Bottom-Up and Top-Down Paradigms for Psychopathology: A Half-Century Odyssey

Does Grit Compensate for Family Background Disadvantage in Predicting Mental Health Difficulties? A Longitudinal Study of Chinese Migrant and Urban Children

The significant population of Chinese rural-to-urban migrant children has sparked considerable domestic and international concern regarding their disadvantaged family circumstances and their escalating prevalence of internalizing and externalizing problems. Derived from the resource substitution hypothesis, non-cognitive factors such as personality traits may act as "substitution" resources for educational outcomes of children from less privileged families. Yet, the compensatory role of personality traits as substitution resources in children's mental health has received limited attention, including that of migrant children. This study examined the interplay of trait-like grit and family SES on emotional and conduct problems among Chinese migrant and urban children. The current sample consisted of 770 migrant children (Mage = 10.45 and SDage = 0.68 years; 38.4% girls) and their 222 urban counterparts (Mage = 10.34 and SDage = 0.46 years; 45.5% girls). Moderated polynomial regressions with response surface analysis on a two-wave data with an interval of over six months showed that grit served as a "substitution" resource for the less socioeconomically advantaged children. The compensatory effect of perseverance of effort on urban children's emotional problems and that of consistency of interest on migrant children's conduct problems were visualized. Moreover, the two compensatory effects were found to be robust and unique, even after children's effortful control, a grit-related construct, was taken into account. These findings not only support the resource substitution hypothesis, but also underscore the protective role that grit plays in children under less privileged environments.

A Developmentally Informed Systematic Review and Meta-Analysis of the Strength of General Psychopathology in Childhood and Adolescence

Considerable support exists for higher-order dimensional conceptualizations of psychopathology in adults. A growing body of work has focused on understanding the structure of general and specific psychopathology in children and adolescents. No prior meta-analysis has examined whether the strength of the general psychopathology factor (p factor)-measured by explained common variance (ECV)-changes from childhood to adolescence. The primary objective of this multilevel meta-analysis was to determine whether general psychopathology strength changes across development (i.e. across ages) in childhood and adolescence. Several databases were searched in November 2021; 65 studies, with 110 effect sizes (ECV), nested within shared data sources, were identified. Included empirical studies used a factor analytic modeling approach that estimated latent factors for child/adolescent internalizing, externalizing, and optionally thought-disordered psychopathology, and a general factor. Studies spanned ages 2-17 years. Across ages, general psychopathology explained over half (~ 56%) of the reliable variance in symptoms of psychopathology. Age-moderation analyses revealed that general factor strength remained stable across ages, suggesting that general psychopathology strength does not significantly change across childhood to adolescence. Even if the structure of psychopathology changes with development, the prominence of general psychopathology across development has important implications for future research and intervention.

Future Directions: The Phenomenology of Irritable Mood and Outbursts: Hang Together or Hang Separately1

Recognition of the importance of irritable mood and outbursts has been increasing over the past several decades. This "Future Directions" aims to develop a set of recommendations for future research emphasizing that irritable mood and outbursts "hang together," but have important distinctions and thus also need to "hang separately." Outbursts that are the outcome of irritable mood may be quite different from outbursts that are the trigger or driving force that make youth and his/her environment miserable. What, then, is the relation between irritable mood and outbursts? As the field currently stands, we not only cannot answer this question, but we may also lack the tools to effectively do so. Here, we will propose recommendations for understanding the phenomenology of irritable mood and outbursts so that more directed and clinically useful assessment tools can be designed. We discuss the transdiagnostic and treatment implications that relate to improvements in measurement. We describe the need to do more than repurpose our current assessment tools, specifically interviews and rating scales, which were designed for different purposes. The future directions of the study and treatment of irritable mood and outbursts will require, among others, using universally accepted nomenclature, supporting the development of tools to measure the characteristics of each irritable mood and outbursts, understanding the effects of question order, informant, development and longitudinal course, and studying the ways in which outbursts and irritable mood respond to treatment.

