Table 1.
Effect | Dependent variable | Time window (ms) | F-value | p-value | direction |
---|---|---|---|---|---|
Feedback valence | |||||
ERP | 300–400 | 17.18* | <.001* | win>loss | |
ERP | 400–600 | 3.66 | .075 | win>loss | |
Feedback valence: theta | |||||
Power | 300–400 | 28.65* | <.001* | loss>win | |
Power | 400–600 | 36.66* | <.001* | loss>win | |
Phase | 300–400 | 8.84* | .009* | loss>win | |
Phase | 400–600 | 6.51* | .021* | loss>win | |
Feedback valence: gamma | |||||
Power | 300–400 | 4.91* | .042* | win>loss | |
Power | 400–600 | ||||
Phase | 300–400 | ||||
Phase | 400–600 | ||||
Reward probability: wins | |||||
ERP | 300–400 | 22.28* | <.001* | 25>50>75 | |
ERP | 400–600 | 21.77* | <.001* | 25>50>75 | |
Power | 300–400 | 6.99* | .007* | 25>50>75 | |
Power | 400–600 | 6.52* | .006* | 25>50>75 | |
Phase | 300–400 | 22.89* | <.001* | 25>50>75 | |
Phase | 400–600 | 24.86* | <.001* | 25>50>75 | |
Reward probability: losses | |||||
ERP | 300–400 | ||||
ERP | 400–600 | ||||
Power | 300–400 | ||||
Power | 400–600 | 3.53* | .043* | 50>75>25 | |
Phase | 300–400 | ||||
Phase | 400–600 | ||||
Learning: wins | |||||
ERP | 300–400 | 3.84* | .040*Ω | 253>251; 751>733 | |
ERP | 400–600 | 8.45* | .003* | 253>251; 751>733 | |
Power (theta) | 300–400 | ||||
Power (theta) | 400–600 | ||||
Phase (theta) | 300–400 | ||||
Phase (theta) | 400–600 | ||||
Learning: losses | |||||
ERP | 300–400 | ||||
ERP | 400–600 | ||||
Power (theta) | 300–400 | ||||
Power (theta) | 400–600 | ||||
Phase (theta) | 300–400 | 2.06 | .152 | ||
Phase (theta) | 400–600 | 2.02 | .155 |
Notes: indicates statistically significant effects. Subscripts indicate position within block (first third or last third). See text for degrees of freedom.
Results from all ERP analyses in the 300–400 ms window were also significant when using peak-to-peak measurements except this one. Only statistics from Fz are reported. Entries with an F-value less than 2 are omitted.