. 2018 Jun 8;64(1):249–267. doi: 10.3233/JAD-170880

Table 1.

Statistical parameters of PCA and OPLS-DA models for hippocampus, medial pre-frontal cortex (mPFC), and striatum

Region Model			Hippocampus		mPFC		Striatum
			WT-ctrl: Tg-ctrl	Tg-ctrl: Tg-TRF	WT-ctrl: Tg-ctrl	Tg-ctrl: Tg-TRF	WT-ctrl: Tg-ctrl	Tg-ctrl: Tg-TRF
PCA	ESI (+)
		A	2	4	2	4	4	4
		R²X_(cum)	0.724	0.989	0.706	0.976	0.970	0.962
		Q² _(cum)	0.235	0.876	0.091	0.811	0.708	0.719
		ESI (–)
		A	4	4	3	3	4	3
		R²X_(cum)	0.985	0.972	0.873	0.952	0.945	0.733
		Q² _(cum)	0.879	0.797	0.205	0.312	0.538	0.338
OPLS-DA	ESI (+)
		A	1+3	1+1	1+3	1+3	1+3	1+2
		R²X_(cum)	0.918	0.802	0.898	0.906	0.969	0.859
		R²Y_(cum)	1.000	1.000	1.000	1.000	1.000	1.000
		Q² _(cum)	0.994	0.997	0.950	0.992	0.999	0.985
		p (CV-ANOVA)	0.05	0.004	0.05	0.05	0.05	0.185
	ESI (–)
		A	1+3	1+1	1+3	1+3	1+3	1+3
		R²X_(cum)	0.978	0.787	0.934	0.951	0.932	0.937
		R²Y_(cum)	0.998	0.996	1.000	1.000	1.000	1.000
		Q² _(cum)	0.969	0.942	0.931	0.962	0.999	0.984
		p (CV-ANOVA)	0.05	0.086	0.05	0.05	0.05	0.05

A: component (first component for PCA and first component plus orthogonal component for OPLS-DA); R²X_(cum): total amount of the variation of the X variables explained by the model; R²Y_(cum): total amount of the variation of the Y variables explained by the model; Q² _(cum): total amount of the predictability of the model.