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How does the human brain support reasoning about social relations (e.g., social status, friendships)? Converging theories suggest that navigating knowledge of social relations may co-opt neural circuitry with evolutionarily older functions (e.g., shifting attention in space). Here, we analyzed multivoxel response patterns of fMRI data to examine the neural mechanisms for shifting attention in knowledge of a social hierarchy. The “directions” in which participants mentally navigated social knowledge were encoded in multivoxel patterns in superior parietal cortex, which also encoded directions of attentional shifts in space. Exploratory analyses implicated additional regions of posterior parietal and occipital cortex in encoding analogous mental operations in space and social knowledge. However, cross-domain analyses suggested that attentional shifts in space and social knowledge are likely encoded in functionally independent response patterns. Additionally, cross-participant multivoxel pattern similarity analyses indicated that “directions'' of mental navigation in social knowledge are signaled consistently across participants and across different social hierarchies in a set of brain regions, including the right superior parietal lobule. Taken together, these results elucidate the neural basis of navigating abstract knowledge of social relations, and its connection to more basic mental operations.

Comprehending the meaning of body postures is essential for social organisms such as humans. For example, it is important to understand at a glance whether two people seen at a distance are in a friendly or conflictual interaction. However, it is still unclear what fraction of the possible body configurations carry meaning, and what is the best way to characterize such meaning. Here, we address this by using stick figures as a low-dimensional, yet evocative, representation of body postures. We systematically scanned a set of 1,470 upper-body postures of stick figures in a dyad with a second stick figure with a neutral pose. We asked participants to rate the stick figure in terms of 20 emotion adjectives like sad or triumphant and in terms of eight active verbs that connote intent like to threaten and to comfort. The stick figure configuration space was dense with meaning: people strongly agreed on more than half of the configurations. The meaning was generally smooth in the sense that small changes in posture had a small effect on the meaning, but certain small changes had a large effect. Configurations carried meaning in both emotions and intent, but the intent verbs covered more configurations. The effectiveness of the intent verbs in describing body postures aligns with a theory, originating from the theater, called dramatic action theory. This suggests that, in addition to the well-studied role of emotional states in describing body language, much can be gained by using also dramatic action verbs which signal the effort to change the state of others. We provide a dictionary of stick figure configurations and their perceived meaning. This systematic scan of body configurations might be useful to teaching people and machines to decipher body postures in human interactions.

Robots start to play a role in our social landscape, and they are progressively becoming responsive, both physically and socially. It begs the question of how humans react to and interact with robots in a coordinated manner and what the neural underpinnings of such behavior are. This exploratory study aims to understand the differences in human-human and human-robot interactions at a behavioral level and from a neurophysiological perspective. For this purpose, we adapted a collaborative dynamical paradigm from the literature. We asked 12 participants to hold two corners of a tablet while collaboratively guiding a ball around a circular track either with another participant or a robot. In irregular intervals, the ball was perturbed outward creating an artificial error in the behavior, which required corrective measures to return to the circular track again. Concurrently, we recorded electroencephalography (EEG). In the behavioral data, we found an increased velocity and positional error of the ball from the track in the human-human condition vs. human-robot condition. For the EEG data, we computed event-related potentials. We found a significant difference between human and robot partners driven by significant clusters at fronto-central electrodes. The amplitudes were stronger with a robot partner, suggesting a different neural processing. All in all, our exploratory study suggests that coordinating with robots affects action monitoring related processing. In the investigated paradigm, human participants treat errors during human-robot interaction differently from those made during interactions with other humans. These results can improve communication between humans and robot with the use of neural activity in real-time. [ABSTRACT FROM AUTHOR]

Although social neuroscience is concerned with understanding how the brain interacts with its social environment, prevailing research in the field has primarily considered the human brain in isolation, deprived of its rich social context. Emerging work in social neuroscience that leverages tools from network analysis has begun to advance knowledge of how the human brain influences and is influenced by the structures of its social environment. In this paper, we provide an overview of key theory and methods in network analysis (especially for social systems) as an introduction for social neuroscientists who are interested in relating individual cognition to the structures of an individual's social environments. We also highlight some exciting new work as examples of how to productively use these tools to investigate questions of relevance to social neuroscientists. We include tutorials to help with practical implementations of the concepts that we discuss. We conclude by highlighting a broad range of exciting research opportunities for social neuroscientists who are interested in using network analysis to study social systems. [ABSTRACT FROM AUTHOR]

