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Progress in achieving quantitative classification of psychopathology

  • Robert F. Krueger
  • , Roman Kotov
  • , David Watson
  • , Miriam K. Forbes
  • , Nicholas R. Eaton
  • , Camilo J. Ruggero
  • , Leonard J. Simms
  • , Thomas A. Widiger
  • , Thomas M. Achenbach
  • , Bo Bach
  • , R. Michael Bagby
  • , Marina A. Bornovalova
  • , William T. Carpenter
  • , Michael Chmielewski
  • , David C. Cicero
  • , Lee Anna Clark
  • , Christopher Conway
  • , Barbara DeClercq
  • , Colin G. DeYoung
  • , Anna R. Docherty
  • Laura E. Drislane, Michael B. First, Kelsie T. Forbush, Michael Hallquist, John D. Haltigan, Christopher J. Hopwood, Masha Y. Ivanova, Katherine G. Jonas, Robert D. Latzman, Kristian E. Markon, Joshua D. Miller, Leslie C. Morey, Stephanie N. Mullins-Sweatt, Johan Ormel, Praveetha Patalay, Christopher J. Patrick, Aaron L. Pincus, Darrel A. Regier, Ulrich Reininghaus, Leslie A. Rescorla, Douglas B. Samuel, Martin Sellbom, Alexander J. Shackman, Andrew Skodol, Tim Slade, Susan C. South, Matthew Sunderland, Jennifer L. Tackett, Noah C. Venables, Irwin D. Waldman, Monika A. Waszczuk, Mark H. Waugh, Aidan G.C. Wright, David H. Zald, Johannes Zimmermann
  • University of Minnesota Twin Cities
  • Stony Brook University
  • University of Notre Dame
  • Macquarie University
  • University of North Texas
  • University of Kentucky
  • University of Vermont
  • Slagelse Psychiatric Hospital
  • University of Toronto
  • University of South Florida
  • University of Maryland, Baltimore
  • Southern Methodist University
  • University of Hawai'i at Mānoa
  • College of William and Mary
  • Ghent University
  • University of Utah
  • University of Michigan, Ann Arbor
  • Columbia University
  • University of Kansas
  • Pennsylvania State University
  • University of California at Davis
  • Georgia State University
  • University of Iowa
  • University of Georgia
  • Texas A&M University
  • Oklahoma State University
  • University of Groningen
  • University of Liverpool
  • Florida State University
  • Uniformed Services University of the Health Sciences
  • Maastricht University
  • Bryn Mawr College
  • Purdue University
  • University of Otago
  • University of Maryland, College Park
  • University of Arizona
  • University of New South Wales
  • Northwestern University
  • Emory University
  • Oak Ridge National Laboratory
  • University of Pittsburgh
  • Vanderbilt University
  • Berlin Psychological University

Research output: Contribution to journalReview articlepeer-review

397 Scopus citations

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.

Original languageEnglish
Pages (from-to)282-293
Number of pages12
JournalWorld Psychiatry
Volume17
Issue number3
DOIs
StatePublished - Oct 2018

Keywords

  • DSM
  • Hierarchical Taxonomy of Psychopathology
  • ICD
  • Psychopathology
  • RDoC
  • classification
  • clinical utility
  • dimensions
  • mental disorder
  • nosology
  • personality

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