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Multi-scale Independent Component Clustering Algorithm (MICCA)

Naveau, Mikaël; Joliot, Marc

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).

Article:

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.

https://dx.doi.org/10.1007/s12021-012-9145-2

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