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Loneliness is characterized by the subjective sense that one’s perspectives on the social world are not shared with others. We demonstrate that this feeling is not just perceptual bias: lonely individuals objectively represent culturally significant figures idiosyncratically. Across two independent brain imaging datasets, lonely participants exhibited idiosyncratic neural representations of well-known celebrities that deviated from group-consensus neural representations in the medial prefrontal cortex—a region that encodes and retrieves social knowledge (Studies 1A-1B). Because verbal communication is key to building shared reality, Study 2 tested whether idiosyncratic representations of celebrities are also reflected in lonely individuals’ language when communicating about them. Natural language processing methods revealed lonely participants were idiosyncratic in their language when communicating about celebrities that otherwise generated strong semantic agreement. Lonely individuals’ lack of overlap with others’ neural and semantic representations of cultural touchstones may serve as an implicit cue to them that they do not belong.

We are often surprised when an interaction we remember positively is recalled by a peer negatively. What colors social memories with positive versus negative hues? We show that when resting after a social experience, individuals showing similar default network responding subsequently remember more negative information, while individuals showing idiosyncratic default network responding remember more positive information. Results were specific to rest after the social experience (as opposed to before or during the social experience, or rest after a nonsocial experience). The results provide novel neural evidence in support of the “broaden and build” theory of positive emotion, which posits that while negative affect confines, positive affect broadens idiosyncrasy in cognitive processing. For the first time, we identified post-encoding rest as a key moment and the default network as a key brain system in which negative affect homogenizes, whereas positive affect diversifies social memories.

BACKGROUND: Poor social connection is a central feature of posttraumatic stress disorder (PTSD), but little is known about the neurocognitive processes associated with social difficulties in this population. We examined recruitment of the default network and behavioral responses during social working memory (i.e., maintaining and manipulating social information on a moment-to-moment basis) in relation to PTSD and social connection. METHODS: Participants with PTSD (n = 31) and a trauma-exposed control group (n = 21) underwent functional magnetic resonance imaging while completing a task in which they reasoned about two or four people’s relationships in working memory (social condition) and alphabetized two or four people’s names in working memory (non-social condition). Participants also completed measures of social connection (e.g., loneliness, social network size). RESULTS: Compared to trauma-exposed controls, individuals with PTSD reported smaller social networks (p = .032) and greater loneliness (p = .038). Individuals with PTSD showed a selective deficit in social working memory accuracy (p = .029) and hyperactivation in the default network, particularly in the dorsomedial subsystem, on trials with four relationships to consider. Moreover, default network hyperactivation in the PTSD group (vs. trauma-exposed group) differentially related to social network size and loneliness (p’s < .05). Participants with PTSD also showed less resting state functional connectivity within the dorsomedial subsystem than controls (p = .002), suggesting differences in the functional integrity of a subsystem key to social working memory. CONCLUSIONS: Social working memory abnormalities in the default network may be a basic mechanism underlying poorer social connection in PTSD.

Although mammals have a strong motivation to engage in social interaction, stress can significantly interfere with this desire. Indeed, research in nonhuman animals has shown that stress reduces social interaction, a phenomenon referred to as "stress-induced social avoidance." While stress and social disconnection are also intertwined in humans, to date, evidence that stress predicts reductions in social interaction is mixed, in part, because existing paradigms fail to capture social interaction naturalistically. To help overcome this barrier, we combined experience sampling and passive mobile sensing methods with time-lagged analyses (i.e., vector autoregressive modeling) to investigate the temporal impact of stress on real-world indices of social interaction. We found that, across a 2-month period, greater perceived stress on a given day predicted significantly decreased social interaction-measured by the amount of face to face conversation-the following day. Critically, the reverse pattern was not observed (i.e., social interaction did not temporally predict stress), and the effect of stress on social interaction was present while accounting for other related variables such as sleep, movement, and time spent at home. These findings are consistent with animal research on stress-induced social avoidance and lay the groundwork for creating naturalistic, mobile-sensing based human models to further elucidate the cycle between stress and real-world social interaction. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Significance For centuries, great thinkers have struggled to understand how people represent a personal identity that changes over time. Insight may come from a basic principle of perception: as objects become distant, they also become less discriminable or “compressed.” In Studies 1–3, we demonstrate that people’s ratings of their own personality become increasingly less differentiated as they consider more distant past and future selves. In Study 4, we found neural evidence that the brain compresses self-representations with time as well. When we peer out a window, objects close to us are in clear view, whereas distant objects are hard to tell apart. We provide evidence that self-perception may operate similarly, with the nuance of distant selves increasingly harder to perceive., A basic principle of perception is that as objects increase in distance from an observer, they also become logarithmically compressed in perception (i.e., not differentiated from one another), making them hard to distinguish. Could this basic principle apply to perhaps our most meaningful mental representation: our own sense of self? Here, we report four studies that suggest selves are increasingly non-discriminable with temporal distance from the present as well. In Studies 1 through 3, participants made trait ratings across various time points in the past and future. We found that participants compressed their past and future selves, relative to their present self. This effect was preferential to the self and could not be explained by the alternative possibility that individuals simply perceive arbitrary self-change with time irrespective of temporal distance. In Study 4, we tested for neural evidence of temporal self-compression by having participants complete trait ratings across time points while undergoing functional MRI. Representational similarity analysis was used to determine whether neural self-representations are compressed with temporal distance as well. We found evidence of temporal self-compression in areas of the default network, including medial prefrontal cortex and posterior cingulate cortex. Specifically, neural pattern similarity between self-representations was logarithmically compressed with temporal distance. Taken together, these findings reveal a “temporal self-compression” effect, with temporal selves becoming increasingly non-discriminable with distance from the present.

