Gray matter volume associations in youth with ADHD features of inattention and hyperactivity/impulsivity.

BACKGROUND: Prior research has shown smaller cortical and subcortical gray matter volumes among individuals with attention-deficit/hyperactivity disorder (ADHD). However, neuroimaging studies often do not differentiate between inattention and hyperactivity/impulsivity, which are distinct core features of ADHD. The present study uses an approach to disentangle overlapping variance to examine the neurostructural heterogeneity of inattention and hyperactivity/impulsivity dimensions. METHODS: We analyzed data from 10,692 9- to 10-year-old children from the Adolescent Brain Cognitive Development (ABCD) Study. Confirmatory factor analysis was used to derive factors representing inattentive and hyperactive/impulsive traits. We employed structural equation modeling to examine these factors' associations with gray matter volume while controlling for the shared variance between factors. RESULTS: Greater endorsement of inattentive traits was associated with smaller bilateral caudal anterior cingulate and left parahippocampal volumes. Greater endorsement of hyperactivity/impulsivity traits was associated with smaller bilateral caudate and left parahippocampal volumes. The results were similar when accounting for socioeconomic status, medication, and in-scanner motion. The magnitude of these findings increased when accounting for overall volume and intracranial volume, supporting a focal effect in our results. CONCLUSIONS: Inattentive and hyperactivity/impulsivity traits show common volume deficits in regions associated with visuospatial processing and memory while at the same time showing dissociable differences, with inattention showing differences in areas associated with attention and emotion regulation and hyperactivity/impulsivity associated with volume differences in motor activity regions. Uncovering such biological underpinnings within the broader disorder of ADHD allows us to refine our understanding of ADHD presentations.

Psychosis brain subtypes validated in first-episode cohorts and related to illness remission: results from the PHENOM consortium.

Using machine learning, we recently decomposed the neuroanatomical heterogeneity of established schizophrenia to discover two volumetric subgroups-a 'lower brain volume' subgroup (SG1) and an 'higher striatal volume' subgroup (SG2) with otherwise normal brain structure. In this study, we investigated whether the MRI signatures of these subgroups were also already present at the time of the first-episode of psychosis (FEP) and whether they were related to clinical presentation and clinical remission over 1-, 3-, and 5-years. We included 572 FEP and 424 healthy controls (HC) from 4 sites (Sao Paulo, Santander, London, Melbourne) of the PHENOM consortium. Our prior MRI subgrouping models (671 participants; USA, Germany, and China) were applied to both FEP and HC. Participants were assigned into 1 of 4 categories: subgroup 1 (SG1), subgroup 2 (SG2), no subgroup membership ('None'), and mixed SG1 + SG2 subgroups ('Mixed'). Voxel-wise analyses characterized SG1 and SG2 subgroups. Supervised machine learning analyses characterized baseline and remission signatures related to SG1 and SG2 membership. The two dominant patterns of 'lower brain volume' in SG1 and 'higher striatal volume' (with otherwise normal neuromorphology) in SG2 were identified already at the first episode of psychosis. SG1 had a significantly higher proportion of FEP (32%) vs. HC (19%) than SG2 (FEP, 21%; HC, 23%). Clinical multivariate signatures separated the SG1 and SG2 subgroups (balanced accuracy = 64%; p < 0.0001), with SG2 showing higher education but also greater positive psychosis symptoms at first presentation, and an association with symptom remission at 1-year, 5-year, and when timepoints were combined. Neuromorphological subtypes of schizophrenia are already evident at illness onset, separated by distinct clinical presentations, and differentially associated with subsequent remission. These results suggest that the subgroups may be underlying risk phenotypes that could be targeted in future treatment trials and are critical to consider when interpreting neuroimaging literature.

Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence.

