NDLI: Coherent source and connectivity analysis on simultaneously measured EEG and MEG data during isometric contraction

Content Provider	IEEE Xplore Digital Library
Author	Muthuraman, M. Hellriegel, H. Hoogenboom, N. Anwar, A.R. Mideksa, K.G. Krause, H. Schnitzler, A. Raethjen, J. Deuschl, G.
Copyright Year	2014
Description	Author affiliation: Inst. for Digital Signal Process. & Syst. Theor., Christian Albrecht's Univ., Kiel, Germany (Anwar, A.R.; Mideksa, K.G.) \|\| Dept. of Neurology, Heinrich-Heine Univ., Düsseldorf, Germany (Hoogenboom, N.; Krause, H.; Schnitzler, A.) \|\| Dept. of Neurology, Christian Albrecht's Univ., Kiel, Germany (Muthuraman, M.; Hellriegel, H.; Raethjen, J.; Deuschl, G.)
Abstract	The most well-known non-invasive electric and magnetic field measurement modalities are the electroencephalography (EEG) and magnetoencephalography (MEG). The first aim of the study was to implement the recently developed realistic head model which uses an integrative approach for both the modalities. The second aim of this study was to find the network of coherent sources and the modes of interactions within this network during isometric contraction (ISC) at (15-30 Hz) in healthy subjects. The third aim was to test the effective connectivity revealed by both the modalities analyzing them separately and combined. The Welch periodogram method was used to estimate the coherence spectrum between the EEG and the electromyography (EMG) signals followed by the realistic head modelling and source analysis method dynamic imaging of coherent sources (DICS) to find the network of coherent sources at the individual peak frequency within the beta band in healthy subjects. The last step was to identify the effective connectivity between the identified sources using the renormalized partial directed coherence method. The cortical and sub-cortical network comprised of the primary sensory motor cortex (PSMC), secondary motor area (SMA), and the cerebellum (C). The cortical and sub-cortical network responsible for the isometric contraction was similar in both the modalities when analysing them separately and combined. The SNR was not significantly different between the two modalities separately and combined. However, the coherence values were significantly higher in the combined modality in comparison to each of the modality separately. The effective connectivity analysis revealed plausible additional connections in the combined modality analysis.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	6365
Ending Page	6368
File Size	730067
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6945084
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Coherence Brain modeling Electromyography Electrodes Head Magnetic heads
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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