Social-neuroscience research has identified a set of medial frontoparietal brain regions that reliably engage during social cognition. At the same time, cognitive-neuroscience research has shown that these regions comprise part of the default network, so named because they reliably activate during mental breaks by default. Although the anatomical similarity between the social brain and the default brain is well documented, why this overlap exists remains a mystery. Does the tendency to engage these regions by default during rest have particular social functions, and if so, what might these be? Here, it is suggested that the default network performs two critical social functions during rest: social priming and social consolidation. These constructs will be defined, recently published empirical findings that support them will be reviewed, and directions for future research on the topic will be proposed.

There is a growing appreciation for the health benefits of giving support, though variability in such behavior exists. Based on the possibility that the dorsomedial (DMPFC) default network subsystem is associated with social thinking and behavior, integrity of this subsystem may facilitate giving support to others. The current study tested associations between DMPFC subsystem connectivity at rest and tendencies related to giving support. During a functional magnetic resonance imaging session, 45 participants completed an emotional social cues task, a resting-state scan and self-report measures of social support. Supportive behavior during the month following the scan was also assessed. Greater DMPFC subsystem connectivity at rest was associated with greater support giving (though not receiving or perceiving support) at the time of the scan and one month later. Results held after adjusting for extraversion. In addition, greater resting-state DMPFC subsystem connectivity was associated with attenuated dorsal anterior cingulate cortex, anterior insula and amygdala activity to others’ negative emotional social cues, suggesting that DMPFC subsystem integrity at rest is also associated with the dampened withdrawal response proposed to facilitate care for others in need. Together, results begin to hint at an additional role for the ‘default’ social brain: giving support to others.

Human imagination is bounded. As situations become more distant in time, place, perspective, and likelihood, they also become more difficult to simulate. What underlies the ability to successfully engage in distal simulations? Here we examine the psychological and neural mechanisms underlying distal simulation by studying individuals known for transcending these limits: creative experts. First, 2 behavioral studies establish that creative experts indeed succeed at engaging in vivid distal simulations, compared to less creative individuals. Performance on a traditional measure of creativity (Study 1) and real-world success in creative pursuits (Study 2) corresponded with more vivid distal simulations across temporal, spatial, social, and hypothetical domains. Study 3 used neuroimaging to identify the neural mechanism supporting creative experts' simulation success. Whereas creative experts and controls recruit the same neural mechanism (the medial prefrontal cortex) while simulating common or proximal events, creative experts preferentially engage a distinct neural mechanism (the dorsomedial subsystem of the default network) while simulating distal events. Moreover, creative experts showed greater functional connectivity within this network at rest, suggesting they may be prepared to engage this mechanism, by default. Studying creative expertise provides new insight into the ability to mentally transcend the here and now. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Background Since late 2019, the lives of people across the globe have been disrupted by COVID-19. Millions of people have become infected with the disease, while billions of people have been continually asked or required by local and national governments to change their behavioral patterns. Previous research on the COVID-19 pandemic suggests that it is associated with large-scale behavioral and mental health changes; however, few studies have been able to track these changes with frequent, near real-time sampling or compare these changes to previous years of data for the same individuals. Objective By combining mobile phone sensing and self-reported mental health data in a cohort of college-aged students enrolled in a longitudinal study, we seek to understand the behavioral and mental health impacts associated with the COVID-19 pandemic, measured by interest across the United States in the search terms coronavirus and COVID fatigue. Methods Behaviors such as the number of locations visited, distance traveled, duration of phone use, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife mobile smartphone sensing app. Depression and anxiety were assessed using weekly self-reported ecological momentary assessments, including the Patient Health Questionnaire-4. The participants were 217 undergraduate students. Differences in behaviors and self-reported mental health collected during the Spring 2020 term, as compared to previous terms in the same cohort, were modeled using mixed linear models. Results Linear mixed models demonstrated differences in phone use, sleep, sedentary time and number of locations visited associated with the COVID-19 pandemic. In further models, these behaviors were strongly associated with increased interest in COVID fatigue. When mental health metrics (eg, depression and anxiety) were added to the previous measures (week of term, number of locations visited, phone use, sedentary time), both anxiety and depression (P Conclusions In the initial lockdown phase of the COVID-19 pandemic, people spent more time on their phones, were more sedentary, visited fewer locations, and exhibited increased symptoms of anxiety and depression. As the pandemic persisted through the spring, people continued to exhibit very similar changes in both mental health and behaviors. Although these large-scale shifts in mental health and behaviors are unsurprising, understanding them is critical in disrupting the negative consequences to mental health during the ongoing pandemic.