Empathy is often split into an affective facet for embodied simulation or sometimes sensorial processing, and a cognitive facet for mentalizing and perspective-taking. However, a recent neurophenomenological framework proposes a graded view on empathy (i.e., " Graded Empathy ") that extends this dichotomy and considers multiple levels while integrating complex neural patterns and representations of subjective experience. In the current magnetoencephalography study, we conducted a multidimensional investigation of neural oscillatory modulations and their cortical sources in 44 subjects while observing stimuli that convey vicarious pain (vs no-pain) in a broad time window and frequency range to explore rich neural representations of pain empathy. Furthermore, we collected participants' subjective-experience of sensitivity to vicarious pain, as well as their self-reported trait levels of affective and cognitive empathy to examine the possible associations between neural mechanisms and subjective experiences and reports. While extending previous electrophysiological studies that mainly focused on alpha suppression, we found here four significant power modulation patterns corresponding to multiple facets of empathy: an early central (peaking in the paracentral sulcus) alpha (6–11 Hz) suppression pattern plausibly reflecting sensory processing, two early beta (15–23 Hz) suppression patterns in the mid-cingulate cortex (plausibly reflecting the affective component) and in the precuneus (plausibly reflecting the cognitive component), and a late anterior (peaking in the orbitofrontal cortex) alpha-beta (11–19 Hz) enhancement pattern (plausibly reflecting cognitive-control inhibitory response). Interestingly, the latter measure was negatively correlated with the subjective sensitivity to vicarious pain, thereby possibly revealing a novel inhibitory neural mechanism determining the subjective sensitivity to vicarious pain. Altogether, these multilevel findings cannot be accommodated by the dichotomous model of empathy (i.e., affective-cognitive), and provide empirical support to the Graded Empathy neurophenomenological framework. Furthermore, this work emphasizes the importance of examining multiple neural rhythms, their cortical generators, and reports of subjective-experience in the aim of elucidating the complex nature of empathy. [ABSTRACT FROM AUTHOR]

The Medial Prefrontal Cortex (MPFC) is crucial for normal social functioning in humans. Because of its involvement in social monitoring, self-awareness, and self-enhancement, the MPFC may be critical to buffering negative affect and establishing a positive self-esteem. For example, we have previously found that disruption of the MPFC leads to more honest responses, which implies that the MPFC may be critically involved in self-deception. We therefore hypothesized that disrupting the MPFC would lead to a decrease in affect. Employing a virtual lesion TMS (Transcranial Magnetic Stimulation) technique, we disrupted the MPFC while participants rated their mood based on two anchor affect terms. During TMS, the participants rated their current emotional mental state. Compared to sham TMS, it was found that mood was reduced immediately following single-pulse MPFC stimulation. The results supported the hypothesis the MPFC mood reduction occurs when the MPFC is disrupted. Because this study replicated the conditions employed in previous self-deception studies, we suggest that the results may indicate that lack of self-enhancement may lead to a decrease in mood. Further studies should examine this possibility. [ABSTRACT FROM AUTHOR]

Atypical neural response to faces is thought to contribute to social deficits in autism spectrum disorder (ASD). Compared to typically developing (TD) controls, individuals with ASD exhibit delayed brain responses to upright faces at a face‐sensitive event‐related potential (ERP), the N170. Given observed differences in patterns of visual attention to faces, it is not known whether slowed neural processing may simply reflect atypical looking to faces. The present study manipulated visual attention to facial features to examine whether directed attention to the eyes normalizes N170 latency in ASD. ERPs were recorded in 30 children and adolescents with ASD as well as 26 TD children and adolescents. Results replicated prior findings of shorter N170 latency to the eye region of the face in TD individuals. In contrast, those with ASD did not demonstrate modulation of N170 latency by point of regard to the face. Group differences in latency were most pronounced when attention was directed to the eyes. Results suggest that well‐replicated findings of N170 delays in ASD do not simply reflect atypical patterns of visual engagement with experimental stimuli. These findings add to a body of evidence indicating that N170 delays are a promising marker of atypical neural response to social information in ASD. Lay Summary This study looks at how children's and adolescents' brains respond when looking at different parts of a face. Typically developing children and adolescents processed eyes faster than other parts of the face, whereas this pattern was not seen in ASD. Children and adolescents with ASD processed eyes more slowly than typically developing children. These findings suggest that observed inefficiencies in face processing in ASD are not simply reflective of failure to attend to the eyes. [ABSTRACT FROM AUTHOR]

