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. 2022 Aug 11;14:965923. doi: 10.3389/fnagi.2022.965923

Table 3.

Top 15 most discriminative nodal graph metrics.

Nodal graph metrics Mean value AAL brain regions Sub-network
SCD NC
Nodal efficiency 0.290 0.273 PHG.L DMN
Degree centrality 16.711 14.391 PHG.L DMN
Betweenness centrality 29.788 20.937 ORBinf.R DMN
Nodal efficiency 0.260 0.244 IFGoperc.R FTC
Nodal clustering coefficient 0.318 0.287 PoCG.L SH
Betweenness centrality 41.295 31.871 PHG.L DMN
Degree centrality 12.434 10.691 IFGoperc.R FTC
Nodal efficiency 0.296 0.280 IFGtriang.L FTC
Nodal local efficiency 0.376 0.344 PoCG.L SH
Nodal efficiency 0.278 0.260 SFGdor.R DMN
Nodal shortest path 0.811 1.381 SMA.L CTC
Degree centrality 17.332 15.560 IFGtriang.L FTC
Degree centrality 14.810 12.909 SFGdor.R DMN
Degree centrality 9.247 11.050 ORBsupmed.L DMN
Nodal efficiency 0.253 0.231 ORBsup.R FTC

AAL, automated anatomical labeling atlas; DMN, default mode network; FTC, frontoparietal task control; SH, sensory/somatomotor hand; CTC, cingulo-opercular task control.