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Three Approaches to Understanding and Classifying Mental Disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC):

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TLDR
This work identifies four key issues that present challenges to understanding and classifying mental disorder and discusses how the three systems’ approaches to these key issues correspond or diverge as a result of their different histories, purposes, and constituencies.
Abstract
The diagnosis of mental disorder initially appears relatively straightforward: Patients present with symptoms or visible signs of illness; health professionals make diagnoses based primarily on these symptoms and signs; and they prescribe medication, psychotherapy, or both, accordingly. However, despite a dramatic expansion of knowledge about mental disorders during the past half century, understanding of their components and processes remains rudimentary. We provide histories and descriptions of three systems with different purposes relevant to understanding and classifying mental disorder. Two major diagnostic manuals-the International Classification of Diseases and the Diagnostic and Statistical Manual of Mental Disorders-provide classification systems relevant to public health, clinical diagnosis, service provision, and specific research applications, the former internationally and the latter primarily for the United States. In contrast, the National Institute of Mental Health's Research Domain Criteria provides a framework that emphasizes integration of basic behavioral and neuroscience research to deepen the understanding of mental disorder. We identify four key issues that present challenges to understanding and classifying mental disorder: etiology, including the multiple causality of mental disorder; whether the relevant phenomena are discrete categories or dimensions; thresholds, which set the boundaries between disorder and nondisorder; and comorbidity, the fact that individuals with mental illness often meet diagnostic requirements for multiple conditions. We discuss how the three systems' approaches to these key issues correspond or diverge as a result of their different histories, purposes, and constituencies. Although the systems have varying degrees of overlap and distinguishing features, they share the goal of reducing the burden of suffering due to mental disorder.

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All for One and One for All: Mental Disorders in One Dimension.

TL;DR: The authors summarize the history of the unidimensional idea, review modern research into p, demystify statistical models, articulate some implications of p for prevention and clinical practice, and outline a transdiagnostic research agenda.
Journal ArticleDOI

Progress in achieving quantitative classification of psychopathology

Robert F. Krueger, +54 more
- 01 Oct 2018 - 
TL;DR: The aims and current foci of the HiTOP Consortium, a group of 70 investigators working together to study empirical classification of psychopathology, are described, which pertain to continued research on the empirical organization of psychopathological constructs; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic.

Genetic Risk for Autism Spectrum Disorders and Neuropsychiatric Variation in the General Population

TL;DR: The authors found genome-wide genetic links between autism spectrum disorders and typical variation in social behavior and adaptive functioning through LD score correlation and de novo variant analysis, indicating that multiple types of genetic risk for ASDs influence a continuum of behavioral and developmental traits, the severe tail of which can result in diagnosis with an ASD or other neuropsychiatric disorder.
References
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Journal ArticleDOI

Diagnostic and Statistical Manual of Mental Disorders

TL;DR: An issue concerning the criteria for tic disorders is highlighted, and how this might affect classification of dyskinesias in psychotic spectrum disorders.
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A rating scale for depression

TL;DR: The present scale has been devised for use only on patients already diagnosed as suffering from affective disorder of depressive type, used for quantifying the results of an interview, and its value depends entirely on the skill of the interviewer in eliciting the necessary information.
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The PHQ-9: validity of a brief depression severity measure.

TL;DR: In addition to making criteria-based diagnoses of depressive disorders, the PHQ-9 is also a reliable and valid measure of depression severity, which makes it a useful clinical and research tool.
Journal ArticleDOI

International Statistical Classification of Diseases and Related Health Problems

TL;DR: There is substantial global variation in the relative burden of stroke compared with IHD, and the disproportionate burden from stroke for many lower-income countries suggests that distinct interventions may be required.
Journal ArticleDOI

Research diagnostic criteria: Rationale and reliability.

TL;DR: The development and initial reliability studies of a set of specific diagnostic criteria for a selected group of functional psychiatric disorders, the Research Diagnostic Criteria (RDC), indicate high reliability for diagnostic judgments made using these criteria.
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