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Background Psychiatric diagnosis and treatment have historically taken a symptom-based approach, with less attention on identifying underlying symptom-producing mechanisms. Recent efforts have illuminated the extent to which different underlying circuitry can produce phenotypically similar symptomatology (e.g., psychosis in bipolar disorder vs. schizophrenia). Computational modeling makes it possible to identify and mathematically differentiate behaviorally unobservable, specific reinforcement learning differences in patients with schizophrenia versus other disorders, likely owing to a higher reliance on prediction error–driven learning associated with basal ganglia and underreliance on explicit value representations associated with orbitofrontal cortex. Methods We used a well-established probabilistic reinforcement learning task to replicate those findings in individuals with schizophrenia both on (n = 120) and off (n = 44) antipsychotic medications and included a patient comparison group of bipolar patients with psychosis (n = 60) and healthy control subjects (n = 72). Results Using accuracy, there was a main effect of group (F3,279 = 7.87, p Conclusions Both medicated and unmedicated patients showed overreliance on prediction error–driven learning as well as significantly higher noise and value-related memory decay, compared with the healthy control subjects and the patients with bipolar disorder. Additionally, the computational model parameters capturing these processes can significantly improve patient/control classification, potentially providing useful diagnosis insight.

Background The experimental therapeutics approach that combines a placebo-controlled clinical trial with translational neuroscience methods can provide a better understanding of both the clinical and physiological effects of pharmacotherapy. We aimed to test the efficacy and tolerability of low-dose augmentation with buprenorphine (BPN) for treatment resistant depression, combined with multi-modal assessment of target engagement. Methods In this multi-site, randomized clinical trial, 85 participants ≥ age 50 with a major depressive episode that had not responded to venlafaxine XR were randomized to augmentation with BPN or placebo for 8 weeks. The primary outcome measure was the Montgomery-Asberg Depression Rating Scale (MADRS). In addition, three linked experiments were conducted to test target engagement: 1) functional magnetic resonance imaging (fMRI) using the Monetary Incentive Delay Task; 2) brain positron emission tomography (PET) of healthy participants using a novel kappa opioid receptor (κ-OR) antagonist tracer [11C]LY2795050; 3) transcranial magnetic stimulation (TMS) measure of cortical transmission after daily BPN administration. Results The mean ± SD dosage of BPN was 0.59±0.33 mg/day. There were no significant differences between the BPN and placebo groups in MADRS changes over time or adverse effects. BPN administration had minimal effects on fMRI bold responses in regions involved in reward anticipation and response, no significant displacement of κ-OR radioligand in PET imaging, and no significant changes in TMS measures of inhibitory and excitatory cortical transmission. Conclusions Our findings suggest a lack of clinical effect of low-dose BPN augmentation and lack of target engagement with this dosage and physiological probes.

Early low socioeconomic status (SES) is associated with poor outcomes in childhood, many of which endure into adulthood. It is critical to determine how early low SES relates to trajectories of brain development and whether these mediate relationships to poor outcomes. We use data from a unique 17-year longitudinal study with five waves of structural brain imaging to prospectively examine relationships between preschool SES and cognitive, social, academic, and psychiatric outcomes in early adulthood.Children (n = 216, 50% female, 47.2% non-White) were recruited from a study of early onset depression and followed approximately annually. Family income-to-needs ratios (SES) were assessed when children were ages 3 to 5 years. Volumes of cortical gray and white matter and subcortical gray matter collected across five scan waves were processed using the FreeSurfer Longitudinal pipeline. When youth were ages 16+ years, cognitive function was assessed using the NIH Toolbox, and psychiatric diagnoses, high-risk behaviors, educational function, and social function were assessed using clinician administered and parent/youth report measures.Lower preschool SES related to worse cognitive, high-risk, educational, and social outcomes (|standardized B| = 0.20-0.31, p values.003). Lower SES was associated with overall lower cortical (standardized B = 0.12, p.0001) and subcortical gray matter (standardized B = 0.17, p.0001) volumes, as well as a shallower slope of subcortical gray matter growth over time (standardized B = 0.04, p = .012). Subcortical gray matter mediated the relationship of preschool SES to cognition and high-risk behaviors.These novel longitudinal data underscore the key role of brain development in understanding the long-lasting relations of early low SES to outcomes in children.

BackgroundChildhood psychotic-like experiences (PLEs) often precede the development of later severe psychopathology. This study examined whether childhood PLEs are associated with several psychopathology-related polygenic scores (PGSs) and additionally examined possible neural and behavioral mechanisms.MethodsAdolescent Brain Cognitive Development Study baseline data from children with European ancestry (n= 4650, ages 9-10 years, 46.8% female) were used to estimate associations between PLEs (i.e., both total and presence of significantly distressing) and PGSs for psychopathology (i.e., schizophrenia, psychiatric cross-disorder risk, PLEs) and related phenotypes (i.e., educational attainment [EDU], birth weight, inflammation). We also assessed whether variability in brain structure indices (i.e., volume, cortical thickness, surface area) and behaviors proximal to PGSs (e.g., cognition for EDU) indirectly linked PGSs to PLEs using mediational models.ResultsTotal and significantly distressing PLEs were associated with EDU and cross-disorder PGSs (all %ΔR2s= 0.202%-0.660%; false discovery rate-corrected ps < .006). Significantly distressing PLEs were also associated with higher schizophrenia and PLE PGSs (both %ΔR2= 0.120%-0.216%; false discovery rate-corrected ps < .03). There was evidence that global brain volume metrics and cognitive performance indirectly linked EDU PGS to PLEs (estimated proportion mediated= 3.33%-32.22%).ConclusionsTotal and significantly distressing PLEs were associated with genomic risk indices of broad-spectrum psychopathology risk (i.e., EDU and cross-disorder PGSs). Significantly distressing PLEs were also associated with genomic risk for psychosis (i.e., schizophrenia, PLEs). Global brain volume metrics and PGS-proximal behaviors represent promising putative intermediary phenotypes that may indirectly link genomic risk to psychopathology. Broadly, polygenic scores derived from genome-wide association studies of adult samples generalize to indices of psychopathology risk among children.

