Graph analysis of flow-responsive network. A, Correlation matrix for the 126 functional nodes. Color bar indicates correlation coefficient. B, Amplitude adjusted Fourier transform null model correlation matrix. C, We computed the degree and participation of the graph from Figure 3 using lowering correlation thresholds from 0.9 (light gray) to 0.5 (black). D, Spatial localization of the representative 126 nodes from our eight functional clusters, colored as in Figure 2. The light sheet enters the brain from the right, which gives us as better signal on that side and explains the observed assymetry. E, Graph showing functional edges between nodes with correlation coefficients exceeding 0.6. F, The sizes of the nodes represent the degree (number of connections) of each node. Larger nodes have more connections. G, Participation coefficient between functional classes (fraction of different classes with which each node is connected), with larger nodes having stronger participation scores. H, Bar plots of mean degree and mean participation (±SD, n = 13 fish) across all nodes from each of the eight functional cluster. p Values and mean differences for the multiple comparisons can be found in Tables 1 and 2 for degrees and participation, respectively. I, Scatter plots of the difference of mean degree and mean participation from H, for each fish, comparing the h-t clusters to their equivalent clusters in other directions.