Literature DB >> 15066524

Controversies in clinical neurophysiology. MEG is superior to EEG in the localization of interictal epileptiform activity: Con.

Christoph Baumgartner1.   

Abstract

OBJECTIVE: To assess whether MEG is superior to scalp-EEG in the localization of interictal epileptiform activity and to stress the 'con' part in this controversy.
METHODS: Advantages and disadvantages of the two techniques were systematically reviewed.
RESULTS: While MEG and EEG complement each other for the detection of interictal epileptiform discharges, EEG offers the advantage of long-term recording significantly increasing its diagnostic yield which is not feasible with MEG. Localization accuracies of EEG and MEG are comparable once inaccuracies for the solution of the forward problem are eliminated. MEG may be more sensitive for the detection of neocortical spike sources. EEG and MEG source localizations show comparable agreement with invasive electrical recordings, can clarify the spatial relationship between the irritative zone and structural lesions, guide the placement of invasive electrodes and attribute epileptic activity to lobar subcompartments in temporal lobe epilepsy and to a lesser extent in extratemporal epilepsy.
CONCLUSIONS: A clear superiority of MEG over EEG for the localization of interictal epileptiform activity cannot be derived from the studies presently available. SIGNIFICANCE: The combination of EEG and MEG provides information for the localization of interictal epileptiform activity which cannot be obtained with either technique alone.

Entities:  

Mesh:

Year:  2004        PMID: 15066524     DOI: 10.1016/j.clinph.2003.12.010

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  14 in total

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Journal:  AJNR Am J Neuroradiol       Date:  2008-02-13       Impact factor: 3.825

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Journal:  J Can Chiropr Assoc       Date:  2009-03

4.  Magnetoencephalography imaging of high frequency oscillations strengthens presurgical localization and outcome prediction.

Authors:  Jayabal Velmurugan; Srikantan S Nagarajan; Narayanan Mariyappa; Ravindranadh C Mundlamuri; Kenchaiah Raghavendra; Rose Dawn Bharath; Jitender Saini; Arimappamagan Arivazhagan; Jamuna Rajeswaran; Anita Mahadevan; Bhaskara Rao Malla; Parthasarathy Satishchandra; Sanjib Sinha
Journal:  Brain       Date:  2019-11-01       Impact factor: 13.501

5.  Mapping the signal-to-noise-ratios of cortical sources in magnetoencephalography and electroencephalography.

Authors:  Daniel M Goldenholz; Seppo P Ahlfors; Matti S Hämäläinen; Dahlia Sharon; Mamiko Ishitobi; Lucia M Vaina; Steven M Stufflebeam
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Review 6.  Magnetoencephalography for brain electrophysiology and imaging.

Authors:  Sylvain Baillet
Journal:  Nat Neurosci       Date:  2017-02-23       Impact factor: 24.884

7.  Mapping cortical responses to speech using high-density diffuse optical tomography.

Authors:  Mahlega S Hassanpour; Adam T Eggebrecht; Joseph P Culver; Jonathan E Peelle
Journal:  Neuroimage       Date:  2015-05-28       Impact factor: 6.556

8.  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

9.  Investigating neuromagnetic brain responses against chromatic flickering stimuli by wavelet entropies.

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Journal:  PLoS One       Date:  2009-09-25       Impact factor: 3.240

10.  Dense array EEG source estimation in neocortical epilepsy.

Authors:  Madoka Yamazaki; Don M Tucker; Marie Terrill; Ayataka Fujimoto; Takamichi Yamamoto
Journal:  Front Neurol       Date:  2013-05-13       Impact factor: 4.003

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