Journal article
Reconstructing Psychopathology: A Data-Driven Reorganization of the Symptoms in the Diagnostic and Statistical Manual of Mental Disorders
Clinical psychological science, Vol.13(3), pp.462-488
05/2025
DOI: 10.1177/21677026241268345
PMCID: PMC12711323
PMID: 41415680
Abstract
In this study, we reduced the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders ( DSM-5) to its constituent symptoms and reorganized them based on patterns of covariation in individuals’ ( N = 14,762) self-reported experiences of the symptoms to form an empirically derived hierarchical framework of clinical phenomena. Specifically, we used the points of agreement among hierarchical principal components analyses and hierarchical clustering as well as between the randomly split primary ( n = 11,762) and hold-out ( n = 3,000) samples to identify the robust constructs that emerged to form a hierarchy ranging from symptoms and syndromes up to very broad superspectra of psychopathology. The resulting model had noteworthy convergence with the upper levels of the Hierarchical Taxonomy of Psychopathology (HiTOP) framework and substantially expands on HiTOP’s current coverage of dissociative, elimination, sleep–wake, trauma-related, neurodevelopmental, and neurocognitive disorder symptoms. We also mapped some exemplar DSM-5 disorders onto our hierarchy; some formed coherent syndromes, whereas others were notably heterogeneous.
Details
- Title: Subtitle
- Reconstructing Psychopathology: A Data-Driven Reorganization of the Symptoms in the Diagnostic and Statistical Manual of Mental Disorders
- Creators
- Miriam K. Forbes - Macquarie UniversityAndrew Baillie - Sydney Local Health DistrictPhilip J. Batterham - Australian National UniversityAlison Calear - Australian National UniversityRoman Kotov - Stony Brook UniversityRobert F. Krueger - University of MinnesotaKristian E. Markon - University of IowaLouise Mewton - The University of SydneyElizabeth Pellicano - University College LondonMatthew Roberts - Macquarie UniversityCraig Rodriguez-Seijas - University of MichiganMatthew Sunderland - The University of SydneyDavid Watson - University of Notre DameAshley L. Watts - Vanderbilt UniversityAidan G. C. Wright - University of MichiganLee Anna Clark - University of Iowa, Psychological and Brain Sciences
- Resource Type
- Journal article
- Publication Details
- Clinical psychological science, Vol.13(3), pp.462-488
- DOI
- 10.1177/21677026241268345
- PMID
- 41415680
- PMCID
- PMC12711323
- NLM abbreviation
- Clin Psychol Sci
- ISSN
- 2167-7026
- eISSN
- 2167-7034
- Publisher
- SAGE PUBLICATIONS INC
- Grant note
- Australian National Health and Medical Research Council: GNT1194292
This study was funded by Investigator Grant from the Australian National Health and Medical Research Council (Grant GNT1194292).
- Language
- English
- Electronic publication date
- 10/17/2024
- Date published
- 05/2025
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984738556302771
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