Effects of social context and predictive relevance on action outcome monitoring

To err is human: Differences in performance monitoring ERPs during interactions with human co-actors and machines

In interactive tasks, agents often aim at eliciting a certain response from their partner. Not accomplishing this goal calls for adjusting behavior on the fly. Previous research suggests that such adjustments differ when interacting with a machine or with a fellow human agent. In this study, we investigated whether such differences are also reflected in event-related potentials induced by observing human and machine errors in an interactive setting. In a four-choice reaction time task, participants performed actions that were followed by regular and irregular visual effects. In different conditions, participants were led to believe that they were interacting with another human agent or with a machine so that the irregular effects were attributed either to human errors or to machine malfunctions. We compared observed-error-related negativity (oERN) and observed-error positivity (oPE) for these two error types. The oPE was not affected by the experimental manipulation, whereas the oERN amplitude was more pronounced for machine malfunctions than for human errors. This contradicts previous findings that reported behavioral and electrophysiological responses to errors being larger when they are committed by a human agent than if they are caused by machine malfunctions. Our results might suggest that automated systems are expected to operate predictably and, as a consequence, in interactive settings, errors committed by such systems are more salient and elicit a larger prediction error signal than if the same mistake is made by a human agent.

EEG Microstates in Social and Affective Neuroscience

Social interactions require both the rapid processing of multifaceted socio-affective signals (e.g., eye gaze, facial expressions, gestures) and their integration with evaluations, social knowledge, and expectations. Researchers interested in understanding complex social cognition and behavior face a "black box" problem: What are the underlying mental processes rapidly occurring between perception and action and why are there such vast individual differences? In this review, we promote electroencephalography (EEG) microstates as a powerful tool for both examining socio-affective states (e.g., processing whether someone is in need in a given situation) and identifying the sources of heterogeneity in socio-affective traits (e.g., general willingness to help others). EEG microstates are identified by analyzing scalp field maps (i.e., the distribution of the electrical field on the scalp) over time. This data-driven, reference-independent approach allows for identifying, timing, sequencing, and quantifying the activation of large-scale brain networks relevant to our socio-affective mind. In light of these benefits, EEG microstates should become an indispensable part of the methodological toolkit of laboratories working in the field of social and affective neuroscience.

Corporate social responsibility: A key driver of sustainable development in China's post-COVID economy

The first goal of this research was to measure the impact of corporate social responsibility (CSR) on the sustainable development of an organization. However, the second objective examines the moderating influence of government policies, cultural norms, and stakeholder expectations on the relationship between CSR and an organization's sustainable development. This research primarily focused on the enterprises operating in the energy industry in Beijing. A sample of 498 individuals holding management positions within these enterprises was collected. The study's results established that CSR significantly influences the sustainable development of firms. Moreover, the results revealed that governmental regulations, cultural norms, and stakeholder expectations play a significant and positive role in moderating the impact of corporate social responsibility on the sustainable development of companies. The results of this study make a valuable contribution to the existing body of literature on CSR and its impact on the sustainable performance of enterprises in China.

The influence of self-esteem on interpersonal and competence evaluations: electrophysiological evidence from an ERP study

Using event-related potentials, this study examined how self-esteem affects neural responses to competence (interpersonal) feedback when the need for relatedness (competence) is thwarted or met. Participants with low and high self-esteem acted as advisors who selected one of two options for a putative advisee. Subsequently, they passively observed the advisee, accepted, or rejected their advice (i.e. interpersonal feedback) and received correct or incorrect outcomes (i.e. competence feedback). When interpersonal feedback was followed by competence feedback, high self-esteem participants showed a smaller P3 following incorrect than correct outcomes, irrespective of whether the advice had been accepted or rejected. However, low self-esteem participants showed this P3 effect only when the advice was rejected, and the P3 difference disappeared when the advice was accepted. When competence feedback was followed by interpersonal feedback, both low self-esteem and high self-esteem individuals showed a larger P2 for rejection than for acceptance and a larger late potential component for incorrect than correct outcomes. These findings suggest that when interpersonal feedback is followed by competence feedback, low self-esteem and high self-esteem individuals have a desire for self-positivity. When competence feedback is followed by interpersonal feedback, they may have motives for self-change. Our findings shed light on the motivational mechanisms for self-esteem and feedback.

Physical education and student well-being: Promoting health and fitness in schools

The school students are facing mental health issues, and their performance is not improving in China. Health education policies are not implemented at the school level in China. However, scholars focus on college students' health education, but the school student is neglected. The research's primary objective is to answer the question: What is the impact of health education on the psychological well-being of school students? A sample of 549 10th grade students is collected from China's public and private sector institutes. The partial least square-structural equation modelling (PLS-SEM) is employed to analyze the data. The outcomes highlighted that the impact of health education is significant on the psychological well-being of school students in China. Furthermore, the study introduced that the moderating role of sustainable health exercise and sports participation is critical as it positively influences the relationship between health education and psychological wellbeing. This research improves literature as the novel contribution are highlighted in theory. Furthermore, the government education policies must be reframed under the light of this research' findings to improve students' health.

Empowering leadership: A conflict resolver and a performance booster for organizations

Organizational sustainability has become a critical challenge in the current era. This research purpose is to determine the impact of empowering leadership on conflict management and employees' performance for organizational sustainability. Furthermore, it also investigates the moderating impact of emotional stability on the relationship between empowering leadership, conflict management, and employee performance. Quantitative data for this research was collected from 512 middle-management-level employees from manufacturing firms in China. The partial least squares structural equation modelling results highlighted that empowering leadership positively impacts conflict management and employees' performance. Furthermore, the study showed that the organization's sustainability is possible with conflict management and employee performance when there is emotional stability. The theoretical grounding of this research closed a loop in the literature, and the findings are reliable for practice for organization sustainability.