BACKGROUND: We used a polygenic score for externalizing behavior (extPGS) and structural MRI to examine potential pathways from genetic liability to conduct problems via the brain across the adolescent transition. METHODS: Three annual assessments of child conduct problems, attention-deficit/hyperactivity problems, and internalizing problems were conducted across across 9-13 years of age among 4,475 children of European ancestry in the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®). RESULTS: The extPGS predicted conduct problems in each wave (R2 = 2.0%-2.9%). Bifactor models revealed that the extPRS predicted variance specific to conduct problems (R2 = 1.7%-2.1%), but also variance that conduct problems shared with other measured problems (R2 = .8%-1.4%). Longitudinally, extPGS predicted levels of specific conduct problems (R2 = 2.0%), but not their slope of change across age. The extPGS was associated with total gray matter volume (TGMV; R2 = .4%) and lower TGMV predicted both specific conduct problems (R2 = 1.7%-2.1%) and the variance common to all problems in each wave (R2 = 1.6%-3.1%). A modest proportion of the polygenic liability specific to conduct problems in each wave was statistically mediated by TGMV. CONCLUSIONS: Across the adolescent transition, the extPGS predicted both variance specific to conduct problems and variance shared by all measured problems. The extPGS also was associated with TGMV, which robustly predicted conduct problems. Statistical mediation analyses suggested the hypothesis that polygenic variation influences individual differences in brain development that are related to the likelihood of conduct problems during the adolescent transition, justifying new research to test this causal hypothesis.

The Association between Insomnia and Anxiety Symptoms in a Naturalistic Anxiety Treatment Setting.

Objective/Background: Few studies have examined the relationship between insomnia and anxiety treatment outcomes in naturalistic settings. Furthermore, prior studies typically examine insomnia within a single anxiety diagnosis without accounting for the high overlap between disorders. Here we investigate the association between insomnia and multiple anxiety disorders over a course of cognitive behavioral treatment (CBT) in a naturalistic treatment setting. Participants: Insomnia was assessed in 326 patients seeking treatment at a clinic specializing in CBT for anxiety. Methods: Multilevel modeling was used to investigate whether insomnia moderated reductions in anxiety symptoms. A cross-lagged analysis tested for bidirectional effects between insomnia and anxiety. Multiple regression was used to investigate the relationship between insomnia and anxiety while controlling for the other anxiety disorders and depression. Results: While there was a significant reduction in insomnia during treatment in all anxiety disorders, the majority of the most severe patients remained in the clinical range at post-treatment. Baseline insomnia did not significantly moderate anxiety outcomes, suggesting that patients with high or low levels of insomnia will do equally well in CBT for anxiety. The bidirectional effect between insomnia and anxiety did not reach significance. Additionally, posttraumatic stress disorder, generalized anxiety disorder, and panic disorder were associated with the greatest endorsement of insomnia, after controlling for the overlap between disorders. Conclusions: Sleep problems may persist after anxiety treatment, suggesting that CBT for insomnia may be warranted during or after a course of CBT for anxiety. Importantly, baseline insomnia does not impede anxiety reduction during CBT.

Gestational Age is Dimensionally Associated with Structural Brain Network Abnormalities Across Development.

Prematurity is associated with diverse developmental abnormalities, yet few studies relate cognitive and neurostructural deficits to a dimensional measure of prematurity. Leveraging a large sample of children, adolescents, and young adults (age 8-22 years) studied as part of the Philadelphia Neurodevelopmental Cohort, we examined how variation in gestational age impacted cognition and brain structure later in development. Participants included 72 preterm youth born before 37 weeks' gestation and 206 youth who were born at term (37 weeks or later). Using a previously-validated factor analysis, cognitive performance was assessed in three domains: (1) executive function and complex reasoning, (2) social cognition, and (3) episodic memory. All participants completed T1-weighted neuroimaging at 3 T to measure brain volume. Structural covariance networks were delineated using non-negative matrix factorization, an advanced multivariate analysis technique. Lower gestational age was associated with both deficits in executive function and reduced volume within 11 of 26 structural covariance networks, which included orbitofrontal, temporal, and parietal cortices as well as subcortical regions including the hippocampus. Notably, the relationship between lower gestational age and executive dysfunction was accounted for in part by structural network deficits. Together, these findings emphasize the durable impact of prematurity on cognition and brain structure, which persists across development.

Diminished Cortical Thickness Is Associated with Impulsive Choice in Adolescence.

