Neural networks associated with the speed-accuracy tradeoff: Evidence from the response signal method

Helena M. Blumen, Yunglin Gazes, Christian Habeck, Arjun Kumar, Jason Steffener, Brian C. Rakitin, Yaakov Stern

Research output: Contribution to journalArticle

8 Scopus citations

Abstract

This functional neuroimaging (fMRI) study examined the neural networks (spatial patterns of covarying neural activity) associated with the speed-accuracy tradeoff (SAT) in younger adults. The response signal method was used to systematically increase probe duration (125, 250, 500, 1000 and 2000. ms) in a nonverbal delayed-item recognition task. A covariance-based multivariate approach identified three networks that varied with probe duration-indicating that the SAT is driven by three distributed neural networks.

Original languageEnglish (US)
Pages (from-to)397-402
Number of pages6
JournalBehavioural Brain Research
Volume224
Issue number2
DOIs
Publication statusPublished - Oct 31 2011
Externally publishedYes

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Keywords

  • Functional neuroimaging
  • Neural networks
  • Speed-accuracy tradeoff

ASJC Scopus subject areas

  • Behavioral Neuroscience

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