Hi FSL gurus
I've been having a discussion with a colleague and we'd appreciate some
listserv input! If you had a legacy dataset where you were concerned that
all event onsets could be out by one TR (for any given session), but had no
way of telling from runtime info (logfiles etc.), how would you deal with
this? Some possibilities seem to be
1. Analyze data with both onsets, and look at which gives you the expected
pattern
2. Use one set of onsets with temporal derivatives, which should account for
any timeshift
3. Look at the error associated with the models and for each
subject/session, take the model with the lower error.
I think 1 could be a little tricky justify if you later wanted to publish,
and am not sure about 2 or 3.. maybe 2 is most defensible? Any perspectives?
Thanks!
Chris
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