Background:Since late 2019, the lives of people across the globe have been disrupted by COVID-19. Millions of people have become infected; billions have been continually asked or required by local and national governments to change their behavioral patterns. Previous research on the COVID-19 pandemic suggests that it is associated with large-scale behavioral and mental health changes, but few studies have been able to track these changes with frequent, near real-time sampling or compare these changes to previous years of data for the same individuals.Objectives:By combining mobile phone sensing and self-reported mental health data in a cohort of college-aged students enrolled in a longitudinal study, we seek to understand the behavioral and mental health impacts associated with the pandemic, measured by search term interest in "coronavirus" and "covid fatigue" across the United States.Methods:Behaviors such as the number of locations visited, distance traveled, duration of phone usage, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife mobile smartphone sensing app. Depression and anxiety were assessed using weekly self-reported Ecological Momentary Assessments (EMAs), including the Patient Health Questionnaire-4 (PHQ-4). Participants were 217 undergraduate students. Differences in behaviors and self-reported mental health collected during the Spring 2020 term, as compared to previous terms in the same cohort, were modeled using mixed linear models.Results:Linear mixed models observed differences in phone usage, sleep, sedentary time and the number of locations visited associated with the COVID-19 pandemic. In further models, these behaviors were strongly associated with increased interest in covid fatigue. When mental health metrics (e.g., depression and anxiety) were added to the previous measures (week of term, number of locations visited, phone usage, sedentary time), both anxiety and depression (_P_

BACKGROUND Since late 2019, the lives of people across the globe have been disrupted by COVID-19. Millions of people have become infected with the disease, while billions of people have been continually asked or required by local and national governments to change their behavioral patterns. Previous research on the COVID-19 pandemic suggests that it is associated with large-scale behavioral and mental health changes; however, few studies have been able to track these changes with frequent, near real-time sampling or compare these changes to previous years of data for the same individuals. OBJECTIVE By combining mobile phone sensing and self-reported mental health data in a cohort of college-aged students enrolled in a longitudinal study, we seek to understand the behavioral and mental health impacts associated with the COVID-19 pandemic, measured by interest across the United States in the search terms coronavirus and COVID fatigue. METHODS Behaviors such as the number of locations visited, distance traveled, duration of phone use, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife mobile smartphone sensing app. Depression and anxiety were assessed using weekly self-reported ecological momentary assessments, including the Patient Health Questionnaire-4. The participants were 217 undergraduate students. Differences in behaviors and self-reported mental health collected during the Spring 2020 term, as compared to previous terms in the same cohort, were modeled using mixed linear models. RESULTS Linear mixed models demonstrated differences in phone use, sleep, sedentary time and number of locations visited associated with the COVID-19 pandemic. In further models, these behaviors were strongly associated with increased interest in COVID fatigue. When mental health metrics (eg, depression and anxiety) were added to the previous measures (week of term, number of locations visited, phone use, sedentary time), both anxiety and depression (PCOVID fatigue. Notably, these behavioral and mental health changes are consistent with those observed around the initial implementation of COVID-19 lockdowns in the spring of 2020. CONCLUSIONS In the initial lockdown phase of the COVID-19 pandemic, people spent more time on their phones, were more sedentary, visited fewer locations, and exhibited increased symptoms of anxiety and depression. As the pandemic persisted through the spring, people continued to exhibit very similar changes in both mental health and behaviors. Although these large-scale shifts in mental health and behaviors are unsurprising, understanding them is critical in disrupting the negative consequences to mental health during the ongoing pandemic.

Background Gratitude has received growing interest as an emotion that can bring greater happiness and health. However, little is known about the effects of gratitude on objective measures of physical health or the neural mechanisms that underlie these effects. Given strong links between gratitude and giving behavior, and giving and health, it is possible that gratitude may benefit health through the same mechanisms as giving to others. Thus, this study investigated whether gratitude activates a neural ‘caregiving system’ (e.g., ventral striatum (VS), septal area (SA)), which can downregulate threat responding (e.g., amygdala) and possibly cellular inflammatory responses linked to health. Methods A parallel group randomized controlled trial examined the effect of a six-week online gratitude (n = 31) vs. control (n = 30) writing intervention on neural activity and inflammatory outcomes. Pre- and post-intervention, healthy female participants (ages 35–50) reported on support-giving behavior and provided blood samples to assess circulating plasma levels and stimulated monocytic production of tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6)). Post-intervention, participants completed a gratitude task and a threat reactivity task in an fMRI scanner. Results There were no significant group differences (gratitude vs. control intervention) in neural responses (VS, SA, or amygdala) to the gratitude or threat tasks. However, across the entire sample, those who showed larger pre- to- post-intervention increases in self-reported support-giving showed larger reductions in amygdala reactivity following the gratitude task (vs. control task). Additionally, those who showed larger reductions in amygdala reactivity following the gratitude task showed larger pre-to-post reductions in the stimulated production of TNF-α and IL-6. Importantly, gratitude-related reductions in amygdala reactivity statistically mediated the relationship between increases in support-giving and decreases in stimulated TNF-α production. Conclusion The observed relationships suggest that gratitude may benefit health (reducing inflammatory responses) through the threat-reducing effects of support-giving.

Humans give support, care, and assistance to others on a daily basis. However, the brain mechanisms that set such supportive behavior in motion are unknown. Based on previous findings demonstrating that activity in a portion of the brain’s default network—the dorsomedial prefrontal cortex (DMPFC)—during brief rest primes social thinking and behavior, momentary fluctuations in this brain region at rest may prime supportive responding. To test this hypothesis, 26 participants underwent functional magnetic resonance imaging (fMRI) while they alternated between deciding whether to give support to a close other in financial need, receive support for themselves, and make arbitrary decisions unrelated to support. Decisions were interleaved with brief periods of rest. Results showed that, within participants, spontaneous activity in the DMPFC during momentary periods of rest primed supportive-responding: greater activity in this region at the onset of a brief period of rest predicted, on a trial-by-trial basis, faster decisions to give support to the close other. Thus, activating the DMPFC as soon as our minds are free from external demands to attention may help individuals “default” to support-giving. Implications for understanding the prosocial functions of the resting brain are discussed.