Adolescence is characterized by both maturation of brain structure and increased risk of negative outcomes from behaviors associated with impulsive decision-making. One important index of impulsive choice is delay discounting (DD), which measures the tendency to prefer smaller rewards available soon over larger rewards delivered after a delay. However, it remains largely unknown how individual differences in structural brain development may be associated with impulsive choice during adolescence. Leveraging a unique large sample of 427 human youths (208 males and 219 females) imaged as part of the Philadelphia Neurodevelopmental Cohort, we examined associations between delay discounting and cortical thickness within structural covariance networks. These structural networks were derived using non-negative matrix factorization, an advanced multivariate technique for dimensionality reduction, and analyzed using generalized additive models with penalized splines to capture both linear and nonlinear developmental effects. We found that impulsive choice, as measured by greater discounting, was most strongly associated with diminished cortical thickness in structural brain networks that encompassed the ventromedial prefrontal cortex, orbitofrontal cortex, temporal pole, and temporoparietal junction. Furthermore, structural brain networks predicted DD above and beyond cognitive performance. Together, these results suggest that reduced cortical thickness in regions known to be involved in value-based decision-making is a marker of impulsive choice during the critical period of adolescence.SIGNIFICANCE STATEMENT Risky behaviors during adolescence, such as initiation of substance use or reckless driving, are a major source of morbidity and mortality. In this study, we present evidence from a large sample of youths that diminished cortical thickness in specific structural brain networks is associated with impulsive choice. Notably, the strongest association between impulsive choice and brain structure was seen in regions implicated in value-based decision-making; namely, the ventromedial prefrontal and orbitofrontal cortices. Moving forward, such neuroanatomical markers of impulsivity may aid in the development of personalized interventions targeted to reduce risk of negative outcomes resulting from impulsivity during adolescence.

Factor Structure and Psychometric Properties of the Peritraumatic and Posttraumatic Emotions Questionnaires Among Active Duty Military Personnel With Posttraumatic Stress Disorder.

The Peritraumatic Emotions Questionnaire (Peri-TEQ) and Posttraumatic Emotions Questionnaire (Post-TEQ) are self-report measures of emotions experienced during and after a traumatic event, respectively. The factor structure and psychometric properties of the Peri- and Post-TEQ were investigated among 474 military personnel with posttraumatic stress disorder (PTSD) following deployment. Exploratory factor analysis and confirmatory factor analysis were conducted to test the factor structure of the scales. Internal consistency, composite reliability, convergent validity, and discriminant validity were also assessed. Four factors were identified for the Peri-TEQ (Fear, Humiliation, Anger, and Sadness), and three factors were identified for the Post-TEQ (Fear, Anger-Hurt, and Humiliation). The full scales and all subscales demonstrated adequate-to-good internal consistency, Cronbach's αs = .722-.893. The subscales demonstrated adequate-to-good composite reliability, Cronbach's αs = .763-.861. The Peri- and Post-TEQ demonstrated good convergent validity with measures of PTSD symptoms, rs = .229-.601, ps < .001, and depressive symptoms, rs = .284-.470, ps < .001, and good discriminate validity with measures of resilience, ps = .116-.940, and unit cohesion, Peri-TEQ, p = .304 and Post-TEQ, r = -.123, p = .008. The Humiliation subscales demonstrated good convergent validity with guilt cognitions, rs = .315-.341, ps < .001, and the Anger subscales demonstrated good convergent validity with state anger, rs = .260-.347, ps < .001. The Peri- and Post-TEQ are reliable, valid self-report measures of emotions during and in response to remembering a trauma. The results support the use of these measures in research investigating trauma-related emotions.

The Influence of Posttraumatic Stress Disorder on Health Functioning in Active-Duty Military Service Members.

Researchers have suggested that posttraumatic stress disorder (PTSD) is associated with significant healthcare burden and utilization of medical services. The purpose of this study was to examine the impact of PTSD symptoms on health functioning among active-duty military personnel. Participants in the study were 366 treatment-seeking service members who had returned from deployment and were participating in a larger PTSD treatment study. Assessments included measures of PTSD symptom severity, combat experiences, life stress, health functioning, alcohol use, and depression. We hypothesized that at baseline, PTSD severity and its symptom clusters would be significantly associated with poorer physical and mental health functioning. We conducted separate hierarchical multiple regressions to examine the predictive contribution the hypothesized factors would have on the variance in physical and mental health scores. Consistent with previous literature, we found that PTSD severity was significantly associated with poorer mental health functioning, B = -0.25, SE = 0.08, ß = -0.15, t(342) = -3.07, R2 = .37, p = .002; however, contrary to our hypotheses, PTSD severity was not associated with poorer physical health functioning. Further, the hyperarousal symptom cluster was significantly associated with poorer physical health functioning, B = -0.83, SE = 0.26, ß = -0.18, t(340) = -3.16, R2 = .11, p = .002, but not mental health functioning. Limitations of our study included the use of self-report measures only and lack of objective measures. Future directions for study include examination of how health functioning perceptions change over a longer duration of PTSD symptoms and after treatment.

