A state space approach to multimodal integration of simultaneously recorded EEG and fMRI

Author(s)
Purdon, Patrick Lee; Lamus Garcia Herreros, Camilo; Hamalainen, Matti S.; Brown, Emery N.
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Abstract
We develop a state space approach to multimodal integration of simultaneously recorded EEG and fMRI. The EEG is represented with a distributed current source model using realistic MRI-based forward models, whose temporal evolution is governed by a linear state space model. The fMRI signal is similarly modeled by a linear state space model describing the hemodynamic response to underlying EEG current activity. We explore the feasibility of high dimensional dynamic estimation of simultaneous EEG/fMRI using simulation studies of the alpha wave.
Date issued
2010-03
URI
http://hdl.handle.net/1721.1/70115
Department
Harvard University--MIT Division of Health Sciences and Technology; Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Journal
Proceedings of the 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
Publisher
Institute of Electrical and Electronics Engineers
Citation
Purdon, P.L. et al. “A State Space Approach to Multimodal Integration of Simultaneously Recorded EEG and fMRI.” IEEE, 2010. 5454–5457. Web.© 2010 IEEE.
Version: Final published version
Other identifiers
NSPEC Accession Number: 11540379
ISBN
978-1-4244-4296-6
978-1-4244-4295-9
ISSN
1520-6149
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