  In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on
the accuracy of a widely used statistical test in functional neuroimaging.
Here, we leverage nonparametric methods that control the false discovery rate
to offer more nuanced, quantitative guidance about which findings in the
existing literature can be trusted. We show that, in the task studies examined
by Eklund et al., most clusters originally reported to be significant are
indeed trustworthy by the false discovery rate benchmark.