Predicting group benefits in joint multiple object tracking : Predicting group benefits

In everyday life, people often work together to accomplish a joint goal. Working together is often beneficial as it can result in a higher performance compared to working alone - a so-called "group benefit". While several factors influencing group benefits have been investigated in a range of tasks, to date, they have not been examined collectively with an integrative statistical approach such as linear modeling. To address this gap in the literature, we investigated several factors that are highly relevant for group benefits (i.e., task feedback, information about the co-actor's actions, the similarity in the individual performances, and personality traits) and used these factors as predictors in a linear model to predict group benefits in a joint multiple object tracking (MOT) task. In the joint MOT task, pairs of participants jointly tracked the movements of target objects among distractor objects and, depending on the experiment, either received group performance feedback, individual performance feedback, information about the group member's performed actions, or a combination of these types of information. We found that predictors collectively account for half of the variance and make non-redundant contributions towards predicting group benefits, suggesting that they independently influence group benefits. The model also accurately predicts group benefits, suggesting that it could be used to anticipate group benefits for individuals that have not yet performed a joint task together. Given that the investigated factors are relevant for other joint tasks, our model provides a first step towards developing a more general model for predicting group benefits across several shared tasks.

Error observation as a window on performance monitoring in social contexts? A systematic review

Living in a social world requires social monitoring, i.e., the ability to keep track of others' actions and mistakes. Here, we demonstrate the good reliability of the behavioral and neurophysiological indexes ascribed to social monitoring. We also show that no consensus exists on the cognitive bases of this phenomenology and discuss three alternative hypotheses: (i) the direct matching hypothesis, postulating that observed errors are processed through automatic simulation; (ii) the attentional hypothesis, considering errors as unexpected events that take resources away from task processing; and (iii) the goal representation hypothesis, which weighs social error monitoring depending on how relevant the other's task is to the observer's goals. To date, evidence on the role played by factors that could help to disentangle these hypotheses (e.g., the human vs. non-human nature of the actor, the error rate, and the reward context) is insufficient, although the goal representation hypothesis seems to receive more support. Theory-driven experimental designs are needed to enlighten this debate and clarify the role of error monitoring during interactive exchanges.

'The Last Shot'-the shared and distinct brain regions involved in processing unexpectedness of success and failure in the context of social cooperation

Individual success and failure in social cooperation matter not only to oneself but also to teammates. However, the common and distinct neural activities underlying salient success and failure in social cooperation are unclear. In this functional magnetic resonance imaging (fMRI) study, participants in the social group (Experiment one) cooperated with two human beings during a dice-gambling task, whereas those in the nonsocial group (Experiment two) cooperated with two computers. The social group reported more pride in success and more guilt in failure. The fMRI results in Experiment one demonstrate that left temporoparietal junction (LTPJ) activation increased exclusively with linearly changing unexpected success, whereas increasing anterior cingulate cortex (ACC) activation was only coupled with increasing unexpectedness of failure. Moreover, the dorsal medial prefrontal cortex (dMPFC) and left anterior insula were recruited in both success and failure feedback conditions. Dynamic causality model analysis suggested that the dMPFC first received information from the LTPJ and ACC separately and then returned information to these regions. The between-experiment comparison showed more dMPFC activity in social vs nonsocial contexts irrespective of success and failure feedback. Our findings shed light on the common and distinct neural substrates involved in processing success and failure feedback in social cooperation.

Effects of subjective and objective task difficulties for feedback- related brain potentials in social situations: An electroencephalogram study

In this study, the relationship between two types of feedback task difficulties and feedback-related brain potentials, such as feedback-related negativity (FRN), reward positivity (RewP), and P300, was investigated in social situations where participants performed a task simultaneously by a pair. The electroencephalogram activity was measured while participants answered four-choice questions with their partners. Participants were informed about the general accuracy rate of the question (objective task difficulty) before responding to the questionnaire. The feedback outcome was definitely correct when the participants had the knowledge to answer the questions correctly. Therefore, the subjective task difficulty depended on the knowledge of the participant and differed from the objective task difficulty. In the task, the participants selected the choice they deemed correct. Before checking the answers, participants responded to the preceding question's subjective task difficulty. As one of the social factors, the task consisted of two types of conditions: one, in which one's response affected partner's reward, and another, in which it did not. The second social factor was the order of feedback outcomes; in our experiment, these outcomes were presented sequentially to pairs of participants. The effects of subjective and objective task difficulties and social factors on feedback-related brain potentials were comprehensively analyzed. The study showed that subjective task difficulty sensitively modulated the amplitude of gain-related P300, suggesting that it is sensitive to modulation in the allocation of attentional resources to own feedback outcome. The objective task difficulty sensitively modulated the amplitude of RewP after receiving the partner's incorrect feedback outcome. RewP was more sensitive to positive affective valence, such as feelings of superiority over the partner, than to task-dependent rewards received by the participants themselves. In contrast, FRN was more negative in the joint condition than in the individual condition, suggesting sensitivity to social responsibility felt by participants toward their partners.

A biomarker of maternal vicarious reward processing and its association with parenting behavior

Parenting styles play a critical role in child well-being, yet the neural bases of parenting behaviors remain nebulous. Understanding the neural processes associated with parenting styles can both clarify etiological mechanisms underlying parenting behaviors and point us toward new targets for intervention. A novel electrocortical biomarker called the observational reward positivity (oRewP) that occurs in response to observing another receive a reward has been linked to self-reported authoritarian parenting behavior. The current study sought to replicate associations between the oRewP and self-reported and observationally-coded parenting in a sample of mothers selected to be at elevated risk for problematic parenting. Self-reported authoritarian parenting was associated with observationally-coded problematic discipline, while no other self-reported parenting scales were associated with observationally-coded scores. We replicated the previously reported association between a blunted oRewP and increased self-reported authoritarian parenting. We additionally found that an attenuated oRewP was associated with greater permissive parenting, and that only the relationship with permissive parenting was conserved after adjusting for other parenting styles and other relevant covariates. We did not find significant associations between the oRewP and observationally-coded parenting. The current findings suggest that the neural process indexed by the oRewP are relevant to parenting behavior. Further research is needed to better understand the discrepancy between self-reported and observed parenting.

Direct feedback and social conformity promote behavioral change via mechanisms indexed by centroparietal positivity: Electrophysiological evidence from a role-swapping ultimatum game

Our behavior is shaped by multiple factors, including direct feedback (seeing the outcomes of our past actions) and social observation (in part, via a drive to conform to other peoples' behaviors). However, it remains unclear how these two processes are linked in the context of behavioral change. This is important to investigate, as behavioral change is associated with distinct neural correlates that reflect specific aspects of processing, such as information integration and rule updating. To clarify whether these processes characterize both direct learning and conformity, we elicited the two within the same task, using a role-swapping version of the Ultimatum Game-a fairness paradigm where subjects decide how to share a pot of money with other players-while electroencephalography (EEG) data were recorded. Behavioral results showed that subjects decided how to divide the pot based on both direct feedback (seeing whether their past proposals were accepted or rejected) and social observation (copying the splits that others just proposed). Converging EEG evidence revealed that increased centroparietal positivity (P2, P3b, and late positivity) indexed behavioral changes motivated by direct feedback and those motivated by drives to conform. However, exploratory analyses also suggest that these two motivating factors may also be dissociable, and that frontal midline theta oscillations may predict behavioral changes linked to direct feedback but not conformity. Overall, this study provides novel electrophysiological evidence regarding the different forms of behavioral change. These findings are also relevant for understanding the mechanisms of social information processing that underlie successful cooperation.

A win-win situation: Does familiarity with a social robot modulate feedback monitoring and learning?

Social species rely on the ability to modulate feedback-monitoring in social contexts to adjust one's actions and obtain desired outcomes. When being awarded positive outcomes during a gambling task, feedback-monitoring is attenuated when strangers are rewarded, as less value is assigned to the awarded outcome. This difference in feedback-monitoring can be indexed by an event-related potential (ERP) component known as the Reward Positivity (RewP), whose amplitude is enhanced when receiving positive feedback. While the degree of familiarity influences the RewP, little is known about how the RewP and reinforcement learning are affected when gambling on behalf of familiar versus nonfamiliar agents, such as robots. This question becomes increasingly important given that robots may be used as teachers and/or social companions in the near future, with whom children and adults will interact with for short or long periods of time. In the present study, we examined whether feedback-monitoring when gambling on behalf of oneself compared with a robot is impacted by whether participants have familiarized themselves with the robot before the task. We expected enhanced RewP amplitude for self versus other for those who did not familiarize with the robot and that self-other differences in the RewP would be attenuated for those who familiarized with the robot. Instead, we observed that the RewP was larger when familiarization with the robot occurred, which corresponded to overall worse learning outcomes. We additionally observed an enhanced P3 effect for the high-familiarity condition, which suggests an increased motivation to reward. These findings suggest that familiarization with robots may cause a positive motivational effect, which positively affects RewP amplitudes, but interferes with learning.

Disentangling effects of expectancy, accuracy, and empathy on the processing of observed actions

A number of studies suggest that event-related potential (ERP) components previously associated with error processing might represent expectation violation instead of valence. When observing others, these processes might further be modulated by trait empathy. We suggest that trait empathy modulates expectancy formation and that these expectancies then influence observed response processing as reflected in a frontocentral negative ERP component resembling the previously described observer error-related negativity. We acquired single trial ERPs of participants who observed another person in a true- or false-belief condition answering correctly or erroneously. Additionally, we prompted participants' expectancy in some trials. Using linear mixed model analyses, we found that for low empathy participants, expectations for the false-belief condition decreased throughout the experiment, so that expectations were more pronounced in participants with higher empathy toward the end of the experiment. We also found that single trial expectancy measures derived from regression models of the measured expectancies predicted the amplitude of the frontocentral negative ERP component, and that neither the addition of empathy nor accuracy or trial type (true- or false-belief) led to the explanation of significantly more variance compared with the model just containing expectancy as predictor. These results suggest that empathy modulates the processing of observed responses indirectly via its effect on expectancy of the response.

The role of trait empathy in the processing of observed actions in a false-belief task

Empathic brain responses are characterized by overlapping activations between active experience and observation of an emotion in another person, with the pattern for observation being modulated by trait empathy. Also for self-performed and observed errors, similar brain activity has been described, but findings concerning the role of empathy are mixed. We hypothesized that trait empathy modulates the processing of observed responses if expectations concerning the response are based on the beliefs of the observed person. In the present study, we utilized a false-belief task in which observed person’s and observer’s task-related knowledge were dissociated and errors and correct responses could be expected or unexpected. While theta power was generally modulated by the expectancy of the observed response, a negative mediofrontal event-related potential (ERP) component was more pronounced for unexpected observed actions only in participants with higher trait empathy (assessed by the Empathy Quotient), as revealed by linear mixed effects analyses. Cognitive and affective empathy, assessed by the Interpersonal Reactivity Index, were not significantly related to the ERP component. The results suggest that trait empathy can facilitate the generation of predictions and thereby modulate specific aspects of the processing of observed actions, while the contributions of specific empathy components remain unclear.

Examining Social Cognition with Embodied Robots: Does Prior Experience with a Robot Impact Feedback-associated Learning in a Gambling Task?