The effect of treatment on quality of life and functioning in OCD.

BACKGROUND: Given that obsessive compulsive disorder (OCD) is associated with impaired quality of life (QoL) and functioning, it is important examine whether therapeutic recovery from OCD leads to improvements on these important secondary outcomes. Only a few studies have examined how measures of OCD symptom severity relate to QoL and functioning among patients receiving treatment for OCD. METHODS: OCD severity was measured with the Obsessive-Compulsive Inventory-Revised (OCI-R), a self-report scale of OCD, and the Yale-Brown Obsessive Compulsive Scale (Y-BOCS), an interview measure of OCD. Participants were 100 adults with a primary diagnosis of OCD on serotonin reuptake inhibitors (SRIs) enrolled in a randomized clinical trial comparing SRI augmentation with either exposure and response prevention (EX/RP) therapy, risperidone, or pill placebo. At baseline, mid-treatment, and post-treatment, patients completed assessments for OCD symptoms and QoL/functioning measures. Multilevel modeling was used to assess changes in QoL/functioning over the course of treatment and to compare such changes across treatment conditions. RESULTS: Improvements in QoL/functioning were significantly greater among those receiving EX/RP compared to those receiving risperidone. Compared to pill placebo, EX/RP performed better on measures of functioning but not QoL. Greater improvement in individual OCI-R scores was associated with greater improvements in QoL/functioning, regardless of condition. In addition, Y-BOCS scores appeared to moderate improvements in QoL over the course of all treatment conditions, such that those with higher Y-BOCS scores showed the greatest improvements in QoL over time. CONCLUSIONS: Improvements in QoL/functioning were associated with reduction in OCD symptom severity. The implications on OCD treatment and clinical research are discussed.

Cognitive Emotion Regulation Strategies Associated With the DSM-5 Posttraumatic Stress Disorder Criteria.

Maladaptive cognitive emotion regulation strategies have been proposed to contribute to the maintenance of posttraumatic stress disorder (PTSD). Prior work has focused on the relationship between these strategies and PTSD as a whole, rather than on how they are related to each PTSD symptom cluster. The purpose of the current study was to determine whether cognitive emotion regulation strategies are predictive of certain PTSD symptom clusters under the Diagnostic and Statistical Manual of Mental Disorders 5th ed. (DSM-5; American Psychiatric Association, 2013) criteria (intrusive thoughts, avoidance, negative alterations in cognitions and mood, and hyperarousal). Participants included 365 treatment-seeking, active-duty military personnel with PTSD. The negative alterations in cognitions and mood cluster were associated with dysfunctional cognitions: greater negative cognitions about the self, negative cognitions about the world, and self-blame, as well as catastrophizing (Rc2 = .519). The negative alterations in cognitions and mood cluster did not show a strong relationship with blaming others, possibly due to the complex nature of self- and other-blame in this primarily deployment-related PTSD sample. Finally, the intrusive thoughts cluster was associated with catastrophizing (Rc2 = .211), suggesting an association between frequent intrusive memories and excessively negative interpretation of those memories.

The Moderating Effect of State Anger on Treatment Outcome in Female Adolescents With PTSD.

Trauma experienced in childhood and adolescence negatively affects the development of adaptive regulation of emotions and is associated with greater symptoms of anger. Prior research has suggested that high levels of anger may impede the outcome of treatment in adults with posttraumatic stress disorder (PTSD). The current study investigated whether high levels of anger resulted in poorer treatment outcomes in adolescent girls with PTSD. Participants included 61 female adolescent survivors of sexual abuse or assault who were randomized to either prolonged exposure for adolescents (PE-A) or client-centered therapy (CCT) for traumatized children for 8-14 weekly sessions. Participants were followed for 12 months posttreatment. High levels of state anger at baseline were associated with less improvement in PTSD symptoms in the CCT group than the PE-A group (d = 0.62). The moderating effects of state anger on improvement in PTSD symptoms was significant with emotion regulation difficulties, which may underlie anger symptoms (d = 0.58) in the model. The results of this study suggessted that high state anger was less of an impediment to treatment of PTSD for those receiving PE-A than those receiving less differentiated approaches such as CCT.

