Skip to main content
. 2018 Jul 10;12:276. doi: 10.3389/fnhum.2018.00276

Table 1.

Prediction performance using linear regression model.

Threshold Features R2 Adjusted R2 Weights (%) MSE r(pred, actual)
L_MFG 13.242
R_IFG_oper 12.236
L_IFG_tri 12.556
R_Rolandic_oper 10.399
P < 0.05 L_SMA 0.994 0.986 9.058 0.0039 ± 0.0011 0.948 ± 0.0503
L_ hippocampus 9.623
R_ lingual 11.854
R_ postcentral 9.306
L_MTG 11.725
L_MFG 15.558
R_Rolandic_oper 18.738
P < 0.01 L_postcentral 0.966 0.950 25.337 0.0056 ± 0.0017 0.916 ± 0.0236
R_postcentral 19.650
L_supramarginal 20.716

R2, the coefficient of determination; adjusted R2, the adjusted coefficient of determination; MSE, mean square error; r(pred, actual), the Pearson’s correlation coefficient between the predicted values and the actual values; weights, the relative importance of independent variables; L_MFG, left middle frontal gyrus; R_IFG_oper, pars opercularis of right inferior frontal gyrus; L_IFG_tri, pars triangularis of left inferior frontal gyrus; R_Rolandic_oper, pars opercularis of right rolandic area; L_SMA, left supplementary motor area; L_hippocampus, left hippocampus; R_lingual, right lingual gyrus; R_postcentral, right postcentral gyrus; L_MTG, left middle temporal gyrus; L_postcentral, left postcentral gyrus; L_supramarginal, left supramarginal gyrus.