Journal article
Progress in achieving quantitative classification of psychopathology
Annales médico psychologiques, Vol.179(1), pp.95-106
01/01/2021
DOI: 10.1016/j.amp.2020.11.015
PMCID: PMC8309948
PMID: 34305151
Abstract
Shortcomings of approaches to classifying psychopathology based on expert consensus have given rise to contemporary efforts to classify psychopathology quantitatively. In this paper, we review progress in achieving a quantitative and empirical classification of psychopathology. A substantial empirical literature indicates that psychopathology is generally more dimensional than categorical. When the discreteness versus continuity of psychopathology is treated as a research question, as opposed to being decided as a matter of tradition, the evidence clearly supports the hypothesis of continuity. In addition, a related body of literature shows how psychopathology dimensions can be arranged in a hierarchy, ranging from very broad "spectrum level'' dimensions, to specific and narrow clusters of symptoms. In this way, a quantitative approach solves the "problem of comorbidity'' by explicitly modeling patterns of co-occurrence among signs and symptoms within a detailed and variegated hierarchy of dimensional concepts with direct clinical utility. Indeed, extensive evidence pertaining to the dimensional and hierarchical structure of psychopathology has led to the formation of the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium. This is a group of 70 investigators working together to study empirical classification of psychopathology. In this paper, we describe the aims and current foci of the HiTOP Consortium. These aims pertain to continued research on the empirical organization of psychopathology; the connection between personality and psychopathology; the utility of empirically based psychopathology constructs in both research and the clinic; and the development of novel and comprehensive models and corresponding assessment instruments for psychopathology constructs derived from an empirical approach. (C) 2020 Published by Elsevier Masson SAS.
Details
- Title: Subtitle
- Progress in achieving quantitative classification of psychopathology
- Creators
- Robert F. Krueger - University of MinnesotaRoman Kotov - Stony Brook UniversityDavid Watson - University of Notre DameMiriam K. Forbes - Macquarie UniversityNicholas R. Eaton - Stony Brook UniversityCamilo J. Ruggero - University of North TexasLeonard J. Simms - University at Buffalo, State University of New YorkThomas A. Widiger - University of KentuckyThomas M. Achenbach - University of VermontBo Bach - Slagelse HospitalR. Michael Bagby - University of TorontoMarina A. Bornovalova - University of South FloridaWilliam T. Carpenter - University of Maryland, BaltimoreMichael Chmielewski - Southern Methodist UniversityDavid C. Cicero - University of Hawaii SystemLee Anna Clark - University of Notre DameChristopher Conway - William & MaryBarbara DeClercqq - Ghent UniversityColin G. DeYoung - University of MinnesotaAnna R. Docherty - University of UtahLaura E. Drislane - University of MichiganMichael B. First - University of TorontoKelsie T. Forbush - University of KansasMichael Hallquist - Southern Methodist UniversityJohn D. Haltigan - University of TorontoChristopher J. Hopwood - University of California, DavisMasha Y. Ivanova - University of VermontKatherine G. Jonas - Stony Brook UniversityRobert D. Latzman - Georgia State UniversityKristian E. Markon - University of IowaJoshua D. Miller - University of GeorgiaLeslie C. Morey - Texas A&M UniversityStephanie N. Mullins-Sweatt - Oklahoma State UniversityJohan Ormel - University of GroningenPraveetha Patalay - University of LiverpoolChristopher J. Patrick - Florida State UniversityAaron L. Pincus - Pennsylvania State UniversityDarrel A. Regier - Uniformed Services University of the Health SciencesUlrich Reininghaus - Maastricht UniversityLeslie A. Rescorla - Bryn Mawr CollegeDouglas B. Samuel - Purdue University West LafayetteMartin Sellbom - University of OtagoAlexander J. Shackman - University of Maryland, College ParkAndrew Skodol - University of ArizonaTim Slade - UNSW SydneySusan C. South - Northwestern UniversityMatthew Sunderland - UNSW SydneyJennifer L. Tackett - Northwestern UniversityNoah C. Venables - University of MinnesotaIrwin D. Waldman - Emory UniversityMonika A. Waszczuk - Stony Brook UniversityMark H. Waugh - University of Tennessee at KnoxvilleAidan G. C. Wright - University of PittsburghDavid H. Zald - Vanderbilt UniversityJohannes Zimmermann - Psychologische Hochschule Berlin
- Resource Type
- Journal article
- Publication Details
- Annales médico psychologiques, Vol.179(1), pp.95-106
- DOI
- 10.1016/j.amp.2020.11.015
- PMID
- 34305151
- PMCID
- PMC8309948
- NLM abbreviation
- Ann Med Psychol (Paris)
- ISSN
- 0003-4487
- eISSN
- 1769-6631
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- R21 DA040717 / NIDA NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Drug Abuse (NIDA) R01 MH121409; L30 MH101760; R01 MH123619; K01 MH109765; R01 MH107444 / NIMH NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) R01 AG053217 / NIA NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
- Language
- French
- Date published
- 01/01/2021
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984627209202771
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