scholarly journals Using development and psychopathology principles to inform the Research Domain Criteria (RDoC) framework

2021 ◽  
Vol 33 (5) ◽  
pp. 1521-1525
Author(s):  
Elisabeth Conradt ◽  
Sheila E. Crowell ◽  
Dante Cicchetti
Keyword(s):  
Mental Health ◽  
Developmental Psychopathology ◽  
Mental Health Problems ◽  
Empirical Studies ◽  
Self Report ◽  
Levels Of Analysis ◽  
Research Domain Criteria ◽  
Special Issue ◽  
Multiple Levels ◽  
Research Domain

AbstractIn 2010, the Research Domain Criteria (RDoC) were developed to advance our understanding of the pathophysiology of mental illness across multiple levels of analysis, ranging from cells to circuits to self-report instruments. Several conceptual RDoC-informed manuscripts have highlighted the importance of studying how developmental processes give rise to psychopathology. However, there are few empirical studies that integrate the RDoC framework with development and psychopathology principles. This special issue was developed to fill this empirical gap. In this introduction to the special issue, we describe how the developmental psychopathology field predates and informs the RDoC framework. We highlight three important ways in which developmental psychopathology and the RDoC framework can mutually inform one another, leading to novel discoveries to identify, prevent, and treat mental health problems across the life span.

scholarly journals Instantiating the multiple levels of analysis perspective in a program of study on externalizing behavior

2012 ◽  
Vol 24 (3) ◽  
pp. 1003-1018 ◽  
Author(s):  
Theodore P. Beauchaine ◽  
Lisa M. Gatzke-Kopp
Keyword(s):  
Middle Childhood ◽  
Externalizing Behavior ◽  
Developmental Psychopathology ◽  
Personality Development ◽  
Developmental Model ◽  
Self Report ◽  
Levels Of Analysis ◽  
Quarter Century ◽  
Trait Impulsivity ◽  
Multiple Levels

AbstractDuring the last quarter century, developmental psychopathology has become increasingly inclusive and now spans disciplines ranging from psychiatric genetics to primary prevention. As a result, developmental psychopathologists have extended traditional diathesis–stress and transactional models to include causal processes at and across all relevant levels of analysis. Such research is embodied in what is known as the multiple levels of analysis perspective. We describe how multiple levels of analysis research has informed our current thinking about antisocial and borderline personality development among trait impulsive and therefore vulnerable individuals. Our approach extends the multiple levels of analysis perspective beyond simple Biology × Environment interactions by evaluating impulsivity across physiological systems (genetic, autonomic, hormonal, neural), psychological constructs (social, affective, motivational), developmental epochs (preschool, middle childhood, adolescence, adulthood), sexes (male, female), and methods of inquiry (self-report, informant report, treatment outcome, cardiovascular, electrophysiological, neuroimaging). By conducting our research using any and all available methods across these levels of analysis, we have arrived at a developmental model of trait impulsivity that we believe confers a greater understanding of this highly heritable trait and captures at least some heterogeneity in key behavioral outcomes, including delinquency and suicide.

Research Domain Criteria and OCD

2017 ◽  
Author(s):  
Eyal Kalanthroff ◽  
Gideon E. Anholt ◽  
Helen Blair Simpson
Keyword(s):  
Mental Health ◽  
United States ◽  
Mental Disorders ◽  
The United States ◽  
Self Report ◽  
Research Domain Criteria ◽  
Diagnostic Systems ◽  
Behavioral Measures ◽  
Research Domain

This chapter discusses the Research Domain Criteria (RDoC) project, an initiative of the National Institutes of Mental Health (NIMH) of the United States to develop for research purposes new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures, and explores how the hallmark symptoms of OCD (obsessions, compulsions, and anxiety) can be mapped onto RDoC domains. Unlike current categorical diagnostic systems (e.g., DSM), RDoC seeks to integrate many levels of information (from genomics to self-report) to validate dimensions defined by neurobiology and behavioral measures that cut across current disorder categories. The chapter explores, for heuristic reasons, how the RDoC matrix might be used to elucidate the neurobehavioral domains of dysfunction that lead to the characteristic symptoms of OCD. It then selectively reviews the OCD literature from the perspective of the RDoC domains, aiming to guide future transdiagnostic studies to examine specific neurobehavioral domains across disorders.

