Literature DB >> 17143138

MEG versus EEG: influence of background activity on interictal spike detection.

Georgia Ramantani1, Rainer Boor, Ritva Paetau, Nicole Ille, Reinhard Feneberg, Andre Rupp, Tobias Boppel, Michael Scherg, Dietz Rating, Thomas Bast.   

Abstract

The comparative sensitivity of EEG and magnetoencephalography (MEG) in the visual detection of focal epileptiform activity in simultaneous interictal sleep recordings were investigated. The authors examined 14 patients aged 3.5 to 17 years with localization-related epilepsy. Simultaneous 122-channel whole-head MEG and 33-channel EEG were recorded for 20 to 40 minutes during spontaneous sleep. The EEG and MEG data were separated and four blinded independent reviewers marked the presence and timing of epileptic discharges (ED) in the 28 data segments. EEG and MEG data were matched and spikes identified by at least three reviewers were classified in three categories according to the following criteria: type 1 MEG > EEG, type 2 EEG > MEG (type 1/2: difference of three or more raters), and type 3 EEG = MEG (three or more raters each). The presence of simultaneous sleep changes was visually determined for every single EEG-segment. Spikes with high spatiotemporal correlation were averaged and subjected to single dipole analysis of peak activity in EEG. Out of 4704 marked patterns, 1387 spikes fulfilled the above criteria. In fact, more spikes were unique to MEG (689) than to EEG (136) and to the combination of both modalities (562). ED were detected predominantly by MEG in eight patients and by EEG in two patients. The presence of vertex waves and spindles lead to a significantly higher number of spikes identified only in MEG. Averaging of type 1 spikes produced clear spike activity in EEG in 9 of 12 cases. On the contrary, only 2 of 10 type 2 spikes were visible in MEG after averaging. Dipoles of spikes visible in MEG showed a more tangential orientation compared with more radial dipoles of type 2 spikes. Spike characteristics, e.g., dipole orientation, are a key factor for a sole EEG representation. Exclusive MEG detection is more likely influenced by overlapping background activity in EEG. Because MEG is indifferent to radial activity, i.e., sleep changes, a higher ratio of spikes unique to MEG compared with EEG is detected in the case of overlapping sleep changes.

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Year:  2006        PMID: 17143138     DOI: 10.1097/01.wnp.0000240873.69759.cc

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  8 in total

1.  Magnetoencephalography-identified preictal spiking correlates to preictal spiking on stereotactic EEG.

Authors:  Andrew Zillgitt; Mohamad Ayman Haykal; Konstantin Elisevich; Sanjay Patra; Frederick Sherburn; Susan M Bowyer; David E Burdette
Journal:  Epilepsy Behav Rep       Date:  2022-03-24

2.  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

Review 3.  Clinical applications of magnetoencephalography.

Authors:  Steven M Stufflebeam; Naoaki Tanaka; Seppo P Ahlfors
Journal:  Hum Brain Mapp       Date:  2009-06       Impact factor: 5.038

4.  Interictal MEG/MSI in intractable mesial temporal lobe epilepsy: spike yield and characterization.

Authors:  Kitti Kaiboriboon; Srikantan Nagarajan; Mary Mantle; Heidi E Kirsch
Journal:  Clin Neurophysiol       Date:  2010-01-12       Impact factor: 3.708

5.  Assessing the localization accuracy and clinical utility of electric and magnetic source imaging in children with epilepsy.

Authors:  Eleonora Tamilia; Michel AlHilani; Naoaki Tanaka; Melissa Tsuboyama; Jurriaan M Peters; P Ellen Grant; Joseph R Madsen; Steven M Stufflebeam; Phillip L Pearl; Christos Papadelis
Journal:  Clin Neurophysiol       Date:  2019-01-31       Impact factor: 3.708

6.  MEG-EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy.

Authors:  Rasheda Arman Chowdhury; Younes Zerouali; Tanguy Hedrich; Marcel Heers; Eliane Kobayashi; Jean-Marc Lina; Christophe Grova
Journal:  Brain Topogr       Date:  2015-05-28       Impact factor: 3.020

7.  Localization of the epileptogenic foci in tuberous sclerosis complex: a pediatric case report.

Authors:  Alexander Hunold; Jens Haueisen; Banu Ahtam; Chiran Doshi; Chellamani Harini; Susana Camposano; Simon K Warfield; Patricia Ellen Grant; Yoshio Okada; Christos Papadelis
Journal:  Front Hum Neurosci       Date:  2014-03-26       Impact factor: 3.169

Review 8.  Magnetoencephalography in pediatric epilepsy.

Authors:  Hunmin Kim; Chun Kee Chung; Hee Hwang
Journal:  Korean J Pediatr       Date:  2013-10-31
  8 in total

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