Brain areas important for social perception, social reward, and social behavior – collectively referred to as the social-decision-making network (SDN) – appear to be highly conserved across taxa. These brain areas facilitate a variety of social behaviors such as conspecific approach/avoidance, aggression, mating, parental care, and recognition. Although the SDN has been investigated across taxa, little is known about its functioning in reptiles. Research on the snake SDN may provide important new insights, as snakes have a keen social perceptual system and express a relatively reduced repertoire of social behaviors. Here, we present the results of an experiment in which ball pythons (Python regius) interacted with a same-sex conspecific for one hour and neural activation was investigated through Fos immunoreactivity. Compared to controls, snakes that interacted socially had higher Fos counts in brain areas implicated in social behavior across taxa, such as the medial amygdala, preoptic area, nucleus accumbens, and basolateral amygdala. Additionally, we found differential Fos immunoreactivity in the ventral amygdala, which facilitates communication between social brain areas. In many of these areas, Fos counts differed by sex, which may be due to increased competition between males. Fos counts did not differ in early sensory (i.e., vomeronasal) processing structures. As ball python social systems lack parental care, cooperation, or long-term group living, these results provide valuable insight into the basal functions of the vertebrate social decision-making network. [ABSTRACT FROM AUTHOR]

We experimentally tested whether negative stereotypes linked to lower socioeconomic status (SES), in addition to impairing academic performance (Croizet & Claire, 1998), instigate inflammation processes that are implicated in numerous disease processes. In Study 1, verbal test performance and activation of inflammation processes (measured by levels of an inflammatory protein, Interleukin-6 [IL-6]) varied as a function of SES and test framing (i.e., diagnostic vs. nondiagnostic of intellectual ability), with low SES students underperforming and exhibiting greater IL-6 production in the "diagnostic" condition. In Study 2, students expected their verbal exam performance to be compared to peers of higher or lower SES. Low SES students in the upward comparison condition displayed the greatest inflammatory response and worst test performance. Across both studies, different facets of SES predicted vulnerability to negative outcomes, such that low early life SES predicted heightened inflammation responses, while low current SES predicted impaired academic performance. © The Author(s) 2013.

Introducción: La teoría de la mente refiere a la capacidad cognitiva de atribuir mente a los demás y de predecir y comprender su comportamiento en términos de entidades mentales como creencias, deseos e intenciones. Investigaciones recientes sugieren una distinción entre una teoría de la mente afectiva y una cognitiva, asignándoles un sustrato neuroanatómico específico. El Síndrome de Turner es un trastorno genético determinado por la deleción total o parcial del cromosoma X en el sexo femenino. Dadas las características biológicas, psicológicas y sociales encontradas en estas mujeres, pueden ser consideradas como una población relevante para el estudio de la teoría de la mente según parámetros biológicos como la expresión diferencial de los genes del cromosoma X. Objetivos y métodos: los objetivos de este estudio fueron describir la teoría de la mente cognitiva y afectiva en 22 mujeres con diagnóstico de Síndrome de Turner y determinar si existen perfiles distintivos de teoría de la mente asociados al cariotipo. Resultados y discusión: Los resultados indicaron que las mujeres con diagnóstico de Síndrome de Turner presentan dificultades generales en teoría de la mente, observándose un menor rendimiento en el aspecto cognitivo de esta capacidad. Asimismo, se encontró que un mayor daño genético se encuentra relacionado a mayores dificultades en la teoría de la mente cognitiva, vinculada a zonas corticales de procesamiento no automático.

