Literature DB >> 30769269

Widespread interictal epileptic discharge more likely than focal discharges to unveil the seizure onset zone in EEG-fMRI.

Tomohiro Yamazoe1, Nicolás von Ellenrieder2, Hui Ming Khoo3, Yao-Hsien Huang4, Natalja Zazubovits2, François Dubeau2, Jean Gotman2.   

Abstract

OBJECTIVE: We hypothesized that the number of interictal epileptic discharges (IEDs) during scan and their spatial extent are contributing factors in obtaining appropriate activations that reveal the seizure onset zone (SOZ) in EEG-fMRI.
METHODS: 157 IED types, each corresponding to one EEG scalp distribution, in 64 consecutive EEG-fMRI studies from 64 patients with refractory localization-related epilepsy were reviewed. To determine reliable activation, we used the threshold corresponding to corrected whole-brain topological false discovery rate (FDR). The location with maximum activation was compared to the presumed SOZ as defined by a comprehensive evaluation for each patient.
RESULTS: The number of IEDs was significantly higher in the types with t-value above FDR than with t-value below FDR. The presumed SOZ could be delineated in 30 of the 64 patients. Among these patients, the types of IED concordant with the SOZ had significantly larger extent on scalp EEG than the IED types discordant with the SOZ.
CONCLUSIONS: The number of IEDs is important factor in obtaining reliable activations in EEG-fMRI. IEDs with larger spatial extent are more likely to reveal, on maximum BOLD, accurate location of the SOZ. SIGNIFICANCE: Widespread discharges are more likely to yield a reliable activation for SOZ in EEG-fMRI.
Copyright © 2019 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EEG-fMRI; Interictal epileptic discharge; Number of events; Refractory focal epilepsy; Seizure onset zone; Spatial extent

Mesh:

Year:  2019        PMID: 30769269     DOI: 10.1016/j.clinph.2018.12.014

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


  5 in total

1.  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

2.  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

Review 3.  Localization of Epileptic Foci Based on Simultaneous EEG-fMRI Data.

Authors:  Seyyed Mostafa Sadjadi; Elias Ebrahimzadeh; Mohammad Shams; Masoud Seraji; Hamid Soltanian-Zadeh
Journal:  Front Neurol       Date:  2021-04-27       Impact factor: 4.003

4.  Automated fusion of multimodal imaging data for identifying epileptogenic lesions in patients with inconclusive magnetic resonance imaging.

Authors:  Radek Mareček; Pavel Říha; Michaela Bartoňová; Martin Kojan; Martin Lamoš; Martin Gajdoš; Lubomír Vojtíšek; Michal Mikl; Marek Bartoň; Irena Doležalová; Martin Pail; Ondřej Strýček; Marta Pažourková; Milan Brázdil; Ivan Rektor
Journal:  Hum Brain Mapp       Date:  2021-03-27       Impact factor: 5.038

5.  Mapping Epileptic Networks Using Simultaneous Intracranial EEG-fMRI.

Authors:  Umair J Chaudhary; Maria Centeno; David W Carmichael; Beate Diehl; Matthew C Walker; John S Duncan; Louis Lemieux
Journal:  Front Neurol       Date:  2021-09-21       Impact factor: 4.086

  5 in total

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