iDR (Iterative Duel-Regression)

Iterative Dual-Regression (iDR) with sparse prior is aimed to better estimate an individual’s neuronal activation using the results of an independent component analysis (ICA) method applied to a temporally concatenated group of fMRI data (i.e., Tc-GICA method) (Download).

Reference: Kim et al., Iterative approach of dual regression with a sparse prior enhances the performance of independent component analysis for group functional magnetic resonance imaging (fMRI) data, NeuroImage 2012, 63 (4): 1864-89. [ PubMed / Google Scholar ]



For any questions or comments, please contact Jong-Hwan Lee ( or Yong-Hwan Kim (