Effects of social context and predictive relevance on action outcome monitoring

Koban, Léonie; Pourtois, Gilles; Bediou, Benoît; Vuilleumier, Patrik

doi:10.3758/s13415-012-0091-0

Cited by 63 publications

(71 citation statements)

References 110 publications

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“…The FRN is a scalp event-related potential (ERP) time-locked to the delivery of decision outcomes, and it is characterised by a larger negative-going deflection for non-rewards compared to rewards [12]. Evidence indicates that the FRN is linked to activity in medial frontal areas, and in particular the ACC [13]–[15]. This distinction between ERPs to positive and negative outcomes is now perceived as reflecting a fundamental ability to differentiate between valenced outcomes and has become the object of intense investigation [12], [16]–[23].…”

Section: Introductionmentioning

confidence: 99%

Relative Changes from Prior Reward Contingencies Can Constrain Brain Correlates of Outcome Monitoring

et al. 2013

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It is well-known that the affective value of an environment can be relative to whether it reflects an improvement or a worsening from a previous state. A potential explanation for this phenomenon suggests that relative changes from previous reward contingencies can constrain how brain monitoring systems form predictions about future events. In support of this idea, we found that changes per se relative to previous states of learned reward contingencies modulated the Feedback-Related Negativity (FRN), a human brain potential known to index discrepancies between predictions and affective outcomes. Specifically, we observed that environments with a 50% reward probability yielded different FRN patterns according to whether they reflected an improvement or a worsening from a previous environment. Further, we also found that this pattern of results was driven mainly by variations in the amplitude of ERPs to positive outcomes. Overall, these results suggest that relative changes in reward probability from previous learned environments can constrain how neural systems of outcome monitoring formulate predictions about the likelihood of future rewards and nonrewards.

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Section: Introductionmentioning

confidence: 99%

Relative Changes from Prior Reward Contingencies Can Constrain Brain Correlates of Outcome Monitoring

et al. 2013

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“…As such, these studies, and others examining observational learning (Kozba, Thoma, Daum, & Bellebaum, 2011;Shane, Stevens, Harenski, & Kiehl, 2008), suggest that the medial-frontal reward system may underlie observational learning and, thus, is activated when people observe outcomes experienced by others. Furthermore, more recent work by Koban, Pourtois, Bediou, and Vuilleumier (2012) has further extended the observational learning literature by demonstrating that social context can also enhance or reduce the functional efficacy of the medial-frontal reward system. Specifically, Koban et al found that reward processing was enhanced when participants were in a cooperative, relative to a competitive, situation-a result suggesting that social context also influences reward evaluation by the medialfrontal system.…”

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confidence: 99%

Perceived ownership impacts reward evaluation within medial-frontal cortex

Krigolson

Hassall

Balcom

et al. 2013

Cogn Affect Behav Neurosci

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Ownership is a powerful construct. Indeed, in a series of recent studies, perceived ownership has been shown to increase attentional capacity, facilitate a memorial advantage, and elicit positive attitudes. Here, we sought to determine whether self-relevance would bias reward evaluation systems within the brain. To accomplish this, we had participants complete a simple gambling task during which they could "win" or "lose" prizes for themselves or for someone else, while electroencephalographic data were recorded. Our results indicated that the amplitude of the feedback error-related negativity, a component of the event-related brain potential sensitive to reward evaluation, was diminished when participants were not gambling for themselves. Furthermore, our data suggest that the ownership cues that indicated who would win or lose a given gamble either were processed as a potential for an increase in utility (i.e., gain: self-gambles) or were processed in a nonutilitarian manner (other-gambles). Importantly, our results suggest that the medial-frontal reward system is sensitive to perceived ownership, to the extent that it may not process changes in utility when they are not directly relevant to self.

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“…The absence of strong agency effects might be related to the experimental setup, as we used an animated representation of a choice that had to be observed rather than asking participants to observe a real person performing the task. Indeed, many studies studying the observation of behavior used setups in which one participant observed another participant (e.g., de Bruijn, Ruissen, & Radke, ; Koban et al, ; van Schie, Mars, Coles, & Bekkering, ). In previous studies by our group, however, we reliably observed agency effects using designs comparable to the one applied in the present study (e.g., Bellebaum et al, ; Bellebaum & Colosio, ).…”

Section: Discussionmentioning

confidence: 99%

“…Concerning the electrophysiological correlates of feedback processing, effects on feedback‐locked ERPs were found for both delay and agency manipulations, with a larger FRN valence effect (more negative amplitudes for negative than positive feedback) for immediate compared to delayed feedback (Arbel, Hong, Baker, & Holroyd, ; Opitz, Ferdinand, & Mecklinger, ; Peterburs, Kobza, & Bellebaum, ; Weinberg, Luhmann, Bress, & Hajcak, ; Weismuller & Bellebaum, ; but see Wang, Chen, Lei, & Li, , for a negative finding) and for feedback given to active performers versus for observed persons (Bellebaum & Colosio, ; Bellebaum, Kobza, Thiele, & Daum, ; Koban, Pourtois, Bediou, & Vuilleumier, ). These findings suggest a reduced involvement of the striatum/ACC in feedback processing when feedback does not follow an own action immediately.…”

Section: Introductionmentioning

confidence: 99%

Effects of feedback delay and agency on feedback‐locked beta and theta power during reinforcement learning

et al. 2019

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Feedback‐based learning initiated by dopamine (DA) cell firing is crucial for adaptive behavior. The nature and context of feedback can vary, however, affecting how feedback is processed. For example, the feedback‐related negativity (FRN) in the ERP in humans, which has been linked to the DA system, is reduced for delayed feedback and for observational compared to active learning. Recent research suggested that oscillations in the theta and beta band over the medio‐frontal cortex reflect distinct feedback processing mechanisms. In this study, we hypothesized that the power in both frequency bands is affected by feedback delay and agency. We thus investigated effects of feedback delay (1 s vs. 7 s) on induced theta and beta band power and the FRN in a probabilistic feedback learning task in two participant groups, one learning actively and one by observation. For theta and beta, a larger power difference between negative and positive feedback for immediate than delayed feedback was found, driven by positive feedback for beta and by negative feedback for theta, while no differential modulation by agency was seen for theta or beta power following positive and negative feedback. These results indicate that feedback‐locked beta and theta both reflect neural processes that are specific for the integration of feedback and recently preceding events, possibly linked to cognitive control and memory. With respect to the FRN amplitude, we could replicate previous findings of both delay and agency modulations, suggesting that the neural processes underlying feedback‐locked ERPs and theta and beta power modulations differ.

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Effects of social context and predictive relevance on action outcome monitoring

Cited by 63 publications

References 110 publications

Relative Changes from Prior Reward Contingencies Can Constrain Brain Correlates of Outcome Monitoring

Relative Changes from Prior Reward Contingencies Can Constrain Brain Correlates of Outcome Monitoring

Perceived ownership impacts reward evaluation within medial-frontal cortex

Effects of feedback delay and agency on feedback‐locked beta and theta power during reinforcement learning

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