The Affective Side of Disruptive Behavior: Toward Better Understanding, Assessment, and Treatment

Historically, much of the progress made in youth mental health research can be classified as focusing on externalizing problems, characterized by disruptive behavior (e.g. aggression, defiance), or internalizing problems, characterized by intense negative affect (e.g. depression, anxiety). Until recently, however, less attention has been given to topics that lie somewhere in between these domains, topics that we collectively refer to as the affective side of disruptive behavior. Like the far side of the moon, the affective side of disruptive behavior captures facets of the phenomenon that may be less obvious or commonly overlooked, but are nonetheless critical to understand. This affective side clarifies socially disruptive aspects of traditionally "externalizing" behavior by elucidating proximal causation via intense negative affect (traditionally "internalizing"). Such problems include irritability, frustration, anger, temper loss, emotional outbursts, and reactive aggression. Given a recent explosion of research in these areas, efforts toward integration are now needed. This special issue was developed to help address this need. Beyond the present introductory article, this collection includes 4 empirical articles on developmental psychopathology topics, 4 empirical articles on applied treatment/assessment topics, 1 evidence base update review article on measurement, and 2 future directions review articles concerning outbursts, mood, dispositions, and youth psychopathology more broadly. By deliberatively investigating the affective side of disruptive behavior, we hope these articles will help bring about better understanding, assessment, and treatment of these challenging problems, for the benefit of youth and families.

Developmental psychopathology as a meta-paradigm: From zero-sum science to epistemological pluralism in theory and research

In a thoughtful commentary in this journal a decade ago, Michael Rutter reviewed 25 years of progress in the field before concluding that developmental psychopathology (DP) initiated a paradigm shift in clinical science. This deduction requires that DP itself be a paradigm. According to Thomas Kuhn, canonical paradigms in the physical sciences serve unifying functions by consolidating scientists' thinking and scholarship around single, closed sets of discipline-defining epistemological assumptions and methods. Paradigm shifts replace these assumptions and methods with a new field-defining framework. In contrast, the social sciences are multiparadigmatic, with thinking and scholarship unified locally around open sets of epistemological assumptions and methods with varying degrees of inter-, intra-, and subdisciplinary reach. DP challenges few if any of these local paradigms. Instead, DP serves an essential pluralizing function, and is therefore better construed as a metaparadigm. Seen in this way, DP holds tremendous untapped potential to move the field from zero-sum thinking and scholarship to positive-sum science and epistemological pluralism. This integrative vision, which furthers Dante Cicchetti's legacy of interdisciplinarity, requires broad commitment among scientists to reject zero-sum scholarship in which portending theories, useful principles, and effective interventions are jettisoned based on confirmation bias, errors in logic, and ideology.

Psychosis superspectrum II: neurobiology, treatment, and implications

Alternatives to traditional categorical diagnoses have been proposed to improve the validity and utility of psychiatric nosology. This paper continues the companion review of an alternative model, the psychosis superspectrum of the Hierarchical Taxonomy of Psychopathology (HiTOP). The superspectrum model aims to describe psychosis-related psychopathology according to data on distributions and associations among signs and symptoms. The superspectrum includes psychoticism and detachment spectra as well as narrow subdimensions within them. Auxiliary domains of cognitive deficit and functional impairment complete the psychopathology profile. The current paper reviews evidence on this model from neurobiology, treatment response, clinical utility, and measure development. Neurobiology research suggests that psychopathology included in the superspectrum shows similar patterns of neural alterations. Treatment response often mirrors the hierarchy of the superspectrum with some treatments being efficacious for psychoticism, others for detachment, and others for a specific subdimension. Compared to traditional diagnostic systems, the quantitative nosology shows an approximately 2-fold increase in reliability, explanatory power, and prognostic accuracy. Clinicians consistently report that the quantitative nosology has more utility than traditional diagnoses, but studies of patients with frank psychosis are currently lacking. Validated measures are available to implement the superspectrum model in practice. The dimensional conceptualization of psychosis-related psychopathology has implications for research, clinical practice, and public health programs. For example, it encourages use of the cohort study design (rather than case-control), transdiagnostic treatment strategies, and selective prevention based on subclinical symptoms. These approaches are already used in the field, and the superspectrum provides further impetus and guidance for their implementation. Existing knowledge on this model is substantial, but significant gaps remain. We identify outstanding questions and propose testable hypotheses to guide further research. Overall, we predict that the more informative, reliable, and valid characterization of psychopathology offered by the superspectrum model will facilitate progress in research and clinical care.