Childhood psychotic-like experiences (PLEs) are associated with a range of impairments; a subset of children experiencing PLEs will develop psychiatric disorders, including psychotic disorders. A potential distinguishing factor between benign PLEs versus PLEs that are clinically relevant is whether PLEs are distressing and/or persistent. The current study used three waves of Adolescent Brain Cognitive Development℠ (ABCD) study PLEs assessments to examine the extent to which persistent and/or distressing PLEs were associated with relevant baseline risk factors (e.g., cognition) and functioning/mental health service utilization domains. Four groups varying in PLE persistence and distress endorsement were created based on all available data in ABCD Release 3.0, with group membership not contingent on complete data: persistent distressing PLEs (n = 272), transient distressing PLEs (n = 298), persistent non-distressing PLEs (n = 221), and transient non-distressing PLEs (n = 536) groups. Using hierarchical linear models, results indicated youth with distressing PLEs, whether transient or persistent, showed delayed developmental milestones (β = 0.074, 95%CI:0.013,0.134) and altered structural MRI metrics (β = -0.0525, 95%CI:-0.100,-0.005). Importantly, distress interacted with PLEs persistence for the domains of functioning/mental health service utilization (β = 0.079, 95%CI:0.016,0.141), other reported psychopathology (β = 0.101, 95%CI:0.030,0.170), cognition (β = -0.052, 95%CI:0.-0.099,-0.002), and environmental adversity (β = 0.045, 95%CI:0.003,0.0.86; although no family history effects), with the interaction characterized by greatest impairment in the persistent distressing PLEs group. These results have implications for disentangling the importance of distress and persistence for PLEs with regards to impairments, including functional, pathophysiological, and environmental outcomes. These novel longitudinal data underscore that it is often only in the context of distress that persistent PLEs were related to impairments.

BACKGROUND: A better understanding of the extent to which prior occurrences of posttraumatic stress disorder (PTSD) and major depressive episode (MDE) predict psychopathological reactions to subsequent traumas might be useful in targeting post-traumatic preventive interventions. METHODS: Data come from 1,306 patients presenting to 29 U.S. emergency departments (EDs) after a motor vehicle collision (MVC) in the Advancing Understanding of RecOvery afteR traumA (AURORA) study. Patients completed self-reports in the ED and 2-weeks, 8-weeks, and 3-months post-MVC. Associations of pre-MVC probable PTSD and probable MDE histories with subsequent 3-months post-MVC probable PTSD and probable MDE were examined along with mediation through intervening peritraumatic, 2-week, and 8-week disorders. RESULTS: 27.6% of patients had 3-month post-MVC probable PTSD and/or MDE. Pre-MVC lifetime histories of these disorders were not only significant (relative-risk=2.6–7.4) but were dominant (63.1% population attributable risk proportion [PARP]) predictors of this 3-month outcome, with 46.6% prevalence of the outcome among patients with pre-MVC disorder histories versus 9.9% among those without such histories. The associations of pre-MVC lifetime disorders with the 3-month outcome were mediated largely by 2-week and 8-week probable PTSD and MDE (PARP decreasing to 22.8% with controls for these intervening disorders). Decomposition showed that pre-MVC lifetime histories predicted both onset and persistence of these intervening disorders as well as higher conditional prevalence of the 3-month outcome in the presence of these intervening disorders. CONCLUSIONS: Assessments of pre-MVC PTSD and MDE histories and follow-ups at 2-weeks and 8-weeks could help target early interventions for psychopathological reactions to MVCs.

OBJECTIVE: Major negative life events, such as trauma exposure, can play a key role in igniting or exacerbating psychopathology. However, few disorders are diagnosed with respect to precipitating events, and the role of these events in the unfolding of new psychopathology is not well understood. The authors conducted a multisite transdiagnostic longitudinal study of trauma exposure and related mental health outcomes to identify neurobiological predictors of risk, resilience, and different symptom presentations. METHODS: A total of 146 participants (discovery cohort: N = 69; internal replication cohort: N = 77) were recruited from emergency departments within 72 hours of a trauma and followed for the next 6 months with a survey, MRI, and physiological assessments. RESULTS: Task-based functional MRI 2 weeks after a motor vehicle collision identified four clusters of individuals based on profiles of neural activity reflecting threat reactivity, reward reactivity, and inhibitory engagement. Three clusters were replicated in an independent sample with a variety of trauma types. The clusters showed different longitudinal patterns of posttrauma symptoms. CONCLUSIONS: These findings provide a novel characterization of heterogeneous stress responses shortly after trauma exposure, identifying potential neuroimaging-based biotypes of trauma resilience and psychopathology.

Objective Callous-unemotional (CU) traits—characterized by low empathy, prosociality, and guilt—predict severe and persistent conduct problems. Although some interventions for conduct problems have been less effective in children with high levels of CU traits, studies have not examined whether CU traits interfere with treatment for other childhood disorders. Moreover, few treatments have demonstrated efficacy in decreasing CU traits themselves in early childhood. This study examined whether Parent–Child Interaction Therapy—Emotion Development (PCIT-ED), a novel PCIT adaptation that promotes emotional competence with demonstrated efficacy in treating preschool-onset major depressive disorder and oppositional defiant disorder, was also effective in treating these disorders in children displaying higher levels of CU traits. The study also examined whether PCIT-ED treatment produced significant and sustained decreases in CU traits. Method This study examined 3- to 5-year-olds (N = 114) with preschool-onset major depressive disorder who completed the PCIT-ED trial. Children were randomly assigned to either immediate PCIT-ED treatment (n = 64) or a waitlist control condition (n = 50) in which they received the active treatment after 18 weeks. Psychiatric diagnoses and severity and CU traits in children were assessed at baseline, immediately after treatment, and 18 weeks after treatment completion. Results Compared with the waitlist, PCIT-ED effectively reduced major depressive disorder and oppositional defiant disorder in preschoolers, regardless of initial levels of CU traits. Moreover, CU traits decreased from before to after treatment, and this treatment effect was sustained 18 weeks after treatment. Conclusion Results support that novel interventions that enhance emotional development display significant promise in treating CU traits—behaviors that left untreated predict severe conduct problems, criminality, and substance use. Clinical trial registration information A Randomized Controlled Trial of PCIT-ED for Preschool Depression; https://clinicaltrials.gov ; NCT02076425.

