Hi, I am trying to decide how to break down data for analysis for a tfMRI task with 6 runs, and I was wondering if it would be preferred to analyze each run separately and put them into a group level analysis, or if it is better to analyze all runs for each subject all together. The advantage of the former method would be better separation of trial conditions, but the disadvantage is each run will have fewer regressors than if I analyze the data all together (as few as 4 in some conditions). That cost seems like it may be balanced by greater sample variance for estimating fixed and random effects on a group level with 3dLME, 3dMVM or 3dMEMA since I will have 6 times as many inputs.
Do you have any suggestions please?
Thank you!