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Bello ST, Xu S, Li X, Ren J, Jendrichovsky P, Jiang F, Xiao Z, Wan X, Chen X, He J. Visually or auditorily induced seizures involve the activation of nonhippocampal brain areas and hippocampal removal does not alleviate seizures in a mouse model of temporal lobe epilepsy. Epilepsia 2024; 65:218-237. [PMID: 38032046 DOI: 10.1111/epi.17816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 10/28/2023] [Accepted: 10/31/2023] [Indexed: 12/01/2023]
Abstract
OBJECTIVE Several studies have attributed epileptic activities in temporal lobe epilepsy (TLE) to the hippocampus; however, the participation of nonhippocampal neuronal networks in the development of TLE is often neglected. Here, we sought to understand how these nonhippocampal networks are involved in the pathology that is associated with TLE disease. METHODS A kainic acid (KA) model of temporal lobe epilepsy was induced by injecting KA into dorsal hippocampus of C57BL/6J mice. Network activation after spontaneous seizure was assessed using c-Fos expression. Protocols to induce seizure using visual or auditory stimulation were developed, and seizure onset zone (SOZ) and frequency of epileptic spikes were evaluated using electrophysiology. The hippocampus was removed to assess seizure recurrence in the absence of hippocampus. RESULTS Our results showed that cortical and hippocampal epileptic networks are activated during spontaneous seizures. Perturbation of these networks using visual or auditory stimulation readily precipitates seizures in TLE mice; the frequency of the light-induced or noise-induced seizures depends on the induction modality adopted during the induction period. Localization of SOZ revealed the existence of cortical and hippocampal SOZ in light-induced and noise-induced seizures, and the development of local and remote epileptic spikes in TLE occurs during the early stage of the disease. Importantly, we further discovered that removal of the hippocampi does not stop seizure activities in TLE mice, revealing that seizures in TLE mice can occur independent of the hippocampus. SIGNIFICANCE This study has shown that the network pathology that evolves in TLE is not localized to the hippocampus; rather, remote brain areas are also recruited. The occurrence of light-induced or noise-induced seizures and epileptic discharges in epileptic mice is a consequence of the activation of nonhippocampal brain areas. This work therefore demonstrates the fundamental role of nonhippocampal epileptic networks in generating epileptic activities with or without the hippocampus in TLE disease.
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Affiliation(s)
- Stephen Temitayo Bello
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
- Department of Biomedical Science, City University of Hong Kong, Kowloon, Hong Kong
- Center for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, New Territories, Hong Kong
| | - Shenghui Xu
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
- Department of Biomedical Science, City University of Hong Kong, Kowloon, Hong Kong
| | - Xiao Li
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
| | - Junming Ren
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
| | - Peter Jendrichovsky
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
- Department of Biomedical Science, City University of Hong Kong, Kowloon, Hong Kong
| | - Feixu Jiang
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
- Center for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, New Territories, Hong Kong
| | - Zhoujian Xiao
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
| | - Xiaoxiao Wan
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
| | - Xi Chen
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
| | - Jufang He
- Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong
- Department of Biomedical Science, City University of Hong Kong, Kowloon, Hong Kong
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Warsi NM, Mohammad AH, Zhang F, Wong SM, Yan H, Mansouri A, Ibrahim GM. Electrocorticography-Guided Resection Enhances Postoperative Seizure Freedom in Low-Grade Tumor-Associated Epilepsy: A Systematic Review and Meta-Analysis. Neurosurgery 2023; 92:18-26. [PMID: 36519857 DOI: 10.1227/neu.0000000000002182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 08/10/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Low-grade cerebral neoplasms are commonly associated with medically intractable epilepsy. Despite increasing evidence that epileptogenic brain regions commonly extend beyond visible tumor margins, the utility of extended surgical resections leveraging intraoperative electrocorticography (ECoG) remains unclear. OBJECTIVE To determine whether ECoG-guided surgery is associated with improved postoperative seizure control. METHODS We performed a systematic review and meta-analysis encompassing both adult and pediatric populations. The primary outcome measure was postoperative seizure freedom as defined by Engel class I outcome. Class I/II outcome served as a secondary measure. Relevant clinical and operative data were recorded. A random-effects meta-analysis based on the pooled odds ratio (OR) of seizure freedom was performed on studies that reported comparative data between ECoG-guided surgery and lesionectomy. RESULTS A total of 31 studies encompassing 1115 patients with medically refractory epilepsy met inclusion criteria. Seven studies reported comparative data between ECoG-guided surgery and lesionectomy for meta-analysis. Tumor resection guided by ECoG was associated with significantly greater postoperative seizure freedom (OR 3.95, 95% CI 2.32-6.72, P < .0001) and class I/II outcome (OR 5.10, 95% CI 1.97-13.18, P = .0008) compared with lesionectomy. Postoperative adverse events were rare in both groups. CONCLUSION These findings provide support for the utilization of ECoG-guided surgery to improve postoperative seizure freedom in cases of refractory epilepsy associated with low-grade neoplasms. However, this effect may be attenuated in the presence of concomitant cortical dysplasia, highlighting a need for improved presurgical and intraoperative monitoring for these most challenging cases of localization-related epilepsy.
