The error-related negativity (ERN) is an electrophysiological marker of motor impulsiveness on the Barratt Impulsiveness Scale (BIS-11) during adolescence

Taylor, Jasmine B.; Visser, Troy A. W.; Fueggle, Simone N.; Bellgrove, Mark A.; Fox, Allison M.

doi:10.1016/j.dcn.2018.01.003

Cited by 23 publications

(18 citation statements)

References 75 publications

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“…This contrasts to what has been found in the larger literature on the development of the ERN, an ERP with a neural origin and timing similar to the N2 (Gruendler et al, 2011;Van Noordt, Campopiano, & Segalowitz, 2016). The ERN seems to show continued development through adolescence (Davies, Segalowitz, & Gavin, 2004a, 2004bLadouceur, Dahl, & Carter, 2004;Santesso & Segalowitz, 2008;Santesso, Segalowitz, & Schmidt, 2006;Taylor, Visser, Fueggle, Bellgrove, & Fox, 2018). This is also what we found in the sample of the present study (Overbye et al, 2019).…”

Section: Relationships Between Age and Electrophysiological Componentscontrasting

confidence: 99%

Electrophysiological and behavioral indices of cognitive conflict processing across adolescence

Øverbye

Walhovd

Fjell

et al. 2020

Preprint

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Cognitive control enables goal-oriented adaptation to a fast-changing environment and has a slow developmental trajectory that spans into young adulthood. The specifics of this development are still poorly understood, as are the neurodevelopmental mechanisms that drive it. In a cross-sectional sample of participants 8-19 years old (n = 108), we used blind source separation of EEG data recorded in a Flanker task to derive electrophysiological measures of attention and the processing of cognitive conflict, including a frontal negative component corresponding to the N2 and a parietal positive component corresponding to the P3. Additionally, we examined multiple behavioral measures of interference control derived from the Flanker, Stroop, and Anti-saccade tasks. We found a positive association between age and the amplitude of the parietal positive component, while there was no relationship between age and the amplitude of the frontal negative component. A stronger frontal negative amplitude was, however, ageindependently related to better performance on both Stroop and Anti-saccade measures of interference control. Finally, we examined post-conflict behavioral adjustment on the Flanker task. A Gratton effect was found with slower reaction times on current congruent and better accuracy on current incongruent trials when preceded by incongruent as opposed to congruent trials. The Gratton effect on accuracy was positively associated with age. Together, the findings suggest a multifaceted developmental pattern in neurocognitive mechanisms for conflict processing across adolescence, with a more protracted development of the parietal positive compared to the frontal negative component.

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Section: Relationships Between Age and Electrophysiological Componentscontrasting

confidence: 99%

Electrophysiological and behavioral indices of cognitive conflict processing across adolescence

Øverbye

Walhovd

Fjell

et al. 2020

Preprint

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“…It is worth noting that a largely overlapping pattern of results that indicates reduced ERN amplitudes was found in individuals with a tendency toward impulsive responding (Pailing, Segalowitz, Dywan, & Davies, ; Ruchsow et al, ; Stahl & Gibbons, ) or with high self‐reported impulsivity (Martin & Potts, ; Potts, George, Martin, & Barratt, ; Taylor, Visser, Fueggle, Bellgrove, & Fox, ). Thus, taken together with the previous findings, the present data support the assumption that both decisiveness and impulsivity may represent a maladaptive extreme of decision making that is linked to low response control and reduced error monitoring.…”

Section: Discussionmentioning

confidence: 98%

Individual differences in decisiveness: ERP correlates of response inhibition and error monitoring

et al. 2018

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The aim of the current study was to examine whether and how self-reported decisiveness is associated with response inhibition and performance monitoring. We hypothesized that these two cognitive control mechanisms, both of which are often associated with decision making, would differ in individuals varying in decisiveness. We focused on ERP correlates and behavioral measures of inhibition and error processing in the stop-signal task. We expected a negative relationship between decisiveness and behavioral measures of inhibitory control. We also hypothesized that stop-signal-locked N1 and P3 components and response-locked error-related negativity (ERN) would be less pronounced when participants self-reported higher levels of decisiveness. Correlation analysis identified an association between high decisiveness, long stop-signal reaction time, and low inhibition rate. Analysis with mixed-effects linear models revealed that stop signals evoked less pronounced N1 and P3 in individuals scoring higher on decisiveness in both successfully and unsuccessfully inhibited trials. Additionally, high decisiveness was linked to reduced error monitoring, as indicated by decreased ERNs. Importantly, we also found positive association between P3 onset latency and decisiveness, suggesting that individuals scoring higher on this measure have relatively less ability to rapidly engage the stopping process. Thus, our findings primarily indicate that decisiveness is negatively associated with the efficiency of both response inhibition and error monitoring. They also suggest that highly decisive people may share some characteristics of diminished cognitive control with impulsive individuals.

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“…B. Taylor et al, 2018). There are, however, also studies that have found no relationship between ERN amplitude and age during this developmental period (Eppinger et al, 2009;Richardson et al, 2011).…”

Section: Introductionmentioning

confidence: 90%

Error processing in the adolescent brain: Age-related differences in electrophysiology, behavioral adaptation, and brain morphology

Øverbye

Walhovd

Paus

et al. 2018

Preprint

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Detecting errors and adjusting behaviour appropriately are fundamental cognitive abilities that are known to improve through adolescence. The underlying mechanisms of this development, however, are still poorly understood. To address this knowledge gap, we performed a thorough investigation of error processing in a Flanker task in a cross-sectional sample of participants 8 to 19 years of age (n = 98). We examined age-differences in event related potentials known to be associated with error processing, namely the error-related negativity (ERN) and the error positivity (Pe), as well as their relationships with task performance, post-error adjustments and regional cingulate cortex thickness and surface area. We found that ERN amplitude increased with age, while Pe amplitude remained constant. A more negative ERN was associated with higher task accuracy and faster reaction times, while a more positive Pe was associated with higher accuracy, independently of age. When estimating post-error adjustments from trials following both incongruent and congruent trials, post-error slowing and post-error improvement in accuracy both increased with age, but this was only found for posterror slowing when only analysing trials following incongruent trials. There were no age-independent associations between either ERN or Pe amplitude and cingulate cortex thickness or area measures.

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The error-related negativity (ERN) is an electrophysiological marker of motor impulsiveness on the Barratt Impulsiveness Scale (BIS-11) during adolescence

Abstract: These findings provide preliminary evidence that ERN amplitude is an electrophysiological marker of self-reported motor impulsiveness (i.e. acting without thinking) during adolescence.

Cited by 23 publications

References 75 publications

Electrophysiological and behavioral indices of cognitive conflict processing across adolescence

Electrophysiological and behavioral indices of cognitive conflict processing across adolescence

Individual differences in decisiveness: ERP correlates of response inhibition and error monitoring

Error processing in the adolescent brain: Age-related differences in electrophysiology, behavioral adaptation, and brain morphology

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