Abstract
A multi-modal linear mixing model is suggested for simultaneously measured MEG and EEG data. On the basis of this model an ICA decomposition is calculated for a combined MEG and EEG signal vector using the TDSEP algorithm. A single modality demixing procedure is developed to classify ICA components to be multi-modality sources detected by EEG and MEG simultaneously or to be single mode sources. Under this premise, data from 10 subjects are analysed and four exemplary types of sources are selected. We found that these sources represent physically meaningful multi- and single-mode signals: Alpha oscillations, heart activity, eye blinks, and slow signal drifts.
This work was supported by the DAAD (German Academic Exchange Service) scholarship for H.Z.F (A0421558) and the Berlin Neuroimaging Centre (BMBF 01GO 0503 BNIC).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Baillet, S., Garnero, L., Marin, G., Hugonin, J.P.: Combined MEG and EEG Source Imaging by Minimization of Mutual Information. Biomedical Eng. 46(5) (1999)
Dale, A.M., Sereno, M.I.: Improved Localization of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach. Journal of Cognitive Neuroscience 5(2), 162–176 (1993)
Huizenga, H.M., van Zuijen, T.L., Heslenfeld, D.J., Molenaar, P.C.M.: Simultaneous MEG and EEG source analysis. Phys. Med. Biol. 46, 1737–1751 (2001)
Yoshinaga, H., Nakahori, T., Ohtsuka, Y., Oka, E., Kitamura, Y., Kiriyama, H., Kinugasa, K., Miyamoto, K., Hoshida, T.: Benefit of Simultaneous Recording of EEG and MEG in Dipole Localization. Epilepsia 43(8), 924–928 (2002)
James, C., Hesse, C.: ICA for Biomedical Signals. Physiol. Meas. 26, 15–39 (2005)
Anemüller, J.: Second-Order Separation of Multidimensional Sources with Constrained Mixing System. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 16–23. Springer, Heidelberg (2006)
Belouchrani, A., Abed-Meraim, K., Cardoso, J.-F., Moulines, E.: A BSS Technique Based on Second-Order Statistics. IEEE Trans. on Sig. Proc. 45, 434–444 (1997)
Ziehe, A., Müller, K.-R.: TDSEP–An Efficient Algorithm for Blind Separation Using Time Structure. In: Proc. of the 8th ICANN, pp. 675–680. Springer, Heidelberg (1998)
Hari, R., Salmelin, R.: Human cortical oscillations: a neuromagnetic view through the skull. Trends Neurosci. 20(1), 44–49 (1997)
Sander, T.H., Wuebbeler, G., Lueschow, A., Curio, G., Trahms, L.: Cardiac Artifact Subspace Identification and Elimination in Cognitive MEG-Data Using Time-Delayed Decorrelation. IEEE Trans. Biomed. Eng. 49, 345–354 (2002)
Dirlich, G., Vogl, L., Plaschke, M., Strian, F.: Cardiac field effects on the EEG. Electroencephalography and clinical Neurophysiology 102, 307–315 (1997)
Zavala-Fernandez, H., Sander, T., Burghoff, M., Orglmeister, R., Trahms, L.: Comparison of ICA Algorithms for the Isolation of Biological Artifacts in Magnetoencephalography. In: Rosca, J., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 511–518. Springer, Heidelberg (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zavala-Fernandez, H., Sander, T.H., Burghoff, M., Orglmeister, R., Trahms, L. (2007). Multi-modal ICA Exemplified on Simultaneously Measured MEG and EEG Data. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds) Independent Component Analysis and Signal Separation. ICA 2007. Lecture Notes in Computer Science, vol 4666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74494-8_84
Download citation
DOI: https://doi.org/10.1007/978-3-540-74494-8_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74493-1
Online ISBN: 978-3-540-74494-8
eBook Packages: Computer ScienceComputer Science (R0)