Comparison of EEG and MEG in source localization of induced human gamma-band oscillations during visual stimulus

  • High frequency gamma oscillations are indications of information processing in cortical neuronal networks. Recently, non-invasive detection of these oscillations have become one of the main research areas in magnetoencephalography (MEG) and electroencephalography (EEG) studies. The aim of this study, which is a continuation of our previous MEG study, is to compare the capability of the two modalities (EEG and MEG) in localizing the source of the induced gamma activity due to a visual stimulus, using a spatial filtering technique known as dynamic imaging of coherent sources (DICS). To do this, the brain activity was recorded using simultaneous MEG and EEG measurement and the data were analyzed with respect to time, frequency, and location of the strongest response. The spherical head modeling technique, such as, the three-shell concentric spheres and an overlapping sphere (local sphere) have been used as a forward model to calculate the external electromagnetic potentials and fieldsHigh frequency gamma oscillations are indications of information processing in cortical neuronal networks. Recently, non-invasive detection of these oscillations have become one of the main research areas in magnetoencephalography (MEG) and electroencephalography (EEG) studies. The aim of this study, which is a continuation of our previous MEG study, is to compare the capability of the two modalities (EEG and MEG) in localizing the source of the induced gamma activity due to a visual stimulus, using a spatial filtering technique known as dynamic imaging of coherent sources (DICS). To do this, the brain activity was recorded using simultaneous MEG and EEG measurement and the data were analyzed with respect to time, frequency, and location of the strongest response. The spherical head modeling technique, such as, the three-shell concentric spheres and an overlapping sphere (local sphere) have been used as a forward model to calculate the external electromagnetic potentials and fields recorded by the EEG and MEG, respectively. Our results from the time-frequency analysis, at the sensor level, revealed that the parieto-occipital electrodes and sensors from both modalities showed a clear and sustained gamma-band activity throughout the post-stimulus duration and that both modalities showed similar strongest gamma-band peaks. It was difficult to interpret the spatial pattern of the gamma-band oscillatory response on the scalp, at the sensor level, for both modalities. However, the source analysis result revealed that MEG3 sensor type, which measure the derivative along the longitude, showed the source more focally and close to the visual cortex (cuneus) as compared to that of the EEG.show moreshow less

Download full text files

  • 110289.pdfeng
    (233KB)

    Postprint. © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Kidist Gebremariam Mideksa, Nienke Hoogenboom, H. Hellriegel, Holger Krause, Alfons Schnitzler, Günther Deuschl, Jan Raethjen, U. Heute, Muthuraman MuthuramanORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1102897
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110289
ISBN:978-1-4244-9271-8OPAC
Parent Title (English):2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25-29 August 2015, Milan, Italy
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Sergio Cerutti, Paolo Bonato, Colin J. H. Brenan, Anna Maria Bianchi, Silvestro Micera
Type:Conference Proceeding
Language:English
Year of first Publication:2015
Publishing Institution:Universität Augsburg
Release Date:2023/12/20
First Page:8119
Last Page:8122
DOI:https://doi.org/10.1109/embc.2015.7320278
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht