Self-report indicators of negative valence constructs within the research domain criteria (RDoC): A critical review

2017 ◽  
Vol 216 ◽  
pp. 58-69 ◽  
Author(s):  
David Watson ◽  
Kasey Stanton ◽  
Lee Anna Clark
Keyword(s):  
Critical Review ◽  
Self Report ◽  
Research Domain Criteria ◽  
Negative Valence ◽  
Research Domain

scholarly journals Behavioral and neurodevelopmental precursors to binge-type eating disorders: support for the role of negative valence systems

2015 ◽  
Vol 45 (14) ◽  
pp. 2921-2936 ◽  
Author(s):  
A. Vannucci ◽  
E. E. Nelson ◽  
D. M. Bongiorno ◽  
D. S. Pine ◽  
J. A. Yanovski ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Developmental Trajectory ◽  
Self Report ◽  
Physiological Data ◽  
Research Domain Criteria ◽  
Risk Models ◽  
Eating Disorder Risk ◽  
Negative Valence ◽  
Research Domain

Background.Pediatric loss-of-control (LOC) eating is a robust behavioral precursor to binge-type eating disorders. Elucidating precursors to LOC eating and binge-type eating disorders may refine developmental risk models of eating disorders and inform interventions.Method.We review evidence within constructs of the Negative Valence Systems (NVS) domain, as specified by the Research Domain Criteria framework. Based on published studies, we propose an integrated NVS model of binge-type eating-disorder risk.Results.Data implicate altered corticolimbic functioning, neuroendocrine dysregulation, and self-reported negative affect as possible risk factors. However, neuroimaging and physiological data in children and adolescents are sparse, and most prospective studies are limited to self-report measures.Conclusions.We discuss a broad NVS framework for conceptualizing early risk for binge-type eating disorders. Future neural and behavioral research on the developmental trajectory of LOC and binge-type eating disorders is required.

scholarly journals The research domain criteria framework in drug discovery for neuropsychiatric diseases: focus on negative valence

2018 ◽  
Vol 2 ◽  
pp. 239821281880403 ◽  
Author(s):  
Janet R. Nicholson ◽  
Bernd Sommer
Keyword(s):  
Drug Discovery ◽  
Mental Illnesses ◽  
Self Report ◽  
Research Domain Criteria ◽  
Potential Threat ◽  
Negative Valence ◽  
Neuropsychiatric Diseases ◽  
Observable Behaviour ◽  
Quantitative Understanding ◽  
Research Domain

Drug discovery, particularly in the field of central nervous system, has had very limited success in the last few decades. A likely contributor is the poor translation between preclinical and clinical phases. The Research Domain Criteria of the National Institutes of Mental Health is a framework which aims to identify new ways of classifying mental illnesses that are based on observable behaviour and neurobiological measures, and to provide a guiding and evolving framework to improve the translation from preclinical to clinical research. At the core of the Research Domain Criteria approach is the assumption that the dimensional constructs described can be assessed across different units of analysis, thus enabling a more precise quantitative understanding of their neurobiological underpinnings, increasing the likelihood of identifying new and effective therapeutic approaches. In the present review, we discuss how the Research Domain Criteria can be applied to drug discovery with the domain Negative Valence, construct Potential Threat (‘Anxiety’) as an example. We will discuss the evidence supporting the utility of the Research Domain Criteria approach and evaluate how close we are to achieving a common thread of translational research from gene to self-report.

scholarly journals Kaleidoscope

2014 ◽  
Vol 205 (3) ◽  
pp. 254-255
Author(s):  
Derek K. Tracy ◽  
Dan W. Joyce ◽  
Sukhwinder S. Shergill
Keyword(s):  
Experimental Approach ◽  
Response Selection ◽  
Research Priorities ◽  
Borderline Personality ◽  
Research Domain Criteria ◽  
Case Processing ◽  
Negative Valence ◽  
Underlying Mechanisms ◽  
Golden Gate Bridge ◽  
Research Domain