Although the study of political behaviour has been traditionally restricted to the social sciences, new advances in political neuroscience and computational cognitive science highlight that the biological sciences can offer crucial insights into the roots of ideological thought and action. Echoing the dazzling diversity of human ideologies, this theme issue seeks to reflect the multiplicity of theoretical and methodological approaches to understanding the nature of the political brain. Cutting-edge research along three thematic strands is presented, including (i) computational approaches that zoom in on fine-grained mechanisms underlying political behaviour, (ii) neurocognitive perspectives that harness neuroimaging and psychophysiological techniques to study ideological processes, and (iii) behavioural studies and policy-minded analyses of such understandings across cultures and across ideological domains. Synthesizing these findings together, the issue elucidates core questions regarding the nature of uncertainty in political cognition, the mechanisms of social influence and the cognitive structure of ideological beliefs. This offers key directions for future biologically grounded research as well as a guiding map for citizens, psychologists and policymakers traversing the uneven landscape of modern polarization, misinformation, intolerance and dogmatism. This article is part of the theme issue 'The political brain: neurocognitive and computational mechanisms'. [ABSTRACT FROM AUTHOR]

As robots advance from the pages and screens of science fiction into our homes, hospitals, and schools, they are poised to take on increasingly social roles. Consequently, the need to understand the mechanisms supporting human–machine interactions is becoming increasingly pressing. We introduce a framework for studying the cognitive and brain mechanisms that support human–machine interactions, leveraging advances made in cognitive neuroscience to link different levels of description with relevant theory and methods. We highlight unique features that make this endeavour particularly challenging (and rewarding) for brain and behavioural scientists. Overall, the framework offers a way to study the cognitive science of human–machine interactions that respects the diversity of social machines, individuals' expectations and experiences, and the structure and function of multiple cognitive and brain systems. Although machines designed to socially interact with humans are proliferating, our understanding of the mental processes supporting such interactions remains limited. The cognitive and brain sciences can make considerable theoretical and methodological contributions to this endeavour. To date, the modal approach to cognitive science-informed human–robot interaction research has been grounded in social cognition. We widen the lens through which much of this research has been framed to incorporate diverse and interacting forms of cognition, which emphasise the complexity of understanding human–robot interaction on a mechanistic level. Our framework seeks to account for the unusual demands on (neuro)cognition presented by engaging with social machines, focusing on machine variety, diverse neurocognitive systems, and unique contextual factors such as media-skewed expectations. [ABSTRACT FROM AUTHOR]

The human brain has undergone massive expansion across primate evolution through life amidst multi-layered social attachments; within families, among friends, and between clan members and this enabled humans to coordinate their brains with those of others toward the execution of complex social goals. We examined how human attachments facilitate efficient, resource-sensitive performance of social goals by balancing neural and behavioral synchrony. Using hyperscanning EEG, we collected neural data from male-female pairs in three groups (N=158, 79 pairs); long-term couples, best friends, and unfamiliar group members, during two ecologically-valid naturalistic tasks; motor coordination and empathy giving. Across groups and tasks, neural synchrony was supported by behavior coordination and orchestrated multiple neural rhythms. In the goal-directed motor task, interbrain synchrony implicated beta and gamma rhythms localized to sensorimotor areas. Couples showed the highest neural synchrony combined with greatest behavioral synchrony and such brain-behavior linkage resulted in speedy performance, conserving energy in the long run. The socially-oriented empathy task triggered neural synchrony in widely-distributed sensorimotor and bilateral temporal regions, integrated alpha, beta, and gamma rhythms, and implicated brain-behavior complementarity; couples displayed the highest behavioral synchrony combined with lowest neural synchrony toward greatest felt support while strangers exhibited the opposite pattern. Findings suggest that human attachments provide a familiar backdrop of temporal regularities, required for the brain's allostatic function, and interbrain and behavioral synchrony are sculpted by familiarity and closeness toward resource-sensitive performance of survival-related social goals, toiled by two.

Socioeconomic status (SES)-related health disparities persist for numerous chronic diseases, with lower-SES individuals exhibiting greater risk of morbidity and mortality compared to their higher-SES counterparts. One likely contributor is disparities in health messaging efforts, which are currently less effective for motivating health behavior change among those lower in SES. Drawing on communication neuroscience and social neuroscience research, we describe a conceptual framework to improve health messaging effectiveness in lower SES communities. The framework is based on evidence that health-message-induced activity in the ventral striatum (VS) and subdivisions of the medial pre-frontal cortex (MPFC) predicts behavior change. Additionally, we draw from social neuroscience work showing that activity in these regions during valuation and the processing of self-related vs. social information, differs as a function of SES. Bringing together these previously disparate lines of work, we argue that health messages emphasizing the benefits to close others (vs. the self) of engaging in behavior change will be more effective among lower SES individuals. We also outline a research agenda based on our framework. Ultimately, we hope that this framework utilizing a “brain-as-predictor” approach generates novel insights about the neural underpinnings of message-induced behavior change among lower SES individuals, and helps to close the gap in SES-based health disparities by harnessing the power of neuroimaging.

