A state space approach to multimodal integration of simultaneously recorded EEG and fMRI
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 similar...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2012
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| Online Access: | http://hdl.handle.net/1721.1/70115 https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-6841-112X https://orcid.org/0000-0002-6777-7979 |
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| author | Purdon, Patrick Lee Lamus Garcia Herreros, Camilo Hamalainen, Matti S. Brown, Emery N. |
| author2 | Harvard University--MIT Division of Health Sciences and Technology |
| author_facet | Harvard University--MIT Division of Health Sciences and Technology Purdon, Patrick Lee Lamus Garcia Herreros, Camilo Hamalainen, Matti S. Brown, Emery N. |
| author_sort | Purdon, Patrick Lee |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T11:54:57Z |
| format | Article |
| id | mit-1721.1/70115 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:54:57Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/701152022-09-27T22:47:30Z A state space approach to multimodal integration of simultaneously recorded EEG and fMRI Purdon, Patrick Lee Lamus Garcia Herreros, Camilo Hamalainen, Matti S. Brown, Emery N. Harvard University--MIT Division of Health Sciences and Technology Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Brown, Emery N. Hamalainen, Matti S. Brown, Emery N. Purdon, Patrick Lee Lamus Garcia Herreros, Camilo 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. 2012-04-24T15:49:48Z 2012-04-24T15:49:48Z 2010-03 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-4296-6 978-1-4244-4295-9 1520-6149 NSPEC Accession Number: 11540379 http://hdl.handle.net/1721.1/70115 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. https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-6841-112X https://orcid.org/0000-0002-6777-7979 en_US http://dx.doi.org/10.1109/ICASSP.2010.5494906 Proceedings of the 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) 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. application/pdf Institute of Electrical and Electronics Engineers IEEE |
| spellingShingle | Purdon, Patrick Lee Lamus Garcia Herreros, Camilo Hamalainen, Matti S. Brown, Emery N. A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title | A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title_full | A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title_fullStr | A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title_full_unstemmed | A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title_short | A state space approach to multimodal integration of simultaneously recorded EEG and fMRI |
| title_sort | state space approach to multimodal integration of simultaneously recorded eeg and fmri |
| url | http://hdl.handle.net/1721.1/70115 https://orcid.org/0000-0001-5651-5060 https://orcid.org/0000-0003-2668-7819 https://orcid.org/0000-0001-6841-112X https://orcid.org/0000-0002-6777-7979 |
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