How Developmental Psychopathology Theory and Research Can Inform the Research Domain Criteria (RDoC) Project

[The Research Domain Criteria (Rdoc), reductionism and clinical psychiatry]

The focus of the advocates of the Research Domain Critria (RDoC) on faulty brain circuits has led some to suspect it of being a reductionist enterprise. And because RDoC will eventually impact clinical psychiatry, some have feared that it will transform clinical psychiatry in a mindless and applied neurobehavioral science. We argue that if RDoC is officially endorsing a kind of reductionism, the particular kind of reductionism it endorses is not suffering from the shortcomings of more classical forms of reductionism. Because of that, at least in principle, RDoC could enrich rather than impoverish clinical psychiatry. This paper raises few potential problems of the RDoC for clinical psychiatry caused by its implicit epistemological reductionism.

Infant EEG and temperament negative affectivity: Coherence of vulnerabilities to mothers' perinatal depression

Associations between infants' frontal EEG asymmetry and temperamental negative affectivity (NA) across infants' first year of life and the potential moderating role of maternal prenatal depressive symptoms were examined prospectively in infants (n = 242) of mothers at elevated risk for perinatal depression. In predicting EEG, in the context of high prenatal depressive symptoms, infant NA and frontal EEG asymmetry were negatively associated at 3 months of age and positively associated by 12 months of age. By contrast, for low depression mothers, infant NA and EEG were not significantly associated at any age. Postnatal depressive symptoms did not add significantly to the models. Dose of infants' exposure to maternal depression mattered: infants exposed either pre- or postnatally shifted from a positive association at 3 months to a negative association at 12 months; those exposed both pre- and postnatally shifted from a negative association at 3 months to a positive association at 12 months. Prenatal relative to postnatal exposure did not matter for patterns of association between NA and EEG. The findings highlight the importance of exploring how vulnerabilities at two levels of analysis, behavioral and psychophysiological, co-occur over the course of infancy and in the context of mothers' depressive symptomatology.

Achieving success with the Research Domain Criteria (RDoC): Going beyond the matrix

Achieving Research Domain Criteria (RDoC) goals depends in part on how well scientists can grasp its principles and execute studies within its framework. Ford provides an exemplary illustration of a research program that aligns with RDoC guidelines. The future success of RDoC depends not just on research like that of Ford and colleagues. RDoC also must inspire the development of reliable neurobehavioral measures with demonstrable clinical validity that produce replicable findings leading to the establishment of neurocircuit-based behavioral dimensions that inform clinical work. Large samples not typically attainable in a clinical neuroscience laboratory or easily imagined within the confines of the RDoC matrix will be required if RDoC is to develop the insights and tools needed to establish incremental value over the DSM. Innovation that goes beyond reliance on the RDoC matrix and measures of neurocircuitry can help facilitate achievement of RDoC's goal of developing a science of psychopathology based on neurobiological systems.

Introduction to the Special Issue: Discrepancies in Adolescent-Parent Perceptions of the Family and Adolescent Adjustment

Researchers commonly rely on adolescents' and parents' reports to assess family functioning (e.g., conflict, parental monitoring, parenting practices, relationship quality). Recent work indicates that these reports may vary as to whether they converge or diverge in estimates of family functioning. Further, patterns of converging or diverging reports may yield important information about adolescent adjustment and family functioning. This work is part of a larger literature seeking to understand and interpret multi-informant assessments of psychological phenomena, namely mental health. In fact, recent innovations in conceptualizing, measuring, and analyzing multi-informant mental health assessments might meaningfully inform efforts to understand multi-informant assessments of family functioning. Therefore, in this Special Issue we address three aims. First, we provide a guiding framework for using and interpreting multi-informant assessments of family functioning, informed by recent theoretical work focused on using and interpreting multi-informant mental health assessments. Second, we report research on adolescents' and parents' reports of family functioning that leverages the latest methods for measuring and analyzing patterns of convergence and divergence between informants' reports. Third, we report research on measurement invariance and its role in interpreting adolescents' and parents' reports of family functioning. Research and theory reported in this Special Issue have important implications for improving our understanding of the links between multi-informant assessments of family functioning and adolescent adjustment.