All life must strategically conserve and allocate resources in order to meet the challenges of living. Social Baseline Theory suggests that, for humans, social context and the social resources therein are a central ecology in human phylogeny. In ontogeny, this manifests in flexible bioenergetic strategies that vary in the population based on social history. We introduce yielding, a conservation process wherein we relax physiological investment in response to a challenge when in the presence of a relational partner. The availability of these conserved resources then impact response to subsequent challenges while alone and if this pattern is habitual, it can reciprocally influence strategies used to solve or cope with typical stress. We discuss neural targets of this resource conservation and reframe our lab's previous studies on the social regulation of neural threat responding within this framework. We then show functional magnetic resonance imaging (fMRI) data indicating the presence of relational partners decreases blood-oxygen-level-dependent (BOLD) response to threat in key targets of resource conservation (e.g., dlPFC, dACC, and insula) and that stronger signal reduction in these areas coincide with less BOLD in pre-frontal (dlPFC. vmPFC) and visuo-sensory integration (occipital cortex, precuneus, superior parietal lobule) regions during ostracism. Finally, we show that these neural relationships are associated with less use of self-regulation-based coping strategies two years post scanning. Taken together, we show the utility of yielding both as a concept and as a bioenergetic process which helps to conserve energy in this social primate.

Humans are strongly dependent upon social resources for allostasis and emotion regulation. This applies especially to early childhood because humans—as an altricial species—have a prolonged period of dependency on support and input from caregivers who typically act as sources of co-regulation. Accordingly, attachment theory proposes that the history and quality of early interactions with primary caregivers shape children's internal working models of attachment. In turn, these attachment models guide behavior, initially with the set goal of maintaining proximity to caregivers but eventually paving the way to more generalized mental representations of self and others. Mounting evidence in non-clinical populations suggests that these mental representations coincide with differential patterns of neural structure, function, and connectivity in a range of brain regions previously associated with emotional and cognitive capacities. What is currently lacking, however, is an evidence-based account of how early adverse attachment-related experiences and/or the emergence of attachment disorganization impact the developing brain. While work on early childhood adversities offers important insights, we propose that how these events become biologically embedded crucially hinges on the context of the child–caregiver attachment relationships in which the events take place. Our selective review distinguishes between direct social neuroscience research on disorganized attachment and indirect maltreatment-related research, converging on aberrant functioning in neurobiological systems subserving aversion, approach, emotion regulation, and mental state processing in the wake of severe attachment disruption. To account for heterogeneity of findings, we propose two distinct neurobiological phenotypes characterized by hyper- and hypo-arousal primarily deriving from the caregiver serving either as a threatening or as an insufficient source of co-regulation, respectively.

It is unknown whether measures adapted from social neuroscience linked to specific neural systems will demonstrate relationships to external variables. Four paradigms adapted from social neuroscience were administered to 173 clinically stable outpatients with schizophrenia to determine their relationships to functionally meaningful variables and to investigate their incremental validity beyond standard measures of social and nonsocial cognition. The 4 paradigms included 2 that assess perception of nonverbal social and action cues (basic biological motion and emotion in biological motion) and 2 that involve higher level inferences about self and others mental states (self-referential memory and empathic accuracy). Overall, social neuroscience paradigms showed significant relationships to functional capacity but weak relationships to community functioning; the paradigms also showed weak correlations to clinical symptoms. Evidence for incremental validity beyond standard measures of social and nonsocial cognition was mixed with additional predictive power shown for functional capacity but not community functioning. Of the newly adapted paradigms, the empathic accuracy task had the broadest external validity. These results underscore the difficulty of translating developments from neuroscience into clinically useful tasks with functional significance.

