Right frontal cortex generates reward-related theta-band oscillatory activity

Christie, Gregory J.; Tata, Matthew S.

doi:10.1016/j.neuroimage.2009.06.076

Cited by 92 publications

(74 citation statements)

References 49 publications

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“…Previous reports have implicated both early theta power within the evoked spectral response and the FRN in performance monitoring and reinforcement learning (Cavanagh, Frank, Klein, & Allen, 2010;Christie & Tata, 2009;Holroyd & Coles, 2002;Holroyd, Krigolson, & Lee, 2011), therein identifying a functional analogy between theta and the FRN that strengthens our conclusion that the two signals reflect the same neural processes. Mean theta scores and (c) mean delta scores across subjects with associated scalp distributions of wavelet power Though our task does not involve learning an action-outcome contingency, the neural loci of reinforcement learning signals (e.g., the basal ganglia or the anterior cingulate cortex) are typically modulated by reward even when the payoff contingencies are fixed (Kable & Glimcher, 2007;Kolling, Behrens, Mars, & Rushworth, 2012).…”

Section: Discussionsupporting

confidence: 88%

Fairness influences early signatures of reward-related neural processing

Massi

Luhmann

2015

Cogn Affect Behav Neurosci

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Many humans exhibit a strong preference for fairness during decision-making. Although there is evidence that social factors influence reward-related and affective neural processing, it is unclear if this effect is mediated by compulsory outcome evaluation processes or results from slower deliberate cognition. Here we show that the feedback-related negativity (FRN) and late positive potential (LPP), two signatures of early hedonic processing, are modulated by the fairness of rewards during a passive rating task. We find that unfair payouts elicit larger FRNs than fair payouts, whereas fair payouts elicit larger LPPs than unfair payouts. This is true both in the time-domain, where the FRN and LPP are related, and in the time-frequency domain, where the two signals are largely independent. Ultimately, this work demonstrates that fairness affects the early stages of reward and affective processing, suggesting a common biological mechanism for social and personal reward evaluation.

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Section: Discussionsupporting

confidence: 88%

Fairness influences early signatures of reward-related neural processing

Massi

Luhmann

2015

Cogn Affect Behav Neurosci

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“…When an unexpected reward is delivered, it might trigger an internal conflict between prior expectations, which are naturally influenced by reward and motivational representations, and the present outcome. Consistent with our interpretation, it has been observed that small reward probabilities (Cohen et al, 2007) and highrisk situations (Christie & Tata, 2009) elicit greater theta-band power following win trials. Besides, Tzur and Berger (2009) proposed that theta activity might reflect a violation of the created expectation-that is, a conflict arising between the expected rule and the information delivered.…”

Section: Consummatory Responses To Monetary Rewards In Anhedoniasupporting

confidence: 91%

Neurophysiological differences in reward processing in anhedonics

Padrão

Mallorquí

Cucurell

et al. 2012

Cogn Affect Behav Neurosci

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Anhedonia is characterized by a reduced capacity to experience pleasure in response to rewarding stimuli and has been considered a possible candidate endophenotype in depression and schizophrenia. However, it is still not well understood whether these reward deficits are confined to anticipatory and/or to consummatory experiences of pleasure. In the present study, we recorded electrophysiological responses (event-related brain potentials [ERPs] and oscillatory activity) to monetary gains and losses in extreme groups of anhedonic and nonanhedonic participants. The anhedonic participants showed reduced motivation to incur risky decisions, especially after monetary rewards. These sequential behavioral effects were correlated with an increased sensitivity to punishment, which psychometrically characterized the anhedonic group. In contrast, both electrophysiological measures associated with the impacts of monetary losses and gains-the feedback-related negativity (FRN) and the beta-gamma oscillatory componentclearly revealed preserved consummatory responses in anhedonic participants. However, anhedonics showed a drastic increase in frontal medial theta power after receiving the maximum monetary gain. This increase in theta oscillatory activity could be associated with an increase in conflict and cognitive control for unexpected large positive rewards, thus indexing the violation of default negative expectations built up across the task in anhedonic participants. Thus, the present results showed that participants with elevated scores on Chapman's Physical Anhedonia Scale were more sensitive to possible punishments, showed deficits in the correct integration of response outcomes in their actions, and evidenced deficits in sustaining positive expectations of future rewards. This overall pattern suggests an effect of anhedonia in the motivational aspects of approach behavior rather than in consummatory processes.Keywords Anhedonia . Reward processing . Feedbackrelated Negativity . Medial-frontal theta oscillatory activity . Beta-gamma oscillatory activity . Motivation Recent years have shown a renewed interest in the study of affective processes, and particularly in the psychological and neural mechanisms that explain the interaction between goal-directed behavior, reward, and motivation. One of the most important aspects that has been somehow neglected, yet is crucial to understanding motivated behavior, is individual differences in anhedonia. The concept of "anhedonia" refers to a reduction of the ability to experience pleasure (Meehl, 1975), as reflected in a diminished interest in rewarding stimuli and pleasurable events. Anhedonia has been described as a prominent symptom and potential trait marker of major depression (Loas, 1996) and is broadly studied in relation to schizophrenia and the negative-

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“…MFC theta power and intertrial phase coherence increase more after errors or negative performance feedback than after successful trials or positive feedback (Cohen, 2011;Cavanagh, Frank, Klein, & Allen, 2010;Cavanagh, Cohen, & Allen, 2009;Christie & Tata, 2009;Marco-Pallares et al, 2008Cohen, Ridderinkhof, Haupt, Elger, & Fell, 2008;Cohen, Elger, & Ranganath, 2007;Trujillo & Allen, 2007;Luu, Tucker, & Makeig, 2004;Luu & Tucker, 2001). Lateral pFC theta power also increases after errors compared with successful trials (Cavanagh et al, 2009(Cavanagh et al, , 2010Luu et al, 2004).…”

Section: Introductionmentioning

confidence: 95%

Frontal Oscillatory Dynamics Predict Feedback Learning and Action Adjustment

Vijver

Ridderinkhof

Cohen

2011

Journal of Cognitive Neuroscience

166

137

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Abstract■ Frontal oscillatory dynamics in the theta (4-8 Hz) and beta (20-30 Hz) frequency bands have been implicated in cognitive control processes. Here we investigated the changes in coordinated activity within and between frontal brain areas during feedback-based response learning. In a time estimation task, participants learned to press a button after specific, randomly selected time intervals (300-2000 msec) using the feedback after each button press (correct, too fast, too slow). Consistent with previous findings, theta-band activity over medial frontal scalp sites (presumably reflecting medial frontal cortex activity) was stronger after negative feedback, whereas beta-band activity was stronger after positive feedback. Theta-band power predicted learning only after negative feedback, and beta-band power predicted learning after positive and negative feedback. Furthermore, negative feedback increased theta-band intersite phase synchrony (a millisecond resolution measure of functional connectivity) among right lateral prefrontal, medial frontal, and sensorimotor sites. These results demonstrate the importance of frontal theta-and beta-band oscillations and intersite communication in the realization of reinforcement learning. ■

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Right frontal cortex generates reward-related theta-band oscillatory activity

Cited by 92 publications

References 49 publications

Fairness influences early signatures of reward-related neural processing

Fairness influences early signatures of reward-related neural processing

Neurophysiological differences in reward processing in anhedonics

Frontal Oscillatory Dynamics Predict Feedback Learning and Action Adjustment

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