Global mental health and the National Institute of Mental Health Research Domain Criteria

2018 ◽  
Vol 64 (5) ◽  
pp. 436-442 ◽  
Author(s):  
Stevan Merill Weine ◽  
Scott Langenecker ◽  
Aliriza Arenliu
Keyword(s):  
Mental Health ◽  
Mental Health Problems ◽  
Global Mental Health ◽  
Mental Health Research ◽  
Targeted Prevention ◽  
Research Domain Criteria ◽  
Middle Income ◽  
Middle Income Countries ◽  
New Research ◽  
Research Domain

Background: The National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) project presents innovative ways of investigating mental illness based on behavioral and neurobiological measures of dimensional processes. Although cultural psychiatrists have critiqued RDoC’s implications and limitations for its under-developed focus on context and experience, RDoC presents opportunities for synergies with global mental health. It can capture aspects of clinical or sub-clinical behavior which are less dependent upon Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5) and perhaps better elucidate the role of culture in disease expression and resilience. Aim/Results: This article uses the example of migration to describe several starting points for new research: (1) providing components for building an investigable conceptual framework to understand individual’s mental health, resilience and adjustment to migration challenges or social adversities in low- and middle-income countries (LMICs) and (2) identifying measurable factors which determine resilience or vulnerability, to guide development and evaluation of targeted prevention, treatment and recovery strategies for mental health in LMICs. Conclusion: In such ways, RDoC frameworks could help put the new cutting edge neurobiological dimensional scientific advances in a position to contribute to addressing mental health problems amid social adversities in LMICs. However, this would require a much-expanded commitment by both RDoC and global mental health researchers to address contextual and experiential dimensions.

Classification and Diagnosis of Psychopathology

2018 ◽  
Author(s):  
Peter Muris
Keyword(s):  
Mental Health ◽  
Mental Disorders ◽  
Classification System ◽  
Mental Health Problems ◽  
Network Approach ◽  
Research Domain Criteria ◽  
Statistical Manual ◽  
Diagnostic And Statistical Manual ◽  
Pros And Cons ◽  
Research Domain

This chapter deals with the classification and diagnosis of psychopathology in children and adolescents. An overview is given of the most prevalent mental health problems in youth that can be classified according to the Diagnostic and Statistical Manual of Mental Disorders (DSM). Methods are then described that can be employed to classify psychopathology in youth in terms of DSM nomenclature. Next, the pros and cons of the DSM classification system are discussed, after which a number of alternative ways that can be employed to classify psychopathology are addressed. These include the Research Domain Criteria framework and the complex network approach.

The Psychophysiology of Anxiety and Mood Disorders

2017 ◽  
Vol 225 (3) ◽  
pp. 175-188 ◽  
Author(s):  
Peter J. Lang ◽  
Lisa M. McTeague ◽  
Margaret M. Bradley
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Brain Function ◽  
Physiological Reactivity ◽  
Research Domain Criteria ◽  
Diagnostic Systems ◽  
Psychophysiological Reactivity ◽  
Diagnostic Categories ◽  
New Research ◽  
Research Domain

Abstract. Several decades of research are reviewed, assessing patterns of psychophysiological reactivity in anxiety patients responding to a fear/threat imagery challenge. Findings show substantive differences in these measures within principal diagnostic categories, questioning the reliability and categorical specificity of current diagnostic systems. Following a new research framework (US National Institute of Mental Health [NIMH], Research Domain Criteria [RDoC]; Cuthbert & Insel, 2013 ), dimensional patterns of physiological reactivity are explored in a large sample of anxiety and mood disorder patients. Patients’ responses (e.g., startle reflex, heart rate) during fear/threat imagery varied significantly with higher questionnaire measured “negative affect,” stress history, and overall life dysfunction – bio-marking disorder groups, independent of Diagnostic and Statistical Manuals (DSM). The review concludes with a description of new research, currently underway, exploring brain function indices (structure activation, circuit connectivity) as potential biological classifiers (collectively with the reflex physiology) of anxiety and mood pathology.

