Multivariate regression analysis using area under the curve of pain-related BA3, BA6 and BA24 activation in the left hemisphere as predictors of pain and distress ratings in Waking condition (step-1) and after entering SHCS scores as a covariate (step-2).

1 Step-1: F(4,19) = 8.79, p = 0.0007; R-Square = 0.70, Adj. R-Square = 0.62 2 Step-2:Entering SHCS: F(5,19) = 7.41, p = 0.0014; R-Square = 0.72, Adj. R-Square = 0.63 3 Step-1:F(1,19) = 22.71, p = 0.0002; R-Square = 0.56, Adj. R-Square = 0.53 4 Step-2: Entering SHCS: F(2,19) = 11.60, p = 0.0007; R-Square = 0.58, Adj. R-Square = 0.53 5 Step-1: F(2,19) = 16.75, p<.0001; R-Square = 0.66, Adj. R-Square = 0.62 6 Step-2: Entering SHCS: F(3,19) = 16.94, p<.0001; R-Square = 0.76, Adj. R-Square = 0.71 7 Step-1: F(4,19) = 7.95, p = 0.0036; R-Square = 0.48, Adj. R-Square = 0.42 8 Step-2: Entering SHCS: F(3,19) = 5.18, p = 0.011; R-Square = 0.49, Adj. R-Square = 0.39 9 Non Significant 10 Non Significant 11 Step-1: F(1,19) = 16.81, p =. 0007; R-Square = 0.48, Adj. R-Square = 0.45 12 Step-2: Entering SHCS: F(2,19) = 14.58, p =. 0002; R-Square = 0.63 Adj. R-Square = 0.59 Multivariate regression analysis using area under the curve of pain-related BA3, BA6 and BA24 activation in the left hemisphere as predictors of pain and distress ratings in Waking condition (step-1) and after entering SHCS scores as a covariate (step-2).