Hi everyone,
Our group conducted a event-related fMRI experiment. A little question in first-level GLM construction confuses us these days:
Each trial in our experiment contained a cue screen (2 sec.), several decision points (5 sec.) and several inter-stimuli-interval (ISI, 2 to 5 sec. randomly) between decision points. The ISI was a white cross presented on a black background. Should we include the timeseries of the ISI in the first-level GLM?
We are pleasure to hear your advice. Thanks in advance!
Hi,
I would not model the ISI, as it should correspond to the implicit baseline of the experiment. Including it would might degrade the conditioning of the design matrix.
HTH,
Bertrand
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Hi Bertrand,
Thanks for your reply. The idea in FSL course - first-level analysis also recommends not to model the null events in the GLM.
Could I ask a follow-up question if you don’t mind? We are interested in the effect of decision points in our experiment, not the cue screen. Should I model the timeseries of cue screen in the first-level GLM?
Thanks,
Qunjun
Yes, i would model the cue, to avoid the cue effect being confounded with the decision condition.
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Got it, thanks for all your help : )