Comparing data quality from an online and in-person lab sample on dynamic theory of mind tasks.

Nearly half the published research in psychology is conducted with online samples, but the preponderance of these studies rely primarily on self-report measures. The current study validated data quality from an online sample on a novel, dynamic task by comparing performance between an in-lab and online sample on two dynamic measures of theory of mind-the ability to infer others' mental states. Theory of mind is a cognitively complex construct that has been widely studied across multiple domains of psychology. One task was based on the show The Office®, and has been previously validated by the authors with in-lab samples. The second was a novel task based on the show Nathan for You®, which was selected to account for familiarity effects associated with The Office. Both tasks measured various dimensions of theory of mind (inferring beliefs, understanding motivations, detecting deception, identifying faux pas, and understanding emotions). The in-person lab samples (N = 144 and 177, respectively) completed the tasks between-subject, whereas the online sample (N = 347 from Prolific Academic) completed them within-subject, with order counterbalanced. The online sample's performance across both tasks was reliable (Cronbach's α = .66). For The Office, the in-person sample outperformed the online sample on some types of theory of mind, but this was driven by their greater familiarity with the show. Indeed, for the relatively unfamiliar show Nathan for You, performance did not differ between the two samples. Together, these results suggest that crowdsourcing platforms elicit reliable performance on novel, dynamic, complex tasks.

Aging relates to a disproportionately weaker functional architecture of brain networks during rest and task states.

Functional connectivity - the co-activation of brain regions - forms the basis of the brain's functional architecture. Often measured during resting-state (i.e., in a task-free setting), patterns of functional connectivity within and between brain networks change with age. These patterns are of interest to aging researchers because age differences in resting-state connectivity relate to older adults' relative cognitive declines. Less is known about age differences in large-scale brain networks during directed tasks. Recent work in younger adults has shown that patterns of functional connectivity are highly correlated between rest and task states. Whether this finding extends to older adults remains largely unexplored. To this end, we assessed younger and older adults' functional connectivity across the whole brain using fMRI while participants underwent resting-state or completed directed tasks (e.g., a reasoning judgement task). Resting-state and task functional connectivity were less strongly correlated in older as compared to younger adults. This age-dependent difference could be attributed to significantly lower consistency in network organization between rest and task states among older adults. Older adults had less distinct or segregated networks during resting-state. This more diffuse pattern of organization was exacerbated during directed tasks. Finally, the default mode network, often implicated in neurocognitive aging, contributed strongly to this pattern. These findings establish that age differences in functional connectivity are state-dependent, providing greater insight into the mechanisms by which aging may lead to cognitive declines.

The association of depression stigma with barriers to seeking mental health care: a cross-sectional analysis.

Background: Stigma is one of several barriers to seeking mental health care. However, few studies have examined how stigma relates to other common barriers (e.g. attitudes about treatment, cost, time).Aims: This study investigated whether depression stigma (internalized or perceived) was related to other treatment-seeking barriers (attitudinal, structural) and whether depression severity influenced the strength of the association.Methods: We used multivariable-adjusted linear regression to model barrier outcomes as a function of internalized and perceived stigma in an undergraduate population (N = 2551). We evaluated potential effect modification by depression severity using likelihood-ratio tests.Results: Internalized stigma displayed a stronger association with overall barriers to care (including perceived need, negative treatment expectations, and structural barriers) than did perceived stigma. Higher internalized stigma predicted a stronger emphasis on each barrier to treatment measured. Sub-components of internalized stigma (e.g. alienation, stereotype endorsement) uniquely predicted a greater emphasis on distinct barriers.Conclusions: Internalized stigma is strongly linked to greater perception of barriers to mental health care. It may be necessary to address stigma and barriers concurrently rather than independently.

Psychological distance reduces the effect of internalized stigma on mental health treatment decisions.

