Multimodal functional imaging using fMRI-Informed regional EEG/MEG estimation
Name
Ou-2009-Multimodal functiona.pdf
Size
957.92 KB
Format
Adobe PDF
Checksum (MD5)
5f2f1dd4eec69328f07eed4026eb5da7
Author(s)
Ou, Wanmei
Nummenmaa, Aapo
Golland, Polina
Hamalainen, Matti S.
Date Issued
November 2009
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009
Publisher
Institute of Electrical and Electronics Engineers
Citation
Wanmei Ou, Nummenmaa, A., Golland, P., and Hamalainen, M.S. (2009). Multimodal functional imaging using fMRI-Informed regional EEG/MEG source estimation. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 (Piscataway, N.J.: IEEE): 1926-1929. © 2009 IEEE
Version
Final published version
Abstract
We propose a novel method, fMRI-informed regional estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spatial alignment between the neural and the vascular activities, while allowing for substantial differences in their dynamics. Furthermore, with the regional approach, FIRE can be efficiently applied to a dense grid of sources. Inspection of our optimization procedure reveals that FIRE is related to the re-weighted minimum-norm algorithms, the difference being that the weights in the proposed approach are computed from both the current estimates and fMRI data. Analysis of both simulated and human fMRI-MEG data shows that FIRE reduces the ambiguities in source localization present in the minimum-norm estimates. Comparisons with several joint fMRI-E/MEG algorithms demonstrate robustness of FIRE in the presence of sources silent to either fMRI or E/MEG measurements.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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/IEMBS.2009.5333926