The dynamics of psychological attributes and symptomatic comorbidity of depression in children and adolescents

PURPOSE

This investigation aimed to explore attribute dynamics and symptomatic comorbidity of depression with internalizing, externalizing, and other personal-contextual problems in children and adolescents from a network analysis.

METHODS

We tested an attribute network of regularized partial correlations, standard and alternative centrality measures, and comorbidity bridge symptoms according to centrality bridge measures.

RESULTS

Regularized partial correlation network and a centrality measures graph shown the prominent position of social problems and anxiety-depression. Minimum spanning tree (MST) found a hierarchical dynamics between attributes where mixed anxiety-depression was identified as the core and the other attributes were hierarchically connected to it by being positioned in six branches that are differentiated according to their theoretical contents. The most central connections are established with the attributes of their own community or theoretical groups, and 37 bridge symptoms were identified in all networks.

CONCLUSIONS

A significant role of mixed anxiety depression as an activator and intermediary of psychopathologies was supported as a central attribute of internalizing problems. Aggressive behavior as part of the broad externalizing dimension was one of the constructs that most intensively activate the network, and social problems were also distinguished as a relevant factor not only in terms of connections and central attributes but also in terms of bridge symptoms and comorbidity. This framework extends to the study of symptomatic "comorbidity."

Prevalence of externalising disorder comorbidities in adolescents: a systematic review and meta-analysis protocol

INTRODUCTION

Externalising disorders are some of the most prevalent problems in childhood and particularly during adolescence that can change into more severe psychopathology in adulthood if left unattended. In the research literature, these disorders include attention deficit/hyperactivity disorder, oppositional/defiant disorder, conduct disorder and substance use disorders. The comorbidity prevalence of these disorders is significant and cannot be considered a random factor. The dimensional structure of psychopathology has always been studied by researchers to address disorder comorbidities and aetiology. There has always been controversy over the number of spectra and the lower levels. Currently, the new top-down, Hierarchical Taxonomy of Psychopathology model conceptualising psychopathology is being used, which is a dimensional classification system for the different spectra of psychopathology based on a combination of conceptual modelling and factor analysis of symptoms. This systematic review investigates the comorbidity prevalence of spectra of externalising disorders to provide valuable information and feedback on this model.

METHODS AND ANALYSIS

This systematic review will include all the studies conducted from 1/1/1990 to 1/12/2020 to examine the prevalence and comorbidity of each of the externalising disorders in the general population, schools and outpatients using any instrument (questionnaires or interviews). There will be no language restrictions in selecting the studies. The studies are age restricted and must be conducted on adolescents only, but there are no restrictions on the gender and nationality of the participants.

ETHICS AND DISSEMINATION

This systematic review is based on previously published articles and therefore will not require ethical approval. The results of the systematic review will be disseminated as publication in a peer-reviewed journal and conference presentation.

PROSPERO REGISTRATION NUMBER

CRD42022327629.