Loneliness is associated with a myriad of detrimental outcomes in mental and physical health. Previous studies have found that people with schizophrenia report greater loneliness than controls, and that loneliness is related to depressive symptoms. However, research has been limited, particularly regarding contributions of loneliness to social and occupational functioning. Further, few studies have examined associations between loneliness and daily experience in schizophrenia. Thus, we recruited 35 individuals with schizophrenia and 37 controls. All participants completed the UCLA loneliness scale, symptom assessments, and measures of social and occupational functioning. Additionally, participants with schizophrenia completed an ecological momentary assessment (EMA) protocol that indexed daily social and emotional experiences, including loneliness. Similar to previous reports, we found that those with schizophrenia reported greater loneliness than controls. Further, loneliness was positively associated with depressive and negative symptoms, and negatively associated with self-reported social functioning. Interestingly, loneliness remained a significant predictor of functioning even when controlling for other symptoms, suggesting that severity of depressive and negative symptoms cannot fully explain the relationship between loneliness and functioning. In our EMA analyses, loneliness did not significantly differ when individuals were alone versus with others, underscoring the notion that being alone is not the same as feeling lonely. However, self-reported engagement during social interactions was negatively associated with loneliness, at a trend-level, suggesting that quality of social interactions is a potentially important consideration. Taken together, these findings suggest that loneliness is an important treatment target and provide understanding for how loneliness may manifest in daily life in schizophrenia. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Monitoring one's performance helps detect errors and adapt to prevent future mistakes. However, elevated performance monitoring is associated with increased checking behaviors and perfectionism and is characteristic of multiple psychiatric disorders. Understanding how heightened performance monitoring in early childhood relates to subsequent brain connectivity may elucidate mechanistic risk factors that influence brain and psychiatric outcomes. The aim of this study was to examine the association between performance monitoring in preschool-aged children and functional connectivity during adolescence. In the current prospective longitudinal study, we performed seed-based functional connectivity analysis using a dorsal anterior cingulate cortex (dACC) seed to assess brain–behavior relationships between observationally coded performance monitoring in preschool-aged children and adolescent functional connectivity (n = 79). We also utilized enrichment analysis to investigate network-level connectome-wide associations. Seed-based analysis revealed negative correlations between preschool performance monitoring and adolescent fc between dACC and orbitofrontal and dorsolateral prefrontal cortex while a positive correlation was observed between dACC-occipital cortex connectivity. Enrichment analysis revealed a negative correlation between preschool performance monitoring and connectivity between motor (MOT) - cingulo-opercular (CO) and salience (SN) - Reward (REW) and a positive correlation with MOT-DMN, and cerebellum (CB) - motor connectivity. Elevated performance monitoring in early childhood is associated with functional connectivity during adolescence in regions and networks associated with cognitive control, sensorimotor processing and cortico-striatal-thalamic-cortico (CTSC) aberrations. These regions and networks are implicated in psychiatric disorders characterized by elevated performance monitoring. Findings shed light on a mechanistic risk factor in early childhood with long-term associations with neural functioning.

Callous–unemotional (CU) behaviors (i.e., low concern and active disregard for others) uniquely predict severe conduct problems and substance use when present by late childhood. Less is known about the predictive utility of CU behaviors displayed in early childhood, when morality is developing and interventions may be more effective. Children aged 4–7 years (N = 246; 47.6% girls) completed an observational task wherein they were encouraged to tear an experimenter's valued photograph, and blind raters coded children's displayed CU behaviors. During the next 14 years, children's conduct problems (i.e., oppositional defiant and conduct symptoms) and age of onset of substance use were assessed. Compared to children displaying fewer CU behaviors, children displaying greater CU behaviors were 7.61 times more likely to meet criteria for a conduct disorder (n = 52) into early adulthood (95% CI, 2.96–19.59; p = B = −.69, SE = .32, t = −2.14, p = .036). An ecologically valid observed indicator of early CU behavior was associated with substantially heightened risk for conduct problems and earlier onset substance use into adulthood. Early CU behavior is a powerful risk marker identifiable using a simple behavioral task which could be used to target children for early intervention.

Understanding the development of depression can inform etiology and prevention/intervention. Maternal depression and maladaptive patterns of temperament (e.g., low positive emotionality [PE] or high negative emotionality, especially sadness) are known to predict depression. Although it is unclear how these risks cause depression, altered functional connectivity (FC) during negative-emotion processing may play an important role. We investigated whether maternal depression and age-3 emotionality predicted FC during negative mood reactivity in never-depressed preadolescents and whether these relationships were augmented by early-life stress. Maternal depression predicted decreased medial prefrontal cortex (mPFC)–amygdala and mPFC–insula FC but increased mPFC–posterior cingulate cortex (PCC) FC. PE predicted increased dorsolateral prefrontal cortex–amygdala FC, whereas sadness predicted increased PCC-based FC in insula, orbitofrontal cortex, and anterior cingulate cortex (ACC). Sadness was more strongly associated with PCC–insula and PCC–ACC FC as early stress increased. Findings indicate that early depression risks may be mediated by FC underlying negative-emotion processing.

We briefly discuss current challenges in the field of positive emotion and reward in psychopathology. These include seven key ‘blind spots’ including: (1) breaking down silos and barriers among disciplines, (2) paradigm shifts in understanding positive emotion, (3) rethinking our language of positive emotions, (4) increasing diversity of research approaches and perspectives, (5) capturing positive emotions in real-world settings, (6) confronting the key role of substance use in positive emotion regulation, and (7) embracing lifespan developmental approaches. By highlighting these challenges, we aim to generate discussion and enhance opportunities for synergistic collaboration as our field looks ahead to dynamic changes and fruitful advances on the horizon.

Background Pediatric anxiety disorders are linked to dysfunction in multiple functional brain networks, as well as to alterations in the allocation of spatial attention. We used network-level analyses to characterize resting-state functional connectivity (rs-fc) alterations associated with 1) symptoms of anxiety and 2) alterations in stimulus-driven attention associated with pediatric anxiety disorders. We hypothesized that anxiety was related to altered connectivity of the frontoparietal, default mode, cingulo-opercular, and ventral attention networks and that anxiety-related connectivity alterations that include the ventral attention network would simultaneously be related to deviations in stimulus-driven attention. Methods A sample of children (n = 61; mean = 10.6 years of age), approximately half of whom met criteria for a current anxiety disorder, completed a clinical assay, an attention task, and rs-fc magnetic resonance imaging scans. Network-level analyses examined whole-brain rs-fc patterns associated with clinician-rated anxiety and with involuntary capture of attention. Post hoc analyses controlled for comorbid symptoms. Results Elevated clinician-rated anxiety was associated with altered connectivity within the cingulo-opercular network, as well as between the cingulo-opercular network and the ventral attention, default mode, and visual networks. Connectivity between the ventral attention and cingulo-opercular networks was associated with variation in both anxiety and stimulus-driven attention. Conclusions Pediatric anxiety is related to aberrant connectivity patterns among several networks, most of which include the cingulo-opercular network. These results help clarify the within- and between-network interactions associated with pediatric anxiety and its association with altered attention, suggesting that specific network connections could be targeted to improve specific altered processes associated with anxiety.

