Spatial maps of resting state networks of patients after cardiac arrest

Description: These spatial maps represent resting state networks identified in 47 subjects 2-4 days post cardiac arrest, using an ICA approach. We provide both the spatial maps, as well as masks after thresholding on F>3.2 Preprocessed data were submitted to probabilistic independent component analysis (ICA) on a group level, using FSL’s MELODIC (Beckmann and Smith, 2004). This decomposed the BOLD data into 20 group-average spatially independent components. We identified 10 resting state networks, and 10 noise components.