Dear FSL Users,
I have data from a task I am attempting to analyze in which each subject completed 2 runs of a simple probabilisitic learning task. I am planning to examine both the choice and outcome phases of this task. The main decision and outcome EVs in each run would be the same (e.g., Correct Decision, Incorrect Decision, Positive Outcome, Negative Outcome). However, the 2 runs differ in terms of the context under which participants performed the task (e.g., Run A: approach motivation––earn as many points as possible for your performance, Run B: avoidance motivation––try not to lose points). I am trying to figure out what the best way would be to examine differences in the neural responses to positive vs. negative outcomes, for example, under approach vs. avoidance contexts. Would this best be done by, at the second level, creating an EV for each run (i.e., Approach: 1, Avoidance: -1) and then setting 2 contrasts for that EV (i.e., 1, -1)?
I hope this is clear; thank you in advance for any suggestions.
Best,
Dominic
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