Threatening visual stimuli influence response inhibition and error monitoring: An event-related potential study

Senderecka, Magdalena

doi:10.1016/j.biopsycho.2015.11.003

Cited by 47 publications

(64 citation statements)

References 103 publications

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“…Further research is surely needed to attain a thorough understanding of the associations between initial stages of sensory analysis and decisiveness. The P3 amplitude was larger for the successful than for the failed stop trials; this is a common result in SST studies (e.g., De Jong et al, 1990;Dimoska, Johnstone, & Barry, 2006;Greenhouse & Wessel, 2013;Hughes et al, 2012;Overtoom et al, 2002;Senderecka, 2016Senderecka, , 2018. The mixedeffects analysis revealed that, in line with what we observed for the N1 component, stop signals evoked less pronounced P3 in highly decisive individuals in both successfully and unsuccessfully inhibited trials.…”

Section: Stop-signal Processingsupporting

confidence: 84%

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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Section: Stop-signal Processingsupporting

confidence: 84%

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

et al. 2018

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“…In the present study, a pronounced P3 was elicited by lowfrequency stop-signal trials of both successful and unsuccessful inhibition, which is consistent with the context-updating hypothesis for the P3 (Donchin & Coles, 2010). Moreover, the stop-P3 was enhanced for successful relative to unsuccessful inhibition over central areas, which is in line with numerous previous studies (de Jong, Coles, Logan, & Gratton, 1990;Dimoska et al, 2003;Greenhouse & Wessel, 2013;Overtoom et al, 2002;Schevernels et al, 2015;Senderecka, 2016;Senderecka, Szewczyk, Wichary, & Kossowska, 2018;Shen, Lee, & Chen, 2014;Smith & Mattick, 2013) and supports the view that the stop-P3 is associated with inhibitory processing and the success of inhibition . Importantly, no group differences were found for the stop-P3 across successful and unsuccessful trials.…”

Section: Discussionsupporting

confidence: 93%

“…As expected, sensation seeking appears to be associated with abnormal performance monitoring, as evidenced by a reduced stop-N2 for high versus low sensation seekers. As in previous studies (Dimoska et al, 2003;Kok et al, 2004;Pliszka, Liotti, & Woldorff, 2000;Ramautar et al, 2004;Schevernels et al, 2015;Senderecka, 2016), the stop-N2 was enhanced on unsuccessful relative to successful stop trials over frontocentral areas. In literature, increased stop-N2 for unsuccessful versus successful inhibition has been attributed to two explanations.…”

Section: Discussionsupporting

confidence: 82%

“…This approach yielded comparable results for the stop-N2 and stop-P3 except that the significant interaction between inhibition and site for the stop-P3 disappeared, F(1, 39) = 0.87, p = 0.356, η p ² = 0.02. stop-signal presentation Ramautar et al, 2004;Ramautar, Kok, & Ridderinkhof, 2006). The detection of unsuccessful inhibition further increases the subjective salience of the stop signal and thus the amplitude of the stop-N2 (Schevernels et al, 2015;Senderecka, 2016;Senderecka, Grabowska, Szewczyk, Gerc, & Chmylak, 2012). According to this view, the blunted stop-N2 elicited by unsuccessful trials for high relative to low sensation seekers might reflect a reduced sensitivity to the adverse consequences among those high in sensation seeking.…”

Section: Discussionmentioning

confidence: 99%

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Abnormal performance monitoring but intact response inhibition in sensation seeking

et al. 2019

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The sensation‐seeking trait is a potential endophenotype for various addictive behaviors. Using a nonclinical sample, the current ERP study examined the effects of sensation seeking on performance monitoring and response inhibition. Twenty high sensation seekers and 21 low sensation seekers were selected from a large sample based on their sensation‐seeking score and performed a stop‐signal task while their EEG was recorded. High relative to low sensation seekers displayed similar response inhibition in terms of performance measure and stop‐P3 amplitudes. Compared to low sensation seekers, however, high sensation seekers exhibited a reduced stop‐N2 for unsuccessful, but not successful, inhibition. Moreover, an enhanced go‐N2 in response to go signals was observed for high versus low sensation seekers, irrespective of whether the go signals were followed by a stop signal or not. Together, our findings suggest that sensation seeking in nonclinical populations is related to individual variability in performance monitoring rather than response inhibition, which provides important implications for the prevention and intervention of addictive behaviors that are driven by trait sensation seeking.

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“…Indeed, increased top-down control is implemented if performance is incentivised or punished (Chiew & Braver, 2013;Riesel et al, 2012;Saunders et al, 2015a;Stürmer et al, 2011), when threatening images signal the need to inhibit a pre-potent response (Senderecka, 2016), after negative mood inductions (Kuhbandner & Zehetleitner, 2011; Affective neuroscience accounts of control also predict that awareness of internally generated emotional states should moderate control. Alexithymia reflects individual differences in the ability to detect and describe self-generated emotion (Taylor, Bagby, & Parker, 1999).…”

Section: The Emotive Nature Of Conflict and Control Implementationmentioning

confidence: 99%

The emotive nature of conflict monitoring in the medial prefrontal cortex

Saunders

Lin

Milyavskaya

et al. 2017

International Journal of Psychophysiology

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The detection of conflict between incompatible impulses, thoughts, and actions is a ubiquitous source of motivation across theories of goal-directed action. In this overview, we explore the hypothesis that conflict is emotive, integrating perspectives from affective science and cognitive neuroscience. Initially, we review evidence suggesting that the mental and biological processes that monitor for information processing conflict-particularly those generated by the anterior midcingulate cortex-track the affective significance of conflict and use this signal to motivate increased control. In this sense, variation in control resembles a form of affect regulation in which control implementation counteracts the aversive experience of conflict. We also highlight emerging evidence proposing that states and dispositions associated with acceptance facilitate control by tuning individuals to the emotive nature of conflict, before proposing avenues for future research, including investigating the role of affect in reinforcement learning and decision making.Keywords: emotion; cognitive control; motivation; event-related potentials; negative affect; medial prefrontal cortex;The Emotive Nature of Conflict 3 The emotive nature of conflict monitoring in the medial prefrontal cortexMonitoring performance for goal conflicting thoughts, feelings, and behaviours underlies flexible responding in complex, unpredictable environments. During smoking cessation, for example, quickly detecting impulses (e.g., the desire to smoke) or actions (e.g., picking up a cigarette) that conflict with the goal to quit can signal the need to control behaviour, safeguarding goal progress. Beyond unwanted temptations, conflict is evoked across diverse explanatory frameworks, ranging from high-level dissonant states that emerge when individual's hold multiple inconsistent ideologies, to seemingly lower-level conflicts that occur when stimulus dimensions cue mutually incompatible responses (e.g., Stroop conflict).Underscoring the theoretical ubiquity of conflict, detecting and overcoming some internal conflict or discord is fundamental to multiple seminal perspectives in western philosophy, psychology, and neuroscience (e.g

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Threatening visual stimuli influence response inhibition and error monitoring: An event-related potential study

Cited by 47 publications

References 103 publications

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

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

Abnormal performance monitoring but intact response inhibition in sensation seeking

The emotive nature of conflict monitoring in the medial prefrontal cortex

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