Exploring the link among injury severity, white matter connectivity and psychosocial outcomes in pediatric TBI: a probabilistic tractography approach.

AIM: We examined associations among injury severity, white matter structural connectivity within functionally defined brain networks and psychosocial/adaptive outcomes in children with traumatic brain injury (TBI). METHOD: Participants included 58 youths (39 male) with complicated-mild TBI (cmTBI; n = 12, age = 12.6 ± 2.0), moderate/severe TBI (msTBI; n = 16, age = 11.4 ± 2.9) and a comparison group with orthopedic injury (OI; n = 24, age = 11.7 ± 2.1), at least 1 year post-injury. Participants underwent diffusion tensor imaging and parents rated children's behavioral and adaptive function on the CBCL and ABAS-3, respectively. Probabilistic tractography quantified streamline density. Group differences were analyzed for structural connectivity and behavioral outcomes. RESULTS: Groups differed in structural connectivity within regions of the default mode and central executive networks (ps < .05, FDR corrected). The msTBI group displayed decreased connectivity relative to cmTBI and OI, whereas the cmTBI group displayed increased connectivity relative to msTBI and OI. Similar patterns emerged in several behavioral domains. Ordinary least squares path analyses showed that structural connectivity mediated the relationship between injury severity and multiple parent-reported outcomes for msTBI. INTERPRETATION: White matter structural connectivity may explain unique variance in long-term psychosocial and adaptive outcome in children with TBI, particularly in cases of moderate-to-severe injury.

Camouflaging, internalized stigma, and mental health in the general population.

BACKGROUND: Camouflaging, the strategies that some autistic people use to hide their differences, has been hypothesized to trigger mental health ramifications. Camouflaging might reflect ubiquitous impression management experiences that are not unique to autistic people and similarly impact the mental health of non-autistic people. AIMS: We first examined whether individuals in the general population camouflage and manage impressions while experiencing mental health repercussions, and how gender and neurodivergent traits modified these associations. We then assessed how camouflaging and impression management arose from internalized stigma, and their inter-relationships in shaping mental health outcomes. METHODS: Data were collected from 972 adults from a representative U.S. general population sample, with measures pertaining to camouflaging, impression management, mental health, internalized stigma, and neurodivergent traits. Multivariate hierarchical regression and moderated mediation analyses were used to address the two research aims. RESULTS: Both camouflaging and self-presentation (a key component of impression management) were associated with mental health presentations in the general population, which overlapped with those previously reported in autistic people. These associations were more pronounced in women compared with men and were of different directions for individuals with higher autistic traits versus higher ADHD traits. Internalized stigma might be a key stressor that could elicit camouflaging and impression management through social anxiety, which in turn might lead to adverse mental health outcomes. CONCLUSIONS: These findings advance the conceptual clarity and clinical relevance of camouflaging and impression management across social and neurodiverse groups in the general population. The ramifications of camouflaging and impression management underscore the need to alleviate internalized stigma for better mental health across human groups.

The dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and predictors of camouflaging in a representative general population sample.

OBJECTIVES: Some autistic people "camouflage" their differences by modeling neurotypical behaviors to survive in a neurotypical-dominant social world. It remains elusive whether camouflaging is unique to autism or if it entails similar experiences across human groups as part of ubiquitous impression management (IM). Here we examined camouflaging engagement and theoretical drivers in the general population, drawing on the transactional IM framework and contextualizing findings within both contemporary autism research and the past IM literature. METHODS: A large representative U.S. general population sample (N = 972) completed this survey study. We combined exploratory item factor analysis and graph analysis to triangulate the dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and examined its correspondence with prior autism-enriched psychometric findings. We then employed hierarchical regression and elastic-net regression to identify the predictors of camouflaging, including demographic (e.g., age, gender), neurodivergence (i.e., autistic and ADHD traits), socio-motivational, and cognitive factors. RESULTS: We found a three-factor/dimensional structure of the CAT-Q in the general population, nearly identical to that found in previous autism-enriched samples. Significant socio-motivational predictors of camouflaging included greater social comparison, greater public self-consciousness, greater internalized social stigma, and greater social anxiety. These camouflaging drivers overlap with findings in recent autistic camouflaging studies and prior IM research. CONCLUSIONS: The novel psychometric and socio-motivational evidence demonstrates camouflaging as a shared social coping experience across the general population, including autistic people. This continuity guides a clearer understanding of camouflaging and has key implications for autism scholars, clinicians, and the broader clinical intersecting with social psychology research. Future research areas are mapped to elucidate how camouflaging/IM manifests and functions within person-environment transactions across social-identity and clinical groups.

