People tend to interpret t statistics as inferential statistics (evidence against the null) -- they implicitly or explicitly convert it to a p-value. There is some nuance between stating 'the correlation between PCC and hippocampus is .28' and 'the correlation between PCC and hippocampus is z=3.18'
I have 2 comments about that
* quite often, the p-value associated with the z or t score does not hold because there are unfulfilled assumptions (correlated noise etc)
* absolute connectivity values should be interpreted with caution. Some arbitrary preprocessing choices (global signal regression etc.) can alter them quite dramatically. In my view, what matters is how this varies across conditions (individuals, groups, etc.), assuming that this does not fluctuate too much owing to preprocessing choices --this has to be checked of course.