Background Limited regulatory guidance surrounding the use of social media channels for participant recruitment is an interdisciplinary challenge. Establishing stakeholder-informed procedures is essential for ethical and effective use of social media for participant recruitment. Objective This study aims to provide replicable procedures for developing and implementing guidelines for using social media to recruit participants in research studies. Methods Social media use cases at the university were used to identify institutional stakeholders for the initiative. After establishing workflow procedures, a scoping review of web-based materials about recruitment and research on the internet and social media from 19 peer institutions and 2 federal agencies was conducted to inform the structure of the policies and procedures. End users (investigators and study coordinators; N=14) also provided feedback on the policies and procedures and implementation. Results Representatives (n=7) from 5 institutional offices and 15 subject-matter experts from 5 areas were identified as stakeholders in the development of policies and procedures. Peers with web-based materials (n=16) identified in the scoping review revealed 4 themes that served as a basis for developing our policies and procedures. End user feedback further informed the policies and procedures and implementation. A centrally managed social media account for communicating with participants and hosting advertising campaigns on social media was also established and, when combined with the policies and procedures, resulted in 39 advertising campaigns, and 2846 participants were enrolled in health and clinical research studies. Conclusions Our policies and procedures allow research teams to harness the potential of social media to increase study recruitment and participation; the transparent, stakeholder-informed process can be replicated by institutional administrators to establish policies and procedures that meet the interests and needs of their research community.

BACKGROUND The vast majority of people worldwide have been impacted by coronavirus disease (COVID-19). In addition to the millions of individuals who have been infected with the disease, billions of individuals have been asked or required by local and national governments to change their behavioral patterns. Previous research on epidemics or traumatic events suggests that this can lead to profound behavioral and mental health changes; however, researchers are rarely able to track these changes with frequent, near-real-time sampling or compare their findings to previous years of data for the same individuals. OBJECTIVE By combining mobile phone sensing and self-reported mental health data among college students who have been participating in a longitudinal study for the past 2 years, we sought to answer two overarching questions. First, have the behaviors and mental health of the participants changed in response to the COVID-19 pandemic compared to previous time periods? Second, are these behavior and mental health changes associated with the relative news coverage of COVID-19 in the US media? METHODS Behaviors such as the number of locations visited, distance traveled, duration of phone usage, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife smartphone sensing app. Depression and anxiety were assessed using weekly self-reported ecological momentary assessments of the Patient Health Questionnaire-4. The participants were 217 undergraduate students, with 178 (82.0%) students providing data during the Winter 2020 term. Differences in behaviors and self-reported mental health collected during the Winter 2020 term compared to previous terms in the same cohort were modeled using mixed linear models. RESULTS During the first academic term impacted by COVID-19 (Winter 2020), individuals were more sedentary and reported increased anxiety and depression symptoms (PPP=.03) were significantly associated with COVID-19–related news. CONCLUSIONS Compared with prior academic terms, individuals in the Winter 2020 term were more sedentary, anxious, and depressed. A wide variety of behaviors, including increased phone usage, decreased physical activity, and fewer locations visited, were associated with fluctuations in COVID-19 news reporting. While this large-scale shift in mental health and behavior is unsurprising, its characterization is particularly important to help guide the development of methods to reduce the impact of future catastrophic events on the mental health of the population.

BackgroundWorldwide, the vast majority of people have been impacted by COVID-19. While millions of individuals have become infected, billions of individuals have been asked or required by local and national governments to change their behavioral patterns. Previous research on epidemics or traumatic events suggest this can lead to profound behavioral and mental health changes, but rarely are researchers able to track these changes with frequent, near real-time sampling or compare these to previous years of data on the same individuals.ObjectivesWe seek to answer two overarching questions by combining mobile phone sensing and self-reported mental health data among college students participating in a longitudinal study for the past two years. First, have behaviors and mental health changed in response to the COVID-19 pandemic as compared to previous time periods within the same participants? Second, did behavior and mental health changes track the relative news coverage of COVID-19 in the US media?MethodsBehaviors were measured using the StudentLife mobile smartphone sensing app. Depression and anxiety were assessed using weekly self-reported Ecological Momentary Assessments (EMAs). Differences in behaviors and self-reported mental health collected during the Winter 2020 term (the term in which the coronavirus pandemic started), as compared to prevous terms in the same cohort, were modeled using mixed linear models.ResultsDuring the initial COVID-19 impacted academic term (Winter 2020), individuals were more sedentary and reported increased anxiety and depression symptoms (P

The Social Brain Hypothesis posits a quantitative relationship between primate neocortex size and social network size. However, the precise social-cognitive mechanisms that drive this relationship remain elusive. Social Working Memory (SWM)—the ability to actively maintain and manipulate social information—has been proposed as a potential mechanism, but, to date, has not been linked to network size. Here, we explicitly tested this association. In Study 1, 125 participants completed a SWM task and reported on their social networks. In Study 2, 25 participants underwent fMRI during the SWM task and reported on their social networks. As predicted, in Study 1, SWM performance was significantly associated with social network size and, specifically, “Sympathy Group” size (i.e., the size of one’s core friend group). In Study 2, we conceptually replicated and extended this effect by showing that neural activity in the dorsal medial prefrontal cortex and medial prefrontal cortex engaged during SWM (vs. non-social working memory) was associated with individual variation in Sympathy Group size. Taken together, these findings provide the first evidence that SWM constrains social network size, and suggest that SWM may be one social cognitive competency that underlies the Social Brain Hypothesis. In addition, whereas prior work investigating the Social Brain Hypothesis has largely focused on correlating brain structure size with social network size, to our knowledge, this is the first functional imaging evidence supporting the Social Brain Hypothesis.

