Principles, policies, and practices: Thoughts on their integration over the rise of the developmental psychopathology perspective and into the future.

Developmental psychopathology has, since the late 20th century, offered an influential integrative framework for conceptualizing psychological health, distress, and dysfunction across the lifespan. Leaders in the field have periodically generated predictions about its future and have proposed ways to increase the macroparadigm's impact. In this paper, we examine, using articles sampled from each decade of the journal Development and Psychopathology's existence as a rough guide, the degree to which the themes that earlier predictions have emphasized have come to fruition and the ways in which the field might further capitalize on the strengths of this approach to advance knowledge and practice in psychology. We focus in particular on two key themes first, we explore the degree to which researchers have capitalized on the framework's capacity for principled flexibility to generate novel work that integrates neurobiological and/or social-contextual factors measured at multiple levels and offer ideas for moving this kind of work forward. Second, we discuss how extensively articles have emphasized implications for intervention or prevention and how the field might amplify the voice of developmental psychopathology in applied settings.

Distinct latent symptom profiles in late-onset depressive symptoms in community-dwelling older adults.

OBJECTIVES: To examine the symptom profiles of late-onset depressive symptoms in a sample of older adults. METHOD: The sample included 1,192 participants from the National Alzheimer's Coordinating Center Data Set. Participants were ≥65 years old, community-dwelling, and without cognitive impairment or a prior history of depression. Depressive symptoms were assessed using the Geriatric Depression Scale, 15-item (GDS-15). Latent class analysis (LCA) was used to identify and group participants based on profiles of depressive symptoms. RESULTS: LCA revealed three distinct symptom profiles: (1) an Anhedonia/Amotivation profile with a higher probability of endorsing a combination of low positive emotion and amotivation (6%), (2) an Amotivation/Withdrawal profile with a high probability of endorsing only amotivational depressive symptoms (35%), and (3) an asymptomatic profile with no probability of endorsing any depressive symptoms (59%). Amotivational depressive symptoms were observed across both symptomatic profiles, while depressed mood (e.g. sadness) did not predominantly characterize any profile in this sample. There were also significant differences among symptom profiles in terms of demographic and clinical characteristics. CONCLUSIONS: Findings highlight the importance of understanding depression at the symptom pattern level. A profile-based diagnostic approach may help improve the recognition of depressive symptoms in older adults.

Cognitive Predictors of Parental Rescue Behavior and Malleability of Behavior Using a Brief Psychoeducation Intervention.

Cognitive factors, such as beliefs that anxiety is harmful, may lead parents to engage excessively in over-controlling parenting practices, such as "rescuing" children from distress. The present study examined whether parental rescue behavior, or the speed at which parents intervened to rescue an increasingly distressed child during an audio paradigm, was associated with beliefs about child anxiety. We also evaluated the impact of psychoeducation on rescue behavior during the audio paradigm. A nonclinical sample of 310 parents was recruited from an online crowdsourcing platform. Findings support the hypothesis that parents' stronger beliefs that anxiety is harmful relate to parents' faster speed of rescue. Additionally, participants who received psychoeducation delayed their rescue responses more than did participants who received benign information. Findings add to the growing body of evidence that cognitive factors contribute to countertherapeutic parent behavior and indicate that psychoeducation can be an important component of family-based child anxiety treatment.

Empathy as a "risky strength": a multilevel examination of empathy and risk for internalizing disorders.

Learning to respond to others' distress with well-regulated empathy is an important developmental task linked to positive health outcomes and moral achievements. However, this important interpersonal skill set may also confer risk for depression and anxiety when present at extreme levels and in combination with certain individual characteristics or within particular contexts. The purpose of this review is to describe an empirically grounded theoretical rationale for the hypothesis that empathic tendencies can be "risky strengths." We propose a model in which typical development of affective and cognitive empathy can be influenced by complex interplay among intraindividual and interindividual moderators that increase risk for empathic personal distress and excessive interpersonal guilt. These intermediate states in turn precipitate internalizing problems that map onto empirically derived fear/arousal and anhedonia/misery subfactors of internalizing disorders. The intraindividual moderators include a genetically influenced propensity toward physiological hyperarousal, which is proposed to interact with genetic propensity to empathic sensitivity to contribute to neurobiological processes that underlie personal distress responses to others' pain or unhappiness. This empathic personal distress then increases risk for internalizing problems, particularly fear/arousal symptoms. In a similar fashion, interactions between genetic propensities toward negative thinking processes and empathic sensitivity are hypothesized to contribute to excess interpersonal guilt in response to others' distress. This interpersonal guilt then increases the risk for internalizing problems, especially anhedonia/misery symptoms. Interindividual moderators, such as maladaptive parenting or chronic exposure to parents' negative affect, further interact with these genetic liabilities to amplify risk for personal distress and interpersonal guilt as well as for consequent internalizing problems. Age-related increases in the heritability of depression, anxiety, and empathy-related constructs are consistent with developmental shifts toward greater influence of intraindividual moderators throughout childhood and adolescence, with interindividual moderators exerting their greatest influence during early childhood. Efforts to modulate neurobiological and behavioral expressions of genetic dysregulation liabilities and to promote adaptive empathic skills must thus begin early in development.

