A Feature-Selective Independent Component Analysis Method for Functional MRI

@article{Li2007AFI,
  title={A Feature-Selective Independent Component Analysis Method for Functional MRI},
  author={Yi-Ou Li and T{\"u}lay Adali and Vince D. Calhoun},
  journal={International Journal of Biomedical Imaging},
  year={2007},
  volume={2007},
  pages={160 - 188}
}
In this work, we propose a simple and effective scheme to incorporate prior knowledge about the sources of interest (SOIs) in independent component analysis (ICA) and apply the method to estimate brain activations from functional magnetic resonance imaging (fMRI) data. We name the proposed method as feature-selective ICA since it incorporates the features in the sample space of the independent components during ICA estimation. The feature-selective scheme is achieved through a filtering… CONTINUE READING
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