Figure 6. .
Group-level network topology. (A) Small-worldness was estimated in all structural networks: clustering coefficient was normalized within each node, averaged across nodes (C/Cnull), then plotted as a function of normalized characteristic path length (L/Lnull). Topology measures averaged across 50 degree- and strength-preserving null networks were used for normalization. Networks above the identity line (dotted black) are characterized by the small-world attribute. Tractometry networks are indicated by the arrow. (B) Normalized rich-club curves are shown for COMMIT, NoS, and SIFT2 (top), as well as ICVF, RD, FA, and R1 (bottom). A single binary network (dotted gray line) is also shown (bottom) as binary connectivity was uniform across weighted networks. The normalized rich-club coefficient (ϕnorm) was computed across the range of degree (k) and normalized against 1,000 null networks (degree-preserving for binary and degree- and strength-preserving for weighted networks). A ϕnorm value > 1 (horizontal dashed black lines) over a range of k indicates the presence of a rich club. (C) Nodewise hubness scores are projected onto Schaefer-400 cortical and 14-ROI subcortical surfaces. Scores (0–5) were computed for each node as +1 point for all nodes in top 20% strength, betweenness, closeness, and eigenvector centrality, as well as bottom 20% clustering coefficient. The matrix (right) shows the Euclidean distance between all pairs of nodal hubness vectors.