Annual Research Review: Building a science of personalized intervention for youth mental health

BACKGROUND

Within the past decade, health care service and research priorities have shifted from evidence-based medicine to personalized medicine. In mental health care, a similar shift to personalized intervention may boost the effectiveness and clinical utility of empirically supported therapies (ESTs). The emerging science of personalized intervention will need to encompass evidence-based methods for determining which problems to target and in which order, selecting treatments and deciding whether and how to combine them, and informing ongoing clinical decision-making through monitoring of treatment response throughout episodes of care. We review efforts to develop these methods, drawing primarily from psychotherapy research with youths. Then we propose strategies for building a science of personalized intervention in youth mental health.

FINDINGS

The growing evidence base for personalizing interventions includes research on therapies adapted for specific subgroups; treatments targeting youths' environments; modular therapies; sequential, multiple assignment, randomized trials; measurement feedback systems; meta-analyses comparing treatments for specific patient characteristics; data-mining decision trees; and individualized metrics.

CONCLUSION

The science of personalized intervention presents questions that can be addressed in several ways. First, to evaluate and organize personalized interventions, we propose modifying the system used to evaluate and organize ESTs. Second, to help personalizing research keep pace with practice needs, we propose exploiting existing randomized trial data to inform personalizing approaches, prioritizing the personalizing approaches likely to have the greatest impact, conducting more idiographic research, and studying tailoring strategies in usual care. Third, to encourage clinicians' use of personalized intervention research to inform their practice, we propose expanding outlets for research summaries and case studies, developing heuristic frameworks that incorporate personalizing approaches into practice, and integrating personalizing approaches into service delivery systems. Finally, to build a richer understanding of how and why treatments work for particular individuals, we propose accelerating research to identify mediators within and across RCTs, to isolate mechanisms of change, and to inform the shift from diagnoses to psychopathological processes. This ambitious agenda for personalized intervention science, although challenging, could markedly alter the nature of mental health care and the benefit provided to youths and families.

Clashing Diagnostic Approaches: DSM-ICD Versus RDoC

Since at least the middle of the past century, one overarching model of psychiatric classification has reigned supreme, namely, that of the Diagnostic and Statistical Manual of Mental Disorders and the International Statistical Classification of Diseases and Related Health Problems (herein referred to as DSM-ICD). This DSM-ICD approach embraces an Aristotelian view of mental disorders as largely discrete entities that are characterized by distinctive signs, symptoms, and natural histories. Over the past several years, however, a competing vision, namely, the Research Domain Criteria (RDoC) initiative launched by the National Institute of Mental Health, has emerged in response to accumulating anomalies within the DSM-ICD system. In contrast to DSM-ICD, RDoC embraces a Galilean view of psychopathology as the product of dysfunctions in neural circuitry. RDoC appears to be a valuable endeavor that holds out the long-term promise of an alternative system of mental illness classification. We delineate three sets of pressing challenges--conceptual, methodological, and logistical/pragmatic--that must be addressed for RDoC to realize its scientific potential. We conclude with a call for further research, including investigation of a rapprochement between Aristotelian and Galilean approaches to psychiatric classification.

Integrating Children's Mental Health into Primary Care

Children's mental health problems are among global health advocates' highest priorities. Nearly three-quarters of adult disorders have their onset or origins during childhood, becoming progressively harder to treat over time. Integrating mental health with primary care and other more widely available health services has the potential to increase treatment access during childhood, but requires re-design of currently-available evidence-based practices to fit the context of primary care and place a greater emphasis on promoting positive mental health. While some of this re-design has yet to be accomplished, several components are currently well-defined and show promise of effectiveness and practicality.

Is the Divide a Chasm?: Bridging Affective Science with Clinical Practice

This special section endeavors to facilitate the integration of biologically-based assessments of emotion into the clinical setting. This goal is consistent with the Research Domain Criteria (RDoC) initiative, which aims to identify transdiagnostic biobehavioral mechanisms that underlie mental disorders. We focus on four challenges to applying biologically-informed research on emotion and emotion regulation to clinical contexts: (1) How do we assess emotion in an RDoC framework? (2) How do we integrate measures of emotion with other systems in a wider context? (3) What do physiological indices of emotion tell us about clinical phenomena? and (4) How do we integrate physiological assessments into clinical practice? Throughout this comment, we refer to the articles in this special section to make our points, and, when possible, offer suggestions for future work to continue to address these challenges.

