multiple datasets per subject

Hello,

I have a relatively complex design and I'd really appreciate your inputs on whether I have defined the project correctly. In one fMRI session, I have a 10 minutes resting state pre stimulation, 10 minutes stimulation (i.e. task with block design), and then another 10 min resting state post stimulation. I want to investigate the changes in connectivity from each step to the next. I also need to look into these connectivity changes for whole brain and cerebellum separately, since I am using SUIT corrected cerebellar volumes. Finally, the task portion itself has rest blocks (20s) and stimulation blocks (24s). So to be able to compare all possible changes in connectivity, I thought I should define 8 datasets for each subject:

2 resting state pre stimulation (1 for whole brain & 1 for suit cerebellum)
2 task-rest blocks (1 for whole brain & 1 for suit cerebellum)
2 task-stimulation blocks (1 for whole brain & 1 for suit cerebellum)
2 resting state post stimulation (1 for whole brain & 1 for suit cerebellum)

Then, the contrasts on the second level would be defined accordingly. For example, for comparing connectivity in task-stimulation block whole brain with post resting state whole brain the contrast will be: [0 0 0 0 1 0 -1 0]

Am I on the right track? Or is there a better way to do this? I really appreciate any recommendations that you might have. 
Thanks!