Background Blunted neural reward responsiveness (RR) is observed in youth depression. However, it is unclear whether symptoms of depression experienced early in development relate to adolescent RR beyond current symptoms and, further, whether such relationships with RR differ during two key components of reward processing: anticipation and outcome. Methods Within a prospective longitudinal study oversampled for early depression, children and caregivers completed semiannual diagnostic assessments beginning in preschool. In later adolescence, mean age = 16.49 years (SD = 0.94), youths’ (N = 100) neurophysiological responses to cues signaling likely win and loss and these outcomes were assessed. Longitudinally assessed dimensional depression and externalizing symptoms (often comorbid with depression as well as associated with RR) experienced at different developmental periods (preschool [age 3–5.11 years], school age [6–9.11 years], early adolescence [10–14.11 years], current) were used as simultaneous predictors of event-related potentials indexing anticipatory cue processing (cue-P3) and outcome processing (reward positivity/feedback negativity and feedback-P3). Results Blunted motivated attention to cues signaling likely win (cue-P3) was specifically predicted by early-adolescent depression symptoms. Blunted initial response to win (reward positivity) and loss (feedback negativity) outcomes was specifically predicted by preschool depression symptoms. Blunted motivational salience of win and loss outcomes (feedback-P3) was predicted by cumulative depression, not specific to any developmental stage. Conclusions Although blunted anticipation and outcome RR is a common finding in depression, specific deficits related to motivated attention to cues and initial outcome processing may map onto the developmental course of these symptoms.

Resilient, undercontrolled, and overcontrolled personality types have been identified across the life span and are associated with psychiatric symptoms and functioning. However, it is unknown whether these types are identifiable in preschool-aged children using observational indices or whether they predict longitudinal outcomes. The current study used observationally coded five-factor model (FFM) traits in a sample of preschoolers to identify whether personality traits cluster into types, whether types predict psychiatric symptoms and impairment across development, and whether types better predict outcomes than trait dimensions. Using a validated "thin slice" approach, preschool personality was observationally coded in a clinically enriched sample oversampled for depression (N = 299). Latent class analysis tested how FFM dimensions organized into types, identifying resilient, undercontrolled, and overcontrolled preschoolers. Types demonstrated baseline diagnostic differences and multilevel models indicated above baseline diagnoses, undercontrolled children exhibited elevated externalizing symptoms and worse functioning across development, whereas overcontrolled and resilient children did not differ. Personality types and dimensions both provided similar predictive utility. Resilient, undercontrolled, and overcontrolled personality types are identifiable using FFM observational coding in clinically heterogeneous preschoolers and undercontrolled children demonstrated the most severe trajectories. Findings highlight that personality types are detectable at early ages and have unique predictive power for psychiatric outcomes across development compared with dimensions. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Obesity is a major public health problem and cause of significant burden across the lifespan. Longitudinal samples, beginning in early childhood offer an advantageous approach to studying obesity, given the potential to observe within-individual changes over time. Yet among the many available longitudinal studies of children, particularly those studying psychological disorders, do not assess for overweight/obesity status or related constructs necessary to compute BMI. We offer a unique thin slice approach for assessing obesity/overweight status using previously collected video data. The current study observationally coded overweight/obesity status in a clinically enriched sample of preschoolers oversampled for depression (N = 299). Preschoolers (ages 3–6 years) completed 1–8 structured observational tasks with an experimenter. Overweight/obesity was coded using a “thin slice” technique with 7820 unique ratings available for analysis. Parent-reported physical health problems were assessed throughout the study and BMI percentiles were available from ages 8–19 years. Thin-slice ratings of overweight/obesity were reliably observed in preschoolers’ ages 3–6 years. Thin-slice ratings of overweight/obesity during preschool significantly predicted adolescent BMI percentiles at six separate assessments spanning ages 8–19 years. Further, preschool overweight/obese thin-slice ratings were associated with more physical health problems over time and less sport/activity participation during preschool. Overweight/obesity can be observationally identified in preschool-age children and offers a reliable estimate of future BMI percentile. Study findings highlight how previously collected data could be utilized to study the developmental trajectories of overweight/obesity to inform this critical public health problem.

The Diagnostic and Statistical Manual of Mental Disorders (DSM), used to diagnose psychiatric disorders, was revised to DSM-5 in 2013. Changes were made to the criteria for obsessive-compulsive disorder (OCD), a disorder with a lifetime prevalence of 1% to 3% in children.1 Prior revisions to OCD criteria (from DSM-III to DSM-IV) resulted in lower reported prevalence rates,2 but this is not yet clear with DSM-5. In DSM-5, the definition of obsessions was broadened (Table 1), and the requirement that obsessions cause marked anxiety or distress was removed. Thus we examined rates of OCD within the Adolescent Brain Cognitive Development (ABCD) study3 using both DSM-IV and DSM-5 criteria.

Objective Research implicates environmental risk factors, including correlates of urbanicity, deprivation, and environmental toxins, in psychotic-like experiences (PLEs). The current study examined associations between several types of environmental risk factors and PLEs in school-age children, whether these associations were specific to PLEs or generalized to other psychopathology, and examined possible neural mechanisms for significant associations. Method The current study used cross-sectional data from 10,328 children 9–10 years old from the Adolescent Brain Cognitive Development (ABCD) Study. Hierarchical linear models examined associations between PLEs and geocoded environmental risk factors and whether associations generalized to internalizing/externalizing symptoms. Mediation models examined evidence of structural magnetic resonance imaging abnormalities (eg, intracranial volume) potentially mediating associations between PLEs and environmental risk factors. Results Specific types of environmental risk factors, namely, measures of urbanicity (eg, drug offense exposure, less perception of neighborhood safety), deprivation (eg, overall deprivation, poverty rate), and lead exposure risk, were associated with PLEs. These associations showed evidence of stronger associations with PLEs than internalizing/externalizing symptoms (especially overall deprivation, poverty, drug offense exposure, and lead exposure risk). There was evidence that brain volume mediated between 11% and 25% of associations of poverty, perception of neighborhood safety, and lead exposure risk with PLEs. Conclusion Although in the context of cross-sectional analyses, this evidence is consistent with neural measures partially mediating the association between PLEs and environmental exposures. This study also replicated and extended recent findings of associations between PLEs and environmental exposures, finding evidence for specific associations with correlates of urbanicity, deprivation, and lead exposure risk.

