Value-based neural representations predict social decision preferences.

Social decision-making is omnipresent in everyday life, carrying the potential for both positive and negative consequences for the decision-maker and those closest to them. While evidence suggests that decision-makers use value-based heuristics to guide choice behavior, very little is known about how decision-makers' representations of other agents influence social choice behavior. We used multivariate pattern expression analyses on fMRI data to understand how value-based processes shape neural representations of those affected by one's social decisions and whether value-based encoding is associated with social decision preferences. We found that stronger value-based encoding of a given close other (e.g. parent) relative to a second close other (e.g. friend) was associated with a greater propensity to favor the former during subsequent social decision-making. These results are the first to our knowledge to explicitly show that value-based processes affect decision behavior via representations of close others.

Early life adversity is associated with greater similarity in neural representations of ambiguous and threatening stimuli.

Exposure to early life adversity (ELA) is hypothesized to sensitize threat-responsive neural circuitry. This may lead individuals to overestimate threat in the face of ambiguity, a cognitive-behavioral phenotype linked to poor mental health. The tendency to process ambiguity as threatening may stem from difficulty distinguishing between ambiguous and threatening stimuli. However, it is unknown how exposure to ELA relates to neural representations of ambiguous and threatening stimuli, or how processing of ambiguity following ELA relates to psychosocial functioning. The current fMRI study examined multivariate representations of threatening and ambiguous social cues in 41 emerging adults (aged 18 to 19 years). Using representational similarity analysis, we assessed neural representations of ambiguous and threatening images within affective neural circuitry and tested whether similarity in these representations varied by ELA exposure. Greater exposure to ELA was associated with greater similarity in neural representations of ambiguous and threatening images. Moreover, individual differences in processing ambiguity related to global functioning, an association that varied as a function of ELA. By evidencing reduced neural differentiation between ambiguous and threatening cues in ELA-exposed emerging adults and linking behavioral responses to ambiguity to psychosocial wellbeing, these findings have important implications for future intervention work in at-risk, ELA-exposed populations.

Sensory processing challenges as a novel link between early caregiving experiences and mental health.

Early caregiving adversity (ECA) is associated with elevated psychological symptomatology. While neurobehavioral ECA research has focused on socioemotional and cognitive development, ECA may also increase risk for "low-level" sensory processing challenges. However, no prior work has compared how diverse ECA exposures differentially relate to sensory processing, or, critically, how this might influence psychological outcomes. We examined sensory processing challenges in 183 8-17-year-old youth with and without histories of institutional (orphanage) or foster caregiving, with a particular focus on sensory over-responsivity (SOR), a pattern of intensified responses to sensory stimuli that may negatively impact mental health. We further tested whether sensory processing challenges are linked to elevated internalizing and externalizing symptoms common in ECA-exposed youth. Relative to nonadopted comparison youth, both groups of ECA-exposed youth had elevated sensory processing challenges, including SOR, and also had heightened internalizing and externalizing symptoms. Additionally, we found significant indirect effects of ECA on internalizing and externalizing symptoms through both general sensory processing challenges and SOR, covarying for age and sex assigned at birth. These findings suggest multiple forms of ECA confer risk for sensory processing challenges that may contribute to mental health outcomes, and motivate continuing examination of these symptoms, with possible long-term implications for screening and treatment following ECA.

Revisiting the Neural Architecture of Adolescent Decision-Making: Univariate and Multivariate Evidence for System-Based Models.

Understanding adolescent decision-making is significant for informing basic models of neurodevelopment as well as for the domains of public health and criminal justice. System-based theories posit that adolescent decision-making is guided by activity amongst reward and control processes. While successful at explaining behavior, system-based theories have received inconsistent support at the neural level, perhaps because of methodological limitations. Here, we used two complementary approaches to overcome said limitations and rigorously evaluate system-based models. Using decision-level modeling of fMRI data from a risk-taking task in a sample of 2000+ decisions across 51 human adolescents (25 females, mean age = 15.00 years), we find support for system-based theories of decision-making. Neural activity in lateral prefrontal cortex and a multivariate pattern of cognitive control both predicted a reduced likelihood of risk-taking, whereas increased activity in the nucleus accumbens predicted a greater likelihood of risk-taking. Interactions between decision-level brain activity and age were not observed. These results garner support for system-based accounts of adolescent decision-making behavior.SIGNIFICANCE STATEMENT:Adolescent decision-making behavior is of great import for basic science, and carries equally consequential implications for public health and criminal justice. While dominant psychological theories seeking to explain adolescent decision-making have found empirical support, their neuroscientific implementations have received inconsistent support. This may be partly due to statistical approaches employed by prior neuroimaging studies of system-based theories. We used brain modeling-an approach that predicts behavior from brain activity-of univariate and multivariate neural activity metrics to better understand how neural components of psychological systems guide decision behavior in adolescents. We found broad support for system-based theories such that neural systems involved in cognitive control predicted a reduced likelihood to make risky decisions, whereas value-based systems predicted greater risk-taking propensity.