Although stigma is a major barrier to treatment for those with mental health concerns, it is poorly understood when stigma is more or less influential in mental health treatment decisions. In the current work, we examined whether psychological distance - the removal of an event from direct experience - reduced the influence of internalized stigma on willingness to seek treatment. Specifically, we tested the hypothesis that psychological distance versus proximity (e.g., seeking treatment in three months vs. in two days, respectively) decreases the negative influence of stigma on willingness to seek treatment. We focused on a population for whom mental health treatment decisions are personally-relevant: individuals who had previously sought mental health treatment. Experiment 1 showed that the extent to which these individuals internalized (i.e., personally endorsed) stigma about mental illness predicted lower intentions to make an appointment with a mental health care provider for themselves (but not another person). Experiment 2 replicated this result using a different measure of psychological distance (temporal distance) and extended this finding to behavior (time spent reading mental health resources). Overall, this research demonstrated that internalized stigma disrupts mental health treatment-seeking intentions and behaviors when they are psychologically proximal, but not when they are distant. Potential applications of these results are discussed.

Age differences in specific neural connections within the Default Mode Network underlie theory of mind.

Theory of mind (i.e., the ability to infer others' mental states) - a fundamental social cognitive ability - declines with increasing age. Prior investigations have focused on identifying task-evoked differences in neural activation that underlie these performance declines. However, these declines could also be related to dysregulation of the baseline, or 'intrinsic', functional connectivity of the brain. If so, age differences in intrinsic connectivity may provide novel insight into the mechanisms that contribute to poorer theory of mind in older adults. To examine this possibility, we assessed younger and older adults' theory of mind while they underwent task-based fMRI, as well as the intrinsic functional connectivity measured during resting-state within the (task-defined) theory of mind network. Older adults exhibited poorer theory of mind behavioral performance and weaker intrinsic connectivity within this network compared to younger adults. Intrinsic connectivity between the right temporoparietal junction and the right temporal pole mediated age differences in theory of mind. Specifically, older adults had weaker intrinsic connectivity between right temporoparietal junction and right temporal pole that explained their poorer theory of mind behavioral performance. These findings broaden our understanding of aging and social cognition and reveal more specific mechanisms of how aging impacts theory of mind.

Are mental illnesses stigmatized for the same reasons? Identifying the stigma-related beliefs underlying common mental illnesses.

BACKGROUND: Although mental health stigmatization has myriad pernicious consequences, it remains unknown whether mental disorders are stigmatized for the same reasons. AIMS: This study identified the stigma-related beliefs that were associated with several common mental illnesses (Study 1), and the extent to which those beliefs predicted stigmatization (Study 2). METHODS: In Study 1, we used multidimensional scaling to identify the stigma-related beliefs attributed to nine common mental disorders (e.g. depression, schizophrenia). Study 2 explored whether beliefs commonly associated with depression predicted its stigmatization. RESULTS: In Study 1, we found that the nine mental illnesses differed from each other on two dimensions: social desirability and controllability. In Study 2, we found that regardless of participants' own depression status, their perceptions that depression is controllable predicted depression-related stigmatization. CONCLUSIONS: Our results suggest that stigmatization toward different mental illnesses stem from combinations of different stigmatized beliefs.

Reduced cognitive capacity impairs the malleability of older adults' negative attitudes to stigmatized individuals.

BACKGROUND: Although engaging explicit regulatory strategies may reduce negative bias toward outgroup members, these strategies are cognitively demanding and thus may not be effective for older adults (OA) who have reduced cognitive resources. The current study therefore examines whether individual differences in cognitive capacity disrupt OA' ability to explicitly regulate their bias to stigmatized individuals. METHODS: Young and OA were instructed to explicitly regulate their negative bias toward stigmatized individuals by using an explicit reappraisal strategy. Regulatory success was assessed as a function of age and individual differences in cognitive capacity (Experiment 1). In Experiment 2, the role of executive function in implementing cognitive reappraisal strategies was examined by using a divided attention manipulation. RESULTS: Results from Experiment 1 revealed that individual differences in OA' cognitive capacity disrupted their ability to regulate their negative emotional response to stigma. In Experiment 2, it was found that dividing attention in young adults (YA) significantly reduced their regulatory success as compared to YA' regulatory capacity in the full attention condition. As expected, dividing YA' attention made their performance similar to OA with relatively preserved cognitive capacity. CONCLUSION: Together, the results from this study demonstrated that individual differences in cognitive capacity predicted OA' ability to explicitly regulate their negative bias to a range of stigmatized individuals.

