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. Author manuscript; available in PMC: 2020 Apr 1.
Published in final edited form as: Psychoneuroendocrinology. 2018 Nov 20;102:16–23. doi: 10.1016/j.psyneuen.2018.11.024

Table 3.

Results from regression models predicting change in learning rate and change in reward sensitivity on the PRT from change in IL-6

Outcome Predictor b β SE t p-value CI(lower) CI (upper)
△Learning Rate
△IL-6 1.06 .21 0.95 1.12 .274 −0.88 3.00
BMI 0.003 .01 0.11 0.03 .977 −0.22 0.22
Sex −0.48 −.10 1.18 −0.41 .688 −2.89 1.94
Cohort −1.37 −.34 0.83 −1.66 .109 −3.06 0.32
Intercept 0.69 4.14 0.17 .868 −7.79 9.17
△Reward Sensitivity
△IL-6 0.31 .18 0.28 1.08 .288 −0.27 0.89
BMI −0.03 −.20 0.04 −0.76 .451 −0.12 0.05
Sex 0.10 .07 0.22 0.46 .651 −0.36 0.56
Cohort 0.09 .07 0.28 0.32 .751 −0.49 0.67
Intercept 0.54 1.08 0.50 .620 −1.68 2.76

Note. IL-6= interleukin-6 (log transformed); BMI= Body Mass Index; △ = change (calculated as post-vaccine minus pre-vaccine). Learning rate(log(ε1ε)) and reward sensitivity (logβ) coefficients were derived from computational modeling of trial-level responses (Huys et al., 2013).