Literature DB >> 16933294

Spatial relationship of source localizations in patients with focal epilepsy: Comparison of MEG and EEG with a three spherical shells and a boundary element volume conductor model.

Gabriela Scheler1, Michael J M Fischer, Alexandra Genow, Cornelia Hummel, Stefan Rampp, Andrea Paulini, Rüdiger Hopfengärtner, Martin Kaltenhäuser, Hermann Stefan.   

Abstract

Epilepsy surgery is an option for patients with pharmacoresistant focal epilepsies, but it requires a precise focus localization procedure. Magnetoencephalography (MEG) and electroencephalography (EEG) can be used for analysis of interictal activity. The aim of this prospective study was to compare clusters of source localization results with MEG and EEG using a three spherical shells (3SS) and a boundary element method (BEM) volume conductor model. The study was closed when 100 patients met the inclusion criteria. Simultaneous MEG and EEG were recorded during presurgical evaluation. Epileptiform signals were analyzed using an equivalent current dipole model. Centroids of source localizations from MEG, EEG, 3SS, and BEM in their respective combinations were compared. In a 3SS model, MEG source localizations were 5.6 mm inferior to those obtained by EEG, while in a BEM model MEG source localizations were 6.3 mm anterior and 4.8 mm superior. The mean scattering of source localizations between both volume conductor models was 19.5 mm for EEG and 9.6 mm for MEG. For MEG no systematic difference between BEM and 3SS source localizations was found. For EEG, source localizations with BEM were 5.9 mm posterior and 11.7 mm inferior to those determined using 3SS. No differences were found between the 46 temporal and the 54 extratemporal lobe epilepsy patients. The observed systematic differences of source localizations of epileptic spikes due to the applied source signal modality and volume conductor model should be considered in presurgical evaluation when only one source signal and volume conductor model is available. (c) 2006 Wiley-Liss, Inc.

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Year:  2007        PMID: 16933294      PMCID: PMC6871383          DOI: 10.1002/hbm.20277

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  21 in total

1.  Experimental tests of EEG source localization accuracy in spherical head models.

Authors:  B N Cuffin; D L Schomer; J R Ives; H Blume
Journal:  Clin Neurophysiol       Date:  2001-01       Impact factor: 3.708

2.  An evaluation of dipole reconstruction accuracy with spherical and realistic head models in MEG.

Authors:  A Crouzeix; B Yvert; O Bertrand; J Pernier
Journal:  Clin Neurophysiol       Date:  1999-12       Impact factor: 3.708

3.  Boundary element method volume conductor models for EEG source reconstruction.

Authors:  M Fuchs; M Wagner; J Kastner
Journal:  Clin Neurophysiol       Date:  2001-08       Impact factor: 3.708

4.  Experimental tests of EEG source localization accuracy in realistically shaped head models.

Authors:  B N Cuffin; D L Schomer; J R Ives; H Blume
Journal:  Clin Neurophysiol       Date:  2001-12       Impact factor: 3.708

Review 5.  Magnetoencephalography: an investigational tool or a routine clinical technique?

Authors:  Jaime Parra; Stiliyan N Kalitzin; Fernando H Lopes da Silva
Journal:  Epilepsy Behav       Date:  2004-06       Impact factor: 2.937

Review 6.  EEG source imaging.

Authors:  Christoph M Michel; Micah M Murray; Göran Lantz; Sara Gonzalez; Laurent Spinelli; Rolando Grave de Peralta
Journal:  Clin Neurophysiol       Date:  2004-10       Impact factor: 3.708

7.  How well does a three-sphere model predict positions of dipoles in a realistically shaped head?

Authors:  B J Roth; M Balish; A Gorbach; S Sato
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1993-10

8.  Differences in MEG/EEG epileptic spike yields explained by regional differences in signal-to-noise ratios.

Authors:  Arent de Jongh; Jan Casper de Munck; Sónia I Gonçalves; Pauly Ossenblok
Journal:  J Clin Neurophysiol       Date:  2005-04       Impact factor: 2.177

9.  Utilization of magnetoencephalography results to obtain favourable outcomes in epilepsy surgery.

Authors:  Michael J M Fischer; Gabriela Scheler; Hermann Stefan
Journal:  Brain       Date:  2004-11-24       Impact factor: 13.501

Review 10.  Controversies in neurophysiology. MEG is superior to EEG in localization of interictal epileptiform activity: Pro.

Authors:  Gregory L Barkley
Journal:  Clin Neurophysiol       Date:  2004-05       Impact factor: 3.708

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  7 in total

1.  Inverse modeling in magnetic source imaging: Comparison of MUSIC, SAM(g2), and sLORETA to interictal intracranial EEG.

Authors:  Karin L de Gooijer-van de Groep; Frans S S Leijten; Cyrille H Ferrier; Geertjan J M Huiskamp
Journal:  Hum Brain Mapp       Date:  2012-03-19       Impact factor: 5.038

2.  Choosing the optimal trigger point for analysis of movements after stroke based on magnetoencephalographic recordings.

Authors:  Guido Waldmann; Michael Schauer; Hartwig Woldag; Horst Hummelsheim
Journal:  Stroke Res Treat       Date:  2010-01-13

3.  Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy.

Authors:  Rasheda Arman Chowdhury; Giovanni Pellegrino; Ümit Aydin; Jean-Marc Lina; François Dubeau; Eliane Kobayashi; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2017-11-21       Impact factor: 5.038

4.  Concordance between routine interictal magnetoencephalography and simultaneous scalp electroencephalography in a sample of patients with epilepsy.

Authors:  Heidi E Kirsch; Mary Mantle; Srikantan S Nagarajan
Journal:  J Clin Neurophysiol       Date:  2007-06       Impact factor: 2.177

5.  Interictal and ictal source localization for epilepsy surgery using high-density EEG with MEG: a prospective long-term study.

Authors:  Chris Plummer; Simon J Vogrin; William P Woods; Michael A Murphy; Mark J Cook; David T J Liley
Journal:  Brain       Date:  2019-04-01       Impact factor: 13.501

6.  Combined EEG/MEG can outperform single modality EEG or MEG source reconstruction in presurgical epilepsy diagnosis.

Authors:  Ümit Aydin; Johannes Vorwerk; Matthias Dümpelmann; Philipp Küpper; Harald Kugel; Marcel Heers; Jörg Wellmer; Christoph Kellinghaus; Jens Haueisen; Stefan Rampp; Hermann Stefan; Carsten H Wolters
Journal:  PLoS One       Date:  2015-03-11       Impact factor: 3.240

7.  Source-Modeling Auditory Processes of EEG Data Using EEGLAB and Brainstorm.

Authors:  Maren Stropahl; Anna-Katharina R Bauer; Stefan Debener; Martin G Bleichner
Journal:  Front Neurosci       Date:  2018-05-08       Impact factor: 4.677

  7 in total

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