Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors

@article{Luessi2011BayesianSE,
  title={Bayesian symmetrical EEG/fMRI fusion with spatially adaptive priors},
  author={Martin Luessi and S. Derin Babacan and Rafael Molina and James R. Booth and Aggelos K. Katsaggelos},
  journal={NeuroImage},
  year={2011},
  volume={55 1},
  pages={113-32}
}
In this paper, we propose a novel symmetrical EEG/fMRI fusion method which combines EEG and fMRI by means of a common generative model. We use a total variation (TV) prior to model the spatial distribution of the cortical current responses and hemodynamic response functions, and utilize spatially adaptive temporal priors to model their temporal shapes. The… CONTINUE READING