Table 2.

Associations between TOL performance and global network measures

TOL	Model	B (SE)	95% CI (BCa)	Beta	PbCa	R2
RT	Age	0.09 (0.015)	0.06, 0.12	0.595	< 0.001
	GE	9.79 (4.72)	0.84, 19.8	0.219	0.039	0.293
	Motion	− 16.46 (6.53)	− 30.6, − 5.7	− 0.230	0.008
	Age	0.08 (0.017)	0.04, 0.11	0.531	< 0.001
	Gcc	− 32.88 (53.72)	− 133.9, 68.8	− 0.089	0.567	0.252
	Motion	− 12.03 (7.69)	− 26.6, 2.3	− 0.168	0.113
ACC	Age	− 0.131 (.073)	− 0.28, − 0.009	− 0.241	0.079
	GE	− 31.1 (21.57)	− 76.3, 9.6	− 0.194	0.156	0.06
	Motion	− 21.62 (29.23)	− 69.0, 43.1	− 0.084	0.450
	Age	− 0.09 (.075)	− 0.24, 0.05	− 0.164	0.249
	Gcc	206.28 (155.46)	− 79.3, 515.3	0.154	0.187	0.05
	Motion	− 41.39 (27.02)	− 89.5, 13.3	− 0.161	0.117

For each analysis, age was entered in model 1, the network measure in model 2 and motion parameters in model 3. Only the results of model 3 are shown here. P values are bootstrapped using 2000 permutations

TOL Tower of London task, RT reaction time, ACC accuracy, SE standard error, CI confidence interval, BCa Bias corrected and accelerated, GE global efficiency, Gcc global clustering coefficient