Social agents rely on the ability to use feedback to learn and modify their behavior. The extent to which this happens in social contexts depends on motivational, cognitive and/or affective parameters. For instance, feedback-associated learning occurs at different rates when the outcome of an action (e.g., winning or losing in a gambling task) affects oneself (“Self”) versus another human (“Other”). Here, we examine whether similar context effects on feedback-associated learning can also be observed when the “other” is a social robot (here: Cozmo). We additionally examine whether a “hybrid” version of the gambling paradigm, where participants are free to engage in a dynamic interaction with a robot, then move to a controlled screen-based experiment can be used to examine social cognition in human-robot interaction. This hybrid method is an alternative to current designs where researchers examine the effect of the interaction on social cognition during the interaction with the robot. For that purpose, three groups of participants (n total = 60) interacted with Cozmo over different time periods (no interaction vs. a single 20 minute interaction in the lab vs. daily 20 minute interactions over five consecutive days at home) before performing the gambling task in the lab. The results indicate that prior interactions impact the degree to which participants benefit from feedback during the gambling task, with overall worse learning immediately after short-term interactions with the robot and better learning in the “Self” versus “Other” condition after repeated interactions with the robot. These results indicate that “hybrid” paradigms are a suitable option to investigate social cognition in human-robot interaction when a fully dynamic implementation (i.e., interaction and measurement dynamic) is not feasible.

Observed and Performed Error Signals in Auditory Lexical Decisions

This study investigates the error processing components in the EEG signal of Performers and Observers using an auditory lexical decision task, in which participants heard spoken items and decided for each item if it was a real word or not. Pairs of participants were tested in both the role of the Performer and the Observer. In the literature, an Error Related Negativity (ERN)-Error Positivity (Pe) complex has been identified for performed (ERN-Pe) and observed (oERN-oPe) errors. While these effects have been widely studied for performance errors in speeded decision tasks relying on visual input, relatively little is known about the performance monitoring signatures in observed language processing based on auditory input. In the lexical decision task, native Dutch speakers listened to real Dutch Words, Non-Words, and crucially, long Pseudowords that resembled words until the final syllable and were shown to be error-prone in a pilot study, because they were responded to too soon. We hypothesised that the errors in the task would result in a response locked ERN-Pe pattern both for the Performer and for the Observer. Our hypothesis regarding the ERN was not supported, however a Pe-like effect, as well as a P300 were present. Analyses to disentangle lexical and error processing similarly indicated a P300 for errors, and the results furthermore pointed to differences between responses before and after word offset. The findings are interpreted as marking attention during error processing during auditory word recognition.

Social comparison impacts stimulus evaluation in a competitive social learning task

When we perform an action, the outcome that follows it can change the value we place on that behaviour, making it more or less likely to be repeated in the future. However, the values that we learn are not objective: we interpret the outcomes that we receive for ourselves relative to those that share our environment, i.e. we engage in social comparison. The temporal dynamics of physiological responses to stimulus valuation in social learning tasks are poorly understood, particularly in human participants. Therefore, we recorded stimulus-locked event-related potentials with 64-channel EEG to examine stimulus valuation, following the design of a study previously used in macaques. Pairs of participants performed a social learning task in which they received outcomes sequentially for a presented stimulus (partner first) by pressing a button in response to a cue. There were two conditions: one in which stimulus values varied for the participant but output a constant rate of reward for the partner (self-variable blocks), and another condition in which this payout was reversed (other-variable blocks). We then measured participants' self-reported competitiveness. Approximately 200 ms post-stimulus, an ERP related to stimulus evaluation and attentional processing appeared to encode own stimulus value in self-variable blocks. In other-variable blocks the same pattern of activity was reversed, even though the value of the stimulus for the participant did not depend on the stimulus presented. Outcome-locked analyses further showed that attention dedicated to the partner's outcome was greater in more competitive participants. We conclude that subjective stimulus value can be reflected in early stimulus-locked ERP responses and that competitive participants may be more invested in their own performance relative to the other player, hence their increased interest in the outcome of their partner.

Asymmetric coupling of action and outcome valence in active and observational feedback learning

Learning to execute a response to obtain a reward or to inhibit a response to avoid punishment is much easier than learning the reverse, which has been referred to as “Pavlovian” biases. Despite a growing body of research into similarities and differences between active and observational learning, it is as yet unclear if Pavlovian learning biases are specific for active task performance, i.e., learning from feedback provided for one’s own actions, or if they persist also when learning by observing another person’s actions and subsequent outcomes. The present study, therefore, investigated the influence of action and outcome valence in active and observational feedback learning. Healthy adult volunteers completed a go/nogo task that decoupled outcome valence (win/loss) and action (execution/inhibition) either actively or by observing a virtual co-player’s responses and subsequent feedback. Moreover, in a more naturalistic follow-up experiment, pairs of subjects were tested with the same task, with one subject as active learner and the other as observational learner. The results revealed Pavlovian learning biases both in active and in observational learning, with learning of go responses facilitated in the context of reward obtainment, and learning of nogo responses facilitated in the context of loss avoidance. Although the neural correlates of active and observational feedback learning have been shown to differ to some extent, these findings suggest similar mechanisms to underlie both types of learning with respect to the influence of Pavlovian biases. Moreover, performance levels and result patterns were similar in those observational learners who had observed a virtual co-player and those who had completed the task together with an active learner, suggesting that inclusion of a virtual co-player in a computerized task provides an effective manipulation of agency.

Your losses are mine: The influence of empathic concern on evaluative processing of others' outcomes

Neural responses to others' decision-making outcomes can be modulated by many social factors. Using the event-related potential (ERP) technique, we explored the neural mechanisms of empathic concern modulating evaluative processing of others' outcomes. Participants were asked to perform a gambling task for three beneficiaries: themselves and two strangers. One stranger was an economically underprivileged student requiring help (high-empathy condition); the other stranger was a student with no upsetting information to induce empathic concern (low-empathy condition). ERP results showed that the valence effect of the feedback-related negativity (FRN) was larger when participants exhibited high empathic concern than when they did not. The FRN responses to strangers' outcomes in the high-empathy condition were as strong as those to their own outcomes. The P300 showed no differences between the low- and high-empathy conditions. These findings indicate that empathic concern could modulate the early stage of outcome processing, implying empathic emotional/altruistic motivational impacts of others' outcomes.

