Literature DB >> 28386926

Extratemporal resections in pediatric epilepsy surgery-an overview.

Jeffrey P Blount1.   

Abstract

Despite optimized medical treatment, approximately one third of all patients with epilepsy continue to have seizures and by definition have medically resistant epilepsy (MRE). For these patients, surgical disruption of the epileptogenic network may enable freedom or great improvement in control of their seizures. The success of surgery is dependent on accurate localization of the epileptogenic zone and network. Epilepsy arising from regions of cortical dysplasia within the neocortex of the frontal, parietal, and occipital lobes show a propensity for reorganization and progressive decline in seizure freedom and consequent poorer surgical outcome. These procedures often require staged investigation with intracranial electrodes via subdural grids or stereoelectroencephalography (SEEG) and are considered extratemporal resections (ETRs). Central concepts include the following: (1) localization of epileptogenic and eloquent functional regions, (2) safe and effective placement of intracranial electrode arrays, (3) resection of epileptogenic cortex, and (4) avoidance of complications. Each of these concepts is summarized and developed in this summary paper. Wiley Periodicals, Inc.
© 2017 International League Against Epilepsy.

Entities:  

Keywords:  Extratemporal; Grid; Pediatric epilepsy surgery

Mesh:

Year:  2017        PMID: 28386926     DOI: 10.1111/epi.13680

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  3 in total

1.  18F-FDG PET and high-resolution MRI co-registration for pre-surgical evaluation of patients with conventional MRI-negative refractory extra-temporal lobe epilepsy.

Authors:  Yao Ding; Yuankai Zhu; Biao Jiang; Yongji Zhou; Bo Jin; Haifeng Hou; Shuang Wu; Junming Zhu; Zhong Irene Wang; Chong H Wong; Meiping Ding; Hong Zhang; Shuang Wang; Mei Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-18       Impact factor: 9.236

2.  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

3.  Surgical Outcome in Extratemporal Epilepsies Based on Multimodal Pre-Surgical Evaluation and Sequential Intraoperative Electrocorticography.

Authors:  Lilia María Morales Chacón; Judith González González; Martha Ríos Castillo; Sheila Berrillo Batista; Karla Batista García-Ramo; Aisel Santos Santos; Nelson Quintanal Cordero; Marilyn Zaldívar Bermúdez; Randis Garbey Fernández; Bárbara Estupiñan Díaz; Zenaida Hernández Díaz; Juan E Bender Del Busto; Abel Sánchez Coroneux; Margarita M Báez Martin; Lourdes Lorigados Pedre
Journal:  Behav Sci (Basel)       Date:  2021-03-04
  3 in total

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