Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis

@article{Hyvrinen2010IndependentCA,
  title={Independent component analysis of short-time Fourier transforms for spontaneous EEG/MEG analysis},
  author={Aapo Hyv{\"a}rinen and Pavan Ramkumar and Lauri Parkkonen and Riitta Hari},
  journal={NeuroImage},
  year={2010},
  volume={49 1},
  pages={257-71}
}
Analysis of spontaneous EEG/MEG needs unsupervised learning methods. While independent component analysis (ICA) has been successfully applied on spontaneous fMRI, it seems to be too sensitive to technical artifacts in EEG/MEG. We propose to apply ICA on short-time Fourier transforms of EEG/MEG signals, in order to find more "interesting" sources than with time-domain ICA, and to more meaningfully sort the obtained components. The method is especially useful for finding sources of rhythmic… CONTINUE READING
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