. Author manuscript; available in PMC: 2022 Sep 1.

Published in final edited form as: J Affect Disord. 2021 May 28;292:161–171. doi: 10.1016/j.jad.2021.05.054

Table 2.

Final unconditional growth curve models of average region-of-interest (ROI)-to-ROI connectivity within four resting-state networks as defined by the Seitzman-300 ROI functional atlas. Parameters were estimated using restricted maximum likelihood.

Predictors	Default Mode Network		Frontoparietal Network		Salience Network		Reward Network
	Estimates	95% Confidence	Estimates	95% Confidence	Estimates	95% Confidence	Estimates	95% Confidence

Intercept	.1717 ^***	.1615 – .1819	.1651 ^***	.1530 – .1773	.2349 ^***	.2169 – .2530	.0597 ^***	.0507 – .0688
Linear Effect of Time	−0.0045 ^***	−0.0067 – −0.0023	−0.0027 ^*	−0.0052 – −0.0001	.0002	−0.0012 – .0015	.0007	−0.0002 – .0016
Quadratic Effect of Time	.0002 ^**	.0001 – .0004	.0002 ^*	.0000 – .0004
Random Effects
σ²	.0011	.0014	.0035	.0017
τ₀₀	.0011	.0016	.0034	.0003
Intraclass Correlation	.5083	.5366	.4915	.1305
Marginal R² / Conditional R²	.067 / 0.541	.013 / 0.543	.000 / 0.492	.012 / 0.141

Note.

p<.05

^**

p<.01

^***

p<.001.