacy evaluation. Front Neurol 2024; 15:1321245. [PMID: 38419715 PMCID: PMC10899677 DOI: 10.3389/fneur.2024.1321245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 01/29/2024] [Indexed: 03/02/2024] Open
Abstract
Objective Vagus nerve stimulation (VNS) has been widely used in the treatment of drug-resistant epilepsy (DRE) in children. We aimed to explore the efficacy and safety of VNS, focusing on factors that can influence the efficacy of VNS, and construct a prediction model for the efficacy of VNS in the treatment of DRE children. Methods Retrospectively analyzed 45 DRE children who underwent VNS at Qilu Hospital of Shandong University from June 2016 to November 2022. A ≥50% reduction in seizure frequency was defined as responder, logistic regression analyses were performed to analyze factors affecting the efficacy of VNS, and a predictive model was constructed. The predictive model was evaluated by receiver operating characteristic curve (ROC), calibration curves, and decision curve analyses (DCA). Results A total of 45 DRE children were included in this study, and the frequency of seizures was significantly reduced after VNS treatment, with 25 responders (55.6%), of whom 6 (13.3%) achieved seizure freedom. There was a significant improvement in the Quality of Life in Childhood Epilepsy Questionnaire (15.5%) and Seizure Severity Score (46.2%). 16 potential factors affecting the efficacy of VNS were included, and three statistically significant positive predictors were ultimately screened: shorter seizure duration, focal seizure, and absence of intellectual disability. We developed a nomogram for predicting the efficacy of VNS in the treatment of DRE children. The ROC curve confirmed that the predictive model has good diagnostic performance (AUC = 0.864, P < 0.05), and the nomogram can be further validated by bootstrapping for 1,000 repetitions, with a C-index of 0.837. Besides, this model showed good fitting and calibration and positive net benefits in decision curve analysis. Conclusion VNS is a safe and effective treatment for DRE children. We developed a predictive nomogram for the efficacy of VNS, which provides a basis for more accurate selection of VNS patients.
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Affiliation(s)
- Li Su
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Mengmeng Chang
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Department of Pediatric Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Yumei Li
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Hao Ding
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Xiaoyu Zhao
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Baomin Li
- Department of Pediatrics, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Jun Li
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Fukuda M, Matsuo T, Fujimoto S, Kashii H, Hoshino A, Ishiyama A, Kumada S. Vagus Nerve Stimulation Therapy for Drug-Resistant Epilepsy in Children-A Literature Review. J Clin Med 2024; 13:780. [PMID: 38337474 PMCID: PMC10856244 DOI: 10.3390/jcm13030780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/12/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024] Open
Abstract
Vagus nerve stimulation (VNS) is a palliative treatment for drug-resistant epilepsy (DRE) that has been in use for over two decades. VNS suppresses epileptic seizures, prevents emotional disorders, and improves cognitive function and sleep quality, a parallel effect associated with the control of epileptic seizures. The seizure suppression rate with VNS increases monthly to annually, and the incidence of side effects reduces over time. This method is effective in treating DRE in children as well as adults, such as epilepsy associated with tuberous sclerosis, Dravet syndrome, and Lennox-Gastaut syndrome. In children, it has been reported that seizures decreased by >70% approximately 8 years after initiating VNS, and the 50% responder rate was reported to be approximately 70%. VNS regulates stimulation and has multiple useful systems, including self-seizure suppression using magnets, additional stimulation using an automatic seizure detection system, different stimulation settings for day and night, and an automatic stimulation adjustment system that reduces hospital visits. VNS suppresses seizures and has beneficial behavioral effects in children with DRE. This review describes the VNS system, the mechanism of the therapeutic effect, the specific stimulation adjustment method, antiepileptic effects, and other clinical effects in patients with childhood DRE.