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Affiliation(s)
- Nebras M Warsi
- Division of Neurosurgery, Department of Surgery, University of Toronto, Ontario, Canada.,Division of Neurosurgery, Hospital for Sick Children, University of Toronto, Ontario, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Amro H Mohammad
- Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada
| | | | - Simeon M Wong
- Division of Neurosurgery, Hospital for Sick Children, University of Toronto, Ontario, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Han Yan
- Division of Neurosurgery, Department of Surgery, University of Toronto, Ontario, Canada.,Division of Neurosurgery, Hospital for Sick Children, University of Toronto, Ontario, Canada
| | - Alireza Mansouri
- Penn State Cancer Institute, Department of Neurosurgery, Penn State Health Milton S. Hershey Medical Center, Pennsylvania, USA
| | - George M Ibrahim
- Division of Neurosurgery, Department of Surgery, University of Toronto, Ontario, Canada.,Division of Neurosurgery, Hospital for Sick Children, University of Toronto, Ontario, Canada.,Department of Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada
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McIntosh AM, Wynd AW, Berkovic SF. Extended follow-up after anterior temporal lobectomy demonstrates seizure recurrence 20+ years postsurgery. Epilepsia 2023; 64:92-102. [PMID: 36268808 PMCID: PMC10098858 DOI: 10.1111/epi.17440] [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: 09/11/2022] [Revised: 10/19/2022] [Accepted: 10/19/2022] [Indexed: 01/21/2023]
Abstract
OBJECTIVE Anterior temporal lobectomy (ATL) for medication-resistant localized epilepsy results in ablation or reduction of seizures for most patients. However, some individuals who attain an initial extended period of postsurgical seizure freedom will experience a later seizure recurrence. In this study, we examined the prevalence and some risk factors for late recurrence in an ATL cohort with extensive regular follow-up. METHODS Included were 449 patients who underwent ATL at Austin Health, Australia, from 1978 to 2008. Postsurgical follow-up was undertaken 2-3 yearly. Seizure recurrence was tested using Kaplan-Meier analysis, log-rank test, and Cox regression. Late recurrence was qualified as a first disabling seizure >2 years postsurgery. We examined risks within the ATL cohort according to broad pathology groups and tested whether late recurrence differed for the ATL cohort compared to patients who had resections outside the temporal lobe (n = 98). RESULTS Median post-ATL follow-up was 22 years (range = .1-38.6), 6% were lost to follow-up, and 12% had died. Probabilities for remaining completely seizure-free after surgery were 51% (95% confidence interval [CI] = 53-63) at 2 postoperative years, 36% (95% CI = 32-41) at 10 years, 32% (95% CI = 27-36) at 20 years, and 30% (95% CI = 25-34) at 25 years. Recurrences were reported up to 23 years postoperatively. Late seizures occurred in all major ATL pathology groups, with increased risk in the "normal" and "distant lesion" groups (p ≤ .03). Comparison between the ATL cohort and patients who underwent extratemporal resection demonstrated similar patterns of late recurrence (p = .74). SIGNIFICANCE Some first recurrences were very late, reported decades after ATL. Late recurrences were not unique to any broad ATL pathology group and did not differ according to whether resections were ATL or extratemporal. Reports of these events by patients with residual pathology suggest that potentially epileptogenic abnormalities outside the area of resection may be implicated as one of several possible underlying mechanisms.