Understanding longitudinal associations between problematic peer relations and psychopathology is needed to inform public health. Three models have been proposed: Poor peer relations (a) lead or are a risk factor for psychopathology, (b) lag or are a consequence of psychopathology, or (c) both lead and lag psychopathology. Another model is that poor peer relations lead or lag psychopathology depending on the developmental period. To test these models, youths’ peer relations and clinical symptoms were assessed up to six times between ages 3 and 11 in 306 children. Bivariate latent-change-score models tested leading and lagging longitudinal relationships between children’s peer relations (peer victimization/rejection, peer-directed aggression, social withdrawal, prosocial behavior) and psychopathology (depression, anxiety, and externalizing symptoms). Peer victimization/rejection was a leading indicator of depression from early childhood into preadolescence. Peer-directed aggression was a leading indicator of externalizing symptoms (in late childhood).

Rapid instructed task learning (RITL) is the uniquely human ability to transform task information into goal-directed behavior without relying on trial-and-error learning. RITL is a core cognitive process supported by functional brain networks. In patients with schizophrenia, RITL ability is impaired, but the role of functional network connectivity in these RITL deficits is unknown. We investigated task-based connectivity of eight a priori network pairs in participants with schizophrenia ( n = 29) and control participants ( n = 31) during the performance of an RITL task. Multivariate pattern analysis was used to determine which network connectivity patterns predicted diagnostic group. Of all network pairs, only the connectivity between the cingulo-opercular network (CON) and salience network (SAN) during learning classified patients and control participants with significant accuracy (80%). CON-SAN connectivity during learning was significantly associated with task performance in participants with schizophrenia. These findings suggest that impaired interactions between identification of salient stimuli and maintenance of task goals contributes to RITL deficits in participants with schizophrenia.

The amygdala has been implicated in processing threat and learning fear. However, the amygdala also responds to motivationally relevant stimuli even in the absence of explicit emotional content. We investigated the relationship among amygdala activation, cognitive and emotional factors, and fMRI task data in participants from the Young Adult Human Connectome Project. We expected to see variation in amygdala activation that corresponded with variation in traits that could affect the salience of task related stimuli (i.e. internalizing symptoms and fearful faces). We found no relationship between amygdala activation during face viewing and emotion related traits. However, amygdala activation under working memory load was negatively correlated with fluid intelligence and reading level. There was also a negative relationship between task performance and activation in the amygdala. The observed relationship suggests that the role of amygdala is not limited to the processing of emotional content of incoming information, but is instead related to salience, which can be influenced by individual differences.

Background Effective emotion regulation (ER) may be supported by 1) accurate emotion identification, encoding, and maintenance of emotional states and related brain activity of regions involved in emotional response (i.e., amygdala, ventral/posterior insula) and 2) cognitive processes that implement reframing, supported by activation in cognitive control brain regions (e.g., frontal, insular, and parietal cortices). The purpose of this project was to examine how emotion labeling ability in early childhood is related to ER concurrently and prospectively. Methods Data from a prospective longitudinal study of youths at risk for depression, including measures of emotion labeling (i.e., Facial Affect Comprehension Evaluation) and ER ability (i.e., Emotion Regulation Checklist) and strategy use (i.e., Cognitive Emotion Regulation Questionnaire, Children’s Response Style Questionnaire), and functional magnetic resonance imaging data during a sadness ER task (N = 139) were examined. Results Findings from multilevel modeling and linear regression suggested that greater emotion labeling ability of more difficult emotions in early childhood was associated with enhanced parent-reported ER in adolescence, but not with a tendency to engage in adaptive or maladaptive ER strategies. Recognition of fear and surprise predicted greater activation in cortical regions involved in cognitive control during an ER of sadness task, including in the insula, anterior cingulate cortex, dorsal medial prefrontal cortex, and inferior frontal gyrus. Conclusions These findings suggest that early ability to identify and label difficult facial emotions in early childhood is associated with better ER in adolescence and enhanced activity of cognitive control regions of the brain.

Background Executive Function Deficits (EFD) accompany depression and are associated with poor outcomes in older adults. We examined whether Intermittent Theta Burst Stimulation (iTBS) could improve depression with EFD. Methods Thirteen geriatric patients with depression and EFD were enrolled. Open label iTBS was delivered bilaterally over the dorso-lateral-prefrontal-cortex for four weeks. Results Montgomery Asberg Depression Scale scores improved significantly from baseline to treatment-end, mean change in score = 11.82 points, 95% CI = 8.3, 15.4. The Flanker Inhibitory control and attention test showed significant improvement in executive function from baseline to treatment-end, mean change in score = −7.73, 95% CI ( −13.54, −1.92). Side effects included twitching in facial muscles (n = 11), headaches (n = 10) and stimulation discomfort (n = 4). Limitations Small sample size and lack of a sham comparator. Conclusion iTBS improved depression with EFD in older adults. Side effects appeared higher than in previous iTBS studies.

This is the initial report of results from the AURORA multisite longitudinal study of adverse post-traumatic neuropsychiatric sequelae (APNS) among participants seeking emergency department (ED) treatment in the aftermath of a traumatic life experience. We focus on n = 666 participants presenting to EDs following a motor vehicle collision (MVC) and examine associations of participant socio-demographic and participant-reported MVC characteristics with 8-week posttraumatic stress disorder (PTSD) adjusting for pre-MVC PTSD and mediated by peritraumatic symptoms and 2-week acute stress disorder (ASD). Peritraumatic Symptoms, ASD, and PTSD were assessed with self-report scales. Eight-week PTSD prevalence was relatively high (42.0%) and positively associated with participant sex (female), low socioeconomic status (education and income), and several self-report indicators of MVC severity. Most of these associations were entirely mediated by peritraumatic symptoms and, to a lesser degree, ASD, suggesting that the first 2 weeks after trauma may be a uniquely important time period for intervening to prevent and reduce risk of PTSD. This observation, coupled with substantial variation in the relative strength of mediating pathways across predictors, raises the possibility of diverse and potentially complex underlying biological and psychological processes that remain to be elucidated with more in-depth analyses of the rich and evolving AURORA data.

