Literature DB >> 23362864

Identifying the cortical substrates of interictal epileptiform activity in patients with extratemporal epilepsy: An EEG-fMRI sequential analysis and FDG-PET study.

Antonio Donaire1, Antoni Capdevila, Mar Carreño, Xavier Setoain, Jordi Rumià, Javier Aparicio, Jaume Campistol, Nelly Padilla, Francesc Sanmartí, Oriol Vernet, Luis Pintor, Teresa Boget, Joan Ortells, Nuria Bargalló.   

Abstract

PURPOSE: The aim of this study was to apply sequential analysis of electroencephalography-functional magnetic resonance imaging (EEG-fMRI) data to study the cortical substrates related to the generation of the interictal epileptiform activity (IEA) in patients with pharmacoresistant extratemporal epilepsy.
METHODS: We analyzed fMRI data from 21 children, adolescents, and young adults patients who showed frequent bursts or runs of spikes on EEG, by using the sequential analysis method. We contrasted consecutive fixed-width blocks of 10 s to obtain the relative variations in cerebral activity along the entire fMRI runs. Significant responses (p < 0.05, family-wise error (FWE) corrected), time-related to the IEA recorded on scalp EEG, were considered potential IEA cortical sources. These results were compared with those from the fluorodeoxyglucose-positron emission tomography (FDG-PET), intracranial EEG (two patients), and surgery outcome (eight patients). KEY
FINDINGS: The typical IEA was recorded in all patients. After the sequential analysis, at least one significant blood oxygen level-dependent (BOLD) response spatially consistent with the presumed epileptogenic zone was found. These IEA-related activation areas coincided when superimposed with the hypometabolism depicted by the FDG-PET. These data were also consistent with the invasive EEG findings. Epileptic seizures were recorded in eight patients. A subset of IEA-associated fMRI activations was consistent the activations at seizure-onset determined by sequential analysis. The inclusion of the IEA-related areas in the resection rendered the patients seizure-free (five of eight operated patients). SIGNIFICANCE: The EEG-fMRI data sequential analysis could noninvasively identify cortical areas involved in the IEA generation. The spatial relationship of these areas with the cortical metabolic abnormalities depicted by the FDG-PET and their intrinsic relationship regarding the ictal-onset zone could be useful in epilepsy surgery planning. Wiley Periodicals, Inc.
© 2013 International League Against Epilepsy.

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Year:  2013        PMID: 23362864     DOI: 10.1111/epi.12091

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


  6 in total

1.  Spatial correlation of hemodynamic changes related to interictal epileptic discharges with electric and magnetic source imaging.

Authors:  Marcel Heers; Tanguy Hedrich; Dongmei An; François Dubeau; Jean Gotman; Christophe Grova; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2014-02-24       Impact factor: 5.038

2.  Objective 3D surface evaluation of intracranial electrophysiologic correlates of cerebral glucose metabolic abnormalities in children with focal epilepsy.

Authors:  Jeong-Won Jeong; Eishi Asano; Vinod Kumar Pilli; Yasuo Nakai; Harry T Chugani; Csaba Juhász
Journal:  Hum Brain Mapp       Date:  2017-03-21       Impact factor: 5.038

3.  Correlation of FDG-PET hypometabolism and SEEG epileptogenicity mapping in patients with drug-resistant focal epilepsy.

Authors:  Florence Lamarche; Anne-Sophie Job; Pierre Deman; Manik Bhattacharjee; Dominique Hoffmann; Céline Gallazzini-Crépin; Sandrine Bouvard; Lorella Minotti; Philippe Kahane; Olivier David
Journal:  Epilepsia       Date:  2016-11-08       Impact factor: 5.864

4.  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.  Concordance of Epileptic Networks Associated with Epileptic Spikes Measured by High-Density EEG and Fast fMRI.

Authors:  Vera Jäger; Matthias Dümpelmann; Pierre LeVan; Georgia Ramantani; Irina Mader; Andreas Schulze-Bonhage; Julia Jacobs
Journal:  PLoS One       Date:  2015-10-23       Impact factor: 3.240

6.  Sensitivity and Specificity of Interictal EEG-fMRI for Detecting the Ictal Onset Zone at Different Statistical Thresholds.

Authors:  Simon Tousseyn; Patrick Dupont; Karolien Goffin; Stefan Sunaert; Wim Van Paesschen
Journal:  Front Neurol       Date:  2014-07-17       Impact factor: 4.003

  6 in total

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