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iDR

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 ] 

Download iDR toolbox


For any questions or comments, please contact Jong-Hwan Lee (jonghwan_lee@korea.ac.kr) or Yong-Hwan Kim (whiteneng@gmail.com).

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