Subjective preferences differentially modulate the processing of rewards gained by own vs. observed choices

The present EEG study investigated the impact of subjective reward preferences and agency on outcome processing. 47 healthy adults (11 male; 36 female) with preferences for either milk or white chocolate completed two runs of a gambling task involving their preferred chocolate (high preference outcomes, HPOs), non-preferred chocolate (medium preference outcomes, MPOs), and a lesser liked non-chocolate reward (low preference outcomes, LPOs). In the 'active' run, subjects chose between three different response options to receive the outcomes. In the 'observational' run, they observed another person's choices and subsequent outcomes. Cluster-based permutation analyses of event-related potential (ERPs) revealed that early processing in the P2 time window reflected outcome salience, differentiating HPOs and MPOs from LPOs, especially for outcomes following own choices, while not distinguishing between HPOs and MPOs. In contrast, processing in later stages, i.e., the typical time windows for feedback-related negativity (FRN) and P300, showed evidence of differential coding of HPOs and MPOs and was also modulated by agency. ERPs clearly differentiated between all three outcome types in the FRN and P300 time windows for outcomes following active but not for observed choices. The present study adds to evidence for modulation of outcome processing by contextual and inter-individual factors. In particular, our findings suggest that subjective preferences are complementarily represented in subjective reward valuation and in motivational value representations indexed by the FRN and the P300.

The feedback-related negativity indexes prediction error in active but not observational learning

Reinforcement learning (RL) theory states that learning is driven by prediction errors (PEs)-the discrepancy between the predicted and actual outcome of an action. When participants learn from their own actions, PEs correlate with the feedback-related negativity (FRN), but it is not clear if the FRN reflects a PE in observational learning. We use a model-based regression analysis of single-trial event-related potentials to determine if the FRN in observational learning is PE driven. Twenty participants (16 female) learned the stimulus-outcome contingencies for a probabilistic three-armed bandit task. They played in pairs, with the acting and observing player switching every one to three trials. An RL-learning algorithm was fit to participants' choices in the task to extract individual PE estimates for every trial of the experiment. In the acting condition, model-estimated PEs covaried positively with neural signal at electrode FCz, 200-350 ms after outcome presentation, which is a typical time frame for the FRN. There was no PE effect in the observation condition in the same time frame. From 300 ms the outcome correlated negatively with the frontal P300 component at FCz and parietal P300 at Pz. At Pz the effect was greater in the acting than the observing condition. The frontal and parietal P300 components have been linked to attentional reorienting and stimulus value updating, respectively. These findings indicate that observed outcomes undergo processing that is distinguishable from directly experienced outcomes in the time windows of the FRN and P3b but that attention dedicated to the two outcomes types is comparable.

The Social Situation Affects How We Process Feedback About Our Actions

Humans achieve their goals in joint action tasks either by cooperation or competition. In the present study, we investigated the neural processes underpinning error and monetary rewards processing in such cooperative and competitive situations. We used electroencephalography (EEG) and analyzed event-related potentials (ERPs) triggered by feedback in both social situations. 26 dyads performed a joint four-alternative forced choice (4AFC) visual task either cooperatively or competitively. At the end of each trial, participants received performance feedback about their individual and joint errors and accompanying monetary rewards. Furthermore, the outcome, i.e., resulting positive, negative, or neutral rewards, was dependent on the pay-off matrix, defining the social situation either as cooperative or competitive. We used linear mixed effects models to analyze the feedback-related-negativity (FRN) and used the Threshold-free cluster enhancement (TFCE) method to explore activations of all electrodes and times. We found main effects of the outcome and social situation, but no interaction at mid-line frontal electrodes. The FRN was more negative for losses than wins in both social situations. However, the FRN amplitudes differed between social situations. Moreover, we compared monetary with neutral outcomes in both social situations. Our exploratory TFCE analysis revealed that processing of feedback differs between cooperative and competitive situations at right temporo-parietal electrodes where the cooperative situation elicited more positive amplitudes. Further, the differences induced by the social situations were stronger in participants with higher scores on a perspective taking test. In sum, our results replicate previous studies about the FRN and extend them by comparing neurophysiological responses to positive and negative outcomes in a task that simultaneously engages two participants in competitive and cooperative situations.

Competitive Intensity Modulates the Pain Empathy Response: An Event-Related Potentials Study

Previous studies have widely reported that competition modulates an individual's ability to empathize with pain experienced by others. What remains to be clarified, however, is how modulations in the intensity of competition might affect this type of empathy. To investigate this, we first used a Eriksen Flanker task to set different competitive intensity context (high competitive intensity, HCI; medium competitive intensity, MCI; low competitive intensity, LCI). Then we used a recognition task as a competitive task, in which we recorded event-related potentials (ERP) while participants viewed static images of body parts in painful and non-painful situations. Participants were informed that both sets of images depicted an opponent that they were required to play against in the recognition task that varied in levels of competitive intensity according to condition (HCI, MCI, and LCI). We observed an early N2 differentiation between pain and no-pain stimuli over the frontal area under MCI and LCI conditions, but this was not detected under HCI condition. Moreover, we observed a pattern of pain and no-pain differentiation for the late LPP over the frontal and centro-parietal regions under HCI, MCI, and LCI condition. As the pain empathy response is indexed by pain and no-pain differentiation, these results indicate a down-regulation of pain empathy response attributable to a high level of competition. With its very early onset, this effect appears to inhibit bottom-up processing of the ability to perceive pain experienced by an opponent. Our results provide neuroscientific evidence for a deficit in early automatic arousal in response to the pain of the opponent under the influence of high competitive intensity.