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Affiliation(s)
- Mitsumasa Fukuda
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (H.K.); (A.H.); (A.I.); (S.K.)
| | - Takeshi Matsuo
- Department of Neurosurgery, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (T.M.); (S.F.)
| | - So Fujimoto
- Department of Neurosurgery, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (T.M.); (S.F.)
| | - Hirofumi Kashii
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (H.K.); (A.H.); (A.I.); (S.K.)
| | - Ai Hoshino
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (H.K.); (A.H.); (A.I.); (S.K.)
| | - Akihiko Ishiyama
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (H.K.); (A.H.); (A.I.); (S.K.)
| | - Satoko Kumada
- Department of Neuropediatrics, Tokyo Metropolitan Neurological Hospital, Fuchu 183-0042, Japan; (H.K.); (A.H.); (A.I.); (S.K.)
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Xu C, Lin H, Xu J, Zhang X, Hao G, Liu QQ, Ding C, Wang S, Zhao Q, Bai X, Chen K, Ni D, Li Y, Yu T, Wang Y. Long-term outcomes and prognosis factors of vagus nerve stimulation in patients with refractory epilepsy. ACTA EPILEPTOLOGICA 2022. [DOI: 10.1186/s42494-022-00109-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Vagus nerve stimulation (VNS) is an effective treatment for patients with refractory epilepsy, yet with varied predictive factors and heterogeneous long-term outcomes. Adjustment of VNS parameters is critical for obtaining favorable efficacy. In this study, we aimed to investigate the long-term outcomes and the possible predictive factors of VNS in patients with refractory epilepsy.
Methods
Eighty-six patients (59 males and 27 females) who underwent VNS implantation for treatment of refractory epilepsy between May 2016 and May 2017 at five Epilepsy Centers were enrolled. The clinical data, including sex, age at epilepsy onset, VNS implantation, epilepsy duration, seizure type, MRI findings, history of neurosurgical operations, and responder rate (responders were those with ≥50% seizure reduction), were analyzed.
Results
Four-year follow-up data were available for 76 patients (53 males and 23 females). The mean current intensity at the last follow-up was 1.8 ± 0.3 mA (range: 0.75–2.5 mA). The mean seizure reduction was 36.2% at 6 months, 38.5% at 1 year, 69.4% at 3 years, and 56.7% at 4 years. A favorable outcome of ≥50% reduction in seizure frequency occurred in 40.0% of the patients at 6 months, 55.9% at 1 year with 4 patients being seizure-free, 63.2% at 3 years with 5 patients being seizure-free, and 68.4% at 4 years with 5 patients being seizure-free. Earlier onset age (P < 0.001) and shorter duration (P = 0.042) were associated with favorable prognosis. Compared with generalized tonic-clonic seizures, tonic seizures had a favorable outcome (P = 0.026). Twenty-three patients underwent neurosurgical operations before VNS implantation, and the responder rate was 60.9% at the last follow-up.
Conclusions
VNS is an adjunctive and effective treatment for patients with refractory epilepsy who are not good candidates for surgical resection or have failed to respond to surgical treatment. The stimulation efficacy increases over time after implantation, and earlier exposure to VNS improves the prognosis.
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Xue T, Chen S, Bai Y, Han C, Yang A, Zhang J. Neuromodulation in drug-resistant epilepsy: A review of current knowledge. Acta Neurol Scand 2022; 146:786-797. [PMID: 36063433 DOI: 10.1111/ane.13696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 08/16/2022] [Indexed: 11/30/2022]
Abstract
Nearly 1% of the global population suffers from epilepsy. Drug-resistant epilepsy (DRE) affects one-third of epileptic patients who are unable to treat their condition with existing drugs. For the treatment of DRE, neuromodulation offers a lot of potential. The background, mechanism, indication, application, efficacy, and safety of each technique are briefly described in this narrative review, with an emphasis on three approved neuromodulation therapies: vagus nerve stimulation (VNS), deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS), and closed-loop responsive neurostimulation (RNS). Neuromodulatory approaches involving direct or induced electrical currents have been developed to lessen seizure frequency and duration in patients with DRE since the notion of electrical stimulation as a therapy for neurologic diseases originated in the early nineteenth century. Although few people have attained total seizure independence for more than 12 months using these treatments, more than half have benefitted from a 50% drop in seizure frequency over time. Although promising outcomes in adults and children with DRE have been achieved, challenges such as heterogeneity among epilepsy types and etiologies, optimization of stimulation parameters, a lack of biomarkers to predict response to neuromodulation therapies, high-level evidence to aid decision-making, and direct comparisons between neuromodulatory approaches remain. To solve these existing gaps, authorize new kinds of neuromodulation, and develop personalized closed-loop treatments, further research is needed. Finally, both invasive and non-invasive neuromodulation seems to be safe. Implantation-related adverse events for invasive stimulation primarily include infection and pain at the implant site. Intracranial hemorrhage is a frequent adverse event for DBS and RNS. Other stimulation-specific side-effects are mild with non-invasive stimulation.
