CanICA: Model-based extraction of reproducible group-level ICA patterns from fMRI time series

Gaël Varoquaux, Sepideh Sadaghiani, Jean Baptiste Poline +1

Spatial Independent Component Analysis (ICA) is an increasingly used data-driven method to analyze functional Magnetic Resonance Imaging (fMRI) data. To date, it has been used to e…