Dear Professor ;
Will appreciate your comments related to a problem with a design similar to this example, using 5 predictors , F test [0 0 0 0 1] were i get a lot of connections differences for every node (p 0.033) but when i try a T test to define if the correlation is positive [0 0 0 0 1] or negative [0 0 0 0 -1] NBS is unable to detect any difference at all (not significant results).

Using the F test, NBS also detects correlations for the rest of the predictors , for the contrasts [0 1 0 0 0], [0 0 1 0 0] and for the  [0 0 0 1 0], but ultimately a T test is only able to detect differences for the contrast [0 -1 0 0 0] and not for any of the others regressors.

Thanks for your time and precious help.
Juan P