Cardiac concomitants of feedback processing

Crone, Eveline A.; Veen, Frederik M. van der; Molen, Maurits W. van der; Somsen, R.J.M.; Beek, Bert van; Jennings, J. Richard

doi:10.1016/s0301-0511(03)00106-6

Cited by 75 publications

(121 citation statements)

References 24 publications

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“…Interestingly, a similar pattern of results has recently been observed in a study investigating heart rate changes after positive and negative feedback during decision-making (Crone, Jennings, et al, 2004;Crone, Somsen, van Beek, & van Der Molen, 2004;Crone et al, 2003). A slowing of the heart rate was found to follow informative negative but not positive feedbacks (Crone et al, 2003).…”

Section: Less Differentiated Gain/loss Distinction In Children and Olsupporting

confidence: 80%

“…A slowing of the heart rate was found to follow informative negative but not positive feedbacks (Crone et al, 2003). The relative slowing was less pronounced in children than in adults (Crone, Jennings, et al, 2004), mirroring the less differentiated EEG signals after gains or losses observed in the present study.…”

Section: Less Differentiated Gain/loss Distinction In Children and Olsupporting

confidence: 76%

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Life Span Differences in Electrophysiological Correlates of Monitoring Gains and Losses during Probabilistic Reinforcement Learning

Hämmerer¹,

Li²,

Müller³

et al. 2011

Journal of Cognitive Neuroscience

164

208

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Abstract■ By recording the feedback-related negativity (FRN) in response to gains and losses, we investigated the contribution of outcome monitoring mechanisms to age-associated differences in probabilistic reinforcement learning. Specifically, we assessed the difference of the monitoring reactions to gains and losses to investigate the monitoring of outcomes according to task-specific goals across the life span. The FRN and the behavioral indicators of learning were measured in a sample of 44 children, 45 adolescents, 46 younger adults, and 44 older adults. The amplitude of the FRN after gains and losses was found to decrease monotonically from childhood to old age. Furthermore, relative to adolescents and younger adults, both children and older adults (a) showed smaller differences between the FRN after losses and the FRN after gains, indicating a less differentiated classification of outcomes on the basis of task-specific goals; (b) needed more trials to learn from choice outcomes, particularly when differences in reward likelihood between the choices were small; and (c) learned less from gains than from losses. We suggest that the relatively greater loss sensitivity among children and older adults may reflect ontogenetic changes in dopaminergic neuromodulation. ■

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Section: Less Differentiated Gain/loss Distinction In Children and Olsupporting

confidence: 80%

Section: Less Differentiated Gain/loss Distinction In Children and Olsupporting

confidence: 76%

Life Span Differences in Electrophysiological Correlates of Monitoring Gains and Losses during Probabilistic Reinforcement Learning

Hämmerer¹,

Li²,

Müller³

et al. 2011

Journal of Cognitive Neuroscience

164

208

View full text Add to dashboard Cite

show abstract

“…Several recent studies have shown that feedback processing can be reliably indexed by phasic heart rate changes measured during the performance of complex tasks (Crone et al, 2003;Somsen, Van der Molen, Jennings, & Van Beek, 2000; Van der Veen, Van der Molen, , consistent with the literature suggesting that regulating the autonomic substrate supports appropriate attentive and social behaviors (Porges, DoussardRoosevelt, Portales, & Greenspan, 1996). It is well known from the phasic heart rate literature that heart rate slows in preparation for a response and is then followed by an acceleratory recovery to baseline (for a review, see Jennings & Van der Molen, 2002).…”

Section: Psychophysiological Measuressupporting

confidence: 72%

A heart rate analysis of developmental change in feedback processing and rule shifting from childhood to early adulthood

Crone

Somsen

Zanolie

et al. 2006

Journal of Experimental Child Psychology

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Over the course of development, the ability to switch between different tasks on the basis of feedback cues increases profoundly, but the role of performance monitoring remains unclear. Heart rate indexes can provide critical information about how individuals monitor feedback cues indicating that performance should be adjusted. In this study, children of three age groups (8-10, 12-14, and 16-18 years) performed a rule change task in which sorting rules needed to be detected following positive or negative feedback. The number of perseverative errors was lower for 16- to 18-year-olds than for 8- to 10-year-olds, and 12- to 14-year-olds performed at an intermediate level. Consistent with previous findings, heart rate slowed following feedback indicating a rule change, and the magnitude of slowing was similar for all age groups. Thus, 8- to 10-year-olds are already able to analyze feedback cues. In contrast, 12- to 14-year-olds and 16- to 18-year-olds, but not 8- to 10-year-olds, showed heart rate slowing following performance errors, suggesting that with age children are increasingly able to monitor their performance online. Performance monitoring may therefore be an important contributor to set-shifting ability.

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“…Some have revealed that physiological emotional responses were provoked in association with the contextdependent value of certain events such as errors, as well as with superficial absolute values such as the amounts of reward or punishment (Crone et al, 2003;Crone, Somsen, van Beek, & van der Molen, 2004;Yeung, Holroyd, & Cohen, 2005). Consistent with our findings, these results suggest that emotional autonomic responses represent not only the physical value or valence of environmental feedback, but also its context-dependent evaluation, such as consequences of hypothesis-testing.…”

Section: Discussionsupporting

confidence: 90%

Autonomic Reactivity of Hypothesis-Testing in Decision-Making

Terasawa

Umeda

2010

PSYCHOLOGIA -An International Journal of Psychological Sciences

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Given the results of studies using the Iowa Gambling Task (IGT), emotion-based sensitivity to an anticipated outcome of one's own behavior has been suggested to be a significant factor in making advantageous decisions. Hypotheses-testing in performing IGT is essential for learning correct rules and elicits autonomic reactivity. In this study, participants were asked to concentrate on hypothesis-testing to learn undisclosed rules in the task which framework was similar to the IGT, rather than maximizing monetary reward. The amplitudes of skin conductance responses (SCRs) prior to card selection and following feedback were attenuated as participants came to accurately comprehend the task rules. The attenuation of SCRs resulted from reduced motivation to continue the hypotheses-testing. Our findings provide some evidence that observed autonomic responses partially reflect emotional reactions associated with the hypothesis-testing.

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Cardiac concomitants of feedback processing

Cited by 75 publications

References 24 publications

Life Span Differences in Electrophysiological Correlates of Monitoring Gains and Losses during Probabilistic Reinforcement Learning

Life Span Differences in Electrophysiological Correlates of Monitoring Gains and Losses during Probabilistic Reinforcement Learning

A heart rate analysis of developmental change in feedback processing and rule shifting from childhood to early adulthood

Autonomic Reactivity of Hypothesis-Testing in Decision-Making

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