Introduction

Statistical Manual ◽

Internet Treatment ◽

Previous Edition ◽

Treatment Considerations ◽

Selective Eating ◽

This chapter provides a brief introduction to and overview of the contents of the Handbook. Several issues are highlighted, including changes since the previous edition of this volume, namely, the revised Diagnostic and Statistical Manual (DSM-5); the research domain criteria (RDoC), and recent technological innovations such as Internet treatment and the use of virtual reality related to eating disorders. Chapters on selective eating, bariatric surgery, and cognitive remediation have also been added. Themes carried forward from the previous edition of the Handbook are presented in updated chapters reviewing etiological, maintenance, assessment, comorbidity, medical complications, and pharmacotherapy, as well as evidence-based prevention and treatment considerations.

Can psychopathology and neuroscience coexist in psychiatric classifications?

Dialogues in Clinical Neuroscience ◽

10.31887/dcns.2018.20.3/macrocq ◽

2018 ◽

Vol 20 (3) ◽

pp. 155-160 ◽

Cited By ~ 4

Keyword(s):

Brain Research ◽

18Th Century ◽

Important Goal ◽

Emil Kraepelin ◽

Statistical Manual ◽

Dsm 5 ◽

Late 18Th Century ◽

A crisis of confidence was triggered by the disappointment that diagnostic validity, an important goal, was not achieved with the publication of Diagnostic and Statistical Manual of Mental Disorders (DSM-5). The Research Domain Criteria (RDoC) project, which provides a framework for neuroscientific research, was initially conceptualized as an alternative to DSM. However, RDoC and DSM are complementary rather than mutually exclusive. From a historical perspective, this article argues that the debate opposing psychology and brain in psychiatric classification is not new and has an air of déjà vu. We go back to the first classifications based on a scientific taxonomy in the late 18th century with Boissier de Sauvages, which were supposed to describe diseases as they really existed in nature. Emil Kraepelin successfully associated psychopathology and brain research, prefiguring the interaction between DSM and RDoC. DSM symptoms remain valuable because they are the only data that are immediately and directly observable. Computational science is a promising instrument to interconnect psychopathological and neuroscientific data in the future.

Current diagnostic criteria

10.1093/med/9780198739258.003.0014 ◽

2018 ◽

Author(s):

Luis Augusto Rohde ◽

Christian Kieling ◽

Giovanni Abrahão Salum

Keyword(s):

International Classification Of Diseases ◽

Statistical Manual ◽

Adhd Diagnosis ◽

Classification Of Diseases ◽

History Of ◽

Research Domain ◽

Clinical Category

In this chapter we describe the history of ADHD diagnosis and how it is currently conceptualized in two main classificatory manuals: the Diagnostic and Statistical Manual for the Mental Disorders (DSM) and the International Classification of Diseases (ICD). We also outline differences between DSM and ICD manuals and review discussions in the realm of the 11th edition of the ICD, in its journey to increase clinical utility. Lastly, we discuss the research domain criteria and how this initiative might affect ADHD diagnosis in the future. We conclude by offering a perspective that acknowledges both the limitations of our current classificatory systems, but also points out their paramount importance to clinical practice. ADHD, as currently defined by DSM and ICD, is a well validated clinical category and a useful diagnosis for communication among practitioners, researchers, and for selecting treatments and care for patients.

Future Directions in Research and Treatment of Emotion Dysregulation

The Oxford Handbook of Emotion Dysregulation ◽

10.1093/oxfordhb/9780190689285.013.33 ◽

2019 ◽

pp. 476-486

Author(s):

Theodore P. Beauchaine ◽

Hunter Hahn ◽

Sheila E. Crowell

Keyword(s):