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Affiliation(s)
- Anne M McIntosh
- Epilepsy Research Centre, Department of Medicine (Austin Health), University of Melbourne, Melbourne, Victoria, Australia.,Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Health, Melbourne, Victoria, Australia.,Melbourne Brain Centre at Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Alex W Wynd
- Epilepsy Research Centre, Department of Medicine (Austin Health), University of Melbourne, Melbourne, Victoria, Australia.,Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Health, Melbourne, Victoria, Australia
| | - Samuel F Berkovic
- Epilepsy Research Centre, Department of Medicine (Austin Health), University of Melbourne, Melbourne, Victoria, Australia.,Bladin-Berkovic Comprehensive Epilepsy Program, Department of Neurology, Austin Health, Melbourne, Victoria, Australia
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Zhang R, Chen Y, He J, Gou HY, Zhu YL, Zhu YM. WGCNA combined with GSVA to explore biomarkers of refractory neocortical epilepsy. IBRO Neurosci Rep 2022; 13:314-321. [PMID: 36247523 PMCID: PMC9561751 DOI: 10.1016/j.ibneur.2022.09.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
About two-thirds of epilepsy patients relapse within five years after surgery. It is significant to note that the limitations of current treatments stem from a lack of understanding of molecular mechanisms. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) and Gene set variation analysis (GSVA) methods were used to analyze the total RNA data from 20 surgical removal samples (epileptogenic zone and irritative zone, EZ and IZ) of 10 Chinese patients with refractory neocortical epilepsy downloaded from the original microarray dataset (GSE31718) of the National Center for Biological Information -Gene Expression Omnibus database (NCBI-GEO). The late stages of the estrogen response pathway, the IL6-JAK-STAT3-signal pathway and G2 checkpoints are correlated with the EZ, whereas the early stages of the estrogen response pathway and TGF-β signal are more strongly expressed in the IZ. The allogeneic rejection, apical surface and the TGF-β signal are relevant to the high seizure frequency, the unfolded protein response and MYC-target are mostly expressed in patients with low-frequency seizures. Genes with high gene significance(GS) values that were correlated with seizure frequency include OSR2, CABP4, CAPSL, CYP4F8, and FRK in the pink module, and SH3GLB2, CHAC1 and DDX23 in the yellow module. The occurrence of EZ and IZ act on different biological mechanisms. The upregulated genes associated with seizure frequency include OSR2, CABP4, CAPSL, CYP4F8, and FRK, and the downregulated genes include SH3GLB2, CHAC1 and DDX23. The evidence of key genes and differential pathways obtained by WGCNA and GSVA may be biomarkers for novel preventive and pharmacological interventions in clinical practice. The study listed different pathways between the epileptogenic zone and irritative zone. The study listed different pathways between high seizure frequency and low seizure frequency. The upregulated and downregulated genes associated with seizure frequency were identified.
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Affiliation(s)
- Rui Zhang
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China
| | - Yan Chen
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China
| | - Jia He
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China
| | - Hai-yan Gou
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China
| | - Yu-lan Zhu
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China
| | - Yan-mei Zhu
- Department of Epilepsy and Sleep Disorder, Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, 150086, Harbin, China,Corresponding author.
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Dimakopoulos V, Gotman J, Stacey W, von Ellenrieder N, Jacobs J, Papadelis C, Cimbalnik J, Worrell G, Sperling MR, Zijlmans M, Imbach L, Frauscher B, Sarnthein J. Protocol for multicentre comparison of interictal high-frequency oscillations as a predictor of seizure freedom. Brain Commun 2022; 4:fcac151. [PMID: 35770134 PMCID: PMC9234061 DOI: 10.1093/braincomms/fcac151] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 04/29/2022] [Accepted: 06/07/2022] [Indexed: 11/17/2022] Open
Abstract
In drug-resistant focal epilepsy, interictal high-frequency oscillations (HFOs) recorded from intracranial EEG (iEEG) may provide clinical information for delineating epileptogenic brain tissue. The iEEG electrode contacts that contain HFO are hypothesized to delineate the epileptogenic zone; their resection should then lead to postsurgical seizure freedom. We test whether our prospective definition of clinically relevant HFO is in agreement with postsurgical seizure outcome. The algorithm is fully automated and is equally applied to all data sets. The aim is to assess the reliability of the proposed detector and analysis approach. We use an automated data-independent prospective definition of clinically relevant HFO that has been validated in data from two independent epilepsy centres. In this study, we combine retrospectively collected data sets from nine independent epilepsy centres. The analysis is blinded to clinical outcome. We use iEEG recordings during NREM sleep with a minimum of 12 epochs of 5 min of NREM sleep. We automatically detect HFO in the ripple (80-250 Hz) and in the fast ripple (250-500 Hz) band. There is no manual rejection of events in this fully automated algorithm. The type of HFO that we consider clinically relevant is defined as the simultaneous occurrence of a fast ripple and a ripple. We calculate the temporal consistency of each patient's HFO rates over several data epochs within and between nights. Patients with temporal consistency <50% are excluded from further analysis. We determine whether all electrode contacts with high HFO rate are included in the resection volume and whether seizure freedom (ILAE 1) was achieved at ≥2 years follow-up. Applying a previously validated algorithm to a large cohort from several independent epilepsy centres may advance the clinical relevance and the generalizability of HFO analysis as essential next step for use of HFO in clinical practice.
