Literature DB >> 29254835

Planning and management of SEEG.

Francine Chassoux1, Vincent Navarro2, Hélène Catenoix3, Luc Valton4, Jean-Pierre Vignal5.   

Abstract

Stereoelectroencephalography (SEEG) aims to define the epileptogenic zone (EZ), to study its relationship with functional areas and the causal lesion and to evaluate the possibility of surgical therapy. Planning of exploration is based on the validity of the hypotheses developed from electroclinical and imaging correlations. Further investigations can refine the implantation plan (e.g. fluorodeoxyglucose positron emission tomography [FDG-PET], single photon emission computerized tomography [SPECT], magnetoencephalography [MEG] and high resolution electroencephalography [EEG-HR]). The scheme is individualized according to the features of each clinical case, but a general approach can be systematized according to the regions involved (temporal versus extra-temporal), the existence of a lesion, its type and extent. It takes account of the hemispheric dominance for language if this can be determined. In "temporal plus" epilepsies, perisylvian and insular regions are among the key structures to investigate in addition to mesial and neocortical temporal areas. In frontal lobe epilepsies, determining the functional and anatomical organization of seizures (anterior versus posterior, mesial versus dorsolateral) allows better targeting of the implantation. Posterior epilepsies tend to have a complex organization leading to multilobar and often bilateral explorations. In lesional cases, it may be useful to implant one or several intralesional electrode(s), except in cases of vascular lesions or cyst. The strategy of implantation can be modified if thermocoagulations are considered. The management of SEEG implies continuous monitoring in a dedicated environment to determine the EZ with optimal safety conditions. This methodology includes spontaneous seizure recordings, low and high frequency stimulations and, if possible, sleep recording. SEEG is applicable in children, even the very young. Specific training of medical and paramedical teams is required.
Copyright © 2017 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Epilepsy surgery; Epileptogenic zone; Guidelines; Intracranial recordings; Stereo-EEG; Stereo-electroencephalography

Mesh:

Year:  2017        PMID: 29254835     DOI: 10.1016/j.neucli.2017.11.007

Source DB:  PubMed          Journal:  Neurophysiol Clin        ISSN: 0987-7053            Impact factor:   3.734


  6 in total

1.  18F-FDG PET in drug-resistant epilepsy due to focal cortical dysplasia type 2: additional value of electroclinical data and coregistration with MRI.

Authors:  Serge Desarnaud; Charles Mellerio; Franck Semah; Agathe Laurent; Elisabeth Landre; Bertrand Devaux; Catherine Chiron; Vincent Lebon; Francine Chassoux
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-03-29       Impact factor: 9.236

2.  Ictal onset stereoelectroencephalography patterns in temporal lobe epilepsy: type, distribution, and prognostic value.

Authors:  Deqiu Cui; Runshi Gao; Cuiping Xu; Hao Yan; Xiaohua Zhang; Tao Yu; Guojun Zhang
Journal:  Acta Neurochir (Wien)       Date:  2022-01-18       Impact factor: 2.216

3.  Technical Aspects of SEEG and Its Interpretation in the Delineation of the Epileptogenic Zone.

Authors:  Hui Ming Khoo; Jeffery A Hall; Francois Dubeau; Naoki Tani; Satoru Oshino; Yuya Fujita; Jean Gotman; Haruhiko Kishima
Journal:  Neurol Med Chir (Tokyo)       Date:  2020-11-06       Impact factor: 1.742

4.  Intracranial monitoring contributes to seizure freedom for temporal lobectomy patients with nonconcordant preoperative data.

Authors:  Elisaveta Sokolov; Nathaniel D Sisterson; Helweh Hussein; Cheryl Plummer; Danielle Corson; Arun R Antony; Joseph M Mettenburg; Gena R Ghearing; Jullie W Pan; Alexandra Urban; Anto Bagić; R Mark Richardson; Vasileios Kokkinos
Journal:  Epilepsia Open       Date:  2021-11-16

5.  Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features.

Authors:  Jia-Jie Mo; Jian-Guo Zhang; Wen-Ling Li; Chao Chen; Na-Jing Zhou; Wen-Han Hu; Chao Zhang; Yao Wang; Xiu Wang; Chang Liu; Bao-Tian Zhao; Jun-Jian Zhou; Kai Zhang
Journal:  Front Neurosci       Date:  2019-01-11       Impact factor: 4.677

6.  sEEG for expansion of a surgical epilepsy program: Safety and efficacy in 152 consecutive cases.

Authors:  Christopher Miller; Bryan Schatmeyer; Patrick Landazuri; Utku Uysal; Jules Nazzaro; Michael J Kinsman; Paul J Camarata; Carol M Ulloa; Nancy Hammond; Caleb Pearson; Vishal Shah; Jennifer J Cheng
Journal:  Epilepsia Open       Date:  2021-10-30
  6 in total

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