Vergleich von kategorialer und dimensionaler Analyse bei Angststörungen

2020 ◽  
Vol 88 (05) ◽  
pp. 291-292
Keyword(s):  
Mental Health ◽  
Research Domain Criteria ◽  
Dsm Iv ◽  
Dimensionale Analyse ◽  
Research Domain

Zur Diagnose von Patienten mit Angststörungen existieren zwei unterschiedliche analytische Ansätze: ein kategorialer, der auf dem DSM-IV beruht und eine dimensionale Analyse, die auf den Research Domain Criteria (einer Initiative des National Institute of Mental Health) basiert. Es ist bisher nicht bekannt, ob die beiden Ansätze unterschiedliche oder ähnliche Informationen bezüglich der Diagnose von Personen mit Angststörungen liefern.

Self-Report Depression Scales in the Elderly: The Relationship between the CES-D and ZUNG

1989 ◽  
Vol 18 (4) ◽  
pp. 325-338 ◽  
Author(s):  
Bruce R. Deforge ◽  
Jeffery Sobal
Keyword(s):  
Mental Health ◽  
Sex Differences ◽  
Mental Health Problems ◽  
Psychological Symptoms ◽  
Somatic Symptoms ◽  
The Elderly ◽  
Self Report ◽  
Common Mental Health Problems ◽  
Depression Scales ◽  
The Relationship

Depression is one of the most common mental health problems in the elderly, but there is little consensus about the best way to assess depression in the aged. The relationship between the CES-D and the ZUNG self-report depression scales was investigated in seventy-eight elderly people with osteoarthritis (mean age 71). The correlation between the scales was r = .69, with the CES-D classifying 15 percent of the participants as depressed, as compared to 6 percent by the ZUNG. Psychological symptoms had the strongest relationship with overall depression scores on both scales. No sex differences were found on psychological items on either scale, but females reported more somatic symptoms on the ZUNG. People over age seventy-four reported more psychological symptoms than their younger counterparts.

Mental Health Problems and Help-Seeking among Adolescents

2021 ◽  
pp. 189-202
Author(s):  
E.V. Rezun ◽  
◽  
H.R. Slobodskaya ◽  
N.B. Semenova ◽  
T.O. Rippinen ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Care ◽  
Mental Health Care ◽  
Help Seeking ◽  
Sleep Disturbances ◽  
Mental Health Problems ◽  
Health Problems ◽  
Self Report ◽  
Emotional And Behavioral Problems ◽  
Seeking Help

The mental health problems among adolescents have long-lasting effects throughout life. However, research evidence indicates that only 10–30% of adolescents who needed mental health care had received specialized help. The present study reports the prevalence of mental health problems and help-seeking among adolescents, taking into account gender and age differences. The sample included 1752 adolescents (47 % boys,) aged 12-17 years. Data were collected on in two Siberian cities (Novosibirsk and Krasnoyarsk) using an international self-report questionnaire developed for the school-based Eurasian Child Mental Health Study. Participants were recruited from 18 schools, students completed questionnaires anonymously during school lessons. Statistical analysis included analysis of variance (ANOVA), multiple regression analysis, and crosstabs using a chi-squared test. The level of emotional and behavioral problems in Siberian adolescents was slightly higher than that found in European and Asian countries. Twenty three percent of adolescents reported frequent headaches (at least once a week), 11 % reported frequent abdominal pain and 14% suffered from frequent sleep disturbances (3–5 times a week or more). Girls reported a significantly higher level of problems than boys, with the largest gender differences for emotional problems, recurrent pains and sleep disturbances. Weekly consumption of alcohol and daily use of nicotine among boys was more common than among girls (3 % and 6 %, respectively), whereas less frequent use of alcohol and nicotine was commoner in girls (16 %) than in boys (10 %); 7 % of boys and girls had tried drugs at least once. Suicidal thoughts were reported by 22 % of adolescents, 6 % reported suicide attempts and 6 % reported repeated self-harm. One third of adolescents considered seeking outside help and 9 % had actually done so. Girls reported more help-seeking than boys; older girls sought help more often than younger and middle-aged ones. Around one third of adolescents sought help from their relatives; 26 % from friends, the Internet or other non-professional sources; 5 % reported seeking help from a doctor or nurse, and 3 % from a psychologist. The most important independent predictors of seeking help were emotional symptoms, suicidal ideation and hyperactivity/inattention. The results suggest a need for future investigation of the factors associated with help-seeking behavior among adolescents. It is also necessary to develop mental health promotion programs for adolescents, interventions to improve mental health literacy and access to mental health care.