Humans have a tendency to think about themselves. What generates this self-focus? One clue may come from the observation that the same part of the brain that supports self-reflection—the medial pFC (MPFC/Brodmann's area 10 [BA 10])—also spontaneously engages by default whenever the brain is free from external demands to attention. Here, we test the possibility that the default tendency to engage MPFC/BA 10 primes self-referential thinking. Participants underwent fMRI while alternating between brief periods of rest and experimental tasks in which they thought about their own traits, another person's traits, or another location's traits. Greater default engagement in MPFC/BA 10 during momentary breaks preferentially facilitated task performance on subsequent self-reflection trials on a moment-to-moment basis. These results suggest that reflexively engaging MPFC/BA 10 by default may nudge self-referential thinking, perhaps explaining why humans think about themselves so readily.

Brain regions engaged during social inference, medial prefrontal cortex (MPFC) and tempoparietal junction (TPJ), are also known to spontaneously engage during rest. While this overlap is well known, the social cognitive function of engaging these regions during rest remains unclear. Building on past research suggesting that new information is committed to memory during rest, we explored whether one function of MPFC and TPJ engagement during rest may be to consolidate new social information. MPFC and TPJ regions significantly increased connectivity during rest after encoding new social information (relative to baseline and post nonsocial encoding rest periods). Moreover, greater connectivity between rTPJ and MPFC, as well as other portions of the default network (vMPFC, anterior temporal lobe, and middle temporal gyrus) during post social encoding rest corresponded with superior social recognition and social associative memory. The tendency to engage MPFC and TPJ during rest may tune people towards social learning.

BACKGROUND Poor social connection is a central feature of posttraumatic stress disorder (PTSD), but little is known about the neurocognitive processes associated with social difficulties in this population. We examined recruitment of the default network and behavioral responses during social working memory (SWM; i.e., maintaining and manipulating social information on a moment-to-moment basis) in relation to PTSD and social connection. METHODS Participants with PTSD (n = 31) and a trauma-exposed control group (n = 21) underwent functional magnetic resonance imaging while completing a task in which they reasoned about two or four people's relationships in working memory (social condition) and alphabetized two or four people's names in working memory (nonsocial condition). Participants also completed measures of social connection (e.g., loneliness, social network size). RESULTS Compared to trauma-exposed controls, individuals with PTSD reported smaller social networks (p = .032) and greater loneliness (p = .038). Individuals with PTSD showed a selective deficit in SWM accuracy (p = .029) and hyperactivation in the default network, particularly in the dorsomedial subsystem, on trials with four relationships to consider. Moreover, default network hyperactivation in the PTSD group (vs. trauma-exposed group) differentially related to social network size and loneliness (p's

Social connection is critical to well-being, yet how the brain reflects our attachment to other people remains largely unknown. We combined univariate and multivariate brain imaging analyses to assess whether and how the brain organizes representations of others based on how connected they are to our own identity. During an fMRI scan, participants (N=43) completed a self- and other-reflection task for 16 targets: the self, five close others, five acquaintances, and five celebrities. In addition, they reported their subjective closeness to each target and their own trait loneliness. We examined neural responses to the self and others in a brain region that has been associated with self-representation (medial prefrontal cortex; MPFC) and across the whole brain. The structure of self-other representation in the MPFC and across the social brain appeared to cluster targets into three social categories: the self, social network members (including close others and acquaintances), and celebrities. Moreover, both univariate activation in MPFC and multivariate self-other similarity in MPFC and across the social brain increased with subjective self-other closeness ratings. Critically, participants who were less socially connected (i.e. lonelier) showed altered self-other mapping in social brain regions. Most notably, in MPFC, loneliness was associated with reduced representational similarity between the self and others. The social brain apparently maintains information about broad social categories as well as closeness to the self. Moreover, these results point to the possibility that feelings of chronic social disconnection may be mirrored by a ‘lonelier’ neural self-representation.Significance StatementSocial connection is critical to well-being, yet how the brain reflects our attachment to people remains unclear. We found that the social brain stratifies neural representations of people based on our subjective connection to them, separately clustering people who are and are not in our social network. Moreover, the people we feel closest to are represented most closely to ourselves. Finally, lonelier individuals also appeared to have a ‘lonelier’ neural self-representation in the MPFC, as loneliness attenuated the closeness between self and other neural representations in this region. The social brain appears to map our interpersonal ties, and alterations in this map may help explain why lonely individuals endorse statements such as ‘people are around me but not with me’.