The Danish High Risk and Resilience Study--VIA 7--a cohort study of 520 7-year-old children born of parents diagnosed with either schizophrenia, bipolar disorder or neither of these two mental disorders

BACKGROUND

Severe mental illnesses like schizophrenia and bipolar disorder are known to be diseases that to some extent, but not entirely can be understood genetically. The dominating hypothesis is that these disorders should be understood in a neurodevelopmental perspective where genes and environment as well as gene-environment-interactions contribute to the risk of developing the disease. We aim to analyse the influences of genetic risk and environmental factors in a population of 520 7-year-old children with either 0, 1 or 2 parents diagnosed with schizophrenia spectrum psychosis or bipolar disorder on mental health and level of functioning. We hypothesize that a larger proportion of children growing up with an ill parent will display abnormal or delayed development, behavioural problems or psychiatric symptoms compared to the healthy controls.

METHODS/DESIGN

We are establishing a cohort of 5207 year old children and both their parents for a comprehensive investigation with main outcome measures being neurocognition, behaviour, psychopathology and neuromotor development of the child. Parents and children are examined with a comprehensive battery of instruments and are asked for genetic material (saliva or blood) for genetic analyses. The participants are recruited via Danish registers to ensure representativity. Data from registers concerning social status, birth complications, somatic illnesses and hospitalization are included in the database. Psychological and relational factors like emotional climate in the family, degree of stimulation and support in the home and attachment style are also investigated.

DISCUSSION

Data collection started January 1, 2013, and is successfully ongoing. By Aug 2015 424 families are included. About 20% of the invited families decline to participate, equal for all groups.

Integrating NIMH Research Domain Criteria (RDoC) into Depression Research

The NIMH Research Domain Criteria (RDoC) initiative grew out of the agency's goal to develop "new ways of classifying mental disorders based on behavioral dimensions and neurobiological measures" (NIMH, 2008). In this article, we review how depression research can be meaningfully conducted within an RDoC framework, with a particular focus on the negative valence systems construct of Loss. New efforts to understand depression within the context of RDoC must seek an integrative understanding of the disorder across multiple units of analysis from genes to neural circuits to behavior. In addition, the constructs or processes must be understood within the context of specific environmental and developmental influences. Key concepts are discussed and we end by highlighting research on rumination as a prime example of research that is consistent with RDoC.

Introduction to the special issue: toward implementing physiological measures in clinical child and adolescent assessments

The National Institute of Mental Health recently launched the Research Domain Criteria (RDoC). The RDoC is an initiative to improve classification of mental health concerns by promoting research on the brain mechanisms underlying these concerns, with the ultimate goal of developing interventions that target these brain mechanisms. A key focus of RDoC involves opening new lines of research examining patients' responses on biological measures. The RDoC presents unique challenges to mental health professionals who work with children and adolescents. Indeed, mental health professionals rarely integrate biological measures into clinical assessments. Thus, RDoC's ability to improve patient care rests, in part, on the development of strategies for implementing biological measures within mental health assessments. Further, mental health professionals already carry out comprehensive assessments that frequently yield inconsistent findings. These inconsistencies have historically posed challenges to interpreting research findings as well as assessment outcomes in practice settings. In this introductory article, we review key issues that informed the development of a special issue of articles demonstrating methods for implementing low-cost measures of physiological functioning in clinical child and adolescent assessments. We also outline a conceptual framework, informed by theoretical work on using and interpreting multiple informants' clinical reports (De Los Reyes, Thomas, Goodman, & Kundey, 2013 ), to guide hypothesis testing when using physiological measures within clinical child and adolescent assessments. This special issue and the conceptual model described in this article may open up new lines of research testing paradigms for implementing clinically feasible physiological measures in clinical child and adolescent assessments.

Designing mental health interventions informed by child development and human biology theory: a social ecology intervention for child soldiers in Nepal

The anthropological study of human biology, health, and child development provides a model with potential to address the gap in population-wide mental health interventions. Four key concepts from human biology can inform public mental health interventions: life history theory and tradeoffs, redundancy and plurality of pathways, cascades and multiplier effects in biological systems, and proximate feedback systems. A public mental health intervention for former child soldiers in Nepal is used to illustrate the role of these concepts in intervention design and evaluation. Future directions and recommendations for applying human biology theory in pursuit of public mental health interventions are discussed.