Framing Subjective Emotion Reports as Dynamic Affective Decisions.

Self-reports remain affective science's only direct measure of subjective affective experiences. Yet, little research has sought to understand the psychological process that transforms subjective experience into self-reports. Here, we propose that by framing these self-reports as dynamic affective decisions, affective scientists may leverage the computational tools of decision-making research, sequential sampling models specifically, to better disentangle affective experience from the noisy decision processes that constitute self-report. We further outline how such an approach could help affective scientists better probe the specific mechanisms that underlie important moderators of affective experience (e.g., contextual differences, individual differences, and emotion regulation) and discuss how adopting this decision-making framework could generate insight into affective processes more broadly and facilitate reciprocal collaborations between affective and decision scientists towards a more comprehensive and integrative psychological science.

Not Who You Are, But Who You Are With: Re-examining Women's Less Satisfying Sexual Debuts.

Gender differences in appraisals of first intercourse are among the largest in sexuality research, with women indicating less satisfying "sexual debuts" than men. Dispositional or "actor-level" explanations for this gender gap are pervasive, yet research has largely examined heterosexual debuts in which actor gender and partner gender are confounded. We assessed whether women's less satisfying sexual debuts are better explained by actor gender or partner gender, comparing experiences of women who debuted with men (WDM) with those of men and women who debuted with women (MDW, WDW). Retrospective accounts of sexual debut were collected from 3033 adults. At first intercourse, we found that WDW had equal physical and emotional satisfaction to MDW, and more satisfaction than WDM, suggesting satisfaction gaps owing to partner gender, not actor gender. This pattern did not extend to a comparison event (first masturbation), where WDW and WDM had similar satisfaction, but less satisfaction than MDW, suggesting an actor gender gap. To identify sources of satisfaction gaps, we probed for corresponding differences in the circumstances of sexual debut. Sexual circumstances were more strongly implicated than nonsexual ones, with relative deprivation of glans stimulation explaining relative dissatisfaction at first intercourse, but not first masturbation, and orgasm explaining it at both. Findings challenge the view that the satisfaction gap at first intercourse reflects an inherent difference between genders. Indeed, they demonstrate similarities when partner gender does not differ and suggest strategies for ensuring equal sexual satisfaction-and equal sexual rights realization-at (hetero) sexual debut.

Deliberative control is more than just reactive: Insights from sequential sampling models.

Activating relevant responses is a key function of automatic processes in De Neys's model; however, what determines the order or magnitude of such activation is ambiguous. Focusing on recently developed sequential sampling models of choice, we argue that proactive control shapes response generation but does not cleanly fit into De Neys's automatic-deliberative distinction, highlighting the need for further model development.

AI and the transformation of social science research.

Careful bias management and data fidelity are key.

Motivated Categories: Social Structures Shape the Construction of Social Categories Through Attentional Mechanisms.

PUBLIC ABSTRACT: Social categories like race and gender often give rise to stereotypes and prejudice, and a great deal of research has focused on how motivations influence these biased beliefs. Here, we focus on potential biases in how these categories are even formed in the first place, suggesting that motivations can influence the very categories people use to group others. We propose that motivations to share schemas with other people and to gain resources shape people's attention to dimensions like race, gender, and age in different contexts. Specifically, people will pay attention to dimensions to the degree that the conclusions produced from using those dimensions align with their motivations. Overall, we suggest that simply examining the downstream effects of social categorization like stereotyping and prejudice is not enough, and that research should look earlier in the process at how and when we form the categories on which those stereotypes are based.

