Published January 11, 2022 | Version V1
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Multi-scale Independent Component Clustering Algorithm (MICCA)

  • 1. University of Bordeaux, CNRS, CEA
  • 2. University of BordeaUniversity of Bordeaux, CNRS, CEAux


MICCA is a Matlab toolbox that implements a multi-scale unsupervised clustering algorithm of independent components detected using single-subject independent component analysis (ICA) from a subject cohort. ICA is a powerful way to investigate functional connectivity of the human brain recorded by functional magnetic resonance imaging (fMRI).


A novel group ICA approach based on multi-scale individual component clustering. Application to a large sample of fMRI data, Mikaël Naveau, Gaëlle Doucet, Nicolas Delcroix, Laurent Petit, Laure Zago, Fabrice Crivello, Gaël Jobard, Emmanuel Mellet, Nathalie Tzourio-Mazoyer, Bernard Mazoyer, Marc Joliot, Neuroinformatics (2012) 10:269-285.


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Is supplement to
Journal article: 10.1007/s12021-012-9145-2 (DOI)