Social Neuroscience最新文献

We investigated neural correlates of Emotion Recognition Accuracy (ERA) using the Assessment of Contextualized Emotions (ACE). ACE infuses context by presenting emotion expressions in a naturalistic group setting and distinguishes between accurately perceiving intended emotions (signal), and bias due to perceiving additional, secondary emotions (noise). This social perception process is argued to induce perspective taking in addition to pattern matching in ERA. Thirty participants were presented with an fMRI-compatible adaptation of the ACE consisting of blocks of neutral and emotional faces in single and group-embedded settings. Participants rated the central character's expressions categorically or using scalar scales in consequent fMRI scans. Distinct brain activations were associated with the perception of emotional vs. neutral faces in the four conditions. Moreover, accuracy and bias scores from the original ACE task performed on another day were associated with brain activation during the scalar (vs. categorical) condition for emotional (vs. neutral) faces embedded in group. These findings suggest distinct cognitive mechanisms linked to each type of emotional rating and highlight the importance of considering cognitive bias in the assessment of social emotion perception.

The aim of the study is to understand how Mirror Neuron System (MNS) and Mentalizing Network (MZN) interact with each other. EEG data was collected during a photo judgment task with pictures of actions or facial expressions. Participants (N = 30, 63% women) were asked to either identify how the shown action/expression was being performed (MNS) or what the goal or intention behind the action was (MZN). Data were analyzed using microstate analysis, source localization and Event-Related Potentials. When comparing the action types, we found early divergence between the brain states of MNS and MZN when comparing the same action type. There was temporal alignment between the start and end time of the induced microstates, among the same action type. Between different action types, the timing was slightly shifted. Temporally, there was a greater overlap between the timing of the states between networks within the same action type as compared to within networks across action types. The MNS and MZN are acting in parallel rather then subsequently and possibly feed into each other. Furthermore, the MNS and MZN do not specifically react to one action type over the other, but their activity is influenced by the action type.

It is well established that the Self has a unique representation in the social brain, as evident from the Self-Referential Effect (SRE). However, the timing and neural mechanisms underlying the representation of individuals with varying degrees of closeness and emotional relevance to the Self remain unclear. Twenty-two participants read 260 personality traits and decided whether they described themselves, a close friend, or an admired celebrity. A strong Self-Referential Effect (SRE) was found at behavioral, ERP, and neuroimaging levels. Three anterior ERP components were identified as sensitive to social information: a P200 (250-350 ms) responding to famous others' traits, a P600 (500-700 ms) responding to self-trait processing, and a late positivity (800-950 ms) responding to self-trait processing and close traits. Source reconstructions revealed partially overlapping but distinct neural sources for each individual. The right precuneus (bodily self) and inferior frontal areas (inner voice) were active only during self-processing, while the right medial prefrontal cortex (BA10) was consistently active across tasks, showing a robust SRE. These findings provide insights into the neural mechanisms underlying the representation of the Self in social contexts.

How obeying orders impacts moral decision-making remains an open question, despite its significant societal implications. The goal of this study was to determine if cognitive conflict, indexed by mid-frontal theta activity observed before an action, is influenced by the context of obedience. Participants came in pairs and were assigned roles as either agent or victim. Those in the agent role could either decide freely or follow the experimenter's instructions to administer (or refrain from administering) a mildly painful electric shock to the victim in exchange for a small monetary reward. Mid-frontal theta activity was recorded before the agent made their keypress. Results indicated that mid-frontal theta activity was reduced when participants obeyed the experimenter's orders compared to when they acted of their own volition, even though the outcomes of the actions were similar. This finding suggests that obeying orders diminishes cognitive conflict preceding moral decisions that could harm another person. This study sheds light on a potential mechanism explaining how obedience can blurr morality and lessen our natural aversion to harming others.