Neural response to evaluating depression predicts perceivers' mental health treatment recommendations.

Nonstigmatized perceivers' initial evaluations of stigmatized individuals have profound consequences for the well-being of those stigmatized individuals. However, the mechanism by which this occurs remains underexplored. Specifically, what beliefs about the stigmatized condition (stigma-related beliefs) shape how nonstigmatized perceivers evaluate and behave toward stigmatized individuals? We examined these questions with respect to depression-related stigmatization because depression is highly stigmatized and nondepressed individuals' behavior (e.g., willingness to recommend treatment) directly relates to removing stigma and increasing well-being. In Study 1, we identified common stigma-related beliefs associated with depression (e.g., not a serious illness, controllable, threatening), and found that only perceptions that depression is a serious condition predicted nondepressed perceivers' willingness to recommend mental health treatment. Moreover, perceivers' beliefs that depression is a distressing condition mediated the relationship between perceived seriousness and treatment recommendations (Study 1). In Study 2, we used fMRI to disentangle the potential processes connecting distress to nondepressed perceivers' self-reported treatment intentions. Heightened activity in the dorsomedial prefrontal cortex (dmPFC)-a region widely implicated in evaluating others-and the ventrolateral prefrontal cortex (vlPFC)-a region widely implicated in regulating negative emotions-emerged when nondepressed perceivers evaluated individuals who were ostensibly depressed. Beliefs that depression is a distressing condition mediated the relationship between dmPFC (but not vlPFC) activity and nondepressed individuals' self-reported treatment recommendations.

An fMRI investigation of the effects of culture on evaluations of stigmatized individuals.

Certain groups (e.g., women, older adults, and the economically disadvantaged) are universally stigmatized. Numerous studies, however, have identified cross-cultural differences in the attitudes expressed toward stigmatized groups. These differences may potentially be due to existing cross-cultural dissimilarities in social status for some groups. The current study used fMRI to examine whether Chinese and Caucasian-American participants engage the same cognitive and affective mechanisms when perceiving stigmatized individuals with similarly low social status in both cultures (homeless individuals), but different cognitive and/or affective processes when evaluating stigmatized individuals whose status differs across cultures (older adults). Using a social neuroscience approach can provide unique insight into this question because the neural regions involved in cognitive and affective evaluations of stigmatized individuals have been well characterized. Results revealed that Chinese participants and Caucasian-American participants engaged similar patterns of negative affective processing associated with disgust (left anterior insula) when evaluating homeless individuals. Moreover, self-reported negative explicit attitudes toward homeless individuals were associated with increased activity in the insula. However, Chinese participants and Caucasian-American participants engaged increased activity in neural regions associated with status (ventral striatum) when they evaluated older adults. Moreover, self-reported attitudes toward older adults and ventral striatal activity were correlated with the extent to which participants reported being affiliated with their respective cultural traditions.

Dynamic neural mechanisms underlie race disparities in social cognition.

Race disparities in behavior may emerge in several ways, some of which may be independent of implicit bias. To mitigate the pernicious effects of different race disparities for racial minorities, we must understand whether they are rooted in perceptual, affective, or cognitive processing with regard to race perception. We used fMRI to disentangle dynamic neural mechanisms predictive of two separable race disparities that can be obtained from a trustworthiness ratings task. Increased coupling between regions involved in perceptual and affective processing when viewing Black versus White faces predicted less later racial trust disparity, which was related to implicit bias. In contrast, increased functional coupling between regions involved in controlled processing predicted less later disparity in the differentiation of Black versus White faces with regard to perceived trust, which was unrelated to bias. These findings reveal that distinct neural signatures underlie separable race disparities in social cognition that may or may not be related to implicit bias.