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Affiliation(s)
- Tao Xue
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shujun Chen
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yutong Bai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Chunlei Han
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Anchao Yang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jianguo Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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5
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Ma J, Wang Z, Cheng T, Hu Y, Qin X, Wang W, Yu G, Liu Q, Ji T, Xie H, Zha D, Wang S, Yang Z, Liu X, Cai L, Jiang Y, Hao H, Wang J, Li L, Wu Y. A prediction model integrating synchronization biomarkers and clinical features to identify responders to vagus nerve stimulation among pediatric patients with drug-resistant epilepsy. CNS Neurosci Ther 2022; 28:1838-1848. [PMID: 35894770 PMCID: PMC9532924 DOI: 10.1111/cns.13923] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/06/2022] [Accepted: 07/08/2022] [Indexed: 12/01/2022] Open
Abstract
Aims Vagus nerve stimulation (VNS) is a neuromodulation therapy for children with drug‐resistant epilepsy (DRE). The efficacy of VNS is heterogeneous. A prediction model is needed to predict the efficacy before implantation. Methods We collected data from children with DRE who underwent VNS implantation and received regular programming for at least 1 year. Preoperative clinical information and scalp video electroencephalography (EEG) were available in 88 children. Synchronization features, including phase lag index (PLI), weighted phase lag index (wPLI), and phase‐locking value (PLV), were compared between responders and non‐responders. We further adapted a support vector machine (SVM) classifier selected from 25 clinical and 18 synchronization features to build a prediction model for efficacy in a discovery cohort (n = 70) and was tested in an independent validation cohort (n = 18). Results In the discovery cohort, the average interictal awake PLI in the high beta band was significantly higher in responders than non‐responders (p < 0.05). The SVM classifier generated from integrating both clinical and synchronization features had the best prediction efficacy, demonstrating an accuracy of 75.7%, precision of 80.8% and area under the receiver operating characteristic (AUC) of 0.766 on 10‐fold cross‐validation. In the validation cohort, the prediction model demonstrated an accuracy of 61.1%. Conclusion This study established the first prediction model integrating clinical and baseline synchronization features for preoperative VNS responder screening among children with DRE. With further optimization of the model, we hope to provide an effective and convenient method for identifying responders before VNS implantation.
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Affiliation(s)
- Jiayi Ma
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Zhiyan Wang
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Tungyang Cheng
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Yingbing Hu
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Xiaoya Qin
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Wen Wang
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Guojing Yu
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Qingzhu Liu
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Taoyun Ji
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Han Xie
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Daqi Zha
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Shuang Wang
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Zhixian Yang
- Department of Pediatrics, Peking University First Hospital, Beijing, China
| | - Xiaoyan Liu
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Lixin Cai
- Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Yuwu Jiang
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
| | - Hongwei Hao
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China
| | - Jing Wang
- Beijing Key Laboratory of Epilepsy Research, Department of Neurology, Center of Epilepsy, Beijing Institute for Brain Disorders, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Luming Li
- National Engineering laboratory for Neuromodulation, School of Aerospace Engineering, Tsinghua University, Beijing, China.,Precision Medicine & Healthcare Research Center, Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen, China.,IDG/McGovern Institute for Brain Research, Tsinghua University, Beijing, China.,Institute of Epilepsy, Beijing Institute for Brain Disorders, Beijing, China
| | - Ye Wu
- Department of Pediatrics, Peking University First Hospital, Beijing, China.,Pediatric Epilepsy Center, Peking University First Hospital, Beijing, China
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6
