Modeling the interrelationships between brain activity and trait attention measures to predict individual differences in reaction times in children during a Go/No-Go task

Brittany K. Taylor, William J. Gavin, Kevin Grimm, Deborah E. Passantino, Patricia L. Davies

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Many researchers are utilizing event-related potentials (ERPs) to better understand brain-behavior relationships across development. The present study demonstrates how structural equation modeling (SEM) techniques can be used to refine descriptions of brain-behavior relationships in a sample of neurotypical children. We developed an exploratory latent variable model in which trait measures of maturation and attention are related to neural processing and task behaviors obtained during a cued Go/No-Go task. Model findings are compared to results of traditional analysis techniques such as bivariate correlations. The data suggest that more sophisticated statistical approaches are beneficial to accurately interpreting the nature of brain-behavior relationships.

Original languageEnglish (US)
Pages (from-to)222-231
Number of pages10
JournalNeuropsychologia
Volume109
DOIs
StatePublished - Jan 31 2018

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Individuality
Reaction Time
Brain
Evoked Potentials
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Keywords

  • Brain-behavior relationships
  • Development
  • ERPs
  • Event-related potentials
  • SEM
  • Structural equation modeling

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Behavioral Neuroscience

Cite this

Modeling the interrelationships between brain activity and trait attention measures to predict individual differences in reaction times in children during a Go/No-Go task. / Taylor, Brittany K.; Gavin, William J.; Grimm, Kevin; Passantino, Deborah E.; Davies, Patricia L.

In: Neuropsychologia, Vol. 109, 31.01.2018, p. 222-231.

Research output: Contribution to journalArticle

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