Table 2.

Multiple regression models predicting longitudinal tau accumulation

	EC FTP slopea			PHC FTP slope			IT FTP slope
	β	SE	p	β	SE	p	β	SE	p
Baseline predictors model: FTP slope ∼ age + EC FTP TP1 × global PiB TP1
Intercept	−0.000	0.001	0.99	0.000	0.001	0.86	−0.001	0.001	0.53
Age	0.000	0.000	0.06	0.000	0.000	0.63	0.000	0.000	0.08
EC FTP TP1	0.038	0.007	<0.001*	0.024	0.005	<0.001*	−0.001	0.008	0.95
Global PiB TP1	0.005	0.006	0.44	0.005	0.004	0.29	0.008	0.007	0.26
EC FTP TP1 global PiB TP1	0.002	0.02	0.94	−0.012	0.017	0.50	0.067	0.028	0.02*
Model	Adjusted R2: 0.42 F(65) = 13.26, p < 0.001			Adjusted R2: 0.29 F(65) = 8.11, p < 0.001			Adjusted R2: 0.20 F(65) = 3.98, p = 0.006
Longitudinal predictors model: FTP slope ∼ age + EC FTP slope × global PiB slope
Intercept				0.000	0.001	0.80	−0.000	0.001	0.83
Age				−0.000	0.000	0.72	0.000	0.000	0.94
EC FTP Slope				0.452	0.068	<0.001*	0.460	0.122	<0.001*
Global PiB Slope				0.033	0.045	0.47	0.076	0.078	0.33
EC FTP slope × global PiB slope				−5.014	3.695	0.180	4.349	6.399	0.50
Model				Adjusted R2: 0.43 F(64) = 13.77, p < 0.001			Adjusted R2: 0.22 F(64) = 5.73, p < 0.001

TP1, Time point 1 (baseline). EC, entorhinal cortex; PHC, parahippocampal cortex; IT, inferior temporal gyrus; FTP, Flortaucipir; PiB, Pittsburgh Compound B.

^aModels predicting to EC FTP slope were not able to be performed because of the inclusion of EC FTP slope as a primary predictor.

*p < 0.05, significant predictor.