The Association Between Emotional Expressions and Empathic Accuracy.

Empathic accuracy, the ability to accurately represent and understand another's emotional state, is integral to socio-emotional functioning. It is also inherently an interpersonal process that requires active engagement of the emotional systems of both interaction partners. The emotional expressivity of the partner sharing their emotions restricts empathic accuracy and the perceiver's emotional expressivity might also affect empathic accuracy as they behaviorally simulate and thus share the emotions they see in the other's face. We explored a potential role of emotional expressivity in people's ability to understand another's emotions in a face-to-face dyadic interaction. Participants took turns sharing emotional experiences while their facial expressions were recorded. They then watched the recordings while continuously rating their own and their partner's affect at any given point during the recording. Empathic accuracy was indexed as the epoch by-epoch emotion change detection. We found that emotional expressivity of the listener, but not of the partner, was associated with increased empathic accuracy, even when controlling for partner's expressivity. Our findings highlight the active role the person empathizing takes in face-to-face emotional sharing.

Recognizing humanity: dehumanization predicts neural mirroring and empathic accuracy in face-to-face interactions.

Dehumanization is the failure to recognize the cognitive and emotional complexities of the people around us. While its presence has been well documented in horrific acts of violence, it is also theorized to play a role in everyday life. We measured its presence and effects in face-to-face dyadic interactions between strangers and found that not only was there variance in the extent to which they perceived one another as human, but this variance predicted neural processing and behavior. Specifically, participants showed stronger neural mirroring, indexed by electroencephalography (EEG) mu-suppression, in response to partners they evaluated as more human, suggesting their brains neurally simulated those targets' actions more. Participants were also marginally more empathically accurate about the emotions of partners deemed more human and performed better with them on a cooperative task. These results suggest that there are indeed differences in our recognition of the humanity of people we meet-demonstrated for the first time in a real, face-to-face interaction-and that this mundane variation affects our ability to neurally simulate, cooperate and empathize.

Perspective taking reduces group biases in sensorimotor resonance.

Similar neural circuits are activated during action and the observation of action and such sensorimotor resonance is said to support action understanding and empathy. Previous research, however, shows that group biases can restrict sensorimotor resonance to the social ingroup. Here we test whether an empathic mindset can alleviate such group biases in sensorimotor resonance. Participants adopted either an objective mindset or a perspective taking mindset while writing about a day in the life of a racial outgroup member. Participants in an objective mindset resonated with ingroup members, indicated by significant suppression of the 8-13 Hz electroencephalographic (EEG) mu-rhythm recorded over sensorimotor areas during action observation compared to baseline, but did not show significant mu-suppression in response to outgroup members. In contrast, participants in a perspective taking mindset resonated with both ingroup and outgroup members and significantly more so with outgroup members. Moreover, mindset uniquely affected resonance in response to outgroup members but not in response to ingroup members, with participants who previously took the perspective of an outgroup member later responding with more resonance to the actions of other outgroup members. Together these findings suggest that taking the perspective of a racial outgroup member can reduce group biases in sensorimotor resonance, potentially fostering an intuitive understanding across groups.

Social perceptions of warmth and competence influence behavioral intentions and neural processing.

Perceptions of the primary social dimensions, warmth and competence, determine how we view and relate to social targets. To discern how warmth and competence might affect neural processing and its downstream behavioral consequences, we manipulated impressions of targets' warmth and competence and then measured intentions toward the target and motor resonance, a neural process previously linked to social processing. While EEG was recorded, 66 participants watched videos of people performing a simple motor activity and completed a measure of hypothetical intentions to help or harm. Both perceptions of warmth and competence predicted an increase in helping intentions. Moreover, participants showed the least motor resonance with high competence-medium warmth targets, suggesting the importance of both social dimensions in driving neural simulation of targets' actions. Perceptions of a person's warmth and competence can affect not only how others might intend to treat them, but also how they might process their basic experiences on a neural level.

Effects of Minimal Grouping On Implicit Prejudice, Infrahumanization, and Neural Processing Despite Orthogonal Social Categorizations.

Racial prejudice is a pervasive and pernicious form of intergroup bias. However, a mounting number of studies show that re-categorization-even into minimal groups-can overcome the typical consequences of racial and other group classifications. We tested the effects of minimal grouping on implicit prejudice and infrahumanization using a paradigm in which race was orthogonal to group membership. This allowed us to examine whether knowledge of group membership overrides obvious category differences. We found that participants infrahumanized and showed implicit bias toward the minimal out-group, despite the crosscutting presence of race, and in fact did not show any of the usual implicit racial bias. In addition, Event-Related Potentials (ERPs) showed an early race effect followed by distinct reactions on the basis of group as processing continued. This is evidence that arbitrary social classifications can engender in-group preference even in the presence of orthogonal, visually salient categorizations.

Clarifying the relationship between trait empathy and action-based resonance indexed by EEG mu-rhythm suppression.

