Literature DB >> 31466846

Diagnostic added value of electrical source imaging in presurgical evaluation of patients with epilepsy: A prospective study.

Mette Thrane Foged1, Terje Martens2, Lars H Pinborg3, Nizar Hamrouni2, Minna Litman4, Guido Rubboli5, Anne-Mette Leffers6, Philippe Ryvlin7, Bo Jespersen8, Olaf B Paulson1, Martin Fabricius9, Sándor Beniczky10.   

Abstract

OBJECTIVE: To investigate the diagnostic added value of electrical source imaging (ESI) in presurgical evaluation of patients with drug resistant focal epilepsy.
METHODS: Eighty-two consecutive patients were included. We analyzed both low density (LD) and high density (HD) EEG recordings. LD ESI was done on interictal and ictal signals recorded during long-term video-EEG monitoring (LTM), with standard 25 electrodes and age-matched template head models. HD ESI was done on shorter recordings (90-120 min), with 256 electrodes, using individual head model. The multidisciplinary team made decisions first blinded to ESI (based on all other modalities) and then discussed the results of the ESI. We considered that ESI had diagnostic added value, when it provided non-redundant information that changed the patientś management plan.
RESULTS: ESI had diagnostic added value in 28 patients (34%). In most cases (85.7%), these changes were related to planning of the invasive recordings. In nine out of 13 patients, invasive recordings confirmed the localization. Out of eight patients in whom the ESI source was resected, six became seizure-free.
CONCLUSIONS: ESI provides non-redundant information in one third of the patients undergoing presurgical evaluation. SIGNIFICANCE: This study provides evidence for the diagnostic added value of ESI in presurgical evaluation.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diagnostic added value; Electrical source imaging; Epilepsy surgery; High density EEG; Long term video EEG monitoring

Mesh:

Year:  2019        PMID: 31466846     DOI: 10.1016/j.clinph.2019.07.031

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


  4 in total

1.  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

2.  Source imaging of seizure onset predicts surgical outcome in pediatric epilepsy.

Authors:  Lorenzo Ricci; Eleonora Tamilia; Michel Alhilani; Aliza Alter; Μ Scott Perry; Joseph R Madsen; Jurriaan M Peters; Phillip L Pearl; Christos Papadelis
Journal:  Clin Neurophysiol       Date:  2021-04-28       Impact factor: 4.861

3.  Automated seizure activity tracking and onset zone localization from scalp EEG using deep neural networks.

Authors:  Jeff Craley; Christophe Jouny; Emily Johnson; David Hsu; Raheel Ahmed; Archana Venkataraman
Journal:  PLoS One       Date:  2022-02-28       Impact factor: 3.240

4.  Multimodal combination of neuroimaging methods for localizing the epileptogenic zone in MR-negative epilepsy.

Authors:  Pavel Říha; Irena Doležalová; Radek Mareček; Martin Lamoš; Michaela Bartoňová; Martin Kojan; Michal Mikl; Martin Gajdoš; Lubomír Vojtíšek; Marek Bartoň; Ondřej Strýček; Martin Pail; Milan Brázdil; Ivan Rektor
Journal:  Sci Rep       Date:  2022-09-07       Impact factor: 4.996

  4 in total

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