The psychometric properties of 4 paradigms adapted from the social neuroscience literature were evaluated to determine their suitability for use in clinical trials of schizophrenia. This 2-site study (University of California, Los Angeles and University of North Carolina) included 173 clinically stable schizophrenia outpatients and 88 healthy controls. The social cognition battery was administered twice to the schizophrenia group (baseline, 4-week retest) and once to the control group. The 4 paradigms included 2 that assess perception of nonverbal social and action cues (basic biological motion and emotion in biological motion) and 2 that involve higher level inferences about self and others mental states (self-referential memory and empathic accuracy). Each paradigm was evaluated on (1) patient vs healthy control group differences, (2) test-retest reliability, (3) utility as a repeated measure, and (4) tolerability. Of the 4 paradigms, empathic accuracy demonstrated the strongest characteristics, including large between-group differences, adequate test-retest reliability (.72), negligible practice effects, and good tolerability ratings. The other paradigms showed weaker psychometric characteristics in their current forms. These findings highlight challenges in adapting social neuroscience paradigms for use in clinical trials.

Social cognitive impairment is prominent in schizophrenia, and it is closely related to functional outcome. Partly for these reasons, it has rapidly become a target for both training and psychopharmacological interventions. However, there is a paucity of reliable and valid social cognitive endpoints that can be used to evaluate treatment response in clinical trials. Also, clinical studies in schizophrenia have benefited rather little from the surge of activity and knowledge in nonclinical social neuroscience. The National Institute of Mental Health-sponsored study, "Social Cognition and Functioning in Schizophrenia" (SCAF), attempted to address this translational challenge by selecting paradigms from social neuroscience that could be adapted for use in schizophrenia. The project also evaluated the psychometric properties and external validity of the tasks to determine their suitability for multisite clinical trials. This first article in the theme section presents the goals, conceptual background, and rationale for the SCAF project.

The goals of the project Social Cognition and Functioning in Schizophrenia (SCAF) were to (1) identify the domains to target from social neuroscience for translation to clinical schizophrenia research, (2) identify the paradigms that represent these domains for which the neural substrates are well documented, (3) adapt these paradigms for use in schizophrenia clinical trials, (4) assess the psychometric properties of these measures, and (5) assess the external validity of these measures. The articles in this theme section present the initial findings from the SCAF project. As more training and psychopharmacological studies evaluate interventions for social cognition, the articles in this theme section are intended to serve as a guide for informed design decisions about possible endpoints in clinical trials.

• Virtual Reality (VR) can induce inter-brain synchrony. • Conducting a collaborative task together in VR has increased inter-brain synchrony between people who involved in the task. • Having a first-person perspective in VR has induced inter-brain synchrony in beta frequency while doing a collaborative task. Researchers have employed hyperscanning, a technique used to simultaneously record neural activity from multiple participants, in real-world collaborations. However, to the best of our knowledge, there is no study that has used hyperscanning in Virtual Reality (VR). The aims of this study were; firstly, to replicate results of inter-brain synchrony reported in existing literature for a real world task and secondly, to explore whether the inter-brain synchrony could be elicited in a Virtual Environment (VE). This paper reports on three pilot-studies in two different settings (real-world and VR). Paired participants performed two sessions of a finger-pointing exercise separated by a finger-tracking exercise during which their neural activity was simultaneously recorded by electroencephalography (EEG) hardware. By using Phase Locking Value (PLV) analysis, VR was found to induce similar inter-brain synchrony as seen in the real-world. Further, it was observed that the finger-pointing exercise shared the same neurally activated area in both the real-world and VR. Based on these results, we infer that VR can be used to enhance inter-brain synchrony in collaborative tasks carried out in a VE. In particular, we have been able to demonstrate that changing visual perspective in VR is capable of eliciting inter-brain synchrony. This demonstrates that VR could be an exciting platform to explore the phenomena of inter-brain synchrony further and provide a deeper understanding of the neuroscience of human communication. [ABSTRACT FROM AUTHOR]