Characterizing the Network Architecture of Emotion Regulation Neurodevelopment.

The ability to regulate emotions is key to goal attainment and well-being. Although much has been discovered about neurodevelopment and the acquisition of emotion regulation, very little of this work has leveraged information encoded in whole-brain networks. Here we employed a network neuroscience framework to parse the neural underpinnings of emotion regulation skill acquisition, while accounting for age, in a sample of children and adolescents (N = 70, 34 female, aged 8-17 years). Focusing on three key network metrics-network differentiation, modularity, and community number differences between active regulation and a passive emotional baseline-we found that the control network, the default mode network, and limbic network were each related to emotion regulation ability while controlling for age. Greater network differentiation in the control and limbic networks was related to better emotion regulation ability. With regards to network community structure (modularity and community number), more communities and more crosstalk between modules (i.e., less modularity) in the control network were associated with better regulatory ability. By contrast, less crosstalk (i.e., greater modularity) between modules in the default mode network was associated with better regulatory ability. Together, these findings highlight whole-brain connectome features that support the acquisition of emotion regulation in youth.

Parent and Friend Relationship Quality and Links to Trajectories of Loneliness During the First Year of College.

Beginning college involves changes that can increase one's vulnerability to loneliness and associated negative outcomes. Parent and friend relationships are potential protective factors against loneliness given their positive association with adjustment. The present longitudinal study, with data collection at baseline, 1 month, and 2 months later, assessed the comparative effects of self-reported parent and friend relationship quality on loneliness in first-year college students (N = 101; 80 female, Mage = 18.36). At baseline, parent and friend relationship quality were negatively associated with loneliness. Longitudinal data revealed that friend relationship quality interacted with time, such that its effects on loneliness attenuated over the course of 2 months. By contrast, parent relationship quality continued to predict lower loneliness 2 months post-baseline. These results highlight the importance of close relationships and suggest that targeting relationship quality could be effective in helping youth transition to college.

Brain parcellation selection: An overlooked decision point with meaningful effects on individual differences in resting-state functional connectivity.

Over the past decade extensive research has examined the segregation of the human brain into large-scale functional networks. The resulting network maps, i.e. parcellations, are now commonly used for the a priori identification of functional networks. However, the use of these parcellations, particularly in developmental and clinical samples, hinges on four fundamental assumptions: (1) the various parcellations are equally able to recover the networks of interest; (2) adult-derived parcellations well represent the networks in children's brains; (3) network properties, such as within-network connectivity, are reliably measured across parcellations; and (4) parcellation selection does not impact the results with regard to individual differences in given network properties. In the present study we examined these assumptions using eight common parcellation schemes in two independent developmental samples. We found that the parcellations are equally able to capture networks of interest in both children and adults. However, networks bearing the same name across parcellations (e.g., default network) do not produce reliable within-network measures of functional connectivity. Critically, parcellation selection significantly impacted the magnitude of associations of functional connectivity with age, poverty, and cognitive ability, producing meaningful differences in interpretation of individual differences in functional connectivity based on parcellation choice. Our findings suggest that work employing parcellations may benefit from the use of multiple schemes to confirm the robustness and generalizability of results. Furthermore, researchers looking to gain insight into functional networks may benefit from employing more nuanced network identification approaches such as using densely-sampled data to produce individual-derived network parcellations. A transition towards precision neuroscience will provide new avenues in the characterization of functional brain organization across development and within clinical populations.

