At present, only one height threshold (e.g., Z = 2.3) and cluster probability threshold (e.g., p < .05) can be implemented per pipeline run. This presents an issue when you want to do one type of multiple comparisons correction for a particular derivative but not others (e.g., for dual regression, one might want to correct for the fact that there are 10 regressions (e.g., use p < .005) -- assuming use of the 10 Smith 2009 network maps). At present, you would have to run dual regression derivatives separately from other derivatives.
At present, only one height threshold (e.g., Z = 2.3) and cluster probability threshold (e.g., p < .05) can be implemented per pipeline run. This presents an issue when you want to do one type of multiple comparisons correction for a particular derivative but not others (e.g., for dual regression, one might want to correct for the fact that there are 10 regressions (e.g., use p < .005) -- assuming use of the 10 Smith 2009 network maps). At present, you would have to run dual regression derivatives separately from other derivatives.