Treatment of Adolescent PTSD: The Impact of Prolonged Exposure Versus Client-Centered Therapy on Co-Occurring Emotional and Behavioral Problems.

The present study evaluated secondary emotional and behavioral outcomes among adolescents who received prolonged exposure (PE-A) or client-centered therapy (CCT) for posttraumatic stress disorder (PTSD) in a randomized controlled trial. Participants were 61 adolescent girls (age: M = 15.33, SD = 1.50 years) with sexual abuse related PTSD seeking treatment at a community mental health clinic. Multilevel modeling was employed to evaluate group differences on the Youth Self-Report (YSR) over acute treatment and 12-month follow-up. Both treatment groups showed significant improvements on all YSR scales from baseline to 12-month follow-up. Adolescents who received PE-A showed significantly greater reductions than those receiving CCT on the Externalizing subscale (d = 0.70), rule-breaking behavior (d = 0.63), aggressive behavior (d = 0.62), and conduct problems (d = 0.78). No treatment differences were found on the Internalizing subscale or among other YSR problem areas. Both PE-A and CCT effectively reduced many co-occurring problems among adolescents with PTSD. Although PE-A focuses on PTSD and not on disruptive behaviors, PE-A was associated with greater sustained changes in externalizing symptoms, supporting broad effects of trauma-focused treatment on associated problem areas.

Emotion regulation strategies as moderators of the relationship between negative life events and trait anxiety.

BACKGROUND: Anxiety commonly occurs after experiencing negative life events. However, the role of emotion regulation strategies in moderating the relationship between negative life events and anxiety remains unclear. The current study 1) examines the associations between emotion regulation strategies and trait anxiety, and 2) explores whether the relationship between negative life events and trait anxiety is moderated by emotion regulation strategies, in particular, adaptative strategies such as cognitive reappraisal. METHODS: We used data from 1384 adolescents and young adults (ages 12-27) who completed measures of negative life events, emotion regulation strategies, and trait anxiety. Emotion regulation was measured using the Emotion Regulation Questionnaire and the Difficulties in Emotion Regulation Scale - Short Form. RESULTS: Multiple regression analyses showed that limited access to emotion regulation strategies, difficulty engaging in goal-directed behavior, lack of emotional awareness, lack of emotional clarity, nonacceptance of emotional responses, and use of cognitive reappraisal were associated with trait anxiety. Additionally, the positive association between negative life events and trait anxiety was moderated by difficulty engaging in goal-directed behavior and use of cognitive reappraisal. Sex differences were apparent for difficulty engaging in goal-directed behavior. Age-based analyses revealed that these interactions were specific to young adults. LIMITATIONS: Limitations include a cross-sectional design and reliance on self-report measures. CONCLUSIONS: Less use of adaptive emotion regulation strategies was associated with greater trait anxiety. Further, the relationship between negative life events and trait anxiety in young adults may depend on one's ability to engage in goal-directed behavior and use cognitive reappraisal.

Concurrent and longitudinal neurostructural correlates of irritability in children.

Irritability, or an increased proneness to frustration and anger, is common in youth; however, few studies have examined neurostructural correlates of irritability in children. The purpose of the current study was to examine concurrent and longitudinal associations between brain structure and irritability in a large sample of 9-10-year-old children. Participants included 10,647 children from the Adolescent Brain Cognitive Developmentsm Study (ABCD Study®). We related a latent irritability factor to gray matter volume, cortical thickness, and surface area in 68 cortical regions and to gray matter volume in 19 subcortical regions using structural equation modeling. Multiple comparisons were adjusted for using the false discovery rate (FDR). After controlling for age, sex, race/ethnicity, scanner model, parent's highest level of education, medication use, and total intracranial volume, irritability was associated with smaller volumes in primarily temporal and parietal regions at baseline. Longitudinal analyses showed that baseline gray matter volume did not predict irritability symptoms at the 3rd-year follow-up. No significant associations were found for cortical thickness or surface area. The current study demonstrates inverse associations between irritability and volume in regions implicated in emotional processing/social cognition, attention allocation, and movement/perception. We advance prior research by demonstrating that neurostructural differences associated with irritability are already apparent by age 9-10 years, extending this work to children and supporting theories positing socioemotional deficits as a key feature of irritability.

