The role of trait impulsivity in response inhibition: Event-related potentials in a stop-signal task

Shen, I-Hsuan; Lee, Der-Song; Chen, Chia‐Ling

doi:10.1016/j.ijpsycho.2013.11.004

Cited by 47 publications

(44 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although the mean N2 amplitude was larger for US trials, the difference between US and SS trials was far from significant. Similar results have been reported by other authors (Pliszka, Liotti, & Woldorff, 2000;Schmajuk, Liotti, Busse, & Woldorff, 2006;Shen, Lee, & Chen, 2014). We further analyzed the original ERPs and found that the difference between SS and US trials was also not significant (p = .095), indicating that the procedures applied (Laplacian filter, stop-minus-go ERPs, and PCA) were not critical for this result.…”

Section: Discussionsupporting

confidence: 87%

When the brain simulates stopping: Neural activity recorded during real and imagined stop-signal tasks

González-Villar

Bonilla

Carrillo-de-la-Peña

2016

Cogn Affect Behav Neurosci

View full text Add to dashboard Cite

It has been suggested that mental rehearsal activates brain areas similar to those activated by real performance. Although inhibition is a key function of human behavior, there are no previous reports of brain activity during imagined response cancellation. We analyzed event-related potentials (ERPs) and time-frequency data associated with motor execution and inhibition during real and imagined performance of a stop-signal task. The ERPs characteristic of stop trials-that is, the stop-N2 and stop-P3-were also observed during covert performance of the task. Imagined stop (IS) trials yielded smaller stop-N2 amplitudes than did successful stop (SS) and unsuccessful stop (US) trials, but midfrontal theta power similar to that in SS trials. The stop-P3 amplitude for IS was intermediate between those observed for SS and US. The results may be explained by the absence of error-processing and correction processes during imagined performance. For go trials, real execution was associated with higher mu and beta desynchronization over motor areas, which confirms previous reports of lower motor activation during imagined execution and also with larger P3b amplitudes, probably indicating increased top-down attention to the real task. The similar patterns of activity observed for imagined and real performance suggest that imagination tasks may be useful for training inhibitory processes. Nevertheless, brain activation was generally weaker during mental rehearsal, probably as a result of the reduced engagement of top-down mechanisms and limited error processing.

show abstract

Section: Discussionsupporting

confidence: 87%

When the brain simulates stopping: Neural activity recorded during real and imagined stop-signal tasks

González-Villar

Bonilla

Carrillo-de-la-Peña

2016

Cogn Affect Behav Neurosci

View full text Add to dashboard Cite

show abstract

“…However, typically very weak relationships are observed between various trait impulsivity (questionnaire) measures and objective performance on impulsivity tasks (Franken et al, 2008; Cyders and Coskunpinar, 2011; Shen et al, 2014; Caswell et al, 2015). Possibly, interoceptive ability, enabling more accurate detection of internal bodily sensations, e.g., heart rate (Craig, 2009), may determine why and when we behave impulsively.…”

Section: Introductionmentioning

confidence: 99%

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

2018

View full text Add to dashboard Cite

Objectives: The consequences of impulsive decisions and actions represent a major source of concern to the health and well-being of individuals and society. It is, therefore, crucial to understand the factors which contribute to impulsive behaviors. Here, we examined how personality traits of behavioral tendencies, interoceptive sensibility as well as transient mood states predict behavioral performance on impulsivity and risk-taking tasks.Method: 574 (121 males; age 18–45) individuals completed self-report personality measures of impulsivity, reward sensitivity, punishment avoidance as well as interoceptive sensibility, undertook a mood assessment and performed a set of cognitive tasks: delay discounting (temporal impulsivity), probability discounting (risk-taking), and reflection impulsivity task. Data were interrogated using principal component analysis, correlations and regression analyses to test mutual relationships between personality traits, interoceptive sensibility, mood state and impulsive behaviors.Results: We observed a clear separation of measures used, both trait and behavioral. Namely, sensation-seeking, reward sensitivity and probability discounting reflected risk-taking. These were separate from measures associated with impulsivity, both trait (negative and positive urgency, premeditation, perseverance) and behavioral (delayed discounting and reflection impulsivity). This separation was further highlighted by their relationship with the current emotional state: positive affect was associated with increased risk-taking tendencies and risky decision-making, while negative emotions were related to heightened impulsivity measures. Interoceptive sensibility was only associated with negative emotions component.Conclusion: Our findings support the proposal that risk-taking and impulsivity represent distinct constructs that are differentially affected by current mood states. This novel insight enhances our understanding of impulsive behaviors.

show abstract

“…As described in Supporting Information Appendix 1 of ERP data obtained from a study reported by Shen et al . (), Sheu et al . () observed that ERP waveforms exhibit a pronounced time dependence, which is far more complex than the autocorrelation structures commonly assumed in the literature (Bugli and Lambert, ; Baayen et al ., ).…”

Section: Introductionmentioning

confidence: 84%

“…The above findings are consistent with results reported by Shen et al . () using the standard (type III) ANOVA on aggregate data. These authors found that participants in the high impulsive group had smaller ERP amplitudes around 300 ms than those belonging to the low impulsive group and concluded that the high impulsive group may have a less efficient inhibitory control (Shen et al ., ).…”

Section: Application To the Impulsivity Erp Experimentsmentioning

confidence: 99%

A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis

et al. 2019

View full text Add to dashboard Cite

Motivated by the analysis of complex dependent functional data such as event‐related brain potentials (ERP), this paper considers a time‐varying coefficient multivariate regression model with fixed‐time covariates for testing global hypotheses about population mean curves. Based on a reduced‐rank modeling of the time correlation of the stochastic process of pointwise test statistics, a functional generalized F‐test is proposed and its asymptotic null distribution is derived. Our analytical results show that the proposed test is more powerful than functional analysis of variance testing methods and competing signal detection procedures for dependent data. Simulation studies confirm such power gain for data with patterns of dependence similar to those observed in ERPs. The new testing procedure is illustrated with an analysis of the ERP data from a study of neural correlates of impulse control.

show abstract

The role of trait impulsivity in response inhibition: Event-related potentials in a stop-signal task

Cited by 47 publications

References 70 publications

When the brain simulates stopping: Neural activity recorded during real and imagined stop-signal tasks

When the brain simulates stopping: Neural activity recorded during real and imagined stop-signal tasks

Risk-Taking and Impulsivity: The Role of Mood States and Interoception

A functional generalized F‐test for signal detection with applications to event‐related potentials significance analysis

Contact Info

Product

Resources

About