There has been extensive discussion about gender gaps in representation and career advancement in the sciences. However, psychological science itself has yet to be the focus of discussion or systematic review, despite our field’s investment in questions of equity, status, well-being, gender bias, and gender disparities. In the present article, we consider 10 topics relevant for women’s career advancement in psychological science. We focus on issues that have been the subject of empirical study, discuss relevant evidence within and outside of psychological science, and draw on established psychological theory and social-science research to begin to chart a path forward. We hope that better understanding of these issues within the field will shed light on areas of existing gender gaps in the discipline and areas where positive change has happened, and spark conversation within our field about how to create lasting change to mitigate remaining gender differences in psychological science.

Recently, experimental tasks have been developed which index individual differences in willingness to expend effort for reward. However, little is known regarding whether such measures are associated with daily experience of effort. To test this, 31 participants completed an ecological momentary assessment (EMA) protocol, answering surveys regarding the mental and physical demand of their daily activities, and also completed two effort-based decision-making tasks: the Effort Expenditure for Rewards Task (EEfRT) and the Cognitive Effort Discounting (COGED) Task. Individuals who reported engaging in more mentally and physically demanding activities via EMA were also more willing to expend effort in the COGED task. However, EMA variables were not significantly associated with EEfRT decision-making. The results demonstrate the ecological, discriminant, and incremental validity of the COGED task, and provide preliminary evidence that individual differences in daily experience of effort may arise, in part, from differences in trait-level tendencies to weigh the costs versus benefits of actions.

Prior research has shown that sipping of alcohol begins to emerge during childhood and is potentially etiologically significant for later substance use problems. Using a large, community sample of 9- and 10-year-olds (N = 11,872; 53% female), we examined individual differences in precocious alcohol use in the form of alcohol sipping. We focused explicitly on features that are robust and well-demonstrated correlates of, and antecedents to, alcohol excess and related problems later in the lifespan, including youth- and parent-reported externalizing traits (i.e., impulsivity, behavioral inhibition and activation) and psychopathology. Seventeen percent of the sample reported sipping alcohol outside of a religiously sanctioned activity by age 9 or 10. Several aspects of psychopathology and personality emerged as small but reliable correlates of sipping. Nonreligious sipping was related to youth-reported impulsigenic traits, aspects of behavioral activation, prodromal psychotic-like symptoms, and mood disorder diagnoses, as well as parent-reported externalizing disorder diagnoses. Religious sipping was unexpectedly associated with certain aspects of impulsivity. Together, our findings point to the potential importance of impulsivity and other transdiagnostic indicators of psychopathology (e.g., emotion dysregulation, novelty seeking) in the earliest forms of drinking behavior.

Following in the footsteps of other large “population neuroscience” studies, the Adolescent Brain Cognitive Development℠ (ABCD) study is the largest in the U.S. assessing brain development. The study is examining approximately 11,875 youth from 21 sites from age 9 to 10 for approximately ten years into young adulthood. The ABCD Study® has completed recruitment for the baseline sample generally using a multi-stage probability sample including a stratified random sample of schools. The dataset has a wealth of measured attributes of youths and their environment, including neuroimaging, cognitive, biospecimen, behavioral, youth self-report and parent self-report metrics, and environmental measures. The initial goal of the ABCD Study was to examine risk and resiliency factors associated with the development of substance use, but the project has expanded far beyond this initial set of questions and will also greatly inform our understanding of the contributions of biospecimens (e.g., pubertal hormones), neural alterations, and environmental factors to the development of both healthy behavior and brain function as well as risk for poor mental and physical outcomes. This review outlines how the ABCD Study was designed to elucidate factors associated with the development of negative mental and physical health outcomes and will provide a selective overview of results emerging from the ABCD Study. Such emerging data includes initial validation of new instruments, important new information about the prevalence and correlates of mental health challenges in middle childhood, and promising data regarding neural correlates of both healthy and disordered behavior. In addition, we will discuss the challenges and opportunities to understanding both healthy development and the emergence of risk from ABCD Study data. Finally, we will overview the future directions of this large undertaking and the ways in which it will shape our understanding of the development of risk for poor mental and physical health outcomes.

The Prodromal Questionnaire-Brief Child Version (PQ-BC) has been developed as a tool for identifying psychotic-like experiences (PLEs) in school-age children. The current study examined the psychometric properties of the PQ-BC, examined how well the PQ-BC estimates the latent construct of PLEs (θ), and began the process of developing a screening form informed by item response theory (IRT). Utilizing the baseline (N = 11,129) sample from the Adolescent Brain Cognitive Development study, we examined which PQ-BC items provide the most information and best discriminate individuals experiencing PLEs. Using hierarchical linear models (HLMs), we found that θ scores were significantly associated with several previously identified predictors of psychosis spectrum symptoms (i.e., history of psychosis, internalizing symptoms, cognitive impairments, developmental milestone delays, and resting-state functional connectivity impairments) at baseline and Year 1 (n = 5,532). Using item-level information and discrimination parameters of the PQ-BC from the baseline sample, we created a 7-item screening form. HLMs generally found significant associations between screening form scores for both baseline and Year 1 with the aforementioned predictors. The analyses provide evidence for the validity of a screening form derived from the PQ-BC using IRT-derived parameters. This screening form could prove useful when the full measure is not feasible. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

The current study examines the measurement properties and validity of a novel, abbreviated youth version of the UPPS-P Impulsive Behavior Scale that was developed to maintain measurement consistency with the existing adult short form. Specifically, we examined this scale's (a) factor structure; (b) measurement and structural invariance across four demographic characteristics: gender, ethnicity, household income, and parental education; and (c) correlates using a subset of 4,521 preadolescent (9- and 10-year old) children (53% male) from the baseline wave of the Adolescent Brain and Cognitive Development (ABCD) study, a large, community-based sample. Our findings supported a correlated 5-factor model, as well as a hierarchical model that recaptured the covariation among these 5 lower-order factors in three higher-order factors. Both of these models are consistent with the commonly observed structure of the UPPS-P among adults. We established measurement invariance across all demographic characteristics. Finally, our UPPS-P scales evidenced good convergent and discriminant validity with a broad swath of theoretically relevant external criteria, including self- and parent-reported personality and psychopathology, as well as lab-based neurocognitive tasks. Our findings indicate that we can assess multidimensional impulsivity in children reliably and validly by means of self-report, allowing assessment of this critical domain at early stages of development. We hope that this measure will facilitate the study of impulsivity in large-scale samples to begin to understand the evolution and long-term consequences of impulsivity. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Background Maladaptive guilt can develop by age three and is associated with severe affective psychopathology in adolescents and adults. Yet, little is known about its prevalence prior to adolescence, or which children are at greatest risk of developing this symptom. This study examined the prevalence and correlates of maladaptive guilt in middle childhood. Methods This study examined a large community sample of 9-to 10-year-old children (N = 4485) from the Adolescent Brain and Cognitive Development (ABCD) study. Maladaptive guilt was assessed through the Kiddie Schedule for Affective Disorders and Schizophrenia for DSM-5. Parental rejection, family conflict, and parental depression were assessed via questionnaires. Results In depressed children, a 1-month prevalence of maladaptive guilt of 18.4% and a lifetime prevalence of 30.8% was found. Lifetime rates ranged from 1.8 to 4.1% in children with other psychiatric disorders. Cross-sectionally, maladaptive guilt was associated with lower family income-to-needs, greater family conflict, a history of maternal depression, and greater parental rejection. These findings held when controlling for children's depressive severity, indicating that these associations are specific to maladaptive guilt. Limitations Maladaptive guilt was assessed through one item, though many studies of maladaptive guilt measure the symptom in this manner. Conclusions Findings suggest that it may be beneficial for clinicians to assess for maladaptive guilt beyond the context of assessment for depression, particularly with children of low socioeconomic status and children of depressed mothers, whom this study suggests are at higher risk. Negative family climates and parenting might also be important targets of preventative interventions.