Making mistakes in public: Being observed magnifies physiological responses to errors

As social beings, humans often find themselves in situations in which they are required to act against the backdrop of public observation. In these situations, the presence of observers may influence how we evaluate feedback and learn from it. The neural basis of such observer-induced behavioral changes is not well understood at present. In the current study, we used event-related potentials (ERPs) and event-related spectral perturbations (ERSPs) combined with a gambling task to examine how the presence of others modulates the neural representations of errors and losses. In the alone condition, participants finished the gambling task alone while in the observed condition, they were observed by two others. Results revealed that the observer effect particularly altered the feedback-related negativity (FRN) and the late positive potential (LPP). The difference in FRN amplitude between error and correct feedback was enlarged when participants were being observed. The LPP also showed a marginally enhanced amplitude difference between error and correct feedback in the observed condition. We also found that theta power was enhanced in the observed condition. Taken together, our findings suggest that neural representations of errors were influenced by the presence of others.

Performance monitoring of self and other in a turn-taking piano duet: A dual-EEG study

During joint action tasks, expectations for outcomes of one's own and other's actions are collectively monitored. Recent evidence suggests that trait empathy levels may also influence performance monitoring processes. The present study investigated how outcome expectation and empathy interact during a turn-taking piano duet task, using simultaneous electroencephalography (EEG) recording. During the performances, one note in each player's part was altered in pitch to elicit the feedback-related negativity (FRN) and subsequent P3 complex. Pianists memorized and performed pieces containing either a similar or dissimilar sequence as their partner. For additional blocks, pianists also played both sequence types with an audio-only computer partner. The FRN and P3a were larger in response to self than other, while P3b occurred only in response to self, suggesting greater online monitoring of self- compared to other-produced actions during turn-taking joint action. P3a was larger when pianists played a similar sequence as their partner. Finally, as trait empathy level increased, FRN in response to self decreased. This association was absent for FRN in response to other. This may reflect that highly-empathetic musicians during joint performance could use a strategy to suppress exclusive focus on self-monitoring.

Electrophysiological correlates of oxytocin-induced enhancement of social performance monitoring

Altered performance monitoring has been demonstrated after administration of different pharmacological compounds and in various clinical populations, such as excessive neurophysiological responses to mistakes in anxiety disorders. Here, a novel social pharmacological approach was applied to investigate whether oxytocin administration (24 IU) enhances performance monitoring for errors that have negative consequences for another individual, so-called social mistakes. Healthy male volunteers (N = 24) participated in a placebo-controlled crossover design. EEG measures were obtained while pairs of participants performed a speeded choice reaction-time task in an individual and social context. Following oxytocin administration, error-related negativity amplitudes were increased for social compared with individual mistakes. This increase was not found in the placebo condition. No effects of oxytocin were present in the individual context. The current study shows that oxytocin enhances performance monitoring specifically for social mistakes. This outcome is in line with a presumed role for oxytocin in salience attribution to social cues and underlines its context-dependency. Combining these processes may thus open up new research avenues and advance our understanding of individual differences in performance monitoring and oxytocin responses from a social neurocognitive, pharmacological and clinical perspective.

Give Me a Chance! Sense of Opportunity Inequality Affects Brain Responses to Outcome Evaluation in a Social Competitive Context: An Event-Related Potential Study

People are strongly motivated to pursue social equality during social interactions. Previous studies have shown that outcome equality influences the neural activities of monetary feedback processing in socioeconomic games; however, it remains unclear whether perception of opportunity equality affects outcome evaluation even when outcomes are maintained equal. The current study investigated the electrophysiological activities of outcome evaluation in different instructed opportunity equality conditions with event-related potentials (ERPs). Participants were asked to play a competitive dice game against an opponent to win money. Opportunity equality was manipulated in three conditions, depending on whether participants were allowed the opportunity to throw less, equal, or more dice compared to their opponents. Although participants received a winning outcome with approximately 50% chance in all equality conditions, they selectively exhibited sensitivity to the less-dice condition by reporting stronger feelings of unfairness and unpleasantness than in the equal and more-dice conditions. In line with the behavioral results, larger reward positivity amplitudes were elicited by the monetary outcome in the less-dice condition than in the other two conditions, reflecting intensified reward prediction error (RPE) signals under negative emotional arousal. Further, P3 amplitudes were enhanced following reward feedback only in the unequal conditions, perhaps due to the high-level motivational and affective processing associated with resolving conflict between social norms and self-interest. The present findings elucidate the complex temporal course of outcome evaluation processes in different opportunity equality conditions.

Neural markers of social and monetary rewards in children with Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder

Recent theories of decision making propose a shared value-related brain mechanism for encoding monetary and social rewards. We tested this model in children with Attention-Deficit/Hyperactivity Disorder (ADHD), children with Autism Spectrum Disorder (ASD) and control children. We monitored participants’ brain dynamics using high density-electroencephalography while they played a monetary and social reward tasks. Control children exhibited a feedback Error-Related Negativity (fERN) modulation and Anterior Cingulate Cortex (ACC) source activation during both tasks. Remarkably, although cooperation resulted in greater losses for the participants, the betrayal options generated greater fERN responses. ADHD subjects exhibited an absence of fERN modulation and reduced ACC activation during both tasks. ASD subjects exhibited normal fERN modulation during monetary choices and inverted fERN/ACC responses in social options than did controls. These results suggest that in neurotypicals, monetary losses and observed disloyal social decisions induced similar activity in the brain value system. In ADHD children, difficulties in reward processing affected early brain signatures of monetary and social decisions. Conversely, ASD children showed intact neural markers of value-related monetary mechanisms, but no brain modulation by prosociality in the social task. These results offer insight into the typical and atypical developments of neural correlates of monetary and social reward processing.