Conceptualizing anxiety and depression in children and adolescents: a latent factor and network analysis

The objective of this study is to gain insight into the inherent structure of anxiety and depressive symptoms by combining the strengths of latent factor analysis and network analysis. The sample comprised 743 children and adolescents aged 4–18 years (M = 11.64, SD = 3.66, 61% males) who sought routine care outpatient psychotherapy. Parents or primary caregivers rated anxiety and depressive symptoms of their children on a DSM-5-/ICD-10-based symptom checklist. First, we analyzed the factor structure of the internalizing symptoms using exploratory factor analysis (EFA). Next, we conducted a network analysis and identified central and bridge symptoms that may explain comorbidity between anxiety disorders and depression. We then employed exploratory graph analysis (EGA) as an alternative tool within the framework of network psychometrics to estimate the number of dimensions (i.e., communities within a network). Finally, we tested a model based on these results using confirmatory factor analysis. The results demonstrate a complex interplay between anxiety and depressive symptom domains. Four factors/communities were identified by EFA and EGA, but the item-community allocation differed, and the interpretation of factors/communities was unclear. A clear distinction between these domains could not be supported. However, associations within a domain were stronger than associations between the two domains. We identified pain, suicidal, irritable, and afraid of adults as bridge items between the symptom domains. In conclusion, our findings further advance the general understanding of the frequently reported co-occurrence of anxiety and depressive symptoms and diagnoses in clinical practice. Identifying bridge symptoms may inform intervention practices by targeting specific symptoms that contribute to the maintenance of anxious and depressive behaviors.

The joint hierarchical structure of psychopathology and dysfunctional personality domain indicators among community-dwelling adults

To examine the hierarchical structure of psychopathology and dysfunctional personality domains, 2416 Italian community-dwelling adult volunteers were administered a set of psychometrically sound psychopathology measures and the Personality Inventory for DSM-5 Brief Form+ (PID-5-BF+). Parallel analysis, minimum average partial, and very simple structure results suggested that 1-6 principal components (PCs) should be retained. Goldberg's bass-ackwards model of the joint psychopathology measure and PID-5-BF+ ipsatized domain scale correlation matrix evidenced a hierarchical structure that was consistent with the working model proposed by the Hierarchical Taxonomy of Psychopathology (HiTOP) consortium. Hierarchical agglomerative cluster analysis around latent variables of the psychopathology indicators and PID-5-BF+ domain scales recovered four latent dimensions, which were akin to the corresponding bass-ackwards components and nicely reproduced the HiTOP Internalizing, Externalizing, Thought Disorder, and Eating Pathology dimensions.

The Operations Triad Model and Youth Mental Health Assessments: Catalyzing a Paradigm Shift in Measurement Validation

Researchers strategically assess youth mental health by soliciting reports from multiple informants. Typically, these informants (e.g., parents, teachers, youth themselves) vary in the social contexts where they observe youth. Decades of research reveal that the most common data conditions produced with this approach consist of discrepancies across informants' reports (i.e., informant discrepancies). Researchers should arguably treat these informant discrepancies as domain-relevant information: data relevant to understanding youth mental health domains (e.g., anxiety, depression, aggression). Yet, historically, in youth mental health research as in many other research areas, one set of paradigms has guided interpretations of informant discrepancies: Converging Operations and the Multi-Trait Multi-Method Matrix (MTMM). These paradigms (a) emphasize shared or common variance observed in multivariate data, and (b) inspire research practices that treat unique variance (i.e., informant discrepancies) as measurement confounds, namely random error and/or rater biases. Several yearsw ago, the Operations Triad Model emerged to address a conceptual problem that Converging Operations does not address: Some informant discrepancies might reflect measurement confounds, whereas others reflect domain-relevant information. However, addressing this problem requires more than a conceptual paradigm shift beyond Converging Operations. This problem necessitates a paradigm shift in measurement validation. We advance a paradigm (Classifying Observations Necessitates Theory, Epistemology, and Testing [CONTEXT]) that addresses problems with using the MTMM in youth mental health research. CONTEXT optimizes measurement validity by guiding researchers to leverage (a) informants that produce domain-relevant informant discrepancies, (b) analytic procedures that retain domain-relevant informant discrepancies, and (c) study designs that facilitate detecting domain-relevant informant discrepancies.