June 27 this year was the day that funding was approved for San Francisco's Golden Gate Bridge physical suicide deterrent barrier (www.ggbsuicidebarrier.org). This follows over 1400 suicides since the bridge's opening in 1937: a morbid record 46 were in 2013 alone, possibly exacerbated by the global economic crisis. The barrier is in place to prevent the end-point of suicidal behaviour (physically preventing suicide) but how much effort is going into the examination of the external factors that drive such behaviour? Aleman & Denys argue that psychiatry has failed to tackle suicide as a disease entity in its own right, instead relegating the act of deliberately ending one's life to a symptom or consequence of an underlying psychiatric illness. They note that in DSM-5 suicidality is only mentioned as a symptom of borderline personality disorder and mood disorders, despite this presenting as the most prominent psychiatric emergency. They argue for a more experimental approach based on the National Institute of Mental Health's Research Domain Criteria (www.nimh.nih.gov/research-priorities/rdoc/index.shtml) that emphasises the study of psychiatric phenomena with reference to their underlying mechanisms: in this case, processing of negative valence, context and response selection, and mechanisms to regulate arousal.

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.

The Nimh Research Domain Criteria Project

2017 ◽  
Author(s):  
Bruce N. Cuthbert
Keyword(s):  
Mental Illness ◽  
Signs And Symptoms ◽  
Disease Classification ◽  
Abnormal Behavior ◽  
Research Domain Criteria ◽  
Negative Valence ◽  
Regulatory Systems ◽  
Positive Valence ◽  
Fear And Anxiety ◽  
Research Domain

The Research Domain Criteria (RDoC) project grew from recognized deficiencies in currently used diagnostic schemes for mental illness, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM). While the latter is based on a series of signs and symptoms of illnesses that can co-occur in groups of individuals, without consideration of underlying biological factors, RDoC is based on the increasing ability to relate normal as well as abnormal behavior to particular molecules and circuits in the brain across animal species and humans. Behavioral domains include negative valence systems (e.g., fear and anxiety), positive valence systems (e.g., reward and motivation), cognitive systems, social processes, and arousal and regulatory systems, several of which might be affected in a given DSM disease classification. RDoC is seen as a step toward a “precision psychiatry,” where increasing knowledge of the genetic, molecular, cellular, and circuit basis of mental illness will yield biologically based diagnoses that offer important pathophysiological, treatment, and prognostic implications.

scholarly journals State and trait anxiety related gamma oscillations in patients with anxiety within the Research Domain Criteria (RDoC) framework

2021 ◽  
Author(s):  
Kyoung Min Kim ◽  
Su Hyun Bong ◽  
Jun Won Kim
Keyword(s):  
Trait Anxiety ◽  
Gamma Oscillations ◽  
Neural Correlates ◽  
Self Report ◽  
Psychiatric Clinic ◽  
Research Domain Criteria ◽  
Quantitative Electroencephalography ◽  
Gamma Power ◽  
State And Trait Anxiety ◽  
Research Domain

Abstract Background Diagnosis of anxiety has relied primarily on self-report. This study examined using quantitative electroencephalography (qEEG) to assess the association between anxiety and underlying neural correlates. Methods A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz). Results State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r = -0.484) and central (Cz, r = -0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r = -0.523), central (Cz, r = -0.568), parietal (P7, r = -0.500; P8, r = -0.541), and occipital (O1, r = -0.510; O2, r = -0.480) regions. Conclusions The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed.

Quantifying Dispositional Fear as Threat Sensitivity: Development and Initial Validation of a Model-Based Scale Measure

Assessment ◽  
2019 ◽  
Vol 27 (3) ◽  
pp. 533-546 ◽  
Author(s):  
Mark D. Kramer ◽  
Christopher J. Patrick ◽  
John M. Hettema ◽  
Ashlee A. Moore ◽  
Chelsea K. Sawyers ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Discriminant Validity ◽  
Structural Model ◽  
Effective Means ◽  
Self Report ◽  
General Factor ◽  
Research Domain Criteria ◽  
Threat Sensitivity ◽  
Scale Measure ◽  
Research Domain

