Table 3.

Conditional 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. In all cases likelihood ratio tests indicated superior fit for the simpler unconditional growth curves.

	Default Mode Network		Frontoparietal Network		Salience Network		Reward Network
Predictors	Estimates	95% Confidence	Estimates	95% Confidence	Estimates	95% Confidence	Estimates	95% Confidence
Intercept	.1762 ***	.1614 – .1911	.1732 ***	.1550 – .1913	.2292 ***	.2023 – .2562	.0641 ***	.0506 – .0776
Linear Effect of Time	−.0056 ***	−.0084 – −.0028	−.0019	−.0053 – .0014	.0006	−.0047 – .0058	−.0015	−.0050 – .0019
Quadratic Effect of Time	.0003 ***	.0001 – .0006	.0002	−.0001 – .0004	−.0001	−.0005 – .0003	.0001	−.0001 – .0004
Treatment (MBCT)	.0051	−.0150 – .0253	−.0062	−.0308 – .0183	.0189	−.0177 – .0554	−.0091	−.0277 – .0096
Age	.0006	−.0004 – .0016	.0016 *	.0004 – .0029	−.0012	−.0031 – .0006	.0002	−.0006 – .0010
Sex (Male)	−.0209 *	−.0406 – −.0012	−.0184	−.0427 – .0058	−.0111	−.0467 – .0245	−.0006	−.0167 – .0156
Treatment × Linear Time	.0029	−.0014 – .0074	−.0020	−.0072 – .0032	−.0002	−.0083 – .0079	.0027	−.0025 – .0080
Treatment × Quadratic Time	−.0003	−.0006 – .0000	.0001	−.0003 – .0005	.0002	−.0004 – .0008	−.0001	−.0005 – .0003
Random Effects
σ2	.0011		.0014		.0035		.0017
τ00	.0011		.0015		.0031		.0003
Intraclass Correlation	.5002		.5210		.4715		.1474
Marginal R2 / Conditional R2	.112 / .556		.084 / .561		.064 / .506		.037 / .179

Note.

^*p<.05

^**p<.01

^***p<.001