Problem checklists and standardized diagnostic interviews: evidence of psychometric equivalence for classifying psychiatric disorder among children and youth in epidemiological studies

BACKGROUND

The standard approach for classifying child/youth psychiatric disorder as present or absent in epidemiological studies is lay-administered structured, standardized diagnostic interviews (interviews) based on categorical taxonomies such as the DSM and ICD. Converting problem checklist scale scores (checklists) to binary classifications provides a simple, inexpensive alternative.

METHODS

Using assessments obtained from 737 parents, we determine if child/youth behavioral, attentional, and emotional disorder classifications based on checklists are equivalent psychometrically to interview classifications. We test this hypothesis by (1) comparing their test-retest reliabilities based on kappa (κ), (2) estimating their observed agreement at times 1 and 2, and (3) in structural equation models, comparing their strength of association with clinical status and reported use of prescription medication to treat disorder. A confidence interval approach is used to determine if parameter differences lie within the smallest effect size of interest set at ±0.125.

RESULTS

The test-retest reliabilities (κ) for interviews compared with checklists met criteria for statistical equivalence: behavioral, .67 and .70; attentional, .64 and .66; and emotional, .61 and .65. Observed agreement between the checklist and interviews on classifications of disorder at times 1 and 2 was, on average, κ = .61. On average, the β coefficients estimating associations with clinical status were .59 (interviews) and .63 (checklists); and with prescription medication use, .69 (interviews) and .71 (checklists). Behavioral and attentional disorders met criteria for statistical equivalence. Emotional disorder did not, although the coefficients were stronger numerically for the checklist.

CONCLUSIONS

Classifications of child/youth psychiatric disorder from parent-reported checklists and interviews are equivalent psychometrically. The practical advantages of checklists over interviews for classifying disorder (lower administration cost and respondent burden) are enhanced by their ability to measure disorder dimensionally. Checklists provide an option to interviews in epidemiological studies of common child/youth psychiatric disorders.

Attention-Deficit/Hyperactivity Disorder: Restricted Phenotypes Prevalence, Comorbidity, and Polygenic Risk Sensitivity in the ABCD Baseline Cohort

OBJECTIVE

To evaluate the prevalence and major comorbidities of ADHD using different operational definitions in a newly available national dataset and to test the utility of operational definitions against genetic and cognitive correlates.

METHOD

The US Adolescent Brain Cognitive Development (ABCD) Study enrolled 11,878 children aged 9-10 years at baseline. ADHD prevalence, comorbidity, and association with polygenic risk score and laboratory-assessed executive functions were calculated at 4 thresholds of ADHD phenotype restrictiveness. Bias from missingness, sampling, and nesting were addressed statistically.

RESULTS

Prevalence of current ADHD for 9- to 10-year old children was 3.53% (95% CI 3.14%-3.92%) when Computerized Schedule for Affective Disorders and Schizophrenia for School-Age Children (K-SADS-COMP) score and parent and teacher ratings were required to converge. Of ADHD cases so defined, 70% had a comorbid psychiatric disorder. After control for overlapping comorbidity and ruling out for psychosis or low IQ, 30.9% (95% CI 25.7%-36.7%) had a comorbid disruptive behavior disorder, 27.4% (95% CI 22.3%-33.1%) had an anxiety or fear disorder, and 2.1% (95% CI 1.2%-3.8%) had a mood disorder. Children in the top decile of polygenic load incurred a 63% increased chance of having ADHD vs the bottom half of polygenic load (p < .01)-an effect detected only with a stringent phenotype definition. Dimensional latent variables for irritability, externalizing, and ADHD yielded convergent results for cognitive correlates.

CONCLUSION

This fresh estimate of national prevalence of ADHD in the United States suggests that the DSM-5 definition requiring multiple informants yields a prevalence of about 3.5%. Results may inform further ADHD studies in the ABCD sample.

