Multimodal functional imaging using fMRI-Informed regional EEG/MEG source estimation

@article{Ou2009MultimodalFI,
  title={Multimodal functional imaging using fMRI-Informed regional EEG/MEG source estimation},
  author={Wanmei Ou and Aapo Nummenmaa and Matti S. H{\"a}m{\"a}l{\"a}inen and Polina Golland},
  journal={2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2009},
  pages={1926-1929}
}
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… CONTINUE READING
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