Early life stress and functional network topology in children.

Brain networks are continuously modified throughout development, yet this plasticity can also make functional networks vulnerable to early life stress. Little is currently known about the effect of early life stress on the functional organization of the brain. The current study investigated the association between environmental stressors and network topology using data from the Adolescent Brain Cognitive DevelopmentSM (ABCD®) Study. Hierarchical modeling identified a general factor of environmental stress, representing the common variance across multiple stressors, as well as four subfactors including familial dynamics, interpersonal support, neighborhood SES deprivation, and urbanicity. Functional network topology metrics were obtained using graph theory at rest and during tasks of reward processing, inhibition, and affective working memory. The general factor of environmental stress was associated with less specialization of networks, represented by lower modularity at rest. Local metrics indicated that general environmental stress was also associated with less efficiency in the subcortical-cerebellar and visual networks while showing greater efficiency in the default mode network at rest. Subfactors of environmental stress were associated with differences in specialization and efficiency in select networks. The current study illustrates that a wide range of stressors in a child's environment are associated with differences in brain network topology.

Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can oversimplify clinical presentations as diagnoses often do not adequately map onto neurobiological features. Alternatively, our study used structural imaging data and a semisupervised machine learning technique, heterogeneity through discriminative analysis, to identify neurobiological subtypes in 9- to 10-year-olds with high psychopathology endorsements (n = 9,027). Our model revealed two stable neurobiological subtypes (adjusted Rand index = 0.38). Subtype 1 showed smaller structural properties, elevated conduct problems and attention-deficit/hyperactivity disorder symptoms, and impaired cognitive performance compared to Subtype 2 and typically developing youth. Subtype 2 had larger structural properties, cognitive abilities comparable to typically developing youth, and elevated internalizing symptoms relative to Subtype 1 and typically developing youth. These subtypes remained stable in their neurobiological characteristics, cognitive ability, and associated psychopathology traits over time. Taken together, our data-driven approach uncovered evidence of neural heterogeneity as demonstrated by structural patterns that map onto divergent profiles of psychopathology symptoms and cognitive performance in youth. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working Group.

OBJECTIVE: Specific phobia is a common anxiety disorder, but the literature on associated brain structure alterations exhibits substantial gaps. The ENIGMA Anxiety Working Group examined brain structure differences between individuals with specific phobias and healthy control subjects as well as between the animal and blood-injection-injury (BII) subtypes of specific phobia. Additionally, the authors investigated associations of brain structure with symptom severity and age (youths vs. adults). METHODS: Data sets from 31 original studies were combined to create a final sample with 1,452 participants with phobia and 2,991 healthy participants (62.7% female; ages 5-90). Imaging processing and quality control were performed using established ENIGMA protocols. Subcortical volumes as well as cortical surface area and thickness were examined in a preregistered analysis. RESULTS: Compared with the healthy control group, the phobia group showed mostly smaller subcortical volumes, mixed surface differences, and larger cortical thickness across a substantial number of regions. The phobia subgroups also showed differences, including, as hypothesized, larger medial orbitofrontal cortex thickness in BII phobia (N=182) compared with animal phobia (N=739). All findings were driven by adult participants; no significant results were observed in children and adolescents. CONCLUSIONS: Brain alterations associated with specific phobia exceeded those of other anxiety disorders in comparable analyses in extent and effect size and were not limited to reductions in brain structure. Moreover, phenomenological differences between phobia subgroups were reflected in diverging neural underpinnings, including brain areas related to fear processing and higher cognitive processes. The findings implicate brain structure alterations in specific phobia, although subcortical alterations in particular may also relate to broader internalizing psychopathology.

Multivariate analytical approaches for investigating brain-behavior relationships.