Conceptual, methodological, and measurement factors that disqualify use of measurement invariance techniques to detect informant discrepancies in youth mental health assessments

On page 1 of his classic text, Millsap (2011) states, “Measurement invariance is built on the notion that a measuring device should function the same way across varied conditions, so long as those varied conditions are irrelevant [emphasis added] to the attribute being measured.” By construction, measurement invariance techniques require not only detecting varied conditions but also ruling out that these conditions inform our understanding of measured domains (i.e., conditions that do not contain domain-relevant information). In fact, measurement invariance techniques possess great utility when theory and research inform their application to specific, varied conditions (e.g., cultural, ethnic, or racial background of test respondents) that, if not detected, introduce measurement biases, and, thus, depress measurement validity (e.g., academic achievement and intelligence). Yet, we see emerging bodies of work where scholars have “put the cart before the horse” when it comes to measurement invariance, and they apply these techniques to varied conditions that, in fact, may reflect domain-relevant information. These bodies of work highlight a larger problem in measurement that likely cuts across many areas of scholarship. In one such area, youth mental health, researchers commonly encounter a set of conditions that nullify the use of measurement invariance, namely discrepancies between survey reports completed by multiple informants, such as parents, teachers, and youth themselves (i.e., informant discrepancies). In this paper, we provide an overview of conceptual, methodological, and measurement factors that should prevent researchers from applying measurement invariance techniques to detect informant discrepancies. Along the way, we cite evidence from the last 15 years indicating that informant discrepancies reflect domain-relevant information. We also apply this evidence to recent uses of measurement invariance techniques in youth mental health. Based on prior evidence, we highlight the implications of applying these techniques to multi-informant data, when the informant discrepancies observed within these data might reflect domain-relevant information. We close by calling for a moratorium on applying measurement invariance techniques to detect informant discrepancies in youth mental health assessments. In doing so, we describe how the state of the science would need to fundamentally “flip” to justify applying these techniques to detect informant discrepancies in this area of work.

How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology

We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youth (Ns = 2119, 303, 592) for whom three informants reported on the youth's psychopathology (e.g., child, parent, teacher). Empirical support for the p-factor diminished in multi-informant models compared with mono-informant models: the correlation between externalizing and internalizing factors decreased and the general factor in bifactor models essentially reflected externalizing. Widely used MTMM-informed approaches for modeling multi-informant data cannot distinguish between competing interpretations of the patterns of effects we observed, including that the p-factor reflects, in part, evaluative consistency bias or that psychopathology manifests differently across contexts (e.g., home vs. school). Ultimately, support for the p-factor may be stronger in mono-informant designs, although it is does not entirely vanish in multi-informant models. Instead, the general factor of psychopathology in any given mono-informant model likely reflects a complex mix of variances, some substantive and some methodological.

Empirically based dimensions of externalizing symptoms in children and adolescents: a multitrait-multisource approach

The present study sought to refine knowledge about the structure underlying externalizing dimensions. From a “top-down” ICD/DSM-based perspective, externalizing symptoms can be categorized into attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD), and conduct disorder (CD). From a “bottom-up” developmental theory-based perspective, disruptive behaviors can be meaningfully described as aggressive (AGG) and rule-breaking (RB) behaviors. We analyzed five large data sets comprising externalizing symptom ratings obtained with a screening instrument using different sources (parents, teachers, self-ratings) from different samples. Using confirmatory factor analyses, we evaluated several factor models (unidimensional; correlated factors; bifactor (S-1) models) derived from an ICD/DSM- and theory-based perspective. Our optimally fitting models were assessed for measurement invariance across all sources, sample settings, and sex. Following several model-based criteria (model fit indices; factor loadings; omega statistics; model parsimony), we discarded our models stepwise and concluded that both the ICD/DSM-based model with three correlated factors (ADHD, ODD, CD) and the developmental theory-based model with three correlated factors (ADHD, AGG, RB) displayed a statistically sound factor structure and allowed for straightforward interpretability. Furthermore, these two models demonstrated metric invariance across all five samples and across sample settings (community, clinical), as well as scalar invariance across sources and sex. While the dimensions AGG and RB may depict a more empirically coherent view than the categorical perspective of ODD and CD, at this point we cannot clearly determine whether one perspective really outperforms the other. Implications for model selection according to our model-based criteria and clinical research are discussed.