The Adolescent Brain Cognitive Development (ABCD) Study of 11,880 youth incorporates a comprehensive range of measures assessing predictors and outcomes related to mental health across childhood and adolescence in participating youth, as well as information about family mental health history. We have previously described the logic and content of the mental health assessment battery at Baseline and 1-year follow-up. Here, we describe changes to that battery and issues and clarifications that have emerged, as well as additions to the mental health battery at the 2-, 3-, 4-, and 5-year follow-ups. We capitalize on the recent release of longitudinal data for caregiver and youth report of mental health data to evaluate trajectories of dimensions of psychopathology as a function of demographic factors. For both caregiver and self-reported mental health symptoms, males showed age-related decreases in internalizing and externalizing symptoms, while females showed an increase in internalizing symptoms with age. Multiple indicators of socioeconomic status (caregiver education, family income, financial adversity, neighborhood poverty) accounted for unique variance in both caregiver and youth-reported externalizing and internalizing symptoms. These data highlight the importance of examining developmental trajectories of mental health as a function of key factors such as sex and socioeconomic environment.

Long-standing hypotheses about schizophrenia as a "dysconnection" syndrome are consistent with the idea that mental illness arises in part from brain circuit disruptions, with impairments in cognition and behavior occurring because of a failure of coordinated action across multiple brain regions. One such theory, put forth by Andreasen and colleagues, suggested that schizophrenia involves a disruption in the integration of cortical-striatal-thalamic-cerebellar circuits.1 Anatomical work in primates has shown that the thalamus is topographically organized into parallel pathways connecting specific thalamic nuclei to different regions of cortex. The medial dorsal and anterior nuclei of the thalamus project to the dorsolateral prefrontal cortex (dlPFC), whereas the lateral nuclei project more to sensorimotor regions, with similar findings in functional brain connectivity studies in humans. A large body of evidence has shown reduced connectivity from bilateral thalamic regions, medial dorsal, and anterior nuclei in particular, to the bilateral dlPFC, dorsal anterior cingulate, parts of the striatum, and bilateral cerebellum in schizophrenia.2 This is often coupled increased connectivity between the thalamus, lateral nuclei in particular, and motor, visual, and/or auditory sensory regions.2.

Trait stability of measures is an essential requirement for individual differences research. Functional MRI has been increasingly used in studies that rely on the assumption of trait stability, such as attempts to relate task related brain activation to individual differences in behavior and psychopathology. However, recent research using adult samples has questioned the trait stability of task-fMRI measures, as assessed by test-retest correlations. To date, little is known about trait stability of task fMRI in children. Here, we examined within-session reliability and longitudinal stability of task-fMRI using data from the Adolescent Brain Cognitive Development (ABCD) Study using its tasks focused on reward processing, response inhibition, and working memory. We also evaluated the effects of factors potentially affecting reliability and stability. Reliability and stability [quantified via an intraclass correlation (ICC) that focuses on rank consistency] was poor in virtually all brain regions, with an average ICC of .078 and .054 for short (within-session) and long-term (between-session) ICCs, respectively, in regions of interest (ROIs) historically-recruited by the tasks. ICC values in ROIs did not exceed the ‘poor’ cut-off of .4, and in fact rarely exceeded .2 (only 5.9%). Motion had a pronounced effect on estimated ICCs, with the lowest motion quartile of participants having a mean reliability/stability three times higher (albeit still ‘poor’) than the highest motion quartile. Regions with stronger activation tended to show higher ICCs, with the absolute value of activity and reliability/stability correlating at .53. Across regions, the magnitude of age-related longitudinal (between-session) changes positively correlated with the longitudinal stability of individual differences, which suggests developmental change was not necessarily responsible for poor stability. Poor reliability and stability of task-fMRI, particularly in children, diminishes potential utility of fMRI data due to a drastic reduction of effect sizes and, consequently, statistical power for the detection of brain-behavior associations. This essential issue needs to be addressed through optimization of preprocessing pipelines and data denoising methods.

ObjectivePrenatal selective serotonin reuptake inhibitor (SSRI) exposure has been inconsistently linked to depression. Potential neural intermediaries remain understudied. We examined whether prenatal SSRI exposure is associated with depressive symptoms and brain structure during middle childhood.MethodsPrenatal SSRI exposure (retrospective caregiver-report), depressive symptoms (caregiver-reported Child Behavior Checklist) and brain structure (MRI-derived subcortical volume; cortical thickness and surface area) were assessed in children (analytic ns=5,420-7,528; 235 with prenatal SSRI exposure; 9-10 years old) who completed the baseline session of the Adolescent Brain and Cognitive DevelopmentSM Study. Covariates included familial (e.g., 1st degree relative depression density), pregnancy (e.g., planned pregnancy), and child (e.g., birthweight) variables. Matrix spectral decomposition was used to address multiple testing.ResultsThere was no evidence that prenatal SSRI exposure was associated with child depression after accounting for recent maternal depressive symptoms. Prenatal SSRI exposure was associated with greater left superior parietal surface area (b=145.3 mm2, p=0.00038) and lateral occipital cortical thickness (b=0.0272 mm, p=0.0000079), neither of which was associated with depressive symptoms.ConclusionsOur findings, combined with adverse associations of prenatal exposure to maternal depression and the utility of SSRIs for treating depression, suggest that risk for child depression during middle childhood should not discourage SSRI use during pregnancy. It will be important for future work to examine associations between prenatal SSRI exposure and depression through young adulthood, when risk for depression increases.