The Research Domain Criteria initiative aims to reorient the focus of psychopathology research toward biobehavioral constructs that cut across different modalities of measurement, including self-report and neurophysiology. Constructs within the Research Domain Criteria framework are intentionally transdiagnostic, with the construct of “acute threat,” for example, broadly relevant to clinical problems and associated traits involving fearfulness and stress reactivity. A potentially valuable referent for research on the construct of acute threat is a structural model of fear/fearlessness questionnaires known to predict variations in physiological threat reactivity as indexed by startle potentiation. The aim of the current work was to develop an efficient, item-based scale measure of the general factor of this structural model for use in studies of dispositional threat sensitivity and its relationship to psychopathology. A self-report scale consisting of 44 items from a conceptually relevant, nonproprietary questionnaire was first developed in a sample of 1,307 student participants, using the general factor of the fear/fearlessness model as a direct referent. This new Trait Fear scale was then evaluated for convergent and discriminant validity with measures of personality and psychopathology in a separate sample ( n = 213) consisting of community adults and undergraduate students. The strong performance of the scale in this criterion-validation sample suggests that it can provide an effective means for indexing variations along a dispositional continuum of fearfulness reflecting variations in sensitivity to acute threat.

Measuring the biological embedding of racial trauma among Black Americans utilizing the RDoC approach

2021 ◽  
Vol 33 (5) ◽  
pp. 1849-1863
Author(s):  
Sierra E. Carter ◽  
Frederick X. Gibbons ◽  
Steven R.H. Beach
Keyword(s):  
Ethnic Differences ◽  
Black Americans ◽  
Future Research ◽  
Research Domain Criteria ◽  
Racial Trauma ◽  
Negative Valence ◽  
Chronic Stressor ◽  
The Life Course ◽  
Racial Ethnic ◽  
Research Domain

AbstractThe National Institute of Mental Health (NIMH) Research Domain Criteria (RDoC) initiative aims to understand the mechanisms influencing psychopathology through a dimensional approach. Limited research thus far has considered potential racial/ethnic differences in RDoC constructs that are influenced by developmental and contextual processes. A growing body of research has demonstrated that racial trauma is a pervasive chronic stressor that impacts the health of Black Americans across the life course. In this review article, we examine the ways that an RDOC framework could allow us to better understand the biological embedding of racial trauma among Black Americans. We also specifically examine the Negative Valence System domain of RDoC to explore how racial trauma is informed by and can help expand our understanding of this domain. We end the review by providing some additional research considerations and future research directives in the area of racial trauma that build on the RDoC initiative.

Research Domain Criteria (RDoC) and Emotion Regulation

2017 ◽  
pp. 79-110
Author(s):  
Michael Sun ◽  
Meghan Vinograd ◽  
Gregory A. Miller ◽  
Michelle G. Craske
Keyword(s):  
Emotion Regulation ◽  
Emotion Dysregulation ◽  
Process Model ◽  
Interdisciplinary Collaboration ◽  
Self Report ◽  
Research Domain Criteria ◽  
Research Framework ◽  
Psychological Constructs ◽  
Diagnostic And Statistical Manual ◽  
Research Domain

Chapter 5 describes the Research Domain Criteria (RDoC) framework as it pertains to emotion regulation, an in-progress research framework mapping psychological constructs onto discrete units of analysis (genes, molecules, cells, brain circuits, physiology, behavior, and self-report). It accommodates contemporary and developing emotion frameworks such as the Bradley-Lang Model and Gross-Ochsner Extended Process Model (EPM), while supplementing the clinically valuable, categorical account of psychological disorders featured in the Diagnostic and Statistical Manual of Mental Disorders (DSM). The RDoC has three objectives: Describing how psychological constructs are implemented mechanistically (biologically), increasing the explanatory ability as to why a biological system or neurobiological structure works, and increasing the predictive validity of pathological phenomena. This multi-componential research framework involves interdisciplinary collaboration to uncover new avenues for exploring the etiology, maintenance, and intervention to address one of the field’s greatest challenges: the effective treatment of emotion dysregulation.

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.

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