Parental sensitivity and child behavioral problems: A meta-analytic review

Meta-analytic associations between observed parental sensitivity and child behavioral problems were examined (children aged 0-17 years). Studies (k = 108, N = 28,114) contained sociodemographically diverse samples, primarily from North America and Europe, reporting on parent-child dyads (95% mothers; 54% boys). Sensitivity significantly related to internalizing (k = 69 studies; N = 14,729; r = -.08, 95% CI [-.12, -.05]) and externalizing (k = 94; N = 25,418; r = -.14, 95% CI [-.17, -.11]) problems, with stronger associations found for externalizing. For internalizing problems, associations were significantly stronger among samples with low socioeconomic status (SES) versus mid-high SES, in peer-reviewed versus unpublished dissertations, and in studies using composite versus single scale sensitivity measures. No other moderators emerged as significant.

A Hierarchical Taxonomy of Psychopathology (HiTOP) Primer for Mental Health Researchers

Mental health research is at an important crossroads as the field seeks more reliable and valid phenotypes to study. Dimensional approaches to quantifying mental illness operate outside the confines of traditional categorical diagnoses, and they are gaining traction as a way to advance research on the causes and consequences of mental illness. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a leading dimensional research paradigm that synthesizes decades of data on the major dimensions of psychological disorders. In this article, we demonstrate how to use the HiTOP model to formulate and test research questions through a series of tutorials. To boost accessibility, data and annotated code for each tutorial are included at OSF (https://osf.io/8myzw). After presenting the tutorials, we outline how investigators can use these ideas and tools to generate new insights in their own substantive research programs.

The Hierarchical Taxonomy of Psychopathology (HiTOP) Is Not an Improvement Over the DSM

In their response to our article (both in this issue), DeYoung and colleagues did not sufficiently address three fundamental flaws with the Hierarchical Taxonomy of Psychopathology (HiTOP). First, HiTOP was created using a simple-structure factor-analytic approach, which does not adequately represent the dimensional space of the symptoms of psychopathology. Consequently, HiTOP is not the empirical structure of psychopathology. Second, factor analysis and dimensional ratings do not fix the problems inherent to descriptive (folk) classification; self-reported symptoms are still the basis on which clinical judgments about people are made. Finally, HiTOP is not ready to use in real-world clinical settings. There is currently no empirical evidence demonstrating that clinicians who use HiTOP have better clinical outcomes than those who use the Diagnostic and Statistical Manual of Mental Disorders (DSM). In sum, HiTOP is a factor-analytic variation of the DSM that does not get the field closer to a more valid and useful taxonomy.

The Relationship Between Sleep, Cognition and Behavior in Children With Newly-Diagnosed Epilepsy Over 36 Months

Introduction

There is substantial evidence that children with epilepsy experience more sleep, behavior and cognitive challenges than children without epilepsy. However, the literature is limited in describing the relationship between sleep, epilepsy, cognition and behavioral challenges and the interactions amongst these factors over time. This study aims to understand the nature and strength of the relationship between sleep, cognition, mood and behavior in children with new-onset epilepsy as assessed by multiple informants at multiple time periods using multiple different dependent measures.

Methods

332 participants (6-16years) were recruited within 6 weeks of their first recognized seizure. The comparison group was comprised of 266 healthy siblings. Participants underwent sleep evaluation by a parent using the Sleep Behavioral Questionnaire (SBQ), cognitive evaluation using a comprehensive neuropsychological test battery, a behavioral evaluation using the Child Behavior Checklist (CBCL from parents and TRF from teachers) and the Children's Depression Inventory (CDI). These evaluations were completed at baseline (B), at 18 months, and at 36 months.

