Paradoxical results of adaptive false discovery rate procedures in neuroimaging studies

Philip T. Reiss, Armin Schwartzman, Feihan Lu, Lei Huang, Erika Proal

Research output: Contribution to journalArticlepeer-review


Adaptive false discovery rate (FDR) procedures, which offer greater power than the original FDR procedure of Benjamini and Hochberg, are often applied to statistical maps of the brain. When a large proportion of the null hypotheses are false, as in the case of widespread effects such as cortical thinning throughout much of the brain, adaptive FDR methods can surprisingly reject more null hypotheses than not accounting for multiple testing at all-i.e., using uncorrected p-values. A straightforward mathematical argument is presented to explain why this can occur with the q-value method of Storey and colleagues, and a simulation study shows that it can also occur, to a lesser extent, with a two-stage FDR procedure due to Benjamini and colleagues. We demonstrate the phenomenon with reference to a published data set documenting cortical thinning in attention deficit/hyperactivity disorder. The paper concludes with recommendations for how to proceed when adaptive FDR results of this kind are encountered in practice.

Original languageEnglish
Pages (from-to)1833-1840
Number of pages8
Issue number4
StatePublished - Dec 2012
Externally publishedYes


  • Adjusted p-values
  • Attention deficit/hyperactivity disorder
  • Cortical thickness
  • False discovery rate
  • Multiple testing
  • Q-values

All Science Journal Classification (ASJC) codes

  • Neurology
  • Cognitive Neuroscience


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