FMRI unmixing via properly adjusted dictionary learning

@article{Kopsinis2014FMRIUV,
  title={FMRI unmixing via properly adjusted dictionary learning},
  author={Yannis Kopsinis and Harris V. Georgiou and Sergios Theodoridis},
  journal={2014 22nd European Signal Processing Conference (EUSIPCO)},
  year={2014},
  pages={2075-2079}
}
The mapping of the functional networks within the brain is a major step towards a deeper understanding of the the brain function. It involves the blind source separation of obtained fMRI data, usually performed via independent component analysis (ICA). Recently, there is an increased interest for alternatives to ICA for data-driven fMRI unmixing and notably good results have been attained with Dictionary Learning (DL) - based analysis. In this paper, the K-SVD DL method is appropriately… CONTINUE READING

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