Results

Compared to siblings, children with new-onset epilepsy had more sleep disturbance (SBQ), higher rates of behavioral problems (CBCL and TRF), lower cognitive testing scores, and higher rates of depression; which persisted over the 36-month study. Sleep significantly correlated with behavioral problems, cognitive scores and depression. When divided into categories based of sleep disturbance scores, 39.7% of children with epilepsy experienced "Persistently Abnormal Sleep", while 14.8% experienced "Persistently Normal Sleep". Children with persistently abnormal sleep experienced the highest rates of behavioral problems, depression and cognitive impairment compared to those with persistently normal sleep, regardless of epilepsy syndrome. Younger age of seizure onset, younger age at testing, and lower grade level at baseline were associated with persistently abnormal sleep.

Conclusions

To our knowledge, this is the first demonstration of the nature, strength, reliability, stability and persistence of the relationship between sleep, cognition, and behavioral problems over time in a large cohort of children with newly diagnosed epilepsy, as assessed by multiple informants at different timepoints. The results of this study indicate that children with epilepsy are at a high risk of significant persisting neurobehavioral multimorbidity. Therefore, early screening for these challenges may be essential for optimizing quality of life long-term.

Longitudinal network model of the co-development of temperament, executive functioning, and psychopathology symptoms in youth with and without ADHD

Attention-deficit hyperactivity disorder (ADHD) is a common, chronic, and impairing disorder, yet presentations of ADHD and clinical course are highly heterogeneous. Despite substantial research efforts, both (a) the secondary co-occurrence of ADHD and complicating additional clinical problems and (b) the developmental pathways leading toward or away from recovery through adolescence remain poorly understood. Resolving these requires accounting for transactional influences of a large number of features across development. Here, we applied a longitudinal cross-lagged panel network model to a multimodal, multilevel dataset in a well-characterized sample of 488 children (nADHD = 296) to test Research Domain Criteria initiative-inspired hypotheses about transdiagnostic risk. Network features included Diagnostic and Statistical Manual of Mental Disorders symptoms, trait-based ratings of emotional functioning (temperament), and performance-based measures of cognition. Results confirmed that ADHD symptom domains, temperamental irritability, and working memory are independent transdiagnostic risk factors for psychopathology based on their direct associations with other features across time. ADHD symptoms and working memory each had direct, independent associations with depression. Results also demonstrated tightly linked co-development of ADHD symptoms and temperamental irritability, consistent with the possibility that this type of anger dysregulation is a core feature that is co-expressed as part of the ADHD phenotype for some children.

The Hierarchical Taxonomy of Psychopathology (HiTOP): A Quantitative Nosology Based on Consensus of Evidence

Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

Development of ADHD: Etiology, Heterogeneity, and Early Life Course

ADHD represents a powerful entry point for developmental approaches to psychopathology due to its major role in early emergence of major life problems. One key issue concerns the role of early environmental risks in etiology and maintenance in the context of genetic liability. Here, psychosocial aspects of development need more attention. A second key issue is that phenotypic heterogeneity requires better resolution if actionable causal mechanisms are to be effectively identified. Here, the interplay of cognition and emotion in the context of a temperament lens is one helpful way forward. A third key issue is the poorly understood yet somewhat striking bifurcation of developmental course in adolescence, when a subgroup seem to have largely benign outcomes, while a larger group continue on a problematic path. A final integrative question concerns the most effective conceptualization of the disorder in relation to broader dysregulation. Key scientific priorities are noted.

Development of ADHD: Etiology, Heterogeneity, and Early Life Course

ADHD represents a powerful entry point for developmental approaches to psychopathology due to its major role in early emergence of major life problems. One key issue concerns the role of early environmental risks in etiology and maintenance in the context of genetic liability. Here, psychosocial aspects of development need more attention. A second key issue is that phenotypic heterogeneity requires better resolution if actionable causal mechanisms are to be effectively identified. Here, the interplay of cognition and emotion in the context of a temperament lens is one helpful way forward. A third key issue is the poorly understood yet somewhat striking bifurcation of developmental course in adolescence, when a subgroup seem to have largely benign outcomes, while a larger group continue on a problematic path. A final integrative question concerns the most effective conceptualization of the disorder in relation to broader dysregulation. Key scientific priorities are noted.