Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis.

@article{Ramkumar2012CharacterizationON,
  title={Characterization of neuromagnetic brain rhythms over time scales of minutes using spatial independent component analysis.},
  author={Pavan Ramkumar and Lauri Parkkonen and Riitta Hari and Aapo Hyv{\"a}rinen},
  journal={Human brain mapping},
  year={2012},
  volume={33 7},
  pages={
          1648-62
        }
}
Independent component analysis (ICA) of electroencephalographic (EEG) and magnetoencephalographic (MEG) data is usually performed over the temporal dimension: each channel is one row of the data matrix, and a linear transformation maximizing the independence of component time courses is sought. In functional magnetic resonance imaging (fMRI), by contrast, most studies use spatial ICA: each time point constitutes a row of the data matrix, and independence of the spatial patterns is maximized… CONTINUE READING
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