Evidence for the role of affective theory of mind in face-name associative memory.

Poor face-name recall has been associated with age-related impairments in cognitive functioning, namely declines in episodic memory and executive control. However, the role of social cognitive function - the ability to remember, process, and store information about others - has been largely overlooked in this work. Extensive work has shown that social and nonsocial cognitive processes rely on unique, albeit overlapping, mechanisms. In the current study, we explored whether social cognitive functioning - specifically the ability to infer other people's mental states (i.e., theory of mind) - facilitates better face-name learning. To do this, a sample of 289 older and young adults completed a face-name learning paradigm along with standard assessments of episodic memory and executive control alongside two theory of mind measures, one static and one dynamic. In addition to expected age differences, several key effects emerged. Age-related differences in recognition were explained by episodic memory, not social cognition. However, age effects in recall were explained by both episodic memory and social cognition, specifically affective theory of mind in the dynamic task. Altogether, we contend that face-name recall can be supported by social cognitive functioning, namely understanding emotions. While acknowledging the influence of task characteristics (i.e., lures, target ages), we interpret these findings in light of existing accounts of age differences in face-name associative memory.

Social and general cognition are uniquely associated with social connectedness in later life.

The mechanisms by which older adults maintain large, complex social networks are not well understood. Prior work has primarily focused on general cognitive ability (e.g., executive function, episodic memory), largely overlooking social cognition-the ability to process, store, and remember social information. Because social cognition plays a key role in navigating social interactions and is distinct from general cognition, we examined whether general and social cognition uniquely predicted the nature of older adults' personal social networks. Our study leveraged comprehensive measures of general cognition (executive function, episodic memory), social cognition (face memory and dynamic measures of cognitive and affective theory of mind), and a rigorous measure of personal social networks from 143 community-dwelling older adults. We found that, when modeled together and controlling for sociodemographic variables, only executive function and dynamic cognitive theory of mind positively predicted having social networks with relatively unfamiliar, loosely connected others, accounting for 17% of the unique variance in older adults' social connectedness. Interestingly, having a social network comprised primarily of close, tightly knit relationships was negatively associated with affective theory of mind performance. Findings are discussed in the context of the social-cognitive resource framework-which suggests that social cognition may be more engaged in relatively unfamiliar, versus close, interactions. Specifically, our results show that social-cognitive processes may be relatively automatic for individuals whose primary social relationships are very close but may be more strongly engaged for individuals whose interactions include at least some relatively less close relationships. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Changes in stress predict worse mental health outcomes for college students than does loneliness; evidence from the COVID-19 pandemic.

Objectives: Although loneliness and stress have been widely implicated in worse mental health outcomes for college students, the relationship between them remains poorly understood. Participants: Data were collected from 111 undergraduates at a large Midwestern university in fall 2019 - winter 2020. A subset (N = 34) of those responded to a follow-up survey during the COVID-19 pandemic (May 2020). Methods: At both time points, participants completed measures of loneliness and stress, as well as well-validated measures of depression and anxiety. Results: Prior to the pandemic, stress mediated the positive relationship between loneliness and depression. During the pandemic, mental health outcomes, stress, and loneliness all increased. Stress, but not loneliness, predicted college students' worse mental health outcomes during the pandemic. Conclusions: Stress plays a key role in college students' worsening mental health. Reducing loneliness may be a potential strategy to mitigate the negative impact of stress on college students' mental health.

Stigma Toward Substance Dependence: Causes, Consequences, and Potential Interventions.

