Hello,

I have a block design that runs for 11 minutes and participants are asked to perform this scan twice within one scan - this is to give them a mental break. While in the scanner the participants are asked to perform three different tasks depending on the block (3 trials each at 36.4 seconds for each scan). My question is what is the general recommendation for combining and analyzing two data sets?

1) Should I concatenate the two and treat it as one data set? Do I concatenate after preprocessing has been completed for each individual scan, or do I concatenate and then preprocess? I've notices there is a difference in the Bold signal scale between the two scans in some instances.

2) Should I analyze the two separately and average the beta coefficient maps?

3) Should I average the two time series and then analyze the results?

4) Any other recommendations? Is there a resource that you can point me towards that deals with this question?

Thanks



Edited 1 time(s). Last edit at 03/18/2019 01:18PM by Dxc536.