Dear all,
I am currently analyzing some fMRI data of a 2-run monetary incentive delayed task. I found that about 1/2 subjects showed no response (error) in at least 1 trial, and I would like to add a new condition of error trial(s) to the 1st-level model to account for the effect. However, since the other 1/2 subjects made no mistakes during the task, the 1st-level model for different subjects or different runs of the same subject may be different. I defined the contrast with "1" for conditions of interest (e.g., reward anticipation in each run) and "0" for other conditions (including error trials, if exist) and used the contrast files for the 2rd-level analysis, did I specify the 1st-level model correctly?
Thanks in advance.
Vincent
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