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

doi:10.1016/j.bbr.2011.06.004

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 journal › Article › peer-review

10 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 language	English (US)
Pages (from-to)	397-402
Number of pages	6
Journal	Behavioural Brain Research
Volume	224
Issue number	2
DOIs	https://doi.org/10.1016/j.bbr.2011.06.004
State	Published - Oct 31 2011
Externally published	Yes

Keywords

Functional neuroimaging
Neural networks
Speed-accuracy tradeoff

ASJC Scopus subject areas

Behavioral Neuroscience

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10.1016/j.bbr.2011.06.004

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title = "Neural networks associated with the speed-accuracy tradeoff: Evidence from the response signal method",

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.",

keywords = "Functional neuroimaging, Neural networks, Speed-accuracy tradeoff",

author = "Blumen, {Helena M.} and Yunglin Gazes and Christian Habeck and Arjun Kumar and Jason Steffener and Rakitin, {Brian C.} and Yaakov Stern",

note = "Funding Information: This work was supported by NIA RO1-AG026158 and T32AG00261 .",

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T2 - Evidence from the response signal method

AU - Blumen, Helena M.

AU - Gazes, Yunglin

AU - Habeck, Christian

AU - Kumar, Arjun

AU - Steffener, Jason

AU - Rakitin, Brian C.

AU - Stern, Yaakov

N1 - Funding Information: This work was supported by NIA RO1-AG026158 and T32AG00261 .

PY - 2011/10/31

Y1 - 2011/10/31

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AB - 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.

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KW - Neural networks

KW - Speed-accuracy tradeoff

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

Abstract

Keywords

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