I’m trying to a single trial pattern analysis trying to derive beta estimates from events that are very close to each other in time. One event follows the next immediately so I got an event at 30s then at 32s and at 34s. I’m using the least square all (LSA) approach and have implemented this in nistats. However, I’m getting strange results, I’m wondering whether this may be due to the fact that the events are so close to each other in time?
Is there a work around for that? Would it help to run separate model for each of the events instead of estimating them all in one model?
Thanks for your help,