The reward positivity (RewP) is a widely studied measure of neural response to rewards, yet little is known about normative developmental characteristics of the RewP during early childhood. The present study utilized a pooled community sample of 309 4- to 6-year-old children who participated in the Doors guessing game to examine the latency and amplitude of the RewP. Peak detection of the gain-loss difference waveform was conducted for electrodes Fz, Cz, Pz, Oz and the mean activity in a 100 ms window centered around this peak was analyzed. There was a significant decrease in RewP latency (RewP was earlier) and increase in RewP amplitude (RewP magnitude was larger) with advancing age in this cross-sectional analysis. Further, these were independent effects, as both RewP latency and RewP amplitude were uniquely associated with children's age. Moreover, our results indicate that the RewP latency in 4- to 6-year-olds falls outside the 250-350 ms window typically used to quantify the RewP (RewP latency in our sample = 381 ms; SD = 60.15). The internal consistency for latency (.64) and amplitude (.27) of the RewP were characterized by moderate to low reliability, consistent with previous work on the reliability of difference scores. Overall, results demonstrate RewP differences in both timing and amplitude across age in early childhood, and suggest that both amplitude and latency of the RewP might function as individual difference measures of reward processing. These findings are discussed in the context of methodological considerations and the development of reward processing across early childhood.

Importance A substantial proportion of the 40 million people in the US who present to emergency departments (EDs) each year after traumatic events develop posttraumatic stress disorder (PTSD) or major depressive episode (MDE). Accurately identifying patients at high risk in the ED would facilitate the targeting of preventive interventions. Objectives To develop and validate a prediction tool based on ED reports after a motor vehicle collision to predict PTSD or MDE 3 months later. Design, Setting, and Participants The Advancing Understanding of Recovery After Trauma (AURORA) study is a longitudinal study that examined adverse posttraumatic neuropsychiatric sequalae among patients who presented to 28 US urban EDs in the immediate aftermath of a traumatic experience. Enrollment began on September 25, 2017. The 1003 patients considered in this diagnostic/prognostic report completed 3-month assessments by January 31, 2020. Each patient received a baseline ED assessment along with follow-up self-report surveys 2 weeks, 8 weeks, and 3 months later. An ensemble machine learning method was used to predict 3-month PTSD or MDE from baseline information. Data analysis was performed from November 1, 2020, to May 31, 2021. Main Outcomes and Measures The PTSD Checklist forDSM-5was used to assess PTSD and the Patient Reported Outcomes Measurement Information System Depression Short-Form 8b to assess MDE. Results A total of 1003 patients (median [interquartile range] age, 34.5 [24-43] years; 715 [weighted 67.9%] female; 100 [weighted 10.7%] Hispanic, 537 [weighted 52.7%] non-Hispanic Black, 324 [weighted 32.2%] non-Hispanic White, and 42 [weighted 4.4%] of non-Hispanic other race or ethnicity were included in this study. A total of 274 patients (weighted 26.6%) met criteria for 3-month PTSD or MDE. An ensemble machine learning model restricted to 30 predictors estimated in a training sample (patients from the Northeast or Midwest) had good prediction accuracy (mean [SE] area under the curve [AUC], 0.815 [0.031]) and calibration (mean [SE] integrated calibration index, 0.040 [0.002]; mean [SE] expected calibration error, 0.039 [0.002]) in an independent test sample (patients from the South). Patients in the top 30% of predicted risk accounted for 65% of all 3-month PTSD or MDE, with a mean (SE) positive predictive value of 58.2% (6.4%) among these patients at high risk. The model had good consistency across regions of the country in terms of both AUC (mean [SE], 0.789 [0.025] using the Northeast as the test sample and 0.809 [0.023] using the Midwest as the test sample) and calibration (mean [SE] integrated calibration index, 0.048 [0.003] using the Northeast as the test sample and 0.024 [0.001] using the Midwest as the test sample; mean [SE] expected calibration error, 0.034 [0.003] using the Northeast as the test sample and 0.025 [0.001] using the Midwest as the test sample). The most important predictors in terms of Shapley Additive Explanations values were symptoms of anxiety sensitivity and depressive disposition, psychological distress in the 30 days before motor vehicle collision, and peritraumatic psychosomatic symptoms. Conclusions and Relevance The results of this study suggest that a short set of questions feasible to administer in an ED can predict 3-month PTSD or MDE with good AUC, calibration, and geographic consistency. Patients at high risk can be identified in the ED for targeting if cost-effective preventive interventions are developed.

Visual shape completion recovers object shape, size, and number from spatially segregated edges. Despite being extensively investigated, the process's underlying brain regions, networks, and functional connections are still not well understood. To shed light on the topic, we scanned (fMRI) healthy adults during rest and during a task in which they discriminated pac-man configurations that formed or failed to form completed shapes (illusory and fragmented condition, respectively). Task activation differences (illusory-fragmented), resting-state functional connectivity, and multivariate pattern differences were identified on the cortical surface using 360 predefined parcels and 12 functional networks composed of such parcels. Brain activity flow mapping (ActFlow) was used to evaluate the likely involvement of resting-state connections for shape completion. We identified 36 differentially-active parcels including a posterior temporal region, PH, whose activity was consistent across 95% of observers. Significant task regions primarily occupied the secondary visual network but also incorporated the frontoparietal, dorsal attention, default mode, and cingulo-opercular networks. Each parcel's task activation difference could be modeled via its resting-state connections with the remaining parcels (r=.62, p

The parent-adolescent relationship is important for adolescents' emotion regulation (ER), yet little is known regarding the neural patterns of dyadic ER that occur during parent-adolescent interactions. A novel measure that can be used to examine such patterns is cross-brain connectivity (CBC)-concurrent and time-lagged connectivity between two individuals' brain regions. This study sought to provide evidence of CBC and explore associations between CBC, parenting, and adolescent internalizing symptoms. Thirty-five adolescents (mean age = 15 years, 69% female, 72% Non-Hispanic White, 17% Black, 11% Hispanic or Latino) and one biological parent (94% female) completed an fMRI hyperscanning conflict discussion task. Results revealed CBC between emotion-related brain regions. Exploratory analyses indicated CBC is associated with parenting and adolescent depressive symptoms.