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Liu S, Xiong Z, Wang J, Tang C, Deng J, Zhang J, Guo M, Guan Y, Zhou J, Zhai F, Luan G, Li T. Efficacy and potential predictors of vagus nerve stimulation therapy in refractory postencephalitic epilepsy. Ther Adv Chronic Dis 2022; 13:20406223211066738. [PMID: 35070253 PMCID: PMC8771757 DOI: 10.1177/20406223211066738] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Accepted: 11/24/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Vagus nerve stimulation (VNS) is a therapeutic approach for patients with refractory postencephalitic epilepsy (PEE), which is characterized by drug resistance and disappointing surgical outcomes. However, the efficacy of VNS has not yet been studied in patients with refractory PEE. The present study aimed to demonstrate the efficacy of VNS and evaluate potential clinical predictors in patients with refractory PEE. METHODS We retrospectively collected the outcomes of VNS with at least a 1-year follow-up in all patients with refractory PEE. Subgroups were classified as responders and non-responders according to the efficacy of VNS (⩾50% or < 50% reduction in seizure frequency). Preoperative data were analyzed to screen for potential predictors of VNS responsiveness. RESULTS A total of 42 refractory PEE patients who underwent VNS therapy were enrolled, with an average age of 21.13 ± 9.70 years. Seizure frequency was reduced by more than 50% in 64.25% of patients, and 7.14% of patients achieved seizure-free events after VNS therapy. In addition, the response rates increased over time, with 40.5%, 50.0% and 57.1%, respectively at 6 months, 12 months, and 24 months after VNS therapy. Preoperative duration of epilepsy, monthly seizure frequency, and spatial distribution of interictal epileptic discharges (IEDs) were correlated with responders (p < 0.05) in the univariate analysis. Further multivariate regression analysis demonstrated that refractory PEE patients with high monthly seizure frequency or Focal IEDs (focal or multifocal epileptiform discharges) achieved better efficacy on VNS (p = 0.010, p = 0.003, respectively). CONCLUSION VNS is an effective palliative therapy for patients with refractory PEE. Focal IEDs (focal or multifocal epileptiform discharges) and high seizure frequency were potential preoperative predictors of effectiveness after VNS therapy.
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Affiliation(s)
- Siqi Liu
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Zhonghua Xiong
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jing Wang
- Department of Neurology, Center of Epilepsy, Beijing Institute for Brain Disorders, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Chongyang Tang
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jiahui Deng
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jing Zhang
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Mengyi Guo
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Yuguang Guan
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Jian Zhou
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Feng Zhai
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Guoming Luan
- Department of Brain Institute, Center of Epilepsy, Beijing Institute for Brain Disorders, Beijing Key Laboratory of Epilepsy Research, Sanbo Brain Hospital, Capital Medical University, Beijing, China
| | - Tianfu Li
- Department of Neurology, Center of Epilepsy, Beijing Institute for Brain Disorders, Sanbo Brain Hospital, Capital Medical University, XiangshanYikesong 50, Haidian District, Beijing 100093, China
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Abstract
Three neuromodulation therapies, all using implanted device and electrodes, have been
approved to treat adults with drug-resistant focal epilepsy, namely, the vagus nerve
stimulation in 1995, deep brain stimulation of the anterior nucleus of the thalamus
(ANT-DBS) in 2018 (2010 in Europe), and responsive neurostimulation (RNS) in 2014.
Indications for VNS have more recently extended to children down to age of 4. Limited or
anecdotal data are available in other epilepsy syndromes and refractory/super-refractory
status epilepticus. Overall, neuromodulation therapies are palliative, with only a
minority of patients achieving long-term seizure freedom, justifying favoring such
treatments in patients who are not good candidates for curative epilepsy surgery. About
half of patients implanted with VNS, ANT-DBS, and RNS have 50% or greater reduction in
seizures, with long-term data suggesting increased efficacy over time. Besides their
impact on seizure frequency, neuromodulation therapies are associated with various
benefits and drawbacks in comparison to antiseizure drugs. Yet, we lack high-level
evidence to best position each neuromodulation therapy in the treatment pathways of
persons with difficult-to-treat epilepsy.
