The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence

Roman Kotov; Robert F. Krueger; David Watson; David C. Cicero; Christopher C. Conway; Colin G. Deyoung; Nicholas R. Eaton; Miriam K. Forbes; Michael N. Hallquist; Robert D. Latzman; Stephanie N. Mullins-Sweatt; Camilo J. Ruggero; Leonard J. Simms; Irwin D. Waldman; Monika A. Waszczuk; Aidan G.C. Wright

doi:10.1146/annurev-clinpsy-081219-093304

The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence

Roman Kotov, Robert F. Krueger, David Watson, David C. Cicero, Christopher C. Conway, Colin G. Deyoung, Nicholas R. Eaton, Miriam K. Forbes, Michael N. Hallquist, Robert D. Latzman, Stephanie N. Mullins-Sweatt, Camilo J. Ruggero, Leonard J. Simms, Irwin D. Waldman, Monika A. Waszczuk, Aidan G.C. Wright

Research output: Contribution to journal › Review article › peer-review

358 Citations (Scopus)

Abstract

Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

Original language	English
Pages (from-to)	83-108
Number of pages	26
Journal	Annual Review of Clinical Psychology
Volume	17
DOIs	https://doi.org/10.1146/annurev-clinpsy-081219-093304
Publication status	Published - 7 May 2021

Keywords

internalizing
externalizing
factor analysis
structure
classification
nosology

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10.1146/annurev-clinpsy-081219-093304

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Kotov, R., Krueger, R. F., Watson, D., Cicero, D. C., Conway, C. C., Deyoung, C. G., Eaton, N. R., Forbes, M. K., Hallquist, M. N., Latzman, R. D., Mullins-Sweatt, S. N., Ruggero, C. J., Simms, L. J., Waldman, I. D., Waszczuk, M. A., & Wright, A. G. C. (2021). The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence. Annual Review of Clinical Psychology, 17, 83-108. https://doi.org/10.1146/annurev-clinpsy-081219-093304

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abstract = "Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.",

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author = "Roman Kotov and Krueger, {Robert F.} and David Watson and Cicero, {David C.} and Conway, {Christopher C.} and Deyoung, {Colin G.} and Eaton, {Nicholas R.} and Forbes, {Miriam K.} and Hallquist, {Michael N.} and Latzman, {Robert D.} and Mullins-Sweatt, {Stephanie N.} and Ruggero, {Camilo J.} and Simms, {Leonard J.} and Waldman, {Irwin D.} and Waszczuk, {Monika A.} and Wright, {Aidan G.C.}",

year = "2021",

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Kotov, R, Krueger, RF, Watson, D, Cicero, DC, Conway, CC, Deyoung, CG, Eaton, NR, Forbes, MK, Hallquist, MN, Latzman, RD, Mullins-Sweatt, SN, Ruggero, CJ, Simms, LJ, Waldman, ID, Waszczuk, MA & Wright, AGC 2021, 'The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence', Annual Review of Clinical Psychology, vol. 17, pp. 83-108. https://doi.org/10.1146/annurev-clinpsy-081219-093304

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AU - Kotov, Roman

AU - Krueger, Robert F.

AU - Watson, David

AU - Cicero, David C.

AU - Conway, Christopher C.

AU - Deyoung, Colin G.

AU - Eaton, Nicholas R.

AU - Forbes, Miriam K.

AU - Hallquist, Michael N.

AU - Latzman, Robert D.

AU - Mullins-Sweatt, Stephanie N.

AU - Ruggero, Camilo J.

AU - Simms, Leonard J.

AU - Waldman, Irwin D.

AU - Waszczuk, Monika A.

AU - Wright, Aidan G.C.

PY - 2021/5/7

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N2 - Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

AB - Traditional diagnostic systems went beyond empirical evidence on the structure of mental health. Consequently, these diagnoses do not depict psychopathology accurately, and their validity in research and utility in clinicalpractice are therefore limited. The Hierarchical Taxonomy of Psychopathology (HiTOP) consortium proposed a model based on structural evidence. It addresses problems of diagnostic heterogeneity, comorbidity, and unreliability. We review the HiTOP model, supporting evidence, and conceptualization of psychopathology in this hierarchical dimensional framework. The system is not yet comprehensive, and we describe the processes for improving and expanding it. We summarize data on the ability of HiTOP to predict and explain etiology (genetic, environmental, and neurobiological), risk factors, outcomes, and treatment response. We describe progress in the development of HiTOP-based measures and in clinical implementation of the system. Finally, we review outstanding challenges and the research agenda. HiTOP is of practical utility already, and its ongoing development will produce a transformative map of psychopathology.

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KW - externalizing

KW - factor analysis

KW - structure

KW - classification

KW - nosology

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JO - Annual Review of Clinical Psychology

JF - Annual Review of Clinical Psychology

ER -

The Hierarchical Taxonomy of Psychopathology (HiTOP): a quantitative nosology based on consensus of evidence

Abstract

Keywords

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