A deep learning approach for mental health quality prediction using functional network connectivity and assessment data.

While one can characterize mental health using questionnaires, such tools do not provide direct insight into the underlying biology. By linking approaches that visualize brain activity to questionnaires in the context of individualized prediction, we can gain new insights into the biology and behavioral aspects of brain health. Resting-state fMRI (rs-fMRI) can be used to identify biomarkers of these conditions and study patterns of abnormal connectivity. In this work, we estimate mental health quality for individual participants using static functional network connectivity (sFNC) data from rs-fMRI. The deep learning model uses the sFNC data as input to predict four categories of mental health quality and visualize the neural patterns indicative of each group. We used guided gradient class activation maps (guided Grad-CAM) to identify the most discriminative sFNC patterns. The effectiveness of this model was validated using the UK Biobank dataset, in which we showed that our approach outperformed four alternative models by 4-18% accuracy. The proposed model's performance evaluation yielded a classification accuracy of 76%, 78%, 88%, and 98% for the excellent, good, fair, and poor mental health categories, with poor mental health accuracy being the highest. The findings show distinct sFNC patterns across each group. The patterns associated with excellent mental health consist of the cerebellar-subcortical regions, whereas the most prominent areas in the poor mental health category are in the sensorimotor and visual domains. Thus the combination of rs-fMRI and deep learning opens a promising path for developing a comprehensive framework to evaluate and measure mental health. Moreover, this approach had the potential to guide the development of personalized interventions and enable the monitoring of treatment response. Overall this highlights the crucial role of advanced imaging modalities and deep learning algorithms in advancing our understanding and management of mental health.

Paranoid thinking, suspicion, and risk for aggression: a neurodevelopmental perspective.

This article represents an effort to extend our understanding of paranoia or suspicion and its development by integrating findings across clinical, developmental, and neuroscience literatures. We first define "paranoia" or paranoid thought and examine its prevalence across typically and atypically developing individuals and theoretical perspectives regarding its development and maintenance. We then briefly summarize current ideas regarding the neural correlates of adaptive, appropriately trusting interpersonal perception, social cognition, and behavior across development. Our focus shifts subsequently to examining in normative and atypical developmental contexts the neural correlates of several component cognitive processes thought to contribute to paranoid thinking: (a) attention bias for threat, (b) jumping to conclusions biases, and (c) hostile intent attribution biases. Where possible, we also present data regarding independent links between these cognitive processes and aggressive behavior. By examining data regarding the behavioral and neural correlates of varied cognitive processes that are likely components of a paranoid thinking style, we hope to advance both theoretical and empirical research in this domain.

A pilot study of attention bias subtypes: examining their relation to cognitive bias and their change following cognitive behavioral therapy.

OBJECTIVE: The present investigation examined (a) whether a clinical sample of individuals with social anxiety disorder (SAD) comprises two distinct groups based on attention bias for social threat (vigilant, avoidant), (b) the relation between attention bias and cognitive bias, specifically estimates of the probability that negative social events will occur (probability bias), and (c) specific changes in attention bias following cognitive behavioral therapy for social anxiety. METHOD: Participants were 24 individuals (nfemale = 7, nmale = 17; mage = 41) who met diagnostic criteria for SAD and sought treatment for fear of public speaking. Hypotheses were tested using t tests, linear regression analyses, and a mixed design analysis of variance. RESULTS: Results yielded evidence of 2 pretreatment groups (vigilant and avoidant). There was a significant positive correlation between vigilance for (but not avoidance of) threat and probability bias (R = .561, p < .05). After 8 weeks of treatment, the direction of change in attention bias differed between groups, such that the vigilant group became less vigilant and the avoidant group became less avoidant, with the avoidant group showing a significant change in attention bias from pretreatment to posttreatment. CONCLUSIONS: These findings provide very preliminary support for the idea that individuals with SAD may differ according to type attention bias, avoidant or vigilant, as these biases changed in different ways following cognitive-behavioral therapy for SAD. Further research is needed to replicate and extend these findings in order to evaluate whether SAD comprises subgroups of attentional biases.

