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

Research output: Contribution to conferencePoster

Original languageEnglish
Publication statusPublished - 2011
Event17th Annual Meeting of the Organization for Human Brain Mapping - Centre des Congrès de Québec, Québec, Canada
Duration: 26 Jun 201130 Jun 2011

Conference

Conference17th Annual Meeting of the Organization for Human Brain Mapping
CountryCanada
CityQuébec
Period26/06/1130/06/11

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.

Event

17th Annual Meeting of the Organization for Human Brain Mapping

26/06/1130/06/11

Québec, Canada

Event: Conference

ID: 18241261