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Comparison Between FWE and FDR Corrections for Threshold Free Cluster Enhancement Maps

by Krzysztof Gorgolewski, Amos Storkey, Mark Bastin, Cyril Pernet
17th Annual Meeting of the Organization for Human Brain Mapping ()

Abstract

Threshold Free Cluster Enhancement (TFCE) (Smith 2009) is a successful attempt to avoid the problem of selecting a cluster forming threshold in topological inference procedures. In this transformation, excursions sets are integrated over all the possible thresholds resulting in a new set of values reflecting both cluster height and support. In the original paper, Smith et al. proposed permutation based Family Wise Error (FWE) correction as a thresholding method. This, however, controls for the probability of making at least one false positive error, an assumption which is known to be conservative. A different approach is to control for the proportion of all the false positive errors among all the discoveries - False Discovery Rate (FDR). In this paper we investigate the power and false positive error rates achieved by both methods. Additionally we focus on a randomisation method suitable for single subject application, namely time points instead of group labels shuffling.

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