Table 4.

Summary of results from the best model for precuneus and neurocognitive measures

Variables in best model		ADAS-Cog11	MMSE	CERAD
	Estimate	Regression coefficient	Odds ratio	Odds ratio
Sexa	Estimate		1.68
	95% CI		1.09, 2.59
	P-value		0.02*
ApoE e4b	Estimate	0.35
	95% CI	0.01, 0.68
	P-value	0.04*
Years of Educationc	Estimate	−0.05	1.09	1.11
	95% CI	−0.09, −0.003	1.02, 1.17	1.03, 1.20
	P-value	0.04*	0.01*	0.005*
Left Precuneus Na-SIc	Estimate	8.40
	95% CI	3.51, 13.28
	P-value	0.001*
Right Precuneus Na-SIc	Estimate	−9.39	1064
	95% CI	−14.85, −3.93	14.78, 76880
	P-value	0.001*	0.001*
Left Cuneus Na-SIc	Estimate		0.01
	95% CI		0, 0.05
	P-value		<0.001*
Right Cuneus Na-SIc	Estimate	2.51
	95% CI	0.68, 4.33
	P-value	0.008*
Adjusted R squared		22.13	14.81	5.85
Akaike Information Criteria		82.00	81.00	78.00
Addition of cerebral amyloid status
Cerebral amyloid statusb	Estimate	0.49	0.53	0.27
	95% CI	0.01, 0.97	0.29, 0.96	0.13, 0.57
	P-value	0.045*	0.035*	<0.001*
Cerebral amyloid statusd	Estimate	0.18	1.07	0.55
	95% CI	−0.13, 0.49	0.66, 1.76	0.31, 0.98
	P-value	0.25	0.78	0.041*
Adjusted R squared		24.73	16.64	13.81
Akaike Information Criteria		84.00	83.00	80.00

^aLevel: Woman, Baseline: Man.

^bLevel: Positive, Baseline: Negative.

^cLevel: x + 1, Baseline: x.

^dLevel: Unknown, Baseline: Negative.

^* P < 0.05.