A state space approach to multimodal integration of simultaneously recorded EEG and fMRI
Name
Brown-2010-A state space approach to multimodal.pdf
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566.81 KB
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Author(s)
Purdon, Patrick Lee
Lamus Garcia Herreros, Camilo
Hamalainen, Matti S.
Brown, Emery N.
Date Issued
March 2010
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
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.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/ICASSP.2010.5494906