Father locus of control and child emotional and behavioral outcomes: a prospective study.

In a prospective longitudinal study the authors examined the associations between parent locus of control of reinforcement (LOCR), measured before the birth of a child, and behavioral-emotional outcomes in that child at age 7 years. A total of 307 couples completed questionnaires regarding their emotional status and LOCR at their first prenatal care appointment. When their children turned 7 years old, teachers completed questionnaires regarding each participating child's behavior. Findings indicate significant associations between fathers' prenatal LOCR and child outcomes, particularly hyperactivity in sons. Hyperactivity and behavioral-emotional problems in girls, in contrast, were better predicted by maternal prenatal emotional distress. Results provide evidence that paternal and maternal characteristics that predate the birth of a child relate to later behavioral outcomes in that child. Implications for prevention of child psychopathology are discussed.

Sex differences in social communication behaviors in toddlers with suspected autism spectrum disorder as assessed by the ADOS-2 toddler module.

LAY ABSTRACT: When toddlers are suspected of autism spectrum disorder (ASD), the gold-standard assessment technique is with the Autism Diagnostic Observation Schedule, 2nd edition (ADOS-2) Toddler Module, a behavioral observation system. ASD is a neurodevelopmental condition more frequently diagnosed in toddler boys than in toddler girls. There is some evidence that the ADOS-2 assesses behaviors that are more characteristic of boys with ASD than girls. Thus, it is possible that focusing on these behaviors contributes at least in part to why more boys are diagnosed than girls. Specifically, girls may show more social skills than boys during the ADOS-2 assessment due to their socialization histories, which may lead to missed diagnoses of ASD in toddler girls. The current study examined eight social behaviors assessed by the ADOS-2 in a sample of toddlers with suspected ASD to see if they contributed differently to the total score of those items. Examination of those items suggested that those social communication behaviors work the same for boys and girls with suspected ASD, which was inconsistent with hypotheses. However, examination of particular items raises the possibility of examining creative/imaginative play as an area for future research.

Vigilant and avoidant attention biases as predictors of response to cognitive behavioral therapy for social phobia.

BACKGROUND: Attention bias for socially threatening information, an empirically supported phenomenon, figures prominently in models of social phobia. However, all published studies examining this topic to date have relied on group means to describe attention bias patterns; research has yet to examine potential subgroups of attention bias among individuals with social phobia (e.g., vigilant or avoidant). Furthermore, almost no research has examined how attention biases in either direction may predict change in symptoms as a result of treatment. METHODS: This study (N = 24) compared responses to cognitive behavioral therapy (CBT) for social phobia between individuals with avoidant and vigilant biases for threatening faces at pretreatment. RESULTS: Participants with avoidant biases reported significantly and clinically higher symptom levels at posttreatment than did those with vigilant biases. CONCLUSIONS: These findings suggest that an avoidant attention bias may be associated with reduced response to CBT for social phobia.

Associations among perceptual anomalies, social anxiety, and paranoia in a college student sample.

Recent evidence suggests that normal-range paranoid ideation may be particularly likely to develop in individuals disposed to both social anxiety and perceptual anomalies. This study was designed to test the hypothesis that among college students in an unselected sample, social anxiety and experience of perceptual anomalies would not only each independently predict the experience of self-reported paranoid ideation, but would also interact to predict paranoid patterns of thought. A diverse sample of 644 students completed a large battery of self-report measures, as well as the five-factor Paranoia/Suspiciousness Questionnaire (PSQ). We conducted hierarchical multiple regression analyses predicting scores on each PSQ factor from responses on measures of social anxiety, perceptual aberration, and the interaction between the two constructs. Current general negative affect was covaried in all analyses. We found that both social anxiety and perceptual aberrations, along with negative affect, predicted multiple dimensions of paranoia as measured by the PSQ; the two constructs did not, however, interact significantly to predict any dimensions. Our findings suggest that perceptual aberration and anxiety may contribute to normal-range paranoid ideation in an additive rather than an interactive manner.

A systematic review and meta-analysis of the association between expressive suppression and positive affect.

