Hello,
at the moment I’m writing my bachelor thesis in mathematics using fMRI-data, which come from a biological psychology group. They employed a rapid event-related design so that the duration of the inter-stimulus- and inter-trial-intervals varies between 2 and 4 s. That is why the respective BOLD-responses probably superpose each other in a linear fashion. For my bachelor thesis I need separate BOLD-functions per each single trial. To achieve this aim, I try to model the data using the Generalized Linear Model (cf. first pages of Chapter 10 “Analysis of fMRI Timeseries” in “Human Brain Function”, 2nd Edition). However, I still do not know how I get the separate functions or rather: If you fix one point at the time series, how do you know which respective proportion of the signal results from the stimulus presented 2 s before, to that one presented 4 s before, to that one presented 6 s before and so on?
Does anybody know the answer?
I would be most appreciative of each advice!
Kind regards,
Maike
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