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The Hierarchical Taxonomy of Psychopathology (HiTOP) in psychiatric practice and research

Published online by Cambridge University Press:  02 June 2022

Roman Kotov Open the ORCID record for Roman Kotov [Opens in a new window] ,
David C. Cicero ,
Christopher C. Conway ,
Colin G. DeYoung ,
Alexandre Dombrovski ,
Nicholas R. Eaton ,
Michael B. First ,
Miriam K. Forbes ,
Steven E. Hyman  and
Katherine G. Jonas
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Roman Kotov*
Affiliation:
Stony Brook University, Stony Brook, New York, USA
David C. Cicero
Affiliation:
University of North Texas, Denton, Texas, USA
Christopher C. Conway
Affiliation:
Fordham University, New York, New York, USA
Colin G. DeYoung
Affiliation:
University of Minnesota, Minneapolis, Minnesota, USA
Alexandre Dombrovski
Affiliation:
University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Nicholas R. Eaton
Affiliation:
Stony Brook University, Stony Brook, New York, USA
Michael B. First
Affiliation:
Columbia University College of Physicians and Surgeons, New York, New York, USA New York State Psychiatric Institute, New York, New York, USA
Miriam K. Forbes
Affiliation:
Macquarie University, Sydney, Australia
Steven E. Hyman
Affiliation:
Stanley Center for Psychiatric Research at the Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
Katherine G. Jonas
Affiliation:
Stony Brook University, Stony Brook, New York, USA
Robert F. Krueger
Affiliation:
University of Minnesota, Minneapolis, Minnesota, USA
Robert D. Latzman
Affiliation:
Takeda, Cambridge, Massachusetts, USA
James J. Li
Affiliation:
University of Wisconsin-Madison, Madison, Wisconsin, USA
Brady D. Nelson
Affiliation:
Stony Brook University, Stony Brook, New York, USA
Darrel A. Regier
Affiliation:
Uniformed Services University, Bethesda, Maryland, USA Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, Maryland, USA
Craig Rodriguez-Seijas
Affiliation:
University of Michigan, Ann Arbor, Michigan, USA
Camilo J. Ruggero
Affiliation:
University of North Texas, Denton, Texas, USA
Leonard J. Simms
Affiliation:
University at Buffalo, Buffalo, NY, USA
Andrew E. Skodol
Affiliation:
University of Arizona College of Medicine, Tucson, Arizona, USA
Irwin D. Waldman
Affiliation:
Emory University, Atlanta, Georgia, USA
Monika A. Waszczuk
Affiliation:
Rosalind Franklin University of Medicine and Science, North Chicago, Illinois, USA
David Watson
Affiliation:
University of Notre Dame, Notre Dame, IN, USA
Thomas A. Widiger
Affiliation:
University of Kentucky, Lexington, Kentucky, USA
Sylia Wilson
Affiliation:
University of Minnesota, Minneapolis, Minnesota, USA
Aidan G. C. Wright
Affiliation:
University of Pittsburgh, Pittsburgh, Pennsylvania, USA
*
Author for correspondence: Roman Kotov, E-mail: roman.kotov@stonybrook.edu
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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.

Keywords

Classificationdimensionalexternalizinginternalizingnosology
Type
Invited Review
Information
Psychological Medicine , Volume 52 , Issue 9 , July 2022 , pp. 1666 - 1678
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Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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References

Achenbach, T. M. (1966). The classification of children's psychiatric symptoms: A factor-analytic study. Psychological Monographs: General and Applied, 80, 1–37.CrossRefGoogle ScholarPubMed
Agarwal, S., Jacobs, D. R., Vaidya, D., Sibley, C. T., Jorgensen, N. W., Rotter, J. I., … Herrington, D. M. (2012). Metabolic syndrome derived from principal component analysis and incident cardiovascular events