Social scientists have documented the power of being heard: Disclosing emotional experiences to others promotes mental and physical health. Yet, far less is known about how listeners digest the sensitive information people share with them. We combined brain imaging and text analysis methods with a naturalistic emotional disclosure paradigm to assess how listeners form memories of others' disclosures. Neural and linguistic evidence support the hypothesis that listeners consolidate memories for others' disclosures during rest after listening and that their ability to do so facilitates subsequently providing the speakers with support. In Study 1, brain imaging methods showed that functional connectivity between the dorsomedial subsystem of the default network and frontoparietal control network increased during rest after listening to others' disclosures and predicted subsequent memory for their experiences. Moreover, graph analytic methods demonstrated that the left anterior temporal lobe may function as a connector hub between these two networks when consolidating memory for disclosures. In Study 2, linguistic analyses revealed other-focused thought increased during rest after listening to others' disclosures and predicted not only memory for the information disclosed but also whether listeners supported the speakers the next day. Collectively, these findings point to the important role of memory consolidation during rest in helping listeners respond supportively to others' disclosures. In our increasingly busy lives, pausing to briefly rest may not only help us care for ourselves but also help us care for others.

Although there has been much interest in understanding the effect of gratitude on health-related outcomes, this remains an understudied area of research, particularly regarding mechanisms and measurement of biological outcomes. The present study explored whether a gratitude intervention could reduce inflammatory outcomes and whether this occurred through increased support-giving. Healthy women (n = 76) were randomly assigned to a 6-week gratitude intervention (i.e., writing on topics intended to induce gratitude) or a control condition (i.e., neutral writing). Support-giving and markers of inflammation were measured pre- and postintervention. Those in the gratitude intervention (vs. control) reported higher postintervention levels of support-giving. Moreover, those with lower levels of psychological distress gave more support as a function of the gratitude intervention. Regarding inflammatory outcomes, although there was no effect of the gratitude intervention on postintervention inflammatory markers, increases in support-giving across the entire sample were related to decreases in inflammatory markers. These results, along with a scarcity of work in this area, suggest that further work is needed to more fully understand the relationships between gratitude and biological markers relevant to health. Finally, these novel findings linking support-giving and decreases in inflammation also indicate that the mammalian caregiving system, associated with enhanced support-giving and reduced physiological stress responding, is a mechanism worth further examination to elucidate the links between social support and health. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Research examining oxytocin and vasopressin in humans has the potential to elucidate neurobiological mechanisms underlying human sociality that have been previously unknown or not well characterized. A primary goal of this work is to increase our knowledge about neurodevelopmental and psychiatric disorders characterized by impairments in social cognition. However, years of research highlighting wide-ranging effects of, in particular, intranasal oxytocin administration have been tempered as the fields of psychology, neuroscience, and other disciplines have been addressing concerns over the reproducibility and validity of research findings. We present a series of behavioral tasks that were conducted using a randomized, double-blind, placebo controlled, between-subjects design, in which our research group found no main effects of oxytocin and vasopressin on a host of social outcomes. In addition to null hypothesis significance testing, we implemented equivalence testing and Bayesian hypothesis testing to examine the sensitivity of our findings. These analyses indicated that 47-83% of our results (depending on the method of post-hoc analysis) had enough sensitivity to detect the absence of a main effect. Our results add to evidence that intranasal oxytocin may have a more limited direct effect on human social processes than initially assumed and suggest that the direct effects of intranasal vasopressin may be similarly limited. Randomized controlled trial registration: NCT01680718.

We often interact with multiple people at a time and consider their various points-of-view to facilitate smooth social interaction. Yet, how our brains track multiple mental states at once, and whether skill in this domain links to navigating real-world social interactions, remains underspecified. To fill this gap, we developed a novel social working memory paradigm in which participants manage two- or four-people’s mental states in working memory, as well as control trials in which they alphabetize two- or four-people’s names in working memory. In Study 1, we found that the dorsomedial subsystem of the default network shows relative increases in activity with more mental states managed in working memory. In contrast, this subsystem shows relative decreases in activity with more non-mental state information (the number of names alphabetized) managed in working memory. In Study 2, only individual differences in managing mental states in working memory, specifically on trials that posed the greatest mental state load to working memory, correlated with social network integration. Collectively, these findings add further support to the hypothesis that social working memory relies on partially distinct brain systems and may be a key ingredient to success in a social world.

The self is not static. Our identities change considerably over development and across situations. Here, we propose one novel cause of self-change: simulating others. How could simply imagining others change the self? First, when simulating other people's mental states and traits, individuals access self-knowledge; they do so while concurrently considering information about the other person they are trying to understand. Second, episodic and semantic knowledge is malleable and susceptible to incorporating new, postevent information. If self-knowledge is similarly malleable, then simulation may change self-knowledge such that it incorporates information about the simulated person (i.e., "postevent information"). That is, simulation should render the self more similar to the simulated other. We test this hypothesis in 8 studies. In each study, participants (a) recalled personal information (e.g., traits and episodic memories), (b) simulated other people in similar contexts, and (c) re-recalled personal information. Results consistently demonstrated that simulating others changed self-knowledge, such that the self becomes more similar to the simulated other. This effect occurred for both traits and memories, spanned self-report and linguistic measures, and persisted 24 hr after simulation. The findings suggest that self-knowledge is susceptible to misinformation effects similar to those observed in other forms of semantic and episodic knowledge. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Background The vast majority of people worldwide have been impacted by coronavirus disease (COVID-19). In addition to the millions of individuals who have been infected with the disease, billions of individuals have been asked or required by local and national governments to change their behavioral patterns. Previous research on epidemics or traumatic events suggests that this can lead to profound behavioral and mental health changes; however, researchers are rarely able to track these changes with frequent, near-real-time sampling or compare their findings to previous years of data for the same individuals. Objective By combining mobile phone sensing and self-reported mental health data among college students who have been participating in a longitudinal study for the past 2 years, we sought to answer two overarching questions. First, have the behaviors and mental health of the participants changed in response to the COVID-19 pandemic compared to previous time periods? Second, are these behavior and mental health changes associated with the relative news coverage of COVID-19 in the US media? Methods Behaviors such as the number of locations visited, distance traveled, duration of phone usage, number of phone unlocks, sleep duration, and sedentary time were measured using the StudentLife smartphone sensing app. Depression and anxiety were assessed using weekly self-reported ecological momentary assessments of the Patient Health Questionnaire-4. The participants were 217 undergraduate students, with 178 (82.0%) students providing data during the Winter 2020 term. Differences in behaviors and self-reported mental health collected during the Winter 2020 term compared to previous terms in the same cohort were modeled using mixed linear models. Results During the first academic term impacted by COVID-19 (Winter 2020), individuals were more sedentary and reported increased anxiety and depression symptoms (P Conclusions Compared with prior academic terms, individuals in the Winter 2020 term were more sedentary, anxious, and depressed. A wide variety of behaviors, including increased phone usage, decreased physical activity, and fewer locations visited, were associated with fluctuations in COVID-19 news reporting. While this large-scale shift in mental health and behavior is unsurprising, its characterization is particularly important to help guide the development of methods to reduce the impact of future catastrophic events on the mental health of the population.