Individuals with a predisposition to empathize engage with sad music in a compelling way, experiencing overall more pleasurable emotions. However, the neural mechanisms underlying these music-related experiences in empathic individuals are unknown. The present study tested whether dispositional empathy modulates neural responses to sad compared with happy music. Twenty-four participants underwent fMRI while listening to 4-min blocks of music evoking sadness or happiness. Using voxel-wise regression, we found a positive correlation between trait empathy (with scores assessed by the Interpersonal Reactivity Index) and eigenvector centrality values in the ventromedial prefrontal cortex (vmPFC), including the medial orbitofrontal cortex (mOFC). We then performed a functional connectivity (FC) analysis to detect network nodes showing stronger FC with the vmPFC/mOFC during the presentation of sad versus happy music. By doing so, we identified a "music-empathy" network (vmPFC/mOFC, dorsomedial prefrontal cortex, primary visual cortex, bilateral claustrum and putamen, and cerebellum) that is spontaneously recruited while listening to sad music and includes brain regions that support the coding of compassion, mentalizing, and visual mental imagery. Importantly, our findings extend the current understanding of empathic behaviors to the musical domain and pinpoint sad music as an effective stimulus to be employed in social neuroscience research. [ABSTRACT FROM AUTHOR]

Traditional disciplines have frequently dealt with complex phenomena from a given level of analysis, be that molecular, cellular, organ system, or organismic level. This can yield highly valuable information on biological and psychological processes. There is an explanatory value added, however, by an integrative multilevel approach, in which different levels of analysis and different levels of the neural organization are considered in the models and theories of psychological functions. This is the essence of the emerging discipline of social neuroscience, promoted by John Cacioppo and Gary Berntson, which seeks to inform the interactions between social psychological and biological processes. [ABSTRACT FROM AUTHOR]

Socioeconomic status (SES)-related health disparities persist for numerous chronic diseases, with lower-SES individuals exhibiting greater risk of morbidity and mortality compared to their higher-SES counterparts. One likely contributor is disparities in health messaging efforts, which are currently less effective for motivating health behavior change among those lower in SES. Drawing on communication neuroscience and social neuroscience research, we describe a conceptual framework to improve health messaging effectiveness in lower SES communities. The framework is based on evidence that health-message-induced activity in the ventral striatum (VS) and subdivisions of the medial pre-frontal cortex (MPFC) predicts behavior change. Additionally, we draw from social neuroscience work showing that activity in these regions during valuation and the processing of self-related vs. social information, differs as a function of SES. Bringing together these previously disparate lines of work, we argue that health messages emphasizing the benefits to close others (vs. the self) of engaging in behavior change will be more effective among lower SES individuals. We also outline a research agenda based on our framework. Ultimately, we hope that this framework utilizing a "brain-as-predictor" approach generates novel insights about the neural underpinnings of message-induced behavior change among lower SES individuals, and helps to close the gap in SES-based health disparities by harnessing the power of neuroimaging. [ABSTRACT FROM AUTHOR]

Increasingly, online platforms are being used to deliver psychotherapy. This, along with the growth in computational psychiatry, provides scientists with new opportunities to quantify how patient–therapist relationships relate to treatment outcomes. We argue that it is necessary to investigate markers and mechanisms that enable successful psychotherapy, and the establishment of therapeutic alliance in particular, using computational tools. [ABSTRACT FROM AUTHOR]

The recent decade has seen a shift from artificial and environmentally deprived experiments in neuroscience to real-life studies on multiple brains in interaction, coordination and synchrony. In these new interpersonal synchrony experiments, there has been a growing trend to employ naturalistic social interactions to evaluate mechanisms underlying synchronous neuronal communication. Here, we emphasize the importance of integrating the assessment of neural synchrony with measurement of nonverbal behavioral synchrony as expressed in various social contexts: relaxed social interactions, planning a joint pleasurable activity, conflict discussion, invocation of trauma, or support giving and assess the integration of neural and behavioral synchrony across developmental stages and psychopathological conditions. We also showcase the advantages of magnetoencephalography neuroimaging as a promising tool for studying interactive neural synchrony and consider the challenge of ecological validity at the expense of experimental rigor. We review recent evidence of rhythmic information flow between brains in interaction and conclude with addressing state-of-the-art developments that may contribute to advance research on brain-to-brain coordination to the next level. [ABSTRACT FROM AUTHOR]

