Canonical Correlation Analysis for Data Fusion and Group Inferences

  • Correa N
  • Adali T
  • Li Y
 et al. 
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Abstract

Data-driven analysis methods, such as blind source separation (BSS) based on independent component analysis (ICA), have proven very useful in the study of brain function, in particular when the dynamics are hard to model and underlying assumptions about the data have to be minimized. Many problems in medical data analysis involve the analysis of multiple data sets, either of the same type as in a group study where inferences are based on the same modality, e.g., group inferences from functional ... Read More »

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Authors

  • Nicolle Correa

  • Tulay Adali

  • Yi-Ou Li

  • Vince Calhoun

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