The medial prefrontal cortex (MPFC) has been posited to serve a variety of social, affective, and cognitive functions. These conclusions have largely been driven by forward inference analyses (e.g. GLM fMRI studies and meta-analyses) that indicate where domain-specific tasks tend to produce activity but tell us little about what those regions do. Here, we take a multi-method, multi-domain approach to the functionality of MPFC subdivisions within Brodmann areas 9-11. We consider four methods that each have reverse inference or causal inference value: lesion work, transcranial magnetic stimulation, multivariate pattern analysis, and Neurosynth analyses. The Neurosynth analyses include multi-term reverse inference analyses that compare several domains of interest to one another at once. We examine the evidence supporting structure-function links in five domains: social cognition, self, value, emotional experience, and mental time travel. The evidence is considered for each of three MPFC subdivisions: dorsomedial prefrontal cortex (DMPFC), anteromedial prefrontal cortex (AMPFC), and ventromedial prefrontal cortex (VMPFC). Although there is evidentiary variability across methods, the results suggest that social processes are functionally linked to DMPFC (and somewhat surprisingly in VMPFC), self processes are linked to AMPFC, and affective processes are linked to AMPFC and VMPFC. There is also a relatively non-selective region of VMPFC that may support situational processing, a process key to each domain, but also independent of each.

Despite the importance of perspective taking for navigating the social world, even healthy adults frequently misinterpret what other people think and feel. Yet, to date, no research examines whether perspective-taking accuracy can be improved among healthy adult samples. Building off of work suggesting that social working memory (SWM) capacity (i.e., the ability to maintain and manipulate social cognitive information in mind) predicts perspective-taking skills, we developed a novel SWM training intervention to test the hypothesis that SWM training improves perspective-taking accuracy. Participants were randomly assigned to complete 12 days of either SWM training or nonsocial, “cognitive working memory” (CWM) training (active control condition). Perspective-taking accuracy was assessed pre- and posttraining. SWM training significantly increased perspective-taking accuracy and these improvements significantly surpassed improvements made by participants who underwent CWM training. SWM training therefore may be an efficient route toward improved perspective-taking accuracy.

© 2014 Elsevier Ltd. Background: Empathy improves our ability to communicate in social interactions and motivates prosocial behavior. The neuropeptides arginine vasopressin and oxytocin play key roles in socioemotional processes such as pair bonding and parental care, which suggests that they may be involved in empathic processing. Methods: We investigated how vasopressin and oxytocin affect empathic responding in a randomized, double-blind, placebo controlled, between-subjects study design. We also examined the moderating role of parental warmth, as reported in the early family environment, on empathic responding following vasopressin, oxytocin, or placebo administration. Results: Among participants who reported higher levels of paternal warmth (but not maternal warmth), vasopressin (vs. placebo and oxytocin) increased ratings of empathic concern after viewing distressing and uplifting videos. No main or interaction effects were found for individuals who received oxytocin. Conclusions: Vasopressin has a role in enhancing empathy among individuals who received higher levels of paternal warmth. Trial registration: NCT01680718.

Chiao, Cheon, Pornpattananangkul, Mrazek, and Blizinsky offer a comprehensive review of cultural neuroscience research. For such a young field, cultural neuroscience has made great strides in the e...

Humans observe various peoples’ social suffering throughout their lives, but it is unknown whether the same brain mechanisms respond to people we are close to and strangers’ social suffering. To address this question, we had participant’s complete functional magnetic resonance imaging (fMRI) while observing a friend and stranger experience social exclusion. Observing a friend’s exclusion activated affective pain regions associated with the direct (i.e. firsthand) experience of exclusion [dorsal anterior cingulate cortex (dACC) and insula], and this activation correlated with self-reported self-other overlap with the friend. Alternatively, observing a stranger’s exclusion activated regions associated with thinking about the traits, mental states and intentions of others [‘mentalizing’; dorsal medial prefrontal cortex (DMPFC), precuneus, and temporal pole]. Comparing activation from observing friend’s vs stranger’s exclusion showed increased activation in brain regions associated with the firsthand experience of exclusion (dACC and anterior insula) and with thinking about the self [medial prefrontal cortex (MPFC)]. Finally, functional connectivity analyses demonstrated that MPFC and affective pain regions activated in concert during empathy for friends, but not strangers. These results suggest empathy for friends’ social suffering relies on emotion sharing and self-processing mechanisms, whereas empathy for strangers’ social suffering may rely more heavily on mentalizing systems.