Substance dependence is a prevalent and urgent public health problem. In 2021, 60 million Americans reported abusing alcohol within the month prior to being surveyed, and nearly 20 million Americans reported using illegal drugs (e.g., heroin) or prescription drugs (e.g., opioids) for nonmedical reasons in the year before. Drug-involved overdose rates have been steadily increasing over the past 20 years. This increase has been primarily driven by opioid and stimulant use. Despite its prevalence, drug dependence is one of the most stigmatized health conditions. Stigma has myriad negative consequences for its targets, including limiting their access to employment and housing, disrupting interpersonal relationships, harming physical and mental health, and reducing help-seeking. However, because research on stigma toward people with substance use disorders (SUDs) is relatively sparse compared with research on stigma toward other mental illnesses, the field lacks a comprehensive understanding of the causes and consequences of SUD stigma. Moreover, it remains unclear how, if at all, these factors differ from other types of mental illness stigma. The goal of this review is to take stock of the literature on SUD stigma, providing a clear set of foundational principles and a blueprint for future research and translational activity.

Contact reduces substance use stigma through bad character attributions, especially for U.S. health care professionals.

OBJECTIVE: People with substance use disorders (SUDs) are faced with pervasive stigma. Education-based interventions tend to emphasize biological causes of dependency; however, health care professionals still stigmatize people who use substances despite being more knowledgeable about biological causes. There may be an important moderating role of personal contact since health care professionals may treat people in the throes of dependency. METHOD: We tested how substance use stigma may be explained by causal attributions, working in health care, and personal contact. A nationally representative sample of the U.S. general population (N = 6,812) was collected with targeted oversampling of health care professionals (N = 788). Using a vignette paradigm, desire for social distance was measured along with causal attributions and contact. RESULTS: Health care professionals were no less stigmatizing than the general population. However, attributing substance dependency to bad character was robustly associated with stigma, but these beliefs were moderated by the interaction between working in health care and contact. Mediation decomposition confirmed that contact transmitted its effect by lowering bad character attributions, and this mediation was significantly stronger for health care professionals. CONCLUSIONS: Health care professionals and the general population may hold similar levels of stigma when accounting for attributions, and personal contact plays an important role. We discuss the implications of these results for stigma-reduction campaigns and emphasize deconstructing personal culpability narratives surrounding substance use disorders. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Intergroup relationships with people who use drugs: A personal network approach.

Positive and meaningful intergroup contact between people who use drugs and those with the potential to provide positive social interactions has been identified as an important pathway to address the burden of drug use by reducing stigmatizing views and behaviors. Traditional approaches to intergroup contact typically rely on laboratory experiments or survey vignettes to examine the consequences of variation in contact conditions and relationships. Although seldom measured, contact occurs naturally through individuals' personal social networks. Here, we apply this latter approach to examine how the characteristics of drug use and social roles are associated with positive and meaningful intergroup contact in daily life. We leverage unique data from a state representative sample of Indiana residents aged 18 or older (n = 926) that completed a personal network interview and separately reported people they know who have a drug use problem. We first identified the respondents who nominated a person who uses drugs as a member of their core personal network and then evaluated the relationship, disease, and individual characteristics that were associated with that person's inclusion in the personal network. We find that primary relationships (e.g., having a spouse or child who uses drugs) are associated with meaningful contact with people who use drugs but that intense manifestations of disease characteristics (severe or problematic, danger to self) can limit the likelihood of contact. These findings demonstrate how the nature of intergroup contact can shape the types of relationships that have been shown to help reduce stigmatizing attitudes and the behavioral barriers to recovery, such as social isolation. Thus, core networks present a valuable approach to defining the factors that likely contribute to effective intergroup contact.

Determining Whether Older Adults Use Similar Strategies to Young Adults in Theory of Mind Tasks.

