Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components

@article{Formisano2002SpatialIC,
  title={Spatial independent component analysis of functional magnetic resonance imaging time-series: characterization of the cortical components},
  author={Elia Formisano and Fabrizio Esposito and Nikolaus Kriegeskorte and Gioacchino Tedeschi and Francesco Di Salle and Rainer Goebel},
  journal={Neurocomputing},
  year={2002},
  volume={49},
  pages={241-254}
}
Spatial independent component analysis (sICA) can be applied to human brain functional magnetic resonance imaging (fMRI) data. Here, we address the problem of identifying the “meaningful” subset in the large set of components (ICs). While this problem ultimately requires interpretation, we propose kurtosis of the component histogram, spatial clustering of… CONTINUE READING

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