Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2008
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| Online Access: | http://hdl.handle.net/1721.1/40528 |
| _version_ | 1811096141321732096 |
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| author | Molins Jiménez, Antonio |
| author2 | Emery N. Brown and Matti Hämäläinen. |
| author_facet | Emery N. Brown and Matti Hämäläinen. Molins Jiménez, Antonio |
| author_sort | Molins Jiménez, Antonio |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. |
| first_indexed | 2024-09-23T16:38:48Z |
| format | Thesis |
| id | mit-1721.1/40528 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T16:38:48Z |
| publishDate | 2008 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/405282019-04-12T11:18:19Z Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates Multimodal integration of electroencephalography and magnetoencephalography data using minimum ℓ₂-norm estimates Molins Jiménez, Antonio Emery N. Brown and Matti Hämäläinen. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007. Includes bibliographical references (leaves 69-74). The aim of this thesis was to study the effects of multimodal integration of electroencephalography (EEG) and magnetoencephalography (MEG) data on the minimum ℓ₂-norm estimates of cortical current densities. We investigated analytically the effect of including EEG recordings in MEG studies versus the addition of new MEG channels. To further confirm these results, clinical datasets comprising concurrent MEG/EEG acquisitions were analyzed. Minimum ℓ₂-norm estimates were computed using MEG alone, EEG alone, and the combination of the two modalities. Localization accuracy of responses to median-nerve stimulation was evaluated to study the utility of combining MEG and EEG. by Antonio Molins Jiménez. S.M. 2008-02-27T22:43:36Z 2008-02-27T22:43:36Z 2007 2007 Thesis http://hdl.handle.net/1721.1/40528 191912581 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 74 leaves application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Molins Jiménez, Antonio Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title | Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title_full | Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title_fullStr | Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title_full_unstemmed | Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title_short | Multimodal integration of EEG and MEG data using minimum ℓ₂-norm estimates |
| title_sort | multimodal integration of eeg and meg data using minimum l₂ norm estimates |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/40528 |
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