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Affiliation(s)
- Philippe Ryvlin
- Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland
| | - Lara E. Jehi
- Epilepsy Center, Cleveland Clinic, Cleveland, OH, USA
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8
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Ryvlin P, Rheims S, Hirsch LJ, Sokolov A, Jehi L. Neuromodulation in epilepsy: state-of-the-art approved therapies. Lancet Neurol 2021; 20:1038-1047. [PMID: 34710360 DOI: 10.1016/s1474-4422(21)00300-8] [Citation(s) in RCA: 101] [Impact Index Per Article: 33.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/22/2021] [Accepted: 09/03/2021] [Indexed: 12/20/2022]
Abstract
Three neuromodulation therapies have been appropriately tested and approved in refractory focal epilepsies: vagus nerve stimulation (VNS), deep brain stimulation of the anterior nucleus of the thalamus (ANT-DBS), and closed-loop responsive neurostimulation of the epileptogenic zone or zones. These therapies are primarily palliative. Only a few individuals have achieved complete freedom from seizures for more than 12 months with these therapies, whereas more than half have benefited from long-term reduction in seizure frequency of more than 50%. Implantation-related adverse events primarily include infection and pain at the implant site. Intracranial haemorrhage is a frequent adverse event for ANT-DBS and responsive neurostimulation. Other stimulation-specific side-effects are observed with VNS and ANT-DBS. Biomarkers to predict response to neuromodulation therapies are not available, and high-level evidence to aid decision making about when and for whom these therapies should be preferred over other antiepileptic treatments is scant. Future studies are thus needed to address these shortfalls in knowledge, approve other forms of neuromodulation, and develop personalised closed-loop therapies with embedded machine learning. Until then, neuromodulation could be considered for individuals with intractable seizures, ideally after the possibility of curative surgical treatment has been carefully assessed and ruled out or judged less appropriate.
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Affiliation(s)
- Philippe Ryvlin
- Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
| | - Sylvain Rheims
- Department of Functional Neurology and Epileptology, Hospices Civils de Lyon, Lyon 1 University Lyon Neuroscience Research Center, Institut National de la Santé et de la Recherche Médicale U1028/CNRS UMR 5292 Epilepsy Institute, Lyon, France
| | - Lawrence J Hirsch
- Comprehensive Epilepsy Center, Department of Neurology, Yale University School of Medicine, New Haven, CT, USA
| | - Arseny Sokolov
- Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Lara Jehi
- Epilepsy Center, Cleveland Clinic, Cleveland, OH, USA
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9
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Wang Y, Zhan G, Cai Z, Jiao B, Zhao Y, Li S, Luo A. Vagus nerve stimulation in brain diseases: Therapeutic applications and biological mechanisms. Neurosci Biobehav Rev 2021; 127:37-53. [PMID: 33894241 DOI: 10.1016/j.neubiorev.2021.04.018] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 04/12/2021] [Accepted: 04/18/2021] [Indexed: 12/21/2022]
Abstract
Brain diseases, including neurodegenerative, cerebrovascular and neuropsychiatric diseases, have posed a deleterious threat to human health and brought a great burden to society and the healthcare system. With the development of medical technology, vagus nerve stimulation (VNS) has been approved by the Food and Drug Administration (FDA) as an alternative treatment for refractory epilepsy, refractory depression, cluster headaches, and migraines. Furthermore, current evidence showed promising results towards the treatment of more brain diseases, such as Parkinson's disease (PD), autistic spectrum disorder (ASD), traumatic brain injury (TBI), and stroke. Nonetheless, the biological mechanisms underlying the beneficial effects of VNS in brain diseases remain only partially elucidated. This review aims to delve into the relevant preclinical and clinical studies and update the progress of VNS applications and its potential mechanisms underlying the biological effects in brain diseases.
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Affiliation(s)
- Yue Wang
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Gaofeng Zhan
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ziwen Cai
- Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Bo Jiao
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yilin Zhao
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Shiyong Li
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Ailin Luo
- Department of Anesthesiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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