Emotion regulation strategy usage explains links between institutional caregiving and elevated internalizing symptoms.

Early adversity, including institutional orphanage care, is associated with the development of internalizing disorders. Previous research suggests that institutionalization can disrupt emotion regulation processes, which contribute to internalizing symptoms. However, no prior work has investigated how early orphanage care shapes emotion regulation strategy usage (e.g., cognitive reappraisal, expressive suppression) and whether the said strategy usage contributes to internalizing symptoms. This study probed emotion regulation strategy usage and internalizing symptoms in a sample of 36 previously institutionalized and 58 comparison youth. As hypothesized, previously institutionalized youth exhibited higher rates of internalizing symptoms than comparison youth, and more frequent use of suppression partially accounted for the relationship between early institutional care and elevated internalizing symptoms. Contrary to our initial hypotheses, reappraisal use did not buffer previously institutionalized or comparison youth against internalizing symptoms. Our findings highlight the potential utility of targeting emotion regulation strategy usage in adversity-exposed youth in future intervention work.

Examining a new prosocial risk-taking scale in a longitudinal sample of ethnically diverse adolescents.

INTRODUCTION: This longitudinal study designed and tested the validity of a new measure of prosocial risk taking - risks that individuals take in order to help others. METHODS: The sample was racially and ethnically diverse adolescents in the rural Southeastern United States (N = 867; Mage = 12.82 years, 10-14 years at Wave 1; 50% Girls, 33% White non-Latinx, 27% Latinx, 20% Black, 20% Mixed/Other race/ethnicity). Adolescents completed self-report measures of the new prosocial risk-taking scale at baseline and one- and two-year follow-ups. RESULTS: Confirmatory factor analysis demonstrated excellent model fit with a 6-item single factor score. Further, the scale demonstrated good test-retest reliability at one and two-year follow ups. The scale also demonstrated convergent validity, such that prosocial risk taking was positively correlated with prosocial tendencies, empathy, and sensation seeking, and negatively correlated with negative risk-taking behavior and risk tolerance. Finally, we found significant differences by race/ethnicity (but not by gender) in prosocial risk taking, which were not attributable to measurement invariance, and should be interpreted in the context of ongoing societal inequalities between youth. CONCLUSIONS: The new Prosocial Risk-Taking Scale yielded reliable scores in our sample. It may be used in future research to investigate individual differences in adolescents' prosocial risk taking, developmental change in prosocial risk taking, and the significance of prosocial risk taking for adolescents' emotional and social adaptation.

Daily Links Between Helping Behaviors and Emotional Well-Being During Late Adolescence.

We investigated daily associations between helping behaviors and emotional well-being during late adolescence, examining whether these links depend on the recipient of help (i.e., friend vs. roommate), type of help (i.e., instrumental vs. emotional), and individual differences in the helper (i.e., gender and empathy). First-year college students (N = 411, 63.5% women, Mage  = 18.62 years) completed diary checklists for eight days, reporting whether they provided instrumental and emotional support to a friend or roommate, and positive and negative emotions. On days that adolescents provided instrumental assistance to friends they felt more positive affect, but men also felt more negative affect. Providing instrumental and emotional support to roommates and providing emotional support to friends did not predict daily emotions.

Multivoxel Pattern Analysis Reveals a Neural Phenotype for Trust Bias in Adolescents.

The extent to which individuals are inclined to judge unfamiliar others as trustworthy can have important implications for social functioning. Using multivariate pattern analysis, a neural phenotype of trust bias was identified in 48 human adolescents (ages 14-18 years, 26 female). Adolescents who exhibited more similar brain response to faces at the extremes of a trustworthy gradient were more likely to rate neutral faces as trustworthy. This relation between neural pattern representation and trust bias was evinced in the amygdala. Amygdala-insula connectivity dissimilarity to faces at the extremes of the trustworthy gradient was associated with greater trust bias to neutral faces, serving as a distinct circuit-level contributor to decision-making over and above of amygdala pattern similarity. These findings aid understanding of neural mechanisms contributing to individual differences in social evaluations of ambiguity.

Links between adolescent bullying and neural activation to viewing social exclusion.

