Table 5.

GEE linear mixed models predicting longitudinal memory decline

Predictor	Beta	P-value	Predictor	Beta	P-value
Two-way linear mixed model
Aβ 42/40 ratio	−0.760	0.360	BPND in PCC	2.506	<0.001
Aβ 42/40 ratio*age	0.016	0.177	BPND in PCC*age	−0.041	<0.001
FC DMN	−1.556	0.021	FC DMN	0.187	0.846
FC DMN*age	0.0208	0.034	FC DMN*age	−0.006	<0.001
Three-way interaction model
Aβ 42/40 ratio	−0.032	0.983	BPND in PCC	6.736	<0.001
FC DMN	−1.483	0.028	FC DMN	2.082	0.060
Aβ 42/40 ratio*age	0.005	0.825	BPND in PCC*age	−0.102	<0.001
Aβ 42/40 ratio*FC DMN	0.726	0.573	BPND in PCC*FC DMN	4.467	0.012
FC DMN*age	0.020	0.046	FC DMN*age	−0.034	0.039
Aβ 42/40 ratio*FC DMN*age	−0.011	0.551	BPND in PCC*FC DMN*age	−0.064	0.014

All models have been corrected for age at the time of examination, sex, and years of education and family ID was used as a random factor.

Aß, amyloid ß; DMN, default-mode network; DVR, distribution volume ratio; FC, functional connectivity; PCC, posterior cingulate cortex; GEE, generalized estimating equations.