Emotion Dysregulation ◽

Treatment Programs ◽

Future Research ◽

Future Directions ◽

Statistical Manual ◽

Target Emotion ◽

Goal Directed Behavior ◽

This chapter discusses themes that emerged while editing the Oxford Handbook of Emotion Dysregulation and outlines directions for future research. Although the term emotion dysregulation has at times been used amorphously in the literature, most authors now define the phenomenon as experiences and expressions of emotion that interfere with situationally appropriate, goal-directed behavior. Situational embedding of emotion dysregulation is important given very different expectations of appropriate emotional expression across contexts and cultures. Despite emerging consensus regarding emotion dysregulation as a construct, several challenges lie ahead. Major tasks for the field are to (1) abandon implicit notions of emotion dysregulation in favor of formally operationalized definitions, such as that provided earlier; (2) maintain a clear distinction between emotion dysregulation versus mood dysregulation; (3) map transdiagnostic features of emotion dysregulation across functional domains of behavior such as those instantiated in the Research Domain Criteria matrix and, where appropriate, syndromes in the Diagnostic and Statistical Manual of Mental Disorders; (4) further develop prevention and treatment programs that systematically target emotion dysregulation across development; and (5) extend emotion dysregulation research to stigmatized groups in an effort to identify mechanisms of mental health disparities. Chapters in this volume address these issues and advance the science of emotion dysregulation in new and exciting ways.

Differences among Research Domain Criteria score trajectories by Diagnostic and Statistical Manual categorical diagnosis during inpatient hospitalization

PLoS ONE ◽

10.1371/journal.pone.0237698 ◽

2020 ◽

Vol 15 (8) ◽

pp. e0237698

Author(s):

Thomas H. McCoy ◽

Amelia M. Pellegrini ◽

Roy H. Perlis

Keyword(s):

Inpatient Hospitalization ◽

Statistical Manual ◽

Categorical Diagnosis ◽

Clinical Heterogeneity Arising from Categorical and Dimensional Features of the Neurobiology of Psychiatric Diagnoses

Computational Psychiatry ◽

10.7551/mitpress/9780262035422.003.0016 ◽

2016 ◽

Cited By ~ 1

Author(s):

John H. Krystal ◽

Alan Anticevic ◽

John D. Murray ◽

David Glahn ◽

Naomi Driesen ◽

...

Keyword(s):

Computational Neuroscience ◽

American Psychiatric Association ◽

Psychiatric Diagnoses ◽

Clinical Heterogeneity ◽

Statistical Manual ◽

Limited Ability ◽

Research Domain ◽

Shed Light

Clinical heterogeneity presents important challenges to optimizing psychiatric diagnoses and treatments. Patients clustered within current diagnostic schema vary widely on many features of their illness, including their responses to treatments. As outlined by the American Psychiatric Association Diagnostic and Statistical Manual (DSM), psychiatric diagnoses have been refined since DSM was introduced in 1952. These diagnoses serve as the targets for current treatments and supported the emergence of psychiatric genomics. However, the Research Domain Criteria highlight DSM’s shortcomings, including its limited ability to encompass dimensional features linking patients across diagnoses. This chapter considers elements of the dimensional and categorical features of psychiatric diagnoses, with a particular focus on schizophrenia. It highlights ways that computational neuroscience approaches have shed light on both dimensional and categorical features of the biology of schizophrenia. It also considers opportunities and challenges associated with attempts to reduce clinical heterogeneity through categorical and dimensional approaches to clustering patients. Finally, discussion will consider ways that one might work with both approaches in parallel or sequentially, as well as diagnostic schema that might integrate both perspectives.

Cells, Circuits, and Syndromes: A Critical Commentary on the NIMH Research Domain Criteria Project

Ethical Human Psychology and Psychiatry ◽

10.1891/1559-4343.13.3.229 ◽

2012 ◽

Vol 13 (3) ◽

pp. 229-236 ◽

Cited By ~ 7

Author(s):

Niall McLaren

Keyword(s):

Mental Health ◽

Mental Disorders ◽

Research Program ◽

Statistical Manual ◽

Critical Commentary ◽

The Us ◽

New Research ◽

The US National Institute of Mental Health (NIMH) has recently declared a new research program for psychiatry, the Research Domain Criteria (RDoC), as the successor of the long-standing Diagnostic and Statistical Manual of Mental Disorders (DSM) diagnostic program. However, the new program is based on a series of assumptions that, on analysis, lack any formal scientific standing. Essentially, as presently conceptualized, the RDoC program is no more than ideology masquerading as science, and thus cannot achieve its stated goals. It is argued that the program will lead psychiatry into intellectually sterile areas because it is in fact the wrong research program for the present state of our knowledge.

