Table 2.

Cross-lagged panel model results linking amygdala volumes and intrinsic SC and CC network functional connectivity.

	Subcortical Network			Cognitive Control Network
Parameter Estimated	b(SE)	r/β	p	b(SE)	r/β	p
amygdala volume → connectivity	.006 (.10)	.004 and .008	.96	.075 (.065)	.087 and .16	.25
connectivity → amygdala volume	.035 (.082)	.025 and .019	.67	−.077 (.17)	−.027 and −.026	.64
autoregressive paths: amygdala volume	1.11 (.10)	.58 and .83	< .001	1.11 (.10)	.58 and .83	< .001
autoregressive paths: connectivity	.42 (.070)	.43 and .41	< .001	.50 (.090)	.39 and .48	< .001
within-person correlations time 1	.002 (.001)	.10	.20	−.001 (.001)	−.089	.26
time 2 and time 3	−.003 (.005)	−.13 and −.13	.20	.002 (.003)	.13 and .15	.51

Amygdala volumes were linearly transformed by multiplying mean volumes (adjusted for total brain volume per participant) by 1000; unstandardized coefficients reflect the relationships between intrinsic network connectivity and linearly transformed amygdala volumes; “b” = unstandardized parameter estimate; “SE” = standard error about the unstandardized parameter estimate; “r/β” = standardized parameter estimate (correlation/prediction, respectively), listed for T1 → T2 then T2 → T3 when applicable