Background: Many studies of brain-behavior relationships rely on univariate approaches where each variable of interest is tested independently, which does not allow for the simultaneous investigation of multiple correlated variables. Alternatively, multivariate approaches allow for examining relationships between psychopathology and neural substrates simultaneously. There are multiple multivariate methods to choose from that each have assumptions which can affect the results; however, many studies employ one method without a clear justification for its selection. Additionally, there are few studies illustrating how differences between methods manifest in examining brain-behavior relationships. The purpose of this study was to exemplify how the choice of multivariate approach can change brain-behavior interpretations. Method: We used data from 9,027 9- to 10-year-old children from the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®) to examine brain-behavior relationships with three commonly used multivariate approaches: canonical correlation analysis (CCA), partial least squares correlation (PLSC), and partial least squares regression (PLSR). We examined the associations between psychopathology dimensions including general psychopathology, attention-deficit/hyperactivity symptoms, conduct problems, and internalizing symptoms with regional brain volumes. Results: The results of CCA, PLSC, and PLSR showed both consistencies and differences in the relationship between psychopathology symptoms and brain structure. The leading significant component yielded by each method demonstrated similar patterns of associations between regional brain volumes and psychopathology symptoms. However, the additional significant components yielded by each method demonstrated differential brain-behavior patterns that were not consistent across methods. Conclusion: Here we show that CCA, PLSC, and PLSR yield slightly different interpretations regarding the relationship between child psychopathology and brain volume. In demonstrating the divergence between these approaches, we exemplify the importance of carefully considering the method's underlying assumptions when choosing a multivariate approach to delineate brain-behavior relationships.

Atypical Functional Network Properties and Associated Dimensions of Child Psychopathology During Rest and Task Performance.

Background: When brain networks deviate from typical development, this is thought to contribute to varying forms of psychopathology. However, research has been limited by the reliance on discrete diagnostic categories that overlook the potential for psychological comorbidity and the dimensional nature of symptoms. Methods: This study examined the topology of functional networks in association with 4 bifactor-defined psychopathology dimensions-general psychopathology, internalizing symptoms, conduct problems, and attention-deficit/hyperactivity disorder symptoms-via the Child Behavior Checklist in a sample of 3568 children from the ABCD (Adolescent Brain Cognitive Development) Study. Local and global graph theory metrics were calculated at rest and during tasks of reward processing, inhibition, and working memory. Results: Greater attention-deficit/hyperactivity disorder symptoms were associated with reduced modularity across rest and tasks as well as reduced local efficiency in motor networks at rest. Results survived sensitivity analyses for medication and socioeconomic status. Greater conduct problem symptoms were associated with reduced modularity on working memory and reward processing tasks; however, these results did not persist after sensitivity analyses. General psychopathology and internalizing symptoms showed no significant network associations. Conclusions: Our findings suggest reduced efficiency in topology in those with greater attention-deficit/hyperactivity disorder symptoms across 4 critical cognitive states, with conduct problems also showing network deficits, although less consistently. This may suggest that modularity deficits are a neurobiological marker of externalizing behavior in children. Such specificity has not been demonstrated before using graph theory metrics and has the potential to redefine our understanding of network deficits in children with psychopathology symptoms.

General and Specific Factors of Environmental Stress and Their Associations With Brain Structure and Dimensions of Psychopathology.

Background: Early-life stressors can adversely affect the developing brain. While hierarchical modeling has established the existence of a general factor of psychopathology, no studies have modeled a general factor of environmental stress and related this factor to brain development. Using a large sample of children from the ABCD (Adolescent Brain Cognitive Development) Study, the current study aimed to identify general and specific factors of environmental stress and test their associations with brain structure and psychopathology. Methods: In a sample of 11,878 children, bifactor modeling and higher-order (second-order) modeling identified general and specific factors of environmental stress: family dynamics, interpersonal support, neighborhood socioeconomic status deprivation, and urbanicity. Structural equation modeling was performed to examine associations between these factors and regional gray matter volume (GMV) and cortical thickness as well as general and specific factors of psychopathology. Results: The general environmental stress factor was associated with globally smaller cortical and subcortical GMV as well as thinner cortices across widespread regions. Family dynamics and neighborhood socioeconomic status deprivation were associated with smaller GMV in focal regions. Urbanicity was associated with larger cortical and subcortical GMV and thicker cortices in frontotemporal regions. The environmental factors were associated with psychopathology in the expected directions. The general factors of environmental stress and psychopathology were both predictors of smaller GMV in children, while remaining distinct from each other. Conclusions: This study reveals a unifying model of environmental influences that illustrates the inherent organization of environmental stressors and their relationship to brain structure and psychopathology.