| Literature DB >> 30844330 |
Christopher C Conway1, Miriam K Forbes2, Kelsie T Forbush3, Eiko I Fried4, Michael N Hallquist5, Roman Kotov6, Stephanie N Mullins-Sweatt7, Alexander J Shackman8, Andrew E Skodol9, Susan C South10, Matthew Sunderland11, Monika A Waszczuk6, David H Zald12, Mohammad H Afzali13, Marina A Bornovalova14, Natacha Carragher15, Anna R Docherty16, Katherine G Jonas6, Robert F Krueger17, Praveetha Patalay18, Aaron L Pincus5, Jennifer L Tackett19, Ulrich Reininghaus20,21, Irwin D Waldman22, Aidan G C Wright23, Johannes Zimmermann24, Bo Bach25, R Michael Bagby26, Michael Chmielewski27, David C Cicero28, Lee Anna Clark29, Tim Dalgleish30, Colin G DeYoung17, Christopher J Hopwood31, Masha Y Ivanova32, Robert D Latzman33, Christopher J Patrick34, Camilo J Ruggero35, Douglas B Samuel10, David Watson29, Nicholas R Eaton36.
Abstract
For more than a century, research on psychopathology has focused on categorical diagnoses. Although this work has produced major discoveries, growing evidence points to the superiority of a dimensional approach to the science of mental illness. Here we outline one such dimensional system-the Hierarchical Taxonomy of Psychopathology (HiTOP)-that is based on empirical patterns of co-occurrence among psychological symptoms. We highlight key ways in which this framework can advance mental-health research, and we provide some heuristics for using HiTOP to test theories of psychopathology. We then review emerging evidence that supports the value of a hierarchical, dimensional model of mental illness across diverse research areas in psychological science. These new data suggest that the HiTOP system has the potential to accelerate and improve research on mental-health problems as well as efforts to more effectively assess, prevent, and treat mental illness.Entities:
Keywords: DSM; HiTOP; Hierarchical Taxonomy of Psychopathology; ICD; RDoC; individual differences; mental illness; nosology; transdiagnostic
Mesh:
Year: 2019 PMID: 30844330 PMCID: PMC6497550 DOI: 10.1177/1745691618810696
Source DB: PubMed Journal: Perspect Psychol Sci ISSN: 1745-6916