Preprocessing multiband resting state scan with fast TR

Hi there,

I am a relatively recent CONN user and neuroimaging enthusiast.

I have been tasked to analyse some resting state data acquired over 10 minutes (500 volume, 1.5 TR, acquired multiband and interleave). I am trying to look for an optimal preprocessing routine in CONN. Is the default MNI_fastacquisition.mat the most suitable in this case? Is there anything that I need to alter from the default setup? I am not sure if I have provided enough information but hopefully this is a start. 

Also, there seems to be a debate over whether or not to include slice timing correction, in spite of Sladsky et al 2011 paper, I have been advised to go without STC. Another colleagues advised to do preprocessing with and without (and look at the results). It seems to me the looking at using the preprocessed data to judged on which approach to take is a bit circular. If this is unavoidable, how do I measure objectively what is "good", and if it is avoidable, how do I go about making the decision instead?

Thanks everyone!

Best,
Steve