People differ in their self-reported propensities to experience positive affect (PA). Even those prone to internalizing symptoms show varied proclivities to PA; social anxiety (SA), for instance, unlike other types of anxiety, shows a strong negative association with PA that cannot be explained by diminished reward sensitivity. Heightened reliance on suppression of emotional displays (expressive suppression; ES) may be an alternate contributor to attenuated PA among people with elevated SA, relative to people with other types of anxiety. A first step toward testing this hypothesis is clarifying the ES-PA association and examining whether it varies as a function of anxiety type (social anxiety vs. other types of anxiety). This meta-analysis (k = 41; n = 11,010) revealed a significant, negative association between ES and PA (r = -0.158); however, this relationship was not significant for individuals with social or other anxiety disorders. Moreover, two moderators (sample culture-Western: r = -0.16; Eastern: r = 0.003; type of emotion suppressed-Negative: r = 0.18; Positive: r = -0.12) accounted for significant heterogeneity in effect sizes. This review synthesizes the literature on ES and PA in healthy and anxious samples; findings suggest moderating variables merit closer attention in future studies.

Higher Social Anxiety Severity Predicts Better Cognitive Empathy Performance in Women but Not Men.

Findings regarding relationships between social anxiety and subtypes of empathy have been mixed, and one study suggested that this may be due to moderation by biological sex. The present study examined whether accounting for general anxiety and biological sex clarifies these relationships. Undergraduates (N = 701, 76% female) completed online self-report measures of cognitive and affective empathy, social and general anxiety severity, and a behavioral measure of cognitive empathy (Reading the Mind in the Eyes Task; MIE). Path analysis examined relationships among social and general anxiety severity and affective and cognitive empathy. Model modification indices showed a significant influence of sex on the path from social anxiety severity to MIE accuracy. When the model was re-estimated with this path freed, more socially anxious women, but not men, showed greater MIE accuracy. Across both sexes, general anxiety severity related negatively to self-reported and behavioral (MIE) cognitive empathy. Affective empathy did not relate to either type of anxiety. The use of path analysis to simultaneously account for overlapping variance among measures of anxiety and empathy helps clarify earlier mixed findings on relationships between social anxiety and empathy subtypes.

Human social defeat and approach-avoidance: Escalating social-evaluative threat and threat of aggression increases social avoidance.

Basic research on avoidance by Murray Sidman laid the foundation for advances in the classification, conceptualization and treatment of avoidance in psychological disorders. Contemporary avoidance research is explicitly translational and increasingly focused on how competing appetitive and aversive contingencies influence avoidance. In this laboratory investigation, we examined the effects of escalating social-evaluative threat and threat of social aggression on avoidance of social interactions. During social-defeat learning, 38 adults learned to associate 9 virtual peers with an increasing probability of receiving negative evaluations. Additionally, 1 virtual peer was associated with positive evaluations. Next, in an approach-avoidance task with social-evaluative threat, 1 peer associated with negative evaluations was presented alongside the peer associated with positive evaluations. Approaching peers produced a positive or a probabilistic negative evaluation, while avoiding peers prevented a negative evaluation (and forfeited a positive evaluation). In an approach-avoidance task with social aggression, virtual peers gave and took money away from participants. Escalating social-evaluative threat and aggression increased avoidance, ratings of feeling threatened and threat expectancy and decreased ratings of peer favorableness. These findings underscore the potential of coupling social defeat and approach-avoidance paradigms for translational research on the neurobehavioral mechanisms of social approach-avoidance decision-making and anxiety.

The role of negative affect in the association between attention bias to threat and posttraumatic stress: An eye-tracking study.

Biased processing of threatening stimuli, including attention toward and away from threat, has been implicated in the development and maintenance of PTSD symptoms. Research examining theoretically-derived mechanisms through which dysregulated processing of threat may be associated with PTSD is scarce. Negative affect, a transdiagnostic risk factor for many types of psychopathology, is one potential mechanism that has yet to be examined. Thus, the present study (n = 92) tested the indirect effect of attention bias on PTSD via negative affect using rigorous eye-tracking methodology in a sample of urban-dwelling, trauma-exposed African-American women. We found support for the hypothesis that attention bias toward threat was indirectly associated with PTSD symptoms through increased negative affect. These results suggest that negative affect may be an important etiological process through which attention bias patterns could impact PTSD symptom severity. Implications for psychological and pharmacological therapeutic interventions targeting threat-related attention biases and negative affect are discussed.

Renewal of fear and avoidance in humans to escalating threat: Implications for translational research on anxiety disorders.

