Functional neuroimaging data embodies a massive multiple testing problem, where 100 000
correlated test statistics must be assessed. The familywise error rate, the chance of any false …

Permutation methods can provide exact control of false positives and allow the use of non-
standard statistics, making only weak assumptions about the data. With the availability of fast …

Background Genomics and proteomics analyses regularly involve the simultaneous test of
hundreds of hypotheses, either on numerical or categorical data. To correct for the …

Background Do brain training games work? The beneficial effects of brain training games
are expected to transfer to other cognitive functions. Yet in all honesty, beneficial transfer …

In autism, physiological indices of selective attention have been shown to be abnormal even
in situations where behaviour is intact. This divergence between behaviour and physiology …

There is great interest in using automatic computational neuroanatomy tools to study ageing
and neurodegenerative disease. Voxel-based morphometry (VBM) is one of the most widely …

Automated detection of complex animal behaviors remains a challenging problem in
neuroscience, particularly for behaviors that consist of disparate sequential motions …

Background: Abnormal connectivity of the anticorrelated intrinsic networks, the task-negative
network (TNN), and the task-positive network (TPN) is implicated in schizophrenia …

This article extends false discovery rates to random fields, for which there are uncountably
many hypothesis tests. We develop a method for finding regions in the field's domain where …

Multiple testing methods to control the false discovery rate, the expected proportion of falsely
rejected null hypotheses among all rejections, have received much attention. It can be …