Hi AFNI users,
I am relatively new to AFNI (though not to neuroimaging), and I am wondering if someone might be able to provide some suggestions on the best response model to employ to analyze an event-related task. This is a relatively simple reward-learning task in which the timing structure is as follows:
Decision (2s)
ISI (1-4s)
Outcome (2s)
ITI (4-6s)
I was hoping to simply apply a double gamma HRF convolution function, as is the default in other packages, but based on the multitude of choices AFNI offers, I am not certain whether something else is more optimal, or which of the existing options will best allow me to use a double gamma HRF.
Any suggestions would be more than welcome.
Thanks!
d
