Literature DB >> 19498089

Interictal magnetoencephalography and the irritative zone in the electrocorticogram.

Z Agirre-Arrizubieta1, G J M Huiskamp, C H Ferrier, A C van Huffelen, F S S Leijten.   

Abstract

Magnetoencephalography (MEG) is considered a useful tool for planning electrode placement for chronic intracranial subdural electrocorticography (ECoG) in candidates for epilepsy surgery or even as a substitute for ECoG. MEG recordings are usually interictal and therefore, at best, reflect the interictal ECoG. To estimate the clinical value of MEG, it is important to know how well interictal MEG reflects interictal activity in the ECoG. From 1998 to 2008, 38 candidates for ECoG underwent a 151-channel MEG recording and 3D magnetic resonance imaging as a part of their presurgical evaluation. Interictal MEG spikes were identified, clustered, averaged and modelled using the multiple signal classification algorithm and co-registered to magnetic resonance imaging. ECoG was continuously recorded with electrode grids and strips for approximately 1 week. In a representative sample of awake interictal ECoG, interictal spikes were identified and averaged. The different spikes were characterized and quantified using a combined amplitude and synchronous surface-area measure. The ECoG spikes were ranked according to this measure and plotted on the magnetic resonance imaging surface rendering. Interictal spikes in MEG and ECoG were allocated to a predefined anatomical brain region and an association analysis was performed. All interictal MEG spikes were associated with an interictal ECoG spike. Overall, 56% of all interictal ECoG spikes had an interictal MEG counterpart. The association between the two was >or=90% in the interhemispheric and frontal orbital region, approximately 75% in the superior frontal, central and lateral temporal regions, but only approximately 25% in the mesial temporal region. MEG is a reliable indicator of the presence of interictal ECoG spikes and can be used to plan intracranial electrode placements. However, a substantial number of interictal ECoG spikes are not detected by MEG, and therefore MEG cannot be considered a substitute for ECoG.

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Year:  2009        PMID: 19498089     DOI: 10.1093/brain/awp137

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  30 in total

1.  Source localization of the seizure onset zone from ictal EEG/MEG data.

Authors:  Giovanni Pellegrino; Tanguy Hedrich; Rasheda Chowdhury; Jeffery A Hall; Jean-Marc Lina; Francois Dubeau; Eliane Kobayashi; Christophe Grova
Journal:  Hum Brain Mapp       Date:  2016-04-05       Impact factor: 5.038

2.  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

3.  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

Review 4.  Preoperative evaluation and surgical decision-making in pediatric epilepsy surgery.

Authors:  Katrina Ducis; Jian Guan; Michael Karsy; Robert J Bollo
Journal:  Transl Pediatr       Date:  2016-07

5.  Epileptogenic zone localization using magnetoencephalography predicts seizure freedom in epilepsy surgery.

Authors:  Dario J Englot; Srikantan S Nagarajan; Brandon S Imber; Kunal P Raygor; Susanne M Honma; Danielle Mizuiri; Mary Mantle; Robert C Knowlton; Heidi E Kirsch; Edward F Chang
Journal:  Epilepsia       Date:  2015-04-29       Impact factor: 5.864

Review 6.  Imaging in the surgical treatment of epilepsy.

Authors:  John S Duncan
Journal:  Nat Rev Neurol       Date:  2010-09-14       Impact factor: 42.937

7.  Sensitivity of scalp 10-20 EEG and magnetoencephalography.

Authors:  Yosuke Kakisaka; Rafeed Alkawadri; Zhong I Wang; Rei Enatsu; John C Mosher; Anne-Sophie Dubarry; Andreas V Alexopoulos; Richard C Burgess
Journal:  Epileptic Disord       Date:  2013-03       Impact factor: 1.819

8.  Regional differences in the sensitivity of MEG for interictal spikes in epilepsy.

Authors:  Geertjan Huiskamp; Zaloa Agirre-Arrizubieta; Frans Leijten
Journal:  Brain Topogr       Date:  2010-02-12       Impact factor: 3.020

9.  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

10.  Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy.

Authors:  Christophe Grova; Maria Aiguabella; Rina Zelmann; Jean-Marc Lina; Jeffery A Hall; Eliane Kobayashi
Journal:  Hum Brain Mapp       Date:  2016-03-02       Impact factor: 5.038

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