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

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.

► We examined the neural networks associated with the speed-accuracy tradeoff (SAT) with fMRI.
► We used the response signal method to systematically vary response speed on a nonverbal delayed-item recognition task.
► A covariance-based multivariate approach identified three neural networks that varied with response speed.
► We conclude that the SAT, when operating in a bottom-up manner, is driven by three distributed neural networks.