Autism Spectrum Disorder (ASD) is defined by distinctive socio-cognitive behaviors that deviate from typical patterns. Notably, social imitation skills appear to be particularly impacted, manifesting early on in development. This paper compared the behavior and inter-brain dynamics of dyads made up of two typically developing (TD) participants with mixed dyads made up of ASD and TD participants during social imitation tasks. By combining kinematics and EEG-hyperscanning, we show that individuals with ASD exhibited a preference for the follower rather than the lead role in imitating scenarios. Moreover, the study revealed inter-brain synchrony differences, with low-alpha inter-brain synchrony differentiating control and mixed dyads. The study's findings suggest the importance of studying interpersonal phenomena in dynamic and ecological settings and using hyperscanning methods to capture inter-brain dynamics during actual social interactions.

Uncertainty is unavoidable, and maladaptive responses to uncertainty may underlie the etiology and maintenance of psychopathology. A general tendency to associate uncertainty with aversive consequences, a type of covariation bias, can amplify aversive emotional experiences. To address questions about uncertainty during emotion regulation, we examined the Late Positive Potential (LPP) - an electrocortical marker of attention to and appraisal of motivationally relevant emotional stimuli - during a task designed to measure the effect of covariation bias and its emotional response consequences. Event-related potentials (ERPs) were recorded while participants (N = 52) were presented with a pre-stimulus cue that either conveyed information about the valence of an upcoming emotional image, or left them in ambiguity. We replicated findings that demonstrate expectancy biases in a priori and online expectancies of emotion-eliciting images, as well as in a posteriori estimates for concurrence of uncertainty cues and aversive images. Moreover, we demonstrate a novel finding that uncertainty cues amplify the LPP in response to subsequent aversive emotional stimuli. These findings advance research by conjoining existing emotion regulation research on the LPP with study of the effects of uncertainty on emotional appraisal and highlight the importance of accounting for stimulus uncertainty in emotion regulation research.

Healthcare professionals play a vital role in conveying sensitive information as patients undergo stressful, demanding situations. However, the underlying neurocognitive dynamics in routine clinical tasks remain underexplored, creating gaps in healthcare research and social cognition models. Here, we examined whether the type of clinical task may differentially affect the emotional processing of nursing students in response to the emotional reactions of patients. In a within-subjects design, 40 nursing students read clinical cases prompting them to make procedural decisions or to respond to a patient with a proper communicative decision. Afterward, participants read sentences about patients' emotional states; some semantically consistent and others inconsistent along with filler sentences. EEG recordings toward critical words (emotional stimuli) were used to capture ERP indices of emotional salience (EPN), attentional engagement (LPP) and semantic integration (N400). Results showed that the procedural decision task elicited larger EPN amplitudes, reflecting pre-attentive categorization of emotional stimuli. The communicative decision task elicited larger LPP components associated with later elaborative processing. Additionally, the classical N400 effect elicited by semantically inconsistent sentences was found. The psychophysiological measures were tied by self-report measures indexing the difficulty of the task. These results suggest that the requirements of clinical tasks modulate emotional-related EEG responses.

Aggression can be categorized into reactive aggression (RA) and proactive aggression (PA) based on their underlying motivations. However, previous research has rarely identified the relationship between femininity and RA/PA, and there is a lack of understanding regarding the femininity-related neurofunctional basis of these aggressive behaviors. Thus, this study first examined the relationships between femininity and aggression, then explored the aggression-by-femininity interactions on the fractional amplitude of low-frequency fluctuations using resting-state fMRI among 705 university participants (mean age = 19.14 ± 0.99). The behavioral data indicated that femininity was more negatively associated with RA and PA when masculinity was controlled for. Additionally, the neural data revealed that femininity-specific relationships of RA in the left middle occipital gyrus (i.e. individuals with low femininity had positive relationships between RA and the left middle occipital gyrus, whereas those with high femininity had negative relationships) as well as of PA in the left middle frontal gyrus (i.e. individuals with high femininity showed significant negative relationships, whereas those with low femininity did not exhibit significant relationships). These findings reflect that individuals with varying levels of femininity exhibit distinct neural bases when expressing different subtypes of aggression, which are associated with societal expectations of gender.