Neuroscientists who have studied bullying have primarily focused on the psychopathology of diagnosable offenders or the resulting symptomatology of victimization. Less attention has been given to theories that suggest that bullying may be an interpersonal strategy. In an exploratory study, we recruited a sample of adolescents (N = 24) who engaged in high rates of delinquent behavior and collected self-report ratings of bullying behaviors. During an fMRI scan, adolescents observed instances of social exclusion and social inclusion. The adolescents' self-reported bullying was associated with greater ventral striatum, amygdala, medial prefrontal cortex, and insula activation when viewing social exclusion > social inclusion. Activation in these regions is commonly associated with reward-learning, salience monitoring, and motivational processes, suggesting that bullies show altered processing of interpersonal cues and social dynamic experiences in their environment. Our findings highlight the need for developmental neuroscientists to further explore the role of social motivation in processing socio-affective information, with a particular focus on goal-directed antisocial behavior.

Parents Versus Peers: Assessing the Impact of Social Agents on Decision Making in Young Adults.

Young adulthood is a developmental phase when individuals must navigate a changing social milieu that involves considering how their decisions affect close others such as parents and peers. To date, no empirical work has directly evaluated how young adults weigh these relationships against one another. We conducted a preregistered experiment in which we pitted outcomes for parents against outcomes for friends. Participants ( N = 174, ages 18-30 years) played two runs of the Columbia Card Task-one in which gains benefited a parent and losses were incurred by a friend and another in which the opposite was true. We also tested whether age, relationship quality, and reward type earned for parents and friends (simulated vs. real) acted as moderating influences on parent-friend prioritization. Results showed that individuals were more likely to make decisions that benefited a parent at the expense of a friend. Relationship quality and reward type moderated this effect, whereas age did not.

Family conflict is associated with longitudinal changes in insular-striatal functional connectivity during adolescent risk taking under maternal influence.

Maternal presence has marked effects on adolescent neurocognition during risk taking, influencing teenagers to make safer decisions. However, it is currently unknown whether maternal buffering changes over the course of adolescence itself, and whether its effects are robust to individual differences in family relationship quality. In the current longitudinal study, 23 adolescents completed a risk-taking task under maternal presence during an fMRI scan before and after the transition to high school. Behavioral results reveal that adolescent risk taking increased under maternal presence across a one-year period. At the neural level, we found that adolescents reporting higher family conflict showed longitudinal increases in functional coupling between the anterior insula (AI) and ventral striatum (VS) when making safe decisions in the presence of their mother, which was associated with increased real-world risk taking. These findings show that individual differences in family relationship quality undermine effective development of AI-VS connectivity resulting in increased risk taking.

Family conflict shapes how adolescents take risks when their family is affected.

Numerous studies have established that the social context greatly affects adolescent risk taking. However, it remains unexplored whether adolescents' decision-making behaviors change when they take risks that affect other individuals such as a parent. In the current study, we sought to investigate how the social context influences risky decisions when adolescents' behavior affects their family using a formalized risk-taking model. Sixty-three early adolescents (Mage = 13.3 years; 51% female) played a risk-taking task twice, once during which they could make risky choices that only affected themselves and another during which their risky choices only affected their parent. Results showed that adolescents reporting high family conflict made more risky decisions when taking risks for their parent compared to themselves, whereas adolescents reporting low family conflict made fewer risky decisions when taking risks for their parent compared to themselves. These findings are the first to show that adolescents change their decision-making behaviors when their risks affect their family and have important implications for current theories of adolescent risk taking.

Mother still knows best: Maternal influence uniquely modulates adolescent reward sensitivity during risk taking.

Adolescent decision-making is highly sensitive to input from the social environment. In particular, adult and maternal presence influence adolescents to make safer decisions when encountered with risky scenarios. However, it is currently unknown whether maternal presence confers a greater advantage than mere adult presence in buffering adolescent risk taking. In the current study, 23 adolescents completed a risk-taking task during an fMRI scan in the presence of their mother and an unknown adult. Results reveal that maternal presence elicits greater activation in reward-related neural circuits when making safe decisions but decreased activation following risky choices. Moreover, adolescents evidenced a more immature neural phenotype when making risky choices in the presence of an adult compared to mother, as evidenced by positive functional coupling between the ventral striatum and medial prefrontal cortex. Our results underscore the importance of maternal stimuli in bolstering adolescent decision-making in risky scenarios.