Social and moral psychology of COVID-19 across 69 countries.

The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.

Decoupling the Conflicting Evaluative Meanings in Automatically Activated Race-Based Associations.

Implicit measures of attitudes have classically focused on the association between a social group and generalized valence, but debate exists surrounding how these associations arise and what they can tell us about beliefs and attitudes. Here, we suggest that representations of oppression, which relate positively to implicitly measured prejudice but negatively to explicitly measured prejudice, can serve to decrease the predictive validity of implicit measures through statistical suppression. We had participants complete a Black-White implicit association test (IAT) and an IAT measuring representations of oppression, and find that oppression-related representations statistically suppress the relation between IAT scores and explicit attitudes, such that accounting for these representations increases the total amount of variance explained by implicit measures. We discuss the implications of this work both for practical matters around use of the IAT and for theoretical debates on the conceptualization of valence in implicit attitudes.

Pilot Study of Associations Among Functional Connectivity and Neurocognition in Survivors of Pediatric Brain Tumor and Healthy Peers.

This pilot study examined the associations among functional connectivity in the salience, central executive, and default mode networks, and neurocognition in pediatric brain tumor survivors and healthy children. Thirteen pediatric brain tumor survivors (9 boys, M = 12.76 years) and 10 healthy children (6 boys, M = 12.70 years) completed magnetic resonance imaging (MRI) and assessment of processing speed and executive function. Pediatric brain tumor survivors performed more poorly than healthy children on measures of processing speed, divided attention, and working memory; parent ratings of day-to-day executive function did not differ significantly by group, though both pediatric brain tumor survivors who underwent only surgical resection and healthy children were rated by parents as having difficulties approaching a standard deviation above the normative mean. Connectivity was lower in the salience network and greater in the default mode network in pediatric brain tumor survivors. Cross-method correlations showed that increased salience network and default mode network connectivity were associated with better task performance and parent-rated executive skills and higher central executive network connectivity with poorer parent-rated executive skills. This perhaps reflects an adaptive pattern of hyperconnectivity in pediatric brain tumor survivors.

Novelty and uncertainty regulate the balance between exploration and exploitation through distinct mechanisms in the human brain.

Both novelty and uncertainty are potent features guiding exploration; however, they are often experimentally conflated, and an understanding of how they interact to regulate the balance between exploration and exploitation has proved elusive. Using a task designed to decouple the influence of novelty and uncertainty, we identify separable mechanisms through which exploration is directed. We show that uncertainty-directed exploration is sensitive to the prospective benefit offered by new information, whereas novelty-directed exploration is maintained regardless of its potential advantage. Using a computational framework in conjunction with fMRI, we show that uncertainty-directed choice is rooted in an adaptive bias indexing the prospective utility of exploration. In contrast, novelty persistently promotes exploration by optimistically inflating reward expectations while simultaneously dampening uncertainty signals. Our results identify separable neural substrates charged with balancing the explore/exploit trade-off to foster a manageable decomposition of an otherwise intractable problem.

The labelled container: Conceptual development of social group representations.

Pietraszewski contends that group representations that rely on a "containment metaphor" fail to adequately capture phenomena of group dynamics such as shifts in allegiances. We argue, in contrast, that social categories allow for computationally efficient, richly structured, and flexible group representations that explain some of the most intriguing aspects of social group behaviour.

Reconsidering autistic 'camouflaging' as transactional impression management.

Social performances pervade human interactions. Some autistic people describe their social performances as 'camouflaging' and engage in these performances to mitigate social challenges and survive in the neurotypical world. Here, we reconsider autistic camouflaging under the unifying framework of impression management (IM) by examining overlapping and unique motivations, neurocognitive mechanisms, and consequences. Predictive coding and Bayesian principles are synthesized into a computational model of IM that applies to autistic and neurotypical people. Throughout, we emphasize the inherently transactional, context-dependent nature of IM, the distinct computational challenges faced by autistic people, and the psychological toll that compelled IM can take. Viewing camouflaging through this lens highlights the pressing needs to change societal attitudes, destigmatize autism, refine social skills-building programs for autistic individuals, and integrate these programs with environment-focused support.