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Affiliation(s)
- Vasileios Dimakopoulos
- Klinik für Neurochirurgie, UniversitätsSpital Zürich, Universität Zürich, Zürich, Switzerland
| | - Jean Gotman
- Montreal Neurological Institute & Hospital, McGill University, Montreal, Quebec, Canada
| | - William Stacey
- Department of Neurology and Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, MI, USA
| | | | - Julia Jacobs
- Alberta Children’s Hospital, University of Calgary, Calgary, Canada
| | | | - Jan Cimbalnik
- St. Anne’s University Hospital, Brno, Czech Republic
| | | | - Michael R Sperling
- Department of Neurology, Jefferson University Hospitals, Philadelphia, PA, USA
| | - Maike Zijlmans
- University Medical Center, Utrecht, and Stichting Epilepsie Instellingen Nederland (SEIN), Utrecht, The Netherlands
| | - Lucas Imbach
- Schweizerisches Epilepsie Zentrum, Zurich, Switzerland
| | - Birgit Frauscher
- Montreal Neurological Institute & Hospital, McGill University, Montreal, Quebec, Canada
| | - Johannes Sarnthein
- Klinik für Neurochirurgie, UniversitätsSpital Zürich, Universität Zürich, Zürich, Switzerland
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Burelo K, Sharifshazileh M, Indiveri G, Sarnthein J. Automatic Detection of High-Frequency Oscillations With Neuromorphic Spiking Neural Networks. Front Neurosci 2022; 16:861480. [PMID: 35720714 PMCID: PMC9205405 DOI: 10.3389/fnins.2022.861480] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
Interictal high-frequency oscillations (HFO) detected in electroencephalography recordings have been proposed as biomarkers of epileptogenesis, seizure propensity, disease severity, and treatment response. Automatic HFO detectors typically analyze the data offline using complex time-consuming algorithms, which limits their clinical application. Neuromorphic circuits offer the possibility of building compact and low-power processing systems that can analyze data on-line and in real time. In this review, we describe a fully automated detection pipeline for HFO that uses, for the first time, spiking neural networks and neuromorphic technology. We demonstrated that our HFO detection pipeline can be applied to recordings from different modalities (intracranial electroencephalography, electrocorticography, and scalp electroencephalography) and validated its operation in a custom-designed neuromorphic processor. Our HFO detection approach resulted in high accuracy and specificity in the prediction of seizure outcome in patients implanted with intracranial electroencephalography and electrocorticography, and in the prediction of epilepsy severity in patients recorded with scalp electroencephalography. Our research provides a further step toward the real-time detection of HFO using compact and low-power neuromorphic devices. The real-time detection of HFO in the operation room may improve the seizure outcome of epilepsy surgery, while the use of our neuromorphic processor for non-invasive therapy monitoring might allow for more effective medication strategies to achieve seizure control. Therefore, this work has the potential to improve the quality of life in patients with epilepsy by improving epilepsy diagnostics and treatment.
