Implementation of false discovery rate for exploring novel paradigms and trait dimensions with ERPs

Academic Article

Abstract

  • False discovery rate (FDR) is a multiple comparison procedure that targets the expected proportion of false discoveries among the discoveries. Employing FDR methods in event-related potential (ERP) research provides an approach to explore new ERP paradigms and ERP-psychological trait/behavior relations. In Study 1, we examined neural responses to escape behavior from an aversive noise. In Study 2, we correlated a relatively unexplored trait dimension, ostracism, with neural response. In both situations we focused on the frontal cortical region, applying a channel by time plots to display statistically significant uncorrected data and FDR corrected data, controlling for multiple comparisons. Copyright © 2012 Taylor & Francis Group, LLC.
  • Published In

    Digital Object Identifier (doi)

    Author List

  • Crowley MJ; Wu J; McCreary S; Miller K; Mayes LC
  • Start Page

  • 559
  • End Page

  • 577
  • Volume

  • 37
  • Issue

  • 6