Literature DB >> 32544836

Identifying the epileptogenic zone by four non-invasive imaging techniques versus stereo-EEG in MRI-negative pre-surgery epilepsy patients.

Davide Rossi Sebastiano1, Laura Tassi2, Dunja Duran3, Elisa Visani3, Francesca Gozzo2, Francesco Cardinale2, Lino Nobili4, Angelo Del Sole5, Annalisa Rubino2, Sara Dotta6, Elena Schiaffi6, Rita Garbelli3, Silvana Franceschetti3, Roberto Spreafico3, Ferruccio Panzica3.   

Abstract

OBJECTIVE: We evaluated four imaging techniques, i.e. Electroencephalography (EEG)-functional Magnetic Resonance Imaging (MRI) (EEG-fMRI), High-resolution EEG (HR-EEG), Magnetoencephalography (MEG) and 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (PET), for the identification of the epileptogenic zone (EZ) in 41 patients with negative MRI, candidate to neurosurgery.
METHODS: For each technique, results were compared to the Stereo-EEG. Diagnostic measures were calculated with respect to the post-surgical outcome, either for all the patients (39/41, two patients excluded) and for the subgroup of patients with the EZ involving more than one lobe (20/41).
RESULTS: When considered individually, each functional technique showed accuracy values ranging 54,6%-63,2%, having PET, MEG and HR-EEG higher sensitivity, and EEG-fMRI higher specificity. In patients with multilobar epileptogenic zone, functional techniques achieved the best accuracies (up to 80%) when three techniques, including EEG-fMRI, were considered together.
CONCLUSIONS: The study highlights the accuracy of a combination of functional imaging techniques in the identification of EZ in MRI negative focal epilepsy. The best diagnostic yield was obtained if the combination of PET, MEG (or HR-EEG as alternative), EEG-fMRI were considered together. SIGNIFICANCE: The functional imaging techniques may improve the presurgical workup of MRI negative focal epilepsy, if epileptogenic zone involves more than one lobe.
Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EEG-fMRI; Epilepsy surgery; HR-EEG; MEG; PET

Mesh:

Year:  2020        PMID: 32544836     DOI: 10.1016/j.clinph.2020.05.015

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  11 in total

1.  Individual localization value of resting-state fMRI in epilepsy presurgical evaluation: A combined study with stereo-EEG.

Authors:  Yingying Tang; Joon Yul Choi; Andreas Alexopoulos; Hiroatsu Murakami; Masako Daifu-Kobayashi; Qin Zhou; Imad Najm; Stephen E Jones; Zhong Irene Wang
Journal:  Clin Neurophysiol       Date:  2021-08-30       Impact factor: 3.708

2.  Association of EEG-fMRI Responses and Outcome After Epilepsy Surgery.

Authors:  Andreas Koupparis; Nicolás von Ellenrieder; Hui Ming Khoo; Natalja Zazubovits; Dang Khoa Nguyen; Jeffery A Hall; Roy W R Dudley; Francois Dubeau; Jean Gotman
Journal:  Neurology       Date:  2021-08-16       Impact factor: 11.800

3.  Comparison of Qualitative and Quantitative Analyses of MR-Arterial Spin Labeling Perfusion Data for the Assessment of Pediatric Patients with Focal Epilepsies.

Authors:  Domenico Tortora; Matteo Cataldi; Mariasavina Severino; Alessandro Consales; Mattia Pacetti; Costanza Parodi; Fiammetta Sertorio; Antonia Ramaglia; Erica Cognolato; Giulia Nobile; Margherita Mancardi; Giulia Prato; Laura Siri; Thea Giacomini; Pasquale Striano; Dario Arnaldi; Gianluca Piatelli; Andrea Rossi; Lino Nobili
Journal:  Diagnostics (Basel)       Date:  2022-03-25

4.  Clinical Yield of Electromagnetic Source Imaging and Hemodynamic Responses in Epilepsy: Validation With Intracerebral Data.

Authors:  Chifaou Abdallah; Tanguy Hedrich; Andreas Koupparis; Jawata Afnan; Jeffrey Alan Hall; Jean Gotman; Francois Dubeau; Nicolas von Ellenrieder; Birgit Frauscher; Eliane Kobayashi; Christophe Grova
Journal:  Neurology       Date:  2022-04-26       Impact factor: 11.800

5.  PET/MRI in the Presurgical Evaluation of Patients with Epilepsy: A Concordance Analysis.

Authors:  Katalin Borbély; Miklós Emri; István Kenessey; Márton Tóth; Júlia Singer; Péter Barsi; Zsolt Vajda; Endre Pál; Zoltán Tóth; Thomas Beyer; Tamás Dóczi; Gábor Bajzik; Dániel Fabó; József Janszky; Zsófia Jordán; Dániel Fajtai; Anna Kelemen; Vera Juhos; Max Wintermark; Ferenc Nagy; Mariann Moizs; Dávid Nagy; János Lückl; Imre Repa
Journal:  Biomedicines       Date:  2022-04-20

6.  fMRI-Based Effective Connectivity in Surgical Remediable Epilepsies: A Pilot Study.

Authors:  A E Vaudano; L Mirandola; F Talami; G Giovannini; G Monti; P Riguzzi; L Volpi; R Michelucci; F Bisulli; E Pasini; P Tinuper; L Di Vito; G Gessaroli; M Malagoli; G Pavesi; F Cardinale; L Tassi; L Lemieux; S Meletti
Journal:  Brain Topogr       Date:  2021-06-21       Impact factor: 3.020

7.  Localizing Epileptic Foci Before Surgery in Patients With MRI-Negative Refractory Epilepsy Using Statistical Parameter Mapping and Three-Dimensional Stereotactic Surface Projection Based on 18F-FDG PET.

Authors:  Hailing Zhou; Wei Zhang; Zhiqiang Tan; Ziqing Zhou; Ying Li; Shaojuan Zhang; Lingling Zhang; Jiefeng Gan; Huanhua Wu; Yongjin Tang; Yong Cheng; Xueying Ling; Qiang Guo; Hao Xu
Journal:  Front Bioeng Biotechnol       Date:  2022-01-05

8.  Identifying epilepsy based on machine-learning technique with diffusion kurtosis tensor.

Authors:  Li Kang; Jin Chen; Jianjun Huang; Tijiang Zhang; Jiahui Xu
Journal:  CNS Neurosci Ther       Date:  2021-12-23       Impact factor: 5.243

Review 9.  Dynamical Network Models From EEG and MEG for Epilepsy Surgery-A Quantitative Approach.

Authors:  Miao Cao; Simon J Vogrin; Andre D H Peterson; William Woods; Mark J Cook; Chris Plummer
Journal:  Front Neurol       Date:  2022-03-29       Impact factor: 4.003

10.  Interictal Epileptiform Discharge Dynamics in Peri-sylvian Polymicrogyria Using EEG-fMRI.

Authors:  Noa Cohen; Yoram Ebrahimi; Mordekhay Medvedovsky; Guy Gurevitch; Orna Aizenstein; Talma Hendler; Firas Fahoum; Tomer Gazit
Journal:  Front Neurol       Date:  2021-06-03       Impact factor: 4.003

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