Sensorimotor resonance, the vicarious activation of the sensory motor system during observation of another's actions, is thought to contribute to important social functions including empathy. Previous research has shown that sensorimotor resonance, as measured by suppression of the electrophysiological (EEG) mu rhythm, is predicted by trait empathy, but findings are inconsistent. Here we report data from a high-powered study (N = 252) to clarify the relationship between sensorimotor resonance as indexed by mu suppression during action observation and trait empathy as measured by the well-established Interpersonal Reactivity Index (IRI). Our initial pre-registered analyses at central electrode locations indicate that sensorimotor resonance is unrelated to general trait empathy or its sub-facets, however, these effects could not be isolated from attention-related occipital alpha. An additional non-registered analysis using Independent Component Analysis (ICA) to look at the isolated central mu-component clarified the relationship. Results confirmed the lack of a relationship between the mu-component and the perspective taking, personal distress, or fantasy facets of the IRI, but suggest a possible association with empathic concern such that greater resonance is associated with greater empathic concern. These results question the previously assumed relationship between trait empathy and sensorimotor resonance and highlight the need to investigate experience sharing tendencies in the context of simulation-based resonance.

Measuring Brain Complexity During Neural Motor Resonance.

Background: EEG mu-desynchronization is an index of motor resonance (MR) and is used to study social interaction deficiencies, but finding differences in mu-desynchronization does not reveal how nonlinear brain dynamics are affected during MR. The current study explores how nonlinear brain dynamics change during MR. We hypothesized that the complexity of the mu frequency band (8-13 Hz) changes during MR, and that this change would be frequency specific. Additionally, we sought to determine whether complexity at baseline and changes in complexity during action observation would predict MR and changes in network dynamics. Methods: EEG was recorded from healthy participants (n = 45) during rest and during an action observation task. Baseline brain activity was measured followed by participants observing videos of hands squeezing stress balls. We used multiscale entropy (MSE) to quantify the complexity of the mu rhythm during MR. We then performed post-hoc graph theory analysis to explore whether nonlinear dynamics during MR affect brain network topology. Results: We found significant mu-desynchronization during the action observation task and that mu entropy was significantly increased during the task compared to rest, while gamma, beta, theta, and delta bands showed decreased entropy. Moreover, resting-state entropy was significantly predictive of the degree of mu desynchronization. We also observed a decrease in the clustering coefficient in the mu band only and a significant decrease in global alpha efficiency during action observation. MSE during action observation was strongly correlated with alpha network efficiency. Conclusions: The current findings suggest that the desynchronization of the mu wave during MR results in a local increase of mu entropy in sensorimotor areas, potentially reflecting a release from alpha inhibition. This release from inhibition may be mediated by the baseline MSE in the mu band. The dynamical complexity and network analysis of EEG may provide a useful addition for future studies of MR by incorporating measures of nonlinearity.

Intergroup differences in the sharing of emotive states: neural evidence of an empathy gap.

Empathy facilitates prosocial behavior and social understanding. Here, however, we suggest that the most basic mechanism of empathy--the intuitive sharing of other's emotional and motivational states--is limited to those we like. Measuring electroencephalographic (EEG) alpha oscillations as people observed ingroup vs outgroup members, we found that participants showed similar activation patterns when feeling sad as when they observed ingroup members feeling sad. In contrast, participants did not show these same activation patterns when observing outgroup members and even less so the more they were prejudiced. These findings provide evidence from brain activity for an ingroup bias in empathy: empathy may be restricted to close others and, without active effort, may not extend to outgroups, potentially making them likely targets for prejudice and discrimination.

Ironic effects of antiprejudice messages: how motivational interventions can reduce (but also increase) prejudice.

Although prejudice-reduction policies and interventions abound, is it possible that some of them result in the precise opposite of their intended effect--an increase in prejudice? We examined this question by exploring the impact of motivation-based prejudice-reduction interventions and assessing whether certain popular practices might in fact increase prejudice. In two experiments, participants received detailed information on, or were primed with, the goal of prejudice reduction; the information and primes either encouraged autonomous motivation to regulate prejudice or emphasized the societal requirement to control prejudice. Ironically, motivating people to reduce prejudice by emphasizing external control produced more explicit and implicit prejudice than did not intervening at all. Conversely, participants in whom autonomous motivation to regulate prejudice was induced displayed less explicit and implicit prejudice compared with no-treatment control participants. We outline strategies for effectively reducing prejudice and discuss the detrimental consequences of enforcing antiprejudice standards.

Running on empty: neural signals for self-control failure.

Past research shows that self-control is limited and becomes depleted after initial exertions. This study examined the neural processes underlying self-control failure by testing whether controlled, effortful behavior impairs subsequent attempts at control by depleting the neural system associated with conflict monitoring. Subjects either watched an emotional movie normally or tried to suppress their emotions while watching the movie; they then completed an ostensibly unrelated Stroop task while electroencephalographic activity was recorded. The error-related negativity (ERN)--a waveform associated with activity in the anterior cingulate--was measured to determine whether prior regulatory exertion constrained the conflict-monitoring system. Compared with subjects in the control condition, those who suppressed their emotions performed worse on the Stroop task, and this deficit was mediated by weaker ERN signals. These results offer a neural account for the self-regulatory-strength model and demonstrate the utility of the social neuroscience approach.