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

Autor:	Kelly F. Miller, Linda C. Mayes, Michael J. Crowley, Scott McCreary, Jia Wu
Rok vydání:	2012
Předmět:	Male False discovery rate Brain Mapping Principal Component Analysis Adolescent Article Frontal Lobe Young Adult Neuropsychology and Physiological Psychology Escape Reaction Research Design Multiple comparisons problem Statistics Multiple comparison procedure Developmental and Educational Psychology Trait Humans Female Noise (video) Child Psychology Evoked Potentials Personality Cognitive psychology
Zdroj:	Dev Neuropsychol
ISSN:	1532-6942 8756-5641
DOI:	10.1080/87565641.2012.694513
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1382b574dacc3271f9e0bade41b0defa https://doi.org/10.1080/87565641.2012.694513 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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