Table 1.

Modeling development trajectories of network components

					Regression coefficients
Component	Best model	AIC	Adjusted R 2	P	–log10(p)	β 1	β 2	β 3
Aa	age + age2 + sex	544.28	0.09	<0.01	3.89	2.13	−3.13	−0.15
Ba	age + age2 + sex	539.04	0.11	<0.01	4.96	−2.28	−2.63	0.29
Ca	age + age2	552.15	0.05	<0.01	2.37	2.71	−1.83	—
Da	age + age2	534.21	0.13	<0.01	6.21	−4.81	−1.93	—
Ea	age + age2	533.10	0.13	<0.01	6.45	4.18	−3.21	—
Fa	age + age2	544.10	0.08	<0.01	4.09	0.47	−4.23	—
Ga	age	520.00	0.19	<0.01	9.75	6.08	—	—
Ha	age	508.38	0.23	<0.01	12.29	6.79	—	—
Ia	age + age2	534.87	0.13	<0.01	6.07	4.61	−2.24	—
Ja	age + age2 + sex	526.97	0.16	<0.01	7.46	5.01	−1.90	−0.17
K	sex	558.34	0.01	0.09	1.04	—	—	−0.12
La	age	545.73	0.07	<0.01	4.04	3.85	—	—
M	age + sex	556.79	0.02	0.04	1.37	1.41	—	−0.15
Na	age	545.37	0.07	<0.01	4.12	−3.89	—	—
Oa	age + sex	515.58	0.21	<0.01	10.19	6.10	—	−0.17
Pa	age	551.21	0.04	<0.01	2.78	3.12	—	—
Qa	age	538.22	0.11	<0.01	5.73	4.65	—	—
R	age + age2	557.08	0.02	0.05	1.31	1.97	−1.46	—
Sa	age + age2	543.80	0.09	<0.01	4.16	4.00	−1.56	—
T	age	555.30	0.02	0.02	1.81	−2.41	—	—
U	intercept only	559.23	0.00	—	—	—	—	—
V	sex	557.16	0.02	0.05	1.34	—	—	−0.14

^aModel significant at P < 0.01.