Abstract
The Hierarchical Taxonomy of Psychopathology (HiTOP) has emerged out of the quantitative approach to psychiatric nosology. This approach identifies psychopathology constructs based on patterns of co-variation among signs and symptoms. The initial HiTOP model, which was published in 2017, is based on a large literature that spans decades of research. HiTOP is a living model that undergoes revision as new data become available. Here we discuss advantages and practical considerations of using this system in psychiatric practice and research. We especially highlight limitations of HiTOP and ongoing efforts to address them. We describe differences and similarities between HiTOP and existing diagnostic systems. Next, we review the types of evidence that informed development of HiTOP, including populations in which it has been studied and data on its validity. The paper also describes how HiTOP can facilitate research on genetic and environmental causes of psychopathology as well as the search for neurobiologic mechanisms and novel treatments. Furthermore, we consider implications for public health programs and prevention of mental disorders. We also review data on clinical utility and illustrate clinical application of HiTOP. Importantly, the model is based on measures and practices that are already used widely in clinical settings. HiTOP offers a way to organize and formalize these techniques. This model already can contribute to progress in psychiatry and complement traditional nosologies. Moreover, HiTOP seeks to facilitate research on linkages between phenotypes and biological processes, which may enable construction of a system that encompasses both biomarkers and precise clinical description.
Original language | English (US) |
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Pages (from-to) | 1666-1678 |
Number of pages | 13 |
Journal | Psychological medicine |
Volume | 52 |
Issue number | 9 |
DOIs | |
State | Published - Jul 2 2022 |
Bibliographical note
Funding Information:This work was supported by the National Institute of Mental Health (LJS & RK, grant number R01MH122537, and KGJ, grant number R21MH123908).
Publisher Copyright:
Copyright © The Author(s), 2022. Published by Cambridge University Press.
Keywords
- Classification
- dimensional
- externalizing
- internalizing
- nosology