Literature DB >> 12752468

EEG-related functional MRI in benign childhood epilepsy with centrotemporal spikes.

Stephan Boor1, Goran Vucurevic, Christian Pfleiderer, Peter Stoeter, Georg Kutschke, Rainer Boor.   

Abstract

The localization of epileptic foci is an important issue in children with extratemporal epilepsies. However, the value of noninvasive methods such as the EEG-assisted functional magnetic resonance imaging (fMRI) has not been sufficiently investigated in children. As a model of extratemporal epilepsies, we studied 7 patients aged 5 to 12 (median 10) years with benign childhood epilepsy and centrotemporal (rolandic) spikes. Interictal spikes were recorded during the fMRI acquisition on a MR-compatible battery-powered digital EEG system with 16 channels. The fMRI sequences were correlated off-line with the EEG spikes and analyzed with the software Statistical Parametrical Mapping SPM99. The fMRI results demonstrated the spike-related activation in the perisylvian central region in three patients; we could not demonstrate fMRI activation despite active spiking in 2 patients, and 2 patients did not produce sufficient spikes for fMRI analysis. We currently consider the spike-related fMRI as a research tool that localizes epileptic activity in selected patients. Further improvements of the technique are necessary to allow a clinical application of this method.

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Year:  2003        PMID: 12752468     DOI: 10.1046/j.1528-1157.2003.27802.x

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


  9 in total

1.  Intrinsic brain activity as a diagnostic biomarker in children with benign epilepsy with centrotemporal spikes.

Authors:  Yihong Zhu; Yang Yu; Svetlana V Shinkareva; Gong-Jun Ji; Jue Wang; Zhong-Jin Wang; Yu-Feng Zang; Wei Liao; Ye-Lei Tang
Journal:  Hum Brain Mapp       Date:  2015-07-14       Impact factor: 5.038

2.  Resting-state fMRI revealed different brain activities responding to valproic acid and levetiracetam in benign epilepsy with central-temporal spikes.

Authors:  Qirui Zhang; Fang Yang; Zheng Hu; Zhiqiang Zhang; Qiang Xu; Mantini Dante; Han Wu; Zhipeng Li; Qian Li; Kai Li; Guangming Lu
Journal:  Eur Radiol       Date:  2016-08-23       Impact factor: 5.315

3.  Reliability and availability of granger causality density in localization of Rolandic focus in BECTS.

Authors:  Xi-Jian Dai; Yang Yang; Na Wang; Weiqun Tao; Jingyi Fan; Yongjun Wang
Journal:  Brain Imaging Behav       Date:  2021-06       Impact factor: 3.978

4.  Variability of the hemodynamic response as a function of age and frequency of epileptic discharge in children with epilepsy.

Authors:  Julia Jacobs; Colin Hawco; Eliane Kobayashi; Rainer Boor; Pierre LeVan; Ulrich Stephani; Michael Siniatchkin; Jean Gotman
Journal:  Neuroimage       Date:  2007-12-15       Impact factor: 6.556

5.  Centrotemporal spikes during NREM sleep: The promoting action of thalamus revealed by simultaneous EEG and fMRI coregistration.

Authors:  Laura Mirandola; Gaetano Cantalupo; Anna Elisabetta Vaudano; Pietro Avanzini; Andrea Ruggieri; Francesco Pisani; Giuseppe Cossu; Carlo Alberto Tassinari; Paolo Frigio Nichelli; Francesca Benuzzi; Stefano Meletti
Journal:  Epilepsy Behav Case Rep       Date:  2013-07-27

Review 6.  Mapping epileptic activity: sources or networks for the clinicians?

Authors:  Francesca Pittau; Pierre Mégevand; Laurent Sheybani; Eugenio Abela; Frédéric Grouiller; Laurent Spinelli; Christoph M Michel; Margitta Seeck; Serge Vulliemoz
Journal:  Front Neurol       Date:  2014-11-05       Impact factor: 4.003

7.  Clinical Usefulness of Simultaneous Electroencephalography and Functional Magnetic Resonance Imaging in Children With Focal Epilepsy.

Authors:  Yun Jeong Lee; Hyunwoo Bae; Jun Chul Byun; Soonhak Kwon; Sung Suk Oh; Saeyoon Kim
Journal:  J Clin Neurol       Date:  2022-09       Impact factor: 2.566

8.  Altered regional homogeneity in rolandic epilepsy: a resting-state FMRI study.

Authors:  Ye-Lei Tang; Gong-Jun Ji; Yang Yu; Jue Wang; Zhong-Jin Wang; Yu-Feng Zang; Wei Liao; Mei-Ping Ding
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

9.  BECTS Substate Classification by Granger Causality Density Based Support Vector Machine Model.

Authors:  Xi-Jian Dai; Qiang Xu; Jianping Hu; QiRui Zhang; Yin Xu; Zhiqiang Zhang; Guangming Lu
Journal:  Front Neurol       Date:  2019-11-14       Impact factor: 4.003

  9 in total

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