Is reaction time variability consistent across sensory modalities? Insights from latent variable analysis of single-trial P3b latencies

Saville, Christopher W. N.; Shikhare, Sailee; Iyengar, Sarayu; Daley, David; Intriligator, James; Boehm, Stephan; Feige, Bernd; Klein, Christoph

doi:10.1016/j.biopsycho.2012.07.006

Cited by 36 publications

(32 citation statements)

References 37 publications

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“…6). Similar correlations across visual and auditory modalities have been reported previously in control participants when examining visual and auditory P3b responses (Saville et al, 2012). These findings indicate that neural variability measures are a robust characteristic of individual subjects regardless of the sensory modality in which they are measured.…”

Section: Correlated Variability Across Sensory Modalitiessupporting

confidence: 78%

Increased ongoing neural variability in ADHD

Gonen-Yaacovi

Arazi

Shahar

et al. 2016

Cortex

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Section: Correlated Variability Across Sensory Modalitiessupporting

confidence: 78%

Increased ongoing neural variability in ADHD

Gonen-Yaacovi

Arazi

Shahar

et al. 2016

Cortex

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“…Although previous work has shown that stimulus and response-locked P3b latency variability are highly correlated in healthy young participants (Saville et al, 2012), there is also evidence for response-locked variability being specifically increased in attention-deficit hyperactivity disorder (Saville et al, 2015b), suggesting that the two are dissociable.…”

Section: Discussionmentioning

confidence: 85%

“…Shorter stimulus-locked (−600 to 1400 ms) and response-locked segments (−1000 to 400 ms) were then cut from the longer segments, so that they shared a common baseline. Single-trial analysis was then carried out using the procedure from Saville et al (2014Saville et al ( , 2011aSaville et al ( , 2012Saville et al ( , 2015a, with modifications described below. We concatenated average stimulus-locked ERPs along the timeaxis, and ran spatial principal components analysis on these data using the ERP-PCA toolkit (Dien, 2010).…”

Section: Eeg Datamentioning

confidence: 99%

A neural analogue of the worst performance rule: Insights from single-trial event-related potentials

et al. 2016

Self Cite

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The worst performance rule is the tendency for participants' slowest reaction times to correlate more with psychometric intelligence than their faster reaction times. Reaction times, however, are influenced by the duration of multiple perceptual, attentional, and motor sub-processes, and it is unclear whether the same pattern exists in these sub-processes as well. We used single-trial event-related potentials to identify whether a worst performance rule pattern could be found in stimulus and response-locked P3b latency distributions and scores on a test of non-verbal psychometric intelligence. Fifty participants carried out a set of working memory oddball tasks, while electroencephalographic data were collected, and the British Version of the Intelligence Structure Test, in a separate session. Single-trial P3b latencies were identified in stimulus and response-locked data and a novel quantile bootstrapping method was used to identify which quantiles of the P3b latency distributions correlated most with test scores. In stimulus-locked data, correlations between quantile mean and test scores became more negative with increasing quantile, showing clear evidence of a worst performance rule pattern. In response-locked data, low scorers showed more extreme latencies in both tails of the distribution. However we did not observe a worst performance rule in behavioural data. These data suggest that psychometric intelligence is also associated with response-related processes, which may also contribute to the association between psychometric intelligence and reaction time variability.

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“…High ISV in healthy adults is associated with increases in both types of P3b latency variability, suggesting increased variability in both decision-making and response-implementation (Saville et al, 2011(Saville et al, , 2012. However recent research found increased response-locked P3b latency variability, but normal stimulus-locked P3b latency variability in ADHD (Saville et al, 2014a), and Parkinson's disease (Verleger et al, 2013) implying that the neural underpinnings of ISV differ between populations.…”

Section: Contents Lists Available At Sciencedirectmentioning

confidence: 93%

“…The procedure used in Saville et al (2011Saville et al ( , 2012Saville et al ( , 2014aSaville et al ( , 2014b was used for single-trial analysis. Average stimulus-locked ERPs for all participants were concatenated along the time-axis, and spatial principal component analysis was run on these data using the ERP-PCA toolkit (Dien, 2010).…”

Section: Data Analysis Eeg Datamentioning

confidence: 99%