Table 3 Different mechanisms underlying resolution of reward and affective PEs

From: Separable neural signals for reward and emotion prediction errors

 

Round 1 – 2 Update (Expectations)

Rounds 2-5 Update (Expectations)

Round 1 – 5 Update (Experience)

 

t-score (p-value)

\(\beta \pm {SE}\) (p-value)

\(\beta \pm {SE}\) (p-value)

Fair partner

 Reward

9.53 (<0.001)

0.0\(1\pm\)0.005 (0.02)

 Valence

9.23 (<0.001)

0.0\(1\pm\)0.01 (0.44)

−0.04\(\pm\)0.01 (<0.001)

 Arousal

5.00 (<0.001)

–0.001\(\pm\)0.02 (0.94)

–0.08\(\pm\)0.02 (<0.001)

Neutral partner

 Reward

–3.00 (0.005)

–0.0\(1\pm\)0.01 (0.09)

 Valence

–1.44 (0.16)

-0.02\(\pm\)0.01 (0.16)

0.02\(\pm\)0.01 (0.052)

 Arousal

–1.45 (0.15)

–0.03\(\pm\)0.01 (0.05)

−0.01\(\pm\)0.01 (0.35)

Unfair partner

 Reward

–14.19 (<0.001)

–0.0\(2\pm\)0.01 (0.006)

 Valence

–10.36 (<0.001)

0.01\(\pm\)0.02 (0.51)

0.07\(\pm\)0.02 (<0.001)

 Arousal

–2.28 (0.03)

−0.01\(\pm\)0.02 (0.55)

–0.003\(\pm\)0.01 (0.82)

  1. Rounds 1–2 update (expectations) shows the results of paired t-tests comparing expectation values from round 2 to round 1. Rounds 2–5 update (expectations) shows the results of LMMs comparing how expectation values change between rounds 2–5. Rounds 1–5 update (experience) shows the results of LMMs comparing how emotional experiences change between rounds 1–5. Reward experiences were defined by task parameters and are stable across rounds (see Methods). Full statistical info can be found in Supplementary Table 810. All statistical tests are two-sided with no adjustments for multiple comparisons