OBJECTIVES: Theory of mind-the ability to infer others' mental states-declines over the life span, potentially due to cognitive decline. However, it is unclear whether deficits emerge because older adults use the same strategies as young adults, albeit less effectively, or use different or no strategies. The current study compared the similarity of older adults' theory of mind errors to young adults' and a random model. METHODS: One hundred twenty older adults (MAge = 74.68 years; 64 female) and 111 young adults (MAge = 19.1; 61 female) completed a novel theory of mind task (clips from an episode of the sitcom The Office®), and a standard measure of cognitive function (Logical Memory II). Monte Carlo resampling estimated the likelihood that older adults' error patterns were more similar to young adults' or a random distribution. RESULTS: Age deficits emerged on the theory of mind task. Poorer performance was associated with less similarity to young adults' response patterns. Overall, older adults' response patterns were ~2.7 million times more likely to match young adults' than a random model. Critically, one fourth of older adults' errors were more similar to the random distribution. Poorer memory ability contributed to this relationship. DISCUSSION: Age deficits in theory of mind performance may be driven by a subset of older adults and be related to disparities in strategy use. A certain amount of cognitive ability may be necessary for older adults to engage similar strategies to young adults' during theory of mind.

They Cannot, They Will Not, or We Are Asking the Wrong Questions: Re-examining Age-Related Decline in Social Cognition.

Social cognition is critical for successfully navigating social relationships. Current evidence suggests that older adults exhibit poorer performance in several core social-cognitive domains compared to younger adults. Neurocognitive decline is commonly discussed as one of the key arbiters of age-related decline in social-cognitive abilities. While evidence supports this notion, age effects are likely attributable to multiple factors. This paper aims to recontextualize past evidence by focusing issues of motivation, task design, and representative samples. In light of these issues, we identify directions for future research to aide our understanding of social-cognitive aging.

Addiction onset and offset characteristics and public stigma toward people with common substance dependencies: A large national survey experiment.

Drug-related overdose deaths topped 100,000 between 2020 and 2021. Opioids and stimulants are implicated as the primary drivers of this public health crisis. Stigma remains one of the primary barriers to treatment and recovery from substance use disorders. However, little is known about how stigma varies across different substance types, whether individuals are actively using or in recovery, and medical versus recreational onset. We examined these questions using data from the 2021 Shatterproof Addiction Stigma Index, the only nationally representative data available on this topic. Respondents (N = 7051) completed a vignette-based survey experiment to assess public stigma (social distance, prejudice, competence, and causal attributions) toward people with alcohol, opioid (following a prescription pain or recreational use onset), heroin, or methamphetamine dependencies. Vignette characters were described as active users or in recovery. Adjusting for covariates (e.g., race, age, gender), prejudice and desire for social distance were highest toward heroin and methamphetamine, and lowest toward alcohol dependence. The perceived onset of the dependency affected stigma. Specifically, prescription opioids with a recreational onset were more stigmatized than those with a medical onset. Moreover, individuals depicted as being in recovery were less stigmatized than those depicted as active users. Recovery status had the largest impact on prejudice and social distance toward methamphetamine, relative to other conditions. The nature and magnitude of substance dependency stigma differs across substance types and onset and offset conditions. Reducing stigma will require tailored strategies that consider the multidimensional nature of stigma toward people with addiction.

Social cognitive network neuroscience.

Over the past three decades, research from the field of social neuroscience has identified a constellation of brain regions that relate to social cognition. Although these studies have provided important insights into the specific neural regions underlying social behavior, they may overlook the broader neural context in which those regions and the interactions between them are embedded. Network neuroscience is an emerging discipline that focuses on modeling and analyzing brain networks-collections of interacting neural elements. Because human cognition requires integrating information across multiple brain regions and systems, we argue that a novel social cognitive network neuroscience approach-which leverages methods from the field of network neuroscience and graph theory-can advance our understanding of how brain systems give rise to social behavior. This review provides an overview of the field of network neuroscience, discusses studies that have leveraged this approach to advance social neuroscience research, highlights the potential contributions of social cognitive network neuroscience to understanding social behavior and provides suggested tools and resources for conducting network neuroscience research.