Classificação psiquiátrica: tensionamento atual entre realismo e nominalismo

Physis Revista de Saúde Coletiva ◽

10.1590/s0103-73312021310328 ◽

2021 ◽

Vol 31 (3) ◽

Author(s):

Rogério da Silva Paes Henriques

Keyword(s):

Mental Disorders ◽

Statistical Manual ◽

Dsm 5 ◽

Resumo Apresenta-se o “nominalismo dinâmico” de Hacking, aplicado à classificação psiquiátrica, como exemplo ilustrativo de síntese entre realismo e nominalismo. Expõem-se as perspectivas realistas inscritas tanto moderadamente na proposta híbrida do Diagnostic and Statistical Manual of Mental Disorders (DSM-5), quanto fortemente na proposta naturalista de seus concorrentes: Research Domain Criteria (RDoC) e Hierarchical Taxonomy of Psychopathology (HiTOP). Aponta-se o principal efeito do naturalismo aplicado à classificação psiquiátrica, que consiste no abandono do hibridismo entre realismo e nominalismo, em prol de uma cartografia do mental que, com recurso à matemática, reivindica-se estritamente realista, respondendo a demanda por maior precisão da bipsiquiatria.

Classification and Diagnosis of Psychopathology

10.1093/oxfordhb/9780190634841.013.4 ◽

2018 ◽

Author(s):

Peter Muris

Keyword(s):

Mental Health ◽

Mental Disorders ◽

Classification System ◽

Mental Health Problems ◽

Network Approach ◽

Statistical Manual ◽

Pros And Cons ◽

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.

Alternative Models of Psychopathology: The Diagnostic and Statistical Manual of Mental Disorders, the Hierarchical Taxonomy of Psychopathology, Research Domain Criteria, Network Analysis, the Cambridge Model, and the Five-Factor Model

Clinical Psychological Science ◽

10.1177/2167702621989351 ◽

2021 ◽

pp. 216770262198935

Author(s):

Thomas A. Widiger

Keyword(s):

Personality Disorder ◽

Network Analysis ◽

Mental Disorders ◽

Factor Model ◽

Five Factor Model ◽

Statistical Manual ◽

Wilshire, Ward, and Clark (this issue, p. ♦♦♦) critiqued the classification of psychopathology in the Diagnostic and Statistical Manual of Mental Disorders, offering as an alternative a “Cambridge model” that focuses on symptoms rather than syndromes. They compared their model with additional alternatives, such as the Research Domain Criteria, the Hierarchical Taxonomy of Psychopathology, and network analysis. In this commentary, I offer further comparisons, considering as well the five-factor model alternative to the DSM syndromal classification of personality disorder.

Compulsivity, impulsivity, and the DSM-5 process

CNS Spectrums ◽

10.1017/s1092852913000722 ◽

2013 ◽

Vol 19 (1) ◽

pp. 62-68 ◽

Cited By ~ 38

Author(s):

Gregory S. Berlin ◽

Eric Hollander

Keyword(s):

International Classification Of Diseases ◽

Field Trials ◽

Statistical Manual ◽

Dsm 5 ◽

Literature Reviews ◽

Symptom Domains ◽

Classification Of Diseases ◽

Compulsivity and impulsivity are cross-cutting, dimensional symptom domains that span traditional diagnostic boundaries. We examine compulsivity and impulsivity from several perspectives and present implications for these symptom domains as they relate to classification. We describe compulsivity and impulsivity as general concepts, from the perspectives of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) Research Planning Agenda, and from the DSM-5 workgroups, literature reviews, and field trials. Finally, we detail alternative modes of classification for compulsivity and impulsivity in line with the Research Domain Criteria (RDoC) and International Classification of Diseases (ICD-11).