Figure 5:

Schematic of application 3.1: In decomposition, the original fMRI data is expressed as a linear combination of spatial patterns and their associated time series - in ICA, the independence of spatial maps is optimized whereas in sparse dictionary learning, the sparsity of maps is encouraged. In clustering, time series or connectivity fingerprints of voxels are clustered to assign voxels to distinct functional networks.