Relationship Quality Buffers Association Between Co-rumination and Depressive Symptoms Among First Year College Students.

Co-rumination, the tendency to dwell on negative events and feelings with a relationship partner, is an aspect of relationships that has been associated with socioemotional adjustment tradeoffs and is found to be associated with depressive symptoms. However, depending on the context in which it occurs, co-rumination is not necessarily associated with detriments to mental well-being. Differences in relationship quality within certain relationships may explain why co-rumination is not always associated with depressive symptoms. In the current study, we utilized self-report measures in an ethnically diverse sample (53.5 % non-White) of 307 first term college students (65 % female) in order to elucidate how co-rumination between roommates may be associated with depressive symptoms. We found that the association between co-rumination and depressive symptoms was moderated by relationship quality such that co-rumination in a high quality relationship was not associated with depressive symptoms whereas the opposite was true in low quality relationships. Moreover, we found moderated mediation, such that the variance in the association between co-rumination and depressive symptoms was explained via self-esteem, but only for those co-ruminating within a low quality relationship. These results suggest that relationship quality may impact the extent to which co-rumination is associated with depressive symptoms among first year college students.

Changes in family cohesion and links to depression during the college transition.

Parent relationships remain an important component in the lives of adolescents, with particular respect to their well-being. In the current study, we sought to understand how changes in family cohesion across the high school-college transition may be related to changes in depressive symptoms. Three hundred and thirty-eight college freshman completed self-report measures prior to attending college and again two months into their first semester. Although depressive symptoms significantly increased, adolescents who reported increases in family cohesion reported declines in depressive symptoms during the college transition. Furthermore, this effect was mediated by changes in self-esteem and optimism. Finally, we show unique associations for male and female adolescents, such that changes in family cohesion were only related to changes in depression for girls. Results suggest that parent relationships may buffer against increased depressive symptoms during this important transition period.

A behavioral signature for quantifying the social value of interpersonal relationships with specific others.

The idea that individuals ascribe value to social phenomena, broadly construed, is well-established. Despite the ubiquity of this concept, defining social value in the context of interpersonal relationships remains elusive. This is notable because while prominent theories of human social behavior acknowledge the role of value-based processes, they mostly emphasize the value of individual actions an agent may choose to take in a given environment. Comparatively little is known about how humans value their interpersonal relationships. To address this, we devised a method for engineering a behavioral signature of social value in several independent samples (total N = 1111). Incorporating the concept of opportunity cost from economics and data-driven quantitative methods, we derived this signature by sourcing and weighting a range of social behaviors based on how likely individuals are to prioritize them in the face of limited resources. We examined how strongly the signature was expressed in self-reported social behaviors with specific relationship partners (a parent, close friend, and acquaintance). Social value scores track with other aspects of these relationships (e.g., relationship quality, aversion to losing relationship partners), are predictive of decision preferences on a range of tasks, and display good psychometric properties. These results provide greater mechanistic specificity in delineating human value-based behavior in social contexts and help parse the motivational relevance of the different facets that comprise interpersonal relationships.

A data-driven typology of emotion regulation profiles.

Typologies serve to organize knowledge and advance theory for many scientific disciplines, including more recently in the social and behavioral sciences. To date, however, no typology exists to categorize an individual's use of emotion regulation strategies. This is surprising given that emotion regulation skills are used daily and that deficits in this area are robustly linked with mental health symptoms. Here, we attempted to identify and validate a working typology of emotion regulation across six samples (collectively comprised of 1,492 participants from multiple populations) by using a combination of computational techniques, psychometric models, and growth curve modeling. We uncovered evidence for three types of regulators: a type that infrequently uses emotion regulation strategies (Lo), a type that uses them frequently but indiscriminately (Hi), and a third type that selectively uses some (cognitive reappraisal and situation selection), but not other (expressive suppression), emotion regulation strategies frequently (Mix). Results showed that membership in the Hi and Mix types is associated with better mental health, with the Mix type being the most adaptive of the three. These differences were stable over time and across different samples. These results carry important implications for both our basic understanding of emotion regulation behavior and for informing future interventions aimed at improving mental health. (PsycInfo Database Record (c) 2024 APA, all rights reserved).