Figure 2:

RSNs and associated time courses for t-statistic and graph-theoretical analyses. (a) Spatial maps of 32 RSNs. RSNs were classified into 7 categories of brain networks: default mode network (DMN), cognitive control network (CON), visual network (VIS), auditory network (AUD), sensorimotor network (SM), sub-cortical network (SC), and cerebellar network (CB). The number next to each network name is the number of ICs belonging to that network. Different components with each network were colored differently. (b) At the individual subject level, the time courses associated with the 32 RSNs were transformed to the functional network connectivity (FNC), which was further used for the t-statistical analysis, and graphical theory (GT) analysis. Ventral DMN and attention network are shown as two examples of RSNs. (c) For the GT analyses, through thresholding and binarization, the FNC was transformed to an adjacency matrix (left panel), which could be described in a graph consisting of nodes and edges (right panel). The same subject used in (b) and (c) was randomly selected for illustration.