CRLS-PCA Based Independent Component Analysis for fMRI Study

@article{Wang2005CRLSPCABI,
  title={CRLS-PCA Based Independent Component Analysis for fMRI Study},
  author={Ze Wang and Jiongjiong Wang and A. R. Childress and Hengyi Rao and J. A. Detre},
  journal={2005 IEEE Engineering in Medicine and Biology 27th Annual Conference},
  year={2005},
  pages={5904-5907}
}
  • Ze Wang, Jiongjiong Wang, +2 authors J.A. Detre
  • Published in
    IEEE Engineering in Medicine…
    2005
  • Computer Science, Medicine
  • Data reduction through conventional principal component analysis is impractical for temporal independent component analysis (tICA) on fMRI data, since the data covariance matrix is too huge to be manipulated. It is also computationally intensive for spatial ICA (sICA) on long time fMRI scans. To solve this problem, a cascade recursive least squared networks based PCA (CRLS-PCA) was used to reduce the fMRI data in this paper. Without the need to compute data covariance matrix CRLS-PCA can… CONTINUE READING

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