Figure 2
Comparison of the creative task session and resting-state session using correlation map indicating a similar intrinsic network organization. (A) Group average of the creative task and resting-state functional connectivity matrices using z-scored Pearson correlation. The brain networks have been represented on the sides. Intra-module functional connections can be seen within the functional systems. The functional connectivity matrix for the overall creative task (on the left), while the resting-state functional connectivity matrix for the overall resting-state session (on the right) represents correlations of intrinsic functional network architecture. (B) A standard community detection approach called fast-greedy algorithm (Clauset et al.) was used to partition the overall creative task session and resting-state session into functional brain networks. Each node colour specifies a community. (C) Division of the longer creative task session into two halves, i.e. task session 1 and task session 2 and comparison of results with the resting-state session. Network-specific static configuration results for the task session 1, task session 2 and resting-state session represented by functional connectivity matrices and the community detected networks.
