Dear fsl users,
According to "Validating cluster size inference :random field and
permutation methods" by Hayasaka and T.Nichols the cluster size inference
based on permutation tests behaves well for any threshold smoothness and
even the choice of threshold does not influence the permutation test
much.There's also a 0.01 value which is proposed as a "default value".
According to "Threshold-Free Cluster-Enhancement Addressing the problem of
threshold dependence in cluster inference" by St.Smith and T.Nichols minor
adjustments in the cluster forming threshold can result in dramatic changes
of the resulting inferences.
i find these two approaches contradicting, so can you please clarify this
cause i probably misunderstood something here.
Thank you
Antonios-Constantine Thanellas
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