2020
DOI: 10.3389/fpsyg.2020.01555
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The Low-Frequency Fluctuation of Trial-by-Trial Frontal Theta Activity and Its Correlation With Reaction-Time Variability in Sustained Attention

Abstract: Reaction-time variability is a critical index of sustained attention. However, researchers still lack effective measures to establish the association between neurophysiological activity and this behavioral variability. Here, the present study recorded reaction time (RT) and cortical electroencephalogram (EEG) in healthy subjects when they continuously performed an alternative responding task. The frontal theta activity and reaction-time variability were examined trial by trial using the measures of standard de… Show more

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Cited by 3 publications
(2 citation statements)
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“…RT is an important measure for understanding sensorimotor performance in humans [24], and is defined as the time from stimulus onset to a response. Response variability, which is often calculated as SD of RT [25], is used as an index of sustained attention during tasks [26]. The latency of P300 is considered a measure of the stimulus classification speed or stimulus evaluation time [27] and is generally unrelated to response selection processes [28,29].…”
Section: Plos Onementioning
confidence: 99%
“…RT is an important measure for understanding sensorimotor performance in humans [24], and is defined as the time from stimulus onset to a response. Response variability, which is often calculated as SD of RT [25], is used as an index of sustained attention during tasks [26]. The latency of P300 is considered a measure of the stimulus classification speed or stimulus evaluation time [27] and is generally unrelated to response selection processes [28,29].…”
Section: Plos Onementioning
confidence: 99%
“…The use of electroencephalography (EEG) techniques to measure mid‐frontal neural processing in reinforcement learning has revealed the frontal midline 4–8 Hz theta (FMθ) rhythm to be of particular relevance for action monitoring (Cavanagh, Zambrano‐Vazquez, & Allen, 2012; Wang et al, 2020). FMθ activity is amplified in response to negative feedback indicating monetary non‐reward and monetary loss (Bernat et al, 2015; Cohen et al, 2007; Gruber et al, 2013; Mueller et al, 2015), and in goal‐directed control (Cavanagh et al, 2013; Cavanagh, Figueroa, et al, 2012; Cohen & Cavanagh, 2011; Cooper et al, 2019; Pinner & Cavanagh, 2017).…”
Section: Introductionmentioning
confidence: 99%