Exposure-based treatment for threat avoidance in anxiety disorders often results in fear renewal. However, little is known about renewal of avoidance. This multimodal laboratory-based treatment study used an ABA renewal design and an approach-avoidance (AP-AV) task to examine renewal of fear/threat and avoidance in twenty adults. In Context A, 9 visual cues paired with increases in probabilistic money loss (escalating threats) produced increases in ratings of feeling threatened and loss expectancies and skin-conductance responses (SCR). During the AP-AV task, a monetary reinforcer was available concurrently with threats. Approach produced the reinforcer or probabilistic loss, while avoidance prevented loss and forfeited reinforcement. Escalating threat produced increasing avoidance and ratings. In Context B with Pavlovian extinction, threats signaled no money loss and SCR declined. During the AP-AV task, avoidance and ratings also declined. In a return to Context A with Pavlovian threat extinction in effect during the AP-AV task, renewal was observed. Escalating threat was associated with increasing ratings and avoidance in most participants. SCR did not show renewal. These are the first translational findings to highlight renewal of avoidance in humans. Further research should identify individual difference variables and altered neural mechanisms that may confer increased risk of avoidance renewal.

Amygdala volume and social anxiety symptom severity: Does segmentation technique matter?

The amygdala factors prominently in neurobiological models of social anxiety (SA), yet amygdala volume findings regarding SA have been inconsistent and largely focused on case-control characterization. One source of discrepant findings could be variability in volumetric techniques. Therefore, we compared amygdala volumes derived via an automated technique (Freesurfer) against a manually corrected approach, also involving Freesurfer. Additionally, we tested whether the relationship between volume and SA symptom severity would differ across volumetric techniques. We pooled participants (n = 76) from archival studies. SA severity was assessed with the Liebowitz Social Anxiety Scale; scores ranged from non-clinical to clinical levels. Freesurfer produced significantly larger amygdalar volumes for participants with poor image quality. Even after excluding such participants, paired sample t-tests showed Freesurfer's boundaries produced significantly larger amygdalar volumes than manually corrected ones, bilaterally. Yet, intra-class correlation coefficients between the two methods were high, which suggests that Freesurfer's over-estimation of amygdala volume was systemic. Regardless of segmentation technique, volumes were not associated with SA symptom severity. Potentially, amygdala sub-regions may yield clearer patterns regarding SA symptoms. Further, our study underscores the importance of image quality for segmentation of the amygdala, and image quality may be particularly valuable when examining anatomical data for subtle inter-individual differences.

Attention bias towards threat in African American children exposed to early life trauma.

BACKGROUND: Attentional bias is linked to a range of mood disorders, including posttraumatic stress disorder (PTSD). The present study examined attention bias patterns in African American children exposed to trauma, in order to better understand potential risk factors for PTSD. METHODS: 31 children (ages 8-14) completed an eye-tracking task to assess gaze bias patterns while viewing pairs of emotional and neutral faces. Trauma exposure and PTSD symptoms were assessed in a subsample of children (n = 24). RESULTS: Repeated measures analysis of variance (ANOVA) results examining attention bias indices and gender showed greater attention bias toward angry faces than happy faces (p < 0.01) and toward emotional faces in males than females (p < 0.05). Correlational analyses showed attention bias toward angry faces was associated with greater levels of child trauma exposure (p < 0.05). Based on linear regression analysis, child trauma exposure accounted for 17 % of variance in attention bias toward angry versus neutral faces independent of gender or posttraumatic stress symptoms (p < 0.05). CONCLUSIONS: Trauma exposure in children is related to altered attention bias, via enhanced attention towards threatening cues. Results contribute to evidence that males and females may exhibit different attentional patterns. This study highlights the importance of additional research on attention bias patterns and prospective mental health outcomes across gender and through development.

Probing the neural correlates of anticipated peer evaluation in adolescence.

Neural correlates of social-cognition were assessed in 9- to- 17-year-olds (N = 34) using functional magnetic resonance imaging. Participants appraised how unfamiliar peers they had previously identified as being of high or low interest would evaluate them for an anticipated online chat session. Differential age- and sex-related activation patterns emerged in several regions previously implicated in affective processing. These included the ventral striatum, hippocampus, hypothalamus, and insula. In general, activation patterns shifted with age in older relative to younger females but showed no association with age in males. Relating these neural response patterns to changes in adolescent social-cognition enriches theories of adolescent social development through enhanced neurobiological understanding of social behavior.