scholarly journals Online Mental Health Assessments of COVID-19 Patients in South Korea

2021 ◽  
Vol 12 ◽  
Author(s):  
Jung Hyun Lee ◽  
Dayoung Lee ◽  
Soyoen Hyun ◽  
Ji Sun Hong ◽  
Chang-Hoon Kim ◽  
...  
Keyword(s):  
Mental Health ◽  
High Risk ◽  
Mental Health Problems ◽  
Health Problems ◽  
Self Report ◽  
Patient Health Questionnaire ◽  
Health Questionnaire ◽  
Post Traumatic Stress ◽  
Patient Health ◽  
Post Traumatic

Experiences of infectious diseases cause stressful and traumatic life events, hence, coronavirus disease 2019 (COVID-19) patients could suffer from various mental health problems requiring psychological support services. This study investigates the severity of mental health problems among confirmed COVID-19 patients. From March to November 2020, we collected the data from 118 COVID-19 patients who voluntarily participated in the National Center for Disaster Trauma's online mental health assessment consisting of self-report scales like Primary Care of Posttraumatic Stress Disorder screen (PC-PTSD), Generalized Anxiety Disorder-7 (GAD-7), Patient Health Questionnaire-9 (PHQ-9), Patient Health Questionnaire-15 (PHQ-15), and P4 Suicidality Screener. For control, 116 other disaster-experienced and 386 non-COVID-19-experienced participants were recruited. The COVID-19 patients showed more severe symptoms including post-traumatic symptoms, depression, anxiety, and somatic symptoms than control groups across all four screening scales (p < 0.001). Regarding high-risk, COVID-19 patients had an increased association with high-risk compared to the comparison groups (PC-PTSD: OR = 24.16, 95% CI = 13.52–43.16 p < 0.001; PHQ-9: OR = 14.45, 95% CI = 8.29–25.19, p < 0.001; GAD-7: OR=20.71, 95% CI = 10.74–39.96, p < 0.001; PHQ-15: OR = 5.65, 95% CI = 3.44–9.25, p < 0.001; P4: OR = 14.67, 95% CI = 8.95–25.07, p < 0.001). This study's results imply that there is a high-risk of overall mental health problems, especially stronger associations of post-traumatic stress symptoms, in COVID-19 patients. These findings help inform practitioners about the psychological responses to COVID-19 experiences and to prepare appropriate interventions and services for the incremental number of confirmed cases.

scholarly journals The role of RDoC in future classification of mental disorders

2020 ◽  
Vol 22 (1) ◽  
pp. 81-85 ◽  
Keyword(s):  
Mental Health ◽  
Affective Behavior ◽  
Research Domain Criteria ◽  
Computational Approaches ◽  
Diagnostic Categories ◽  
Key Features ◽  
Study Designs ◽  
Research Domain

The Research Domain Criteria (RDoC) project constitutes a translational framework for psychopathology research, initiated by the National Institute of Mental Health in an attempt to provide new avenues for research to circumvent problems emerging from the use of symptom-based diagnostic categories in diagnosing disorders. The RDoC alternative is a focus on psychopathology based on dimensions simultaneously defined by observable behavior (including quantitative measures of cognitive or affective behavior) and neurobiological measures. Key features of the RDoC framework include an emphasis on functional dimensions that range from normal to abnormal, integration of multiple measures in study designs (which can foster computational approaches), and high priority on studies of neurodevelopment and environmental influences (and their interaction) that can contribute to advances in understanding the etiology of disorders throughout the lifespan. The paper highlights key implications for ways in which RDoC can contribute to future ideas about classification, as well as some of the considerations involved in translating basic behavioral and neuroscience data to psychopathology.

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