Figure 2.

The small worldness of the cortical weighted networks. The weighted network is sparser as the probability threshold increases (A). The selected threshold range of 0.01∼0.1 approximately corresponds to a sparsity range of 8∼27%. The cortical network has much higher local efficiency than the matched random network (B) but similar global efficiency (C) over the entire sparsity range, indicating small-world character. The error bar indicates 1 SD of the network efficiency across subjects. Statistically, there are significant differences in both local and global efficiency between cortical and matched random networks, over the entire sparsity range.