The mere presence of an outgroup member disrupts the brain's feedback-monitoring system

Much of human learning happens in the social world. A person's social identity-the groups to which they belong, the people with whom they identify-is a powerful cue that can affect our goal-directed behaviors, often implicitly. In the present experiment, we explored the underlying neural mechanisms driving these processes, testing hypotheses derived from social identity theory. In a within-subjects design, participants underwent a minimal group manipulation where they were randomly assigned to an arbitrary ingroup. In two blocks of the experiment, participants were asked to complete a task for money while being observed by an ingroup member and outgroup member separately. Results revealed that being observed by an ingroup or outgroup member led to divergent patterns of neural activity associated with feedback monitoring, namely the feedback-related negativity (FRN). Receiving feedback in the presence of an ingroup member produced a typical FRN signal, but the FRN was dampened while receiving feedback in the presence of an outgroup member. Further, this differentiated neural pattern was exaggerated in people who reported greater intergroup bias. Together, the mere presence of a person can alter how the brain adaptively monitors feedback, impairing the reinforcement learning signal when the person observing is an outgroup member.

Feedback-Related ERP Components Are Modulated by Social Distance during Non-Contingent Evaluation of Someone Else's Performance

Performance monitoring depends on cortical structures that are also activated in vicarious monitoring. While many experiments have shown that vicarious and on-line monitoring have a similar basis, most such experiments have focused on simple tasks. In order to assess the effect of non-contingent feedback on vicarious monitoring, 23 young volunteer adults were evaluated: in one session, they performed a rule-based category formation task, receiving no feedback on their performance. In a second session, Event Related Potentials (ERPs) were obtained while participants passively reviewed performances attributed to themselves and peers they had previously rated as either socially close or distant. Feedback Related Negativity (FRN) and Feedback Related P300 (fP300) components were analyzed with respect to feedback valence and agent. Results show that both components can be elicited through non-contingent feedback related to prior performance. In addition, FRN waves are modulated by the valence of the feedback, and fP300 is modulated by the agent to whom performance feedback is attributed. This experiment constitutes a novel approach to the evaluation of ERP correlates of vicarious monitoring through non-contingent feedback and its relations to empathy processing.

Goal relevance influences performance monitoring at the level of the FRN and P3 components

The feedback-related negativity (FRN) provides a reliable ERP marker of performance monitoring (PM). It is usually larger for negative compared to positive feedback, and for unexpected relative to expected feedback. In two experiments, we assessed whether these effects could be modulated by goal relevance, defined as feedback informativeness (reliability) and/or impact on a person's goals. EEG (64-channel) was recorded while 30 participants (in each experiment) performed a speeded go/no-go task across blocks in which the feedback on task performance was deemed either relevant or not. At the ERP level, the FRN component was larger for (frequent) negative compared to (deviant) positive feedback exclusively when the feedback was relevant (Experiment 1). When the probability of positive and negative feedback was balanced (Experiment 2), this valence-driven FRN effect was absent. However, across these two experiments, the FRN was always larger for irrelevant than relevant feedback. Moreover, the subsequent P300 component was larger for feedback in the relevant than the irrelevant blocks. This effect was valence unspecific in Experiment 1, while in Experiment 2 larger P3 amplitudes were recorded for negative than positive (relevant) feedback. Across the two experiments, a larger correct-related negativity in the irrelevant than relevant context was also observed, suggesting that PM is flexible. These ERP findings indicate that goal relevance influences feedback (and response) processing during PM, with two nonoverlapping neurophysiological effects: It gates reward prediction error brain mechanisms (FRN effect), before enhancing subsequent motivational processes (P300 effect).

To bet or not to bet? The coding of bets modulates brain potentials in outcome evaluations

Decisions made on the basis of risk often require rapid evaluation of feedback before follow-up actions and feedback-related negativity in brain potential is sensitive to the poor outcome. The current study investigated the effects of feedback from one's own decision (Experiment 1) and feedback from observing others' decisions (Experiment 2) on electroencephalograph responses to winning and losing money with and without betting. Irrespective of whether the betting is self-generated or simply observed, the cognitive evaluation of the outcome evoked feedback-related negativity, indicating that one's own experience and vicarious experience give rise to the same neural response. These results indicate that participants were more sensitive to loss when it was personally relevant, irrespective of whether that loss was associated with betting. However, when observing others' losses, participants showed stronger negative responses when the losses were associated with betting.

From Feedback- to Response-based Performance Monitoring in Active and Observational Learning

Humans can adapt their behavior by learning from the consequences of their own actions or by observing others. Gradual active learning of action–outcome contingencies is accompanied by a shift from feedback- to response-based performance monitoring. This shift is reflected by complementary learning-related changes of two ACC-driven ERP components, the feedback-related negativity (FRN) and the error-related negativity (ERN), which have both been suggested to signal events “worse than expected,” that is, a negative prediction error. Although recent research has identified comparable components for observed behavior and outcomes (observational ERN and FRN), it is as yet unknown, whether these components are similarly modulated by prediction errors and thus also reflect behavioral adaptation. In this study, two groups of 15 participants learned action–outcome contingencies either actively or by observation. In active learners, FRN amplitude for negative feedback decreased and ERN amplitude in response to erroneous actions increased with learning, whereas observational ERN and FRN in observational learners did not exhibit learning-related changes. Learning performance, assessed in test trials without feedback, was comparable between groups, as was the ERN following actively performed errors during test trials. In summary, the results show that action–outcome associations can be learned similarly well actively and by observation. The mechanisms involved appear to differ, with the FRN in active learning reflecting the integration of information about own actions and the accompanying outcomes.

Active and observational reward learning in adults with autism spectrum disorder: relationship with empathy in an atypical sample

INTRODUCTION

Autism spectrum disorders (ASDs) are characterised by disturbances in social behaviour. A prevailing hypothesis suggests that these problems are related to deficits in assigning rewarding value to social stimuli. The present study aimed to examine monetary reward processing in adults with ASDs by means of event-related potentials (ERPs).

