Table 5. Effects of age and age² together on nodal graph theory metrics, as modeled by Eq. 1.

‘ns’ corresponds to non-significant effect. FDR corrected within model across all nodal metrics tested (q < 0.05). Bolded entries survive FDR across all metrics and all nodes within model. Non-bolded entries were survived FDR within metric but did not survive FDR across all metrics tested.

	Betweenness Centrality	Clustering	Degree	Regional Efficiency
Age
L Cuneus	ns	ns	10 (0.0035)	ns
L Entorhinal	ns	ns	13 (0.00024)	ns
L Inferior Parietal	−72 (4.6×10−6)	0.24 (0.00052)	−12 (1.2×10−4)	−0.10 (4.5×10−4)
L Lat Occipital	−54 (3.7×10−5)	0.25 (0.0021)	−7.2 (0.0059)	ns
L Parahippocampal	ns	−0.50 (9.6×10−3)	14 (0.00043)	0.16 (0.00020)
L Paracentral	−130 (0.0011)	ns	ns	ns
L Postcentral	−24 (0.0069)	ns	−9.1 (0.0025)	−0.072 (0.0088)
L Post Cingulate	220 (0.00044)	−0.22 (3.4×10−6)	19 (6.4×10−4)	0.14 (6.9×10−4)
L Precentral	−120 (0.00088)	ns	−9.5 (0.0099)	−0.082 (0.0051)
L Rostral Ant Cingulate	ns	ns	10 (0.0096)	ns
L Rostral Mid Frontal	−95 (0.0012)	0.26 (0.0020)	−10 (0.0017)	−0.091 (0.0040)
L Sup Frontal	ns	ns	11 (0.0085)	0.086 (0.0055)
L Supra-marginal	ns	ns	−5.9 (0.010)	ns
L Frontal Pole	ns	ns	−8.2 (0.0020)	−0.34 (0.0053)
R Caudal Ant Cingulate	−44 (0.0086)	0.21 (0.0029)	−11 (0.0026)	−0.091 (0.0075)
R Isthmus of the Cingulate	−100 (0.011)	ns	ns	ns
R Parahippocampal	ns	ns	ns	0.12 (0.0056)
R Paracentral	−54 (0.0049)	ns	ns	ns
R Postcentral	ns	−0.34 (5.1×10−6)	12 (0.00065)	0.10 (0.0014)
R Precuneus	−190 (0.0026)	ns	ns	ns
R Rostral Ant Cingulate	−63 (0.0052)	ns	−7.7 (0.0054)	ns
R Rostral Mid Frontal	ns	ns	−7.2 (0.0021)	ns
R Sup Temporal	−50 (0.0012)	ns	−9.5 (2.1×10−4)	−0.091 (2.9×10−5)
R Supra-marginal	ns	ns	ns	0.077 (0 0066)
Age2
L Entorhinal	ns	ns	−6.3 (0.0010)	ns
L Inferior Parietal	32 (0.00033)	ns	5.0 (0.00020)	0.050 (0.00023)
L Parahippocampal	ns	0.22 (0.0021)	ns	ns
L Post Cingulate	ns	0.95 (0.00047)	−8.2 (0.00088)	−0.054 (0.0011)
R Postcentral	ns	0.17 (6.9×10−5)	ns	ns
R Sup Temporal	ns	ns	5.0 (2.5×10−5)	0.045 (0.00019)