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Affiliation(s)
- Karla Burelo
- Klinik für Neurochirurgie, UniversitätsSpital Zürich, Universität Zürich, Zurich, Switzerland
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland
| | | | - Giacomo Indiveri
- Institute of Neuroinformatics, University of Zurich and ETH Zurich, Zurich, Switzerland
- Zentrum für Neurowissenschaften Zurich, ETH und Universität Zürich, Zurich, Switzerland
| | - Johannes Sarnthein
- Klinik für Neurochirurgie, UniversitätsSpital Zürich, Universität Zürich, Zurich, Switzerland
- Zentrum für Neurowissenschaften Zurich, ETH und Universität Zürich, Zurich, Switzerland
- *Correspondence: Johannes Sarnthein,
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Barba C, Rheims S, Minotti L, Grisotto L, Chabardès S, Guenot M, Isnard J, Pellacani S, Hermier M, Ryvlin P, Kahane P. Surgical outcome of temporal plus epilepsy is improved by multilobar resection. Epilepsia 2022; 63:769-776. [PMID: 35165888 DOI: 10.1111/epi.17185] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 01/28/2022] [Accepted: 01/28/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Temporal plus epilepsy (TPE) represents a rare type of epilepsy characterized by a complex epileptogenic zone including the temporal lobe and the close neighboring structures. We investigated whether the complete resection of temporal plus epileptogenic zone as defined through stereoelectroencephalography (SEEG) might improve seizure outcome in 38 patients with TPE. METHODS Inclusion criteria were as follows: epilepsy surgery performed between January 1990 and December 2001, SEEG defining a temporal plus epileptogenic zone, unilobar temporal operations ("temporal lobe epilepsy [TLE] surgery") or multilobar interventions including the temporal lobe ("TPE surgery"), magnetic resonance imaging either normal or showing signs of hippocampal sclerosis, and postoperative follow-up of at least 12 months. For each assessment of postoperative seizure outcome, at 1, 2, 5, and 10 years, we carried out descriptive analysis and classical tests of hypothesis, namely, Pearson χ2 test or Fisher exact test of independence on tables of frequency for each categorical variable of interest and Student t-test for each continuous variable of interest, when appropriate. RESULTS Twenty-one patients underwent TPE surgery and 17 underwent TLE surgery with a follow-up of 12.4 ± 8.16 years. In the multivariate models, there was a significant effect of the time from surgery on Engel Class IA versus IB-IV outcome, with a steadily worsening trend from 5-year follow-up onward. TPE surgery was associated with better results than TLE surgery. SIGNIFICANCE This study suggests that surgical outcome in patients with TPE can be improved by a tailored, multilobar resection and confirms that SEEG is mandatory when a TPE is suspected.
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Affiliation(s)
- Carmen Barba
- Neuroscience Department, Meyer Children's Hospital-University of Florence, member of the ERN EpiCARE, Florence, Italy
| | - Sylvain Rheims
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Lyon, France.,Department of Functional Neurology and Epileptology, Hospices Civils de Lyon and University of Lyon, member of the ERN EpiCARE, Lyon, France.,Lyon 1 University, Lyon, France
| | - Lorella Minotti
- CHU Grenoble Alpes, Univ. Grenoble-Alpes, Inserm, U1216, Grenoble Institut Neurosciences, Grenoble, France
| | - Laura Grisotto
- Department of Statistics, Computer Science, G. Parenti Application, University of Florence, Florence, Italy
| | - Stéphan Chabardès
- CHU Grenoble Alpes, Univ. Grenoble-Alpes, Inserm, U1216, Grenoble Institut Neurosciences, Grenoble, France
| | - Marc Guenot
- Department of Functional Neurology and Epileptology, Hospices Civils de Lyon and University of Lyon, member of the ERN EpiCARE, Lyon, France.,Department of Functional Neurosurgery, Hospices Civils de Lyon, Lyon, France
| | - Jean Isnard
- Lyon Neuroscience Research Center, INSERM U1028, CNRS UMR5292, Lyon, France.,Department of Functional Neurology and Epileptology, Hospices Civils de Lyon and University of Lyon, member of the ERN EpiCARE, Lyon, France
| | - Simona Pellacani
- Neuroscience Department, Meyer Children's Hospital-University of Florence, member of the ERN EpiCARE, Florence, Italy
| | - Marc Hermier
- Department of Neuroradiology, Hospices Civils de Lyon, Lyon, France
| | - Philippe Ryvlin
- Department of Clinical Neurosciences, Vaudois University Hospital Center, University of Lausanne, Lausanne, Switzerland
| | - Philippe Kahane
- CHU Grenoble Alpes, Univ. Grenoble-Alpes, Inserm, U1216, Grenoble Institut Neurosciences, Grenoble, France
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