The social neuroscience approach to prejudice investigates the psychology of intergroup bias by integrating models and methods of neuroscience with the social psychology of prejudice, stereotyping, and discrimination. Here, we review major contemporary lines of inquiry, including current accounts of group-based categorization; formation and updating of prejudice and stereotypes; effects of prejudice on perception, emotion, and decision making; and the self-regulation of prejudice. In each section, we discuss key social neuroscience findings, consider interpretational challenges and connections with the behavioral literature, and highlight how they advance psychological theories of prejudice. We conclude by discussing the next-generation questions that will continue to guide the social neuroscience approach toward addressing major societal issues of prejudice and discrimination. [ABSTRACT FROM AUTHOR]

Developments in cognitive neuroscience have led to the emergence of hyperscanning, the simultaneous measurement of brain activity from multiple people. Hyperscanning is useful for investigating social cognition, including joint action, because of its ability to capture neural processes that occur within and between people as they coordinate actions toward a shared goal. Here, we provide a practical guide for researchers considering using hyperscanning to study joint action and seeking to avoid frequently raised concerns from hyperscanning skeptics. We focus specifically on Electroencephalography (EEG) hyperscanning, which is widely available and optimally suited for capturing fine-grained temporal dynamics of action coordination. Our guidelines cover questions that are likely to arise when planning a hyperscanning project, ranging from whether hyperscanning is appropriate for answering one's research questions to considerations for study design, dependent variable selection, data analysis and visualization. By following clear guidelines that facilitate careful consideration of the theoretical implications of research design choices and other methodological decisions, joint action researchers can mitigate interpretability issues and maximize the benefits of hyperscanning paradigms., (© The Author(s) 2024. Published by Oxford University Press.)

Humans are strongly dependent upon social resources for allostasis and emotion regulation. This applies especially to early childhood because humans—as an altricial species—have a prolonged period of dependency on support and input from caregivers who typically act as sources of co-regulation. Accordingly, attachment theory proposes that the history and quality of early interactions with primary caregivers shape children's internal working models of attachment. In turn, these attachment models guide behavior, initially with the set goal of maintaining proximity to caregivers but eventually paving the way to more generalized mental representations of self and others. Mounting evidence in non-clinical populations suggests that these mental representations coincide with differential patterns of neural structure, function, and connectivity in a range of brain regions previously associated with emotional and cognitive capacities. What is currently lacking, however, is an evidence-based account of how early adverse attachment-related experiences and/or the emergence of attachment disorganization impact the developing brain. While work on early childhood adversities offers important insights, we propose that how these events become biologically embedded crucially hinges on the context of the child–caregiver attachment relationships in which the events take place. Our selective review distinguishes between direct social neuroscience research on disorganized attachment and indirect maltreatment-related research, converging on aberrant functioning in neurobiological systems subserving aversion, approach, emotion regulation, and mental state processing in the wake of severe attachment disruption. To account for heterogeneity of findings, we propose two distinct neurobiological phenotypes characterized by hyper- and hypo-arousal primarily deriving from the caregiver serving either as a threatening or as an insufficient source of co-regulation, respectively. [ABSTRACT FROM AUTHOR]

This paper examines the continuity between the research programs of Norbert Elias and George Herbert Mead. It shows that the two authors left us with the outlines of a sociological theory that is dialectical, process oriented, alert to the interplay of affect, reason, and society, and dedicated to an empirical inquiry into the embodied nature of socio-psychological realty. After reviewing the areas where the two researchers converge and follow separate routs, I discuss recent developments in social neuroscience and behavioral epigenetics that support the program of embodied sociology articulated by Norbert Elias and George Herbert Mead. [ABSTRACT FROM AUTHOR]

Navigating the social world requires the ability to maintain and manipulate information about people's beliefs, traits, and mental states. We characterize this capacity as social working memory (SWM). To date, very little research has explored this phenomenon, in part because of the assumption that general working memory systems would support working memory for social information. Various lines of research, however, suggest that social cognitive processing relies on a neurocognitive network (i.e., the "mentalizing network") that is functionally distinct from, and considered antagonistic with, the canonical working memory network. Here, we review evidence suggesting that demanding social cognition requires SWM and that both the mentalizing and canonical working memory neurocognitive networks support SWM. The neural data run counter to the common finding of parametric decreases in mentalizing regions as a function of working memory demand and suggest that the mentalizing network can support demanding cognition, when it is demanding social cognition. Implications for individual differences in social cognition and pathologies of social cognition are discussed.