National identity predicts public health support during a global pandemic.

Changing collective behaviour and supporting non-pharmaceutical interventions is an important component in mitigating virus transmission during a pandemic. In a large international collaboration (Study 1, N = 49,968 across 67 countries), we investigated self-reported factors associated with public health behaviours (e.g., spatial distancing and stricter hygiene) and endorsed public policy interventions (e.g., closing bars and restaurants) during the early stage of the COVID-19 pandemic (April-May 2020). Respondents who reported identifying more strongly with their nation consistently reported greater engagement in public health behaviours and support for public health policies. Results were similar for representative and non-representative national samples. Study 2 (N = 42 countries) conceptually replicated the central finding using aggregate indices of national identity (obtained using the World Values Survey) and a measure of actual behaviour change during the pandemic (obtained from Google mobility reports). Higher levels of national identification prior to the pandemic predicted lower mobility during the early stage of the pandemic (r = -0.40). We discuss the potential implications of links between national identity, leadership, and public health for managing COVID-19 and future pandemics.

Contour features predict valence and threat judgements in scenes.

Quickly scanning an environment to determine relative threat is an essential part of survival. Scene gist extracted rapidly from the environment may help people detect threats. Here, we probed this link between emotional judgements and features of visual scenes. We first extracted curvature, length, and orientation statistics of all images in the International Affective Picture System image set and related them to emotional valence scores. Images containing angular contours were rated as negative, and images containing long contours as positive. We then composed new abstract line drawings with specific combinations of length, angularity, and orientation values and asked participants to rate them as positive or negative, and as safe or threatening. Smooth, long, horizontal contour scenes were rated as positive/safe, while short angular contour scenes were rated as negative/threatening. Our work shows that particular combinations of image features help people make judgements about potential threat in the environment.

Avoidance begets avoidance: A computational account of negative stereotype persistence.

Research on stereotype formation has proposed a variety of reasons for how inaccurate stereotypes arise, focusing largely on accounts of motivation and cognitive efficiency. Here, we instead consider how stereotypes arise from basic processes of approach and avoidance in social learning. Across five studies, we show that initial negative interactions with some members of a group can cause subsequent avoidance of the entire group, and that this avoidance perpetuates stereotypes in two ways. First, when information gain is contingent on approaching the target, avoidance restricts the information available with which to update one's beliefs. Second, computational models that consider the perceiver's full reinforcement history demonstrate that avoidance directly reinforces itself, such that initial avoidance of group members increases the probability of later acts of avoidance toward that group. Finally, we find initial evidence for a potential dissociation between behavior and explicit beliefs, with avoidance reinforcing avoidant behaviors without necessarily affecting self-reported beliefs. Overall, these results suggest that avoidance behaviors toward members of social groups can perpetuate inaccurate negative beliefs and expectations about those groups, such that initial interactions with a group have a compounding effect on overall impressions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Multiple scales of valence processing in the brain.

Psychological theories posit that affective experiences can be decomposed into component constituents, yet disagree on the level of representation of these components. Affective experiences have been previously described as emerging from core dimensions of valence and arousal. However, this view needs to be reconciled with accounts of valence processing in appetitive and aversive circuits from the neuroscience literature. Here we offer an account of affect that allows for both perspectives but compares across levels of analysis. At one level of analysis, valence and arousal are observed already in the properties of encountered stimuli and the appetitive and aversive neural circuits that engage accordingly. At another level of analysis, the explicit experiential aspect of affective processes are compressed and appraised in a manner that allows these experiences to be organized along valence and arousal axes. We review both the behavioral neuroscience evidence on appetitive and aversive circuits as well as the cognitive neuroscience literature on compression in information coding across multiple domains of processing. We argue that these processes are domain-general and adapt these principles to provide a perspective on how valence can be represented at multiple scales in the brain.