METHODS

Ten individuals with mild ASDs (Asperger's syndrome and high-functioning autism) and 12 healthy control subjects performed an active and an observational probabilistic reward-learning task.

RESULTS

Both groups showed similar overall learning performance. With respect to reward processing, subjects with ASDs exhibited a general reduction in feedback-related negativity (FRN) amplitude, irrespective of feedback valence and type of learning (active or observational). Individuals with ASDs showed lower scores for cognitive empathy, while affective empathy did not differ between groups. Correlation analyses revealed that higher empathy (both cognitive and affective) negatively affected performance in observational learning in controls and in active learning in ASDs (only cognitive empathy). No relationships were seen between empathy and ERPs.

CONCLUSIONS

Reduced FRN amplitudes are discussed in terms of a deficit in fast reward processing in ASDs, which may indicate altered reward system functioning.

Whole-scalp EEG mapping of somatosensory evoked potentials in macaque monkeys

High-density scalp EEG recordings are widely used to study whole-brain neuronal networks in humans non-invasively. Here, we validate EEG mapping of somatosensory evoked potentials (SSEPs) in macaque monkeys (Macaca fascicularis) for the long-term investigation of large-scale neuronal networks and their reorganisation after lesions requiring a craniotomy. SSEPs were acquired from 33 scalp electrodes in five adult anaesthetized animals after electrical median or tibial nerve stimulation. SSEP scalp potential maps were identified by cluster analysis and identified in individual recordings. A distributed, linear inverse solution was used to estimate the intracortical sources of the scalp potentials. SSEPs were characterised by a sequence of components with unique scalp topographies. Source analysis confirmed that median nerve SSEP component maps were in accordance with the somatotopic organisation of the sensorimotor cortex. Most importantly, SSEP recordings were stable both intra- and interindividually. We aim to apply this method to the study of recovery and reorganisation of large-scale neuronal networks following a focal cortical lesion requiring a craniotomy. As a prerequisite, the present study demonstrated that a 300-mm² unilateral craniotomy over the sensorimotor cortex necessary to induce a cortical lesion, followed by bone flap repositioning, suture and gap plugging with calcium phosphate cement, did not induce major distortions of the SSEPs. In conclusion, SSEPs can be successfully and reproducibly recorded from high-density EEG caps in macaque monkeys before and after a craniotomy, opening new possibilities for the long-term follow-up of the cortical reorganisation of large-scale networks in macaque monkeys after a cortical lesion.

How about watching others? Observation of error-related feedback by others in autism spectrum disorders

Research indicates that individuals with autism spectrum disorders (ASD) may have a reduced ability to utilize performance feedback to regulate their behavior; however, it is unclear to what degree alterations in the environmental context affect feedback processing and contribute to the symptoms of ASD. We utilized the observational FRN (oFRN), an event-related potential (ERP) component that putatively indexes feedback processing while observing feedback directed toward another person, to examine the influence of motivational and social demands on feedback processing in ASD. High-density electroencephalogram recordings were collected from 38 youth with ASD and 31 control participants similar on age and IQ while they observed a confederate performing a modified Eriksen Flanker task. Participants were instructed to count the confederate's errors and were told that they would be awarded based on performance: the confederate would either earn points for the participant or herself. Both groups showed robust oFRN activity on traditional scalp-electrode waveforms and waveforms identified using temporospatial principal components analysis. Amplitude of oFRN did not differentiate groups. Results remained non-significant when comparing medicated to non-medicated participants. There were no significant correlations between oFRN amplitudes, autism symptom severity, and anxiety symptoms. Findings suggest that the social context of the task and motivational significance of the confederate's performance did not limit feedback processing in ASD. Future research in which the context is manipulated further is warranted to determine whether increased environmental complexity influences feedback processing in ASD.

Relative changes from prior reward contingencies can constrain brain correlates of outcome monitoring

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.

Outcome evaluations in group decision making using the majority rule: an electrophysiological study

Event-related brain potential (ERP) reflecting outcome evaluation is called feedback-related negativity (FRN). The present study examined the evaluative processes for two different types of outcomes by recording ERPs from three participants during a group decision task. First, we examined the evaluative processing of outcomes associated with group decisions using the majority rule. Second, we investigated whether the majority rule influenced the evaluation of conflicts related to individual opinions among group members. We found that FRN for monetary loss associated with the group decision was reduced when the participant's opinion was in the minority. In addition, conflict of opinions among group members elicited FRN-like negativity, and greater amplitudes were observed when the participant's opinion was in the minority. The present results suggested that the majority rule can modulate outcome evaluations in group decision making.

Responses of medial and ventrolateral prefrontal cortex to interpersonal conflict for resources

Little is known about brain mechanisms recruited during the monitoring and appraisal of social conflicts--for instance, when individuals compete with each other for the same resources. We designed a novel experimental task inducing resource conflicts between two individuals. In an event-related functional magnetic resonance imaging (fMRI) design, participants played with another human participant or against a computer, who across trials chose either different (no-conflict) or the same tokens (conflict trials) in order to obtain monetary gains. In conflict trials, the participants could decide whether they would share the token, and the resulting gain, with the other person or instead keep all points for themselves. Behaviorally, participants shared much more often when playing with a human partner than with a computer. fMRI results demonstrated that the dorsal mediofrontal cortex was selectively activated during human conflicts. This region might play a key role in detecting situations in which self- and social interest are incompatible and require behavioral adjustment. In addition, we found a conflict-related response in the right ventrolateral prefrontal cortex that correlated with measures of social relationship and individual sharing behavior. Taken together, these findings reveal a key role of these prefrontal areas for the appraisal and resolution of interpersonal resource conflicts.