Table 2 Results of mediation analysis for the model (Fig. 1b) where a given connectivity measure (similarity, network, or within- and between-network functional connectivity measures) mediated the relationship between age and ACE-R total score.

Model Param	a		b		c’		c		ab
Model Param	z	p	z	p	z	p	z	p	z	p
Similarity Measure
pVis	−3.8796	0.0001	3.6077	0.0003	−0.4874	0.6260	−2.1125	0.0346	−3.6431	0.0003
Visu	−3.4577	0.0005	3.1698	0.0015	0.0178	0.9858	−2.0682	0.0386	−2.9065	0.0037
hVis	−3.8864	0.0001	3.0076	0.0026	−1.1004	0.2711	−2.1487	0.0317	−2.7406	0.0061
mSMN	−3.7305	0.0002	2.7337	0.0063	−0.8887	0.3742	−2.1026	0.0355	−2.3858	0.0170
lSMN	−3.6269	0.0003	2.7589	0.0058	−0.8218	0.4112	−2.0405	0.0413	−2.5633	0.0104
Network Measures
Path length	−3.8565	0.0001	1.5860	0.1127	−0.9646	0.3348	−1.9797	0.0477	−1.9739	0.0484
WNFC/BNFC
Aud	−3.2347	0.0012	3.6457	0.0003	−1.1871	0.2352	−2.1320	0.0330	−3.0275	0.0025
Lang – pVis	−2.0236	0.0430	−2.4032	0.0163	−2.5009	0.0124	−2.1569	0.0310	2.1190	0.0341

Sex was controlled in all regression analyses.
a is the coefficient relating the independent variable (age) to the mediator (connectivity measure), b is the coefficient relating the mediator to the dependent variable (ACE-R total score), c’ is the coefficient relating the independent variable to the dependent variable adjusted for the mediator, c is the coefficient relating the independent variable and the dependent variable without mediation, and ab is the (mediated) indirect effect. z corresponds to the standardized value and p the corresponding p-value computed using bootstrap method (10,000 samples). pVis – primary visual; Visu – visuospatial; hVis – high visual; mSMN – medial sensorimotor network; lSMN – lateral sensorimotor network; Aud – auditory network; Lang – language network; WNFC – within-network functional connectivity; BNFC – between-network functional connectivity.

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