Size and probability of rewards modulate the feedback error-related negativity associated with wins but not losses in a monetarily rewarded gambling task

Martín, René San; Manes, Facundo; Hurtado, Esteban; Isla, Pablo; Ibáñez, Agustín

doi:10.1016/j.neuroimage.2010.03.031

Cited by 113 publications

(128 citation statements)

References 55 publications

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“…Moreover, the use of mean amplitude measures for the pre-ERN, ERN, Pe and FRN is also compatible with previous ERP studies (e.g. Ridderinkhof et al, 2003;Ruiz et al, 2009;Yu and Zhou, 2009;Potts et al, 2010;San Martin et al, 2010;Dhar and Pourtois, 2011).…”

Section: Eeg Recording and Processingsupporting

confidence: 86%

Delayed monitoring of accuracy errors compared to commission errors in ACC

et al. 2012

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Error detection is essential for monitoring performance and preparing subsequent behavioral adjustments, and is associated with specific neural responses in the anterior cingulate cortex (ACC). To investigate whether different brain mechanisms subserve the processing of commission vs. accuracy errors, we recorded EEG in adult participants while they performed a novel speeded GO-NOGO aiming task ("the Shoot-NoShoot paradigm"). Our ERP results show that commission errors (responding during NOGO trials) elicited a classical error-related negativity (ERN) component, followed by an error-related positivity (Pe), as well as a negativity peaking before response onset (pre-ERN). By contrast, spatial accuracy errors elicited a feedback-related negativity (FRN), which correlated with the spatial discrepancy between response and target position across subjects. Fast hits also elicited a pre-ERN but no ERN, suggesting that this pre-response monitoring component might be related to the detection of error likelihood. Although source analysis revealed similar generators in ACC for these different error-related negativities, the respective timing differed, suggesting that commission errors are detected rapidly based on internal motor representations, whereas the detection of accuracy errors in ACC relies on the additional and swift processing of external visual information.

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Section: Eeg Recording and Processingsupporting

confidence: 86%

Delayed monitoring of accuracy errors compared to commission errors in ACC

et al. 2012

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“…We found that lower probability outcomes were associated with greater latencies between gambles [40], but un- like previous studies also found a small effect of win size on latency, most likely observed due to the very large number of trials. We found some evidence for the effects of nearmisses on subsequent latencies as well.…”

Section: Discussionsupporting

confidence: 60%

Gambling on Smartphones: A Study of a Potentially Addictive Behaviour in a Naturalistic Setting

2019

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Smartphone users engage extensively with their devices, on an intermittent basis for short periods of time. These patterns of behaviour have the potential to make mobile gambling especially perseverative. This paper reports the first empirical study of mobile gambling in which a simulated gambling app was used to measure gambling behaviour in phases of acquisition and extinction. We found that participants showed considerable perseverance in the face of continued losses that were linearly related to their prior engagement with the app. Latencies between gambles were associated with the magnitude of reinforcement; more positive outcomes were associated with longer breaks between play and a greater propensity to end a gambling session. Greater latencies were associated with measurements of problem gambling, and perseverance with gambling-related cognitions and sensation-seeking behaviour.

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“…This feedback-locked P300 refers to a positivity over parietal electrode sites that reaches a maximum about 300 ms after feedback onset. It is sometimes reported to be less sensitive to feedback valence (Yeung & Sanfey, 2004; but see Bellebaum & Daum, 2008;Bellebaum, Polezzi, & Daum, 2010;Hajcak, Moser, Holroyd, & Simons, 2007;van der Helden et al, 2010) but-at least in simple decision tasks-correlates with reward magnitude (Yeung & Sanfey, 2004) and reward probability (Hajcak, Holroyd, Moser, & Simons, 2005;Hajcak, Moser, Holroyd, & Simons, 2006;San Martin, Manes, Hurtado, Isla, & Ibanez, 2010) and, therefore, has been assumed to reflect the update of outcome expectancies in these tasks (e.g., Yeung & Sanfey, 2004). Recently, Chase, Swainson, Durham, Benham, and Cools (2011) showed that explicit rule-based adjustment in a probabilistic reversal learning task is predicted by the P300, whereas the FRN is linked only to reinforcement learning.…”

Section: Erps Related To Feedback Processingmentioning

confidence: 99%

Feedback-related brain activity predicts learning from feedback in multiple-choice testing

Ernst

Steinhauser

2012

Cogn Affect Behav Neurosci

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Different event-related potentials (ERPs) have been shown to correlate with learning from feedback in decisionmaking tasks and with learning in explicit memory tasks. In the present study, we investigated which ERPs predict learning from corrective feedback in a multiple-choice test, which combines elements from both paradigms. Participants worked through sets of multiple-choice items of a Swahili-German vocabulary task. Whereas the initial presentation of an item required the participants to guess the answer, corrective feedback could be used to learn the correct response. Initial analyses revealed that corrective feedback elicited components related to reinforcement learning (FRN), as well as to explicit memory processing (P300) and attention (early frontal positivity). However, only the P300 and early frontal positivity were positively correlated with successful learning from corrective feedback, whereas the FRN was even larger when learning failed. These results suggest that learning from corrective feedback crucially relies on explicit memory processing and attentional orienting to corrective feedback, rather than on reinforcement learning.

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Size and probability of rewards modulate the feedback error-related negativity associated with wins but not losses in a monetarily rewarded gambling task

Cited by 113 publications

References 55 publications

Delayed monitoring of accuracy errors compared to commission errors in ACC

Delayed monitoring of accuracy errors compared to commission errors in ACC

Gambling on Smartphones: A Study of a Potentially Addictive Behaviour in a Naturalistic Setting

Feedback-related brain activity predicts learning from feedback in multiple-choice testing

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