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. 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.