(a) Network-based FC patterns of the DMN across four conditions (resting state, word scramble, paragraph scramble, intact story). Line width represents the pairwise correlation between different nodes (edge width) in DMN, while circle size represents the correlation between the same nodes (node size). In FC, the correlation of a node with itself is always 1, and the size of the red circles is, therefore, uninformative and fixed. In the ISFC framework, however, the size of the node denotes the correlation of the node across subjects (that is, ISC), so the node size can vary. (b) Network-based ISFC patterns within the DMN across the four conditions (resting state, word scramble, paragraph scramble, intact story). (c) Across-subject classification of task condition using ISFC and FC (four possible conditions, chance=25%). Classification was performed either using the mean correlation across all edges (left bars) or using the full ‘fingerprint' of the correlation pattern, which is a 10 × 10 matrix of pairwise correlations between brain regions (right bars). (d) Confusion matrices of FC (left) and ISFC (right) classification across the four conditions. Features for classification were the entire fingerprints (bottom) or only the mean of the fingerprint (top), used to decode condition (level of scrambling).