Keeping track of various amounts of social cognitive information, including people's mental states, traits, and relationships, is fundamental to navigating social interactions. However, to date, no research has examined which brain regions support variable amounts of social information processing (“social load”). We developed a social working memory paradigm to examine the brain networks sensitive to social load. Two networks showed linear increases in activation as a function of increasing social load: the medial frontoparietal regions implicated in social cognition and the lateral frontoparietal system implicated in nonsocial forms of working memory. Of these networks, only load-dependent medial frontoparietal activity was associated with individual differences in social cognitive ability (trait perspective-taking). Although past studies of nonsocial load have uniformly found medial frontoparietal activity decreases with increasing task demands, the current study demonstrates these regions do support increasing mental effort when such effort engages social cognition. Implications for the etiology of clinical disorders that implicate social functioning and potential interventions are discussed.

Although children's use of a variety of strategies to solve arithmetic problems has been well documented, there is no agreed on standardized and validated method for assessing this mix. We examined the convergent validity of typically achieving (TA, N = 39) and low achieving (LA, N = 20) second and third grade children's strategy choices in simple addition using three different methods: child self-report, observer-report, and response time (RT). The high concordance between child and observer reports (Kappa = .948) in both groups suggests that the participants were aware of, and could accurately report, the strategies they used. The Receiver-Operator Characteristic (ROC) analysis showed that RT accurately differentiated between retrieval and counting (AUC = 82%). The specificity and sensitivity of the ROC profiles were significantly greater for the TA group than for LA group, even though the groups did not differ in the overall strategy mix. Our findings suggest that ROC analysis is more sensitive to group differences in the mechanisms governing strategy choice than observation or child report. Children's use of retrieval strategies as well as accuracy during both retrieval and counting trials were all related to the central executive, but not the phonological and visuospatial sketchpad, component of working memory. We discuss the implication of these findings for early mathematical learning.

Individuals with social anxiety are characterized by a high degree of social sensitivity, which can coincide with impairments in social cognitive functioning (e.g. theory of mind). Oxytocin (OT) and vasopressin (AVP) have been shown to improve social cognition, and OT has been theorized as a potential therapeutic agent for individuals with social anxiety disorder. However, no study has investigated whether these neuropeptides improve social cognitive ability among socially anxious individuals. In a randomized, double-blind, placebo controlled, between-subjects design we investigated whether social anxiety moderated the effects of OT or AVP (vs placebo) on social working memory (i.e. working memory that involves manipulating social information) and non-social working memory. OT vs placebo impaired social working memory accuracy in participants with higher levels of social anxiety. No differences were found for non-social working memory or for AVP vs placebo. Results suggest that OT administration in individuals with higher levels of social anxiety may impair social cognitive functioning. Randomized-controlled trial registration: NCT01680718.

Two competing views implicate interdependence in empathy. One suggests that interdependence may generally enhance empathy (Woltin et al., British Journal of Social Psychology 50:553–562, 2011), whereas another suggests that interdependence enhances empathy for targets with whom one is in a relationship, at the cost of decreasing empathy for strangers (Markus and Kitayama, Perspectives on Psychological Science 5(4):420–430, 2010). Here, we show evidence in support of the latter account. We observed that trait-level interdependence positively correlated with trait-level empathic abilities in perspective-taking and empathic concern. However, using an empathy for social exclusion paradigm, we found that neural responses to a friend’s compared to a stranger’s social exclusion (vs. inclusion) differentially related to interdependence, perspective-taking and empathic concern. During the observation of a friend’s social exclusion (vs. inclusion), neural responses in the medial prefrontal cortex (MPFC), and to a lesser extent the dorsal anterior cingulate cortex (dACC) and anterior insula (AI), positively correlated with self-reported trait interdependence, perspective-taking, and empathic concern. In contrast, during the observation of a stranger’s social exclusion (vs. inclusion), neural responses in the MPFC, and to a lesser extent the dACC and AI, negatively correlated with self-reported trait interdependence, perspective-taking and empathic concern. These findings suggest that while trait interdependence may correspond with enhanced ability to empathize, as indicated by self-report measures, interdependent individuals may preferentially recruit this ability for close others relative to strangers.

Engaging social working memory (SWM) during effortful social cognition has been associated with neural activation in two neurocognitive systems: the medial frontoparietal system and the lateral frontoparietal system. However, the respective roles played by these systems in SWM remain unknown. Results from this study demonstrate that only the medial frontoparietal system supports the social cognitive demands managed in SWM. In contrast, the lateral frontoparietal system supports the non-social cognitive demands that are needed for task performance, but that are independent of the social cognitive computations. Moreover, parametric increases in the medial frontoparietal system, but not the lateral frontoparietal system, in response to SWM load predicted performance on a challenging measure of perspective-taking. Thus, the medial frontoparietal system may uniquely support social cognitive processes in working memory and the working memory demands afforded by effortful social cognition, such as the need to track another person's perspective in mind.