Implementation of False Discovery Rate for Exploring Novel Paradigms and Trait Dimensions With ERPs

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.

Incidental memory for faces in children with different genetic subtypes of Prader-Willi syndrome

“…Unlike the Bonferroni correction that adjusts alpha levels based on the total number of tests conducted, the FDR method controls for the proportion of incorrect rejections of the null hypothesis among the tests for which the null hypothesis was rejected (i.e. tests with P values <0.05) and has been used successfully in ERP analyses (Crowley et al , 2012; Key and Corbett, 2014). …”

Consonant differentiation mediates the discrepancy between non‐verbal and verbal abilities in children with ASD

“…The false discovery rate (FDR) approach (Benjamini & Hochberg 1995) was used to control for multiple significance tests in the follow-up analyses. This approach was selected over the Bonferroni correction (Hochberg 1988) because the former is more statistically powerful and fits the inter-correlational nature of ERP data better than the latter (Crowley et al 2012).…”

“…This approach was selected over the Bonferroni correction (Hochberg ) because the former is more statistically powerful and fits the inter‐correlational nature of ERP data better than the latter (Crowley et al . ).…”

Face repetition detection and social interest: An ERP study in adults with and without Williams syndrome

“…To address the problem of multiple significance tests, false discovery rate (FDR; Benjamini & Hochberg, 1995) approach was used, and only those follow-up tests that remained significant based on the FDR criteria are reported. Unlike the Bonferroni correction that adjusts alpha levels based on the total number of tests conducted, the FDR method controls for the proportion of incorrect rejections of the null hypothesis among the tests for which the null hypothesis was rejected (i.e., tests with p-values less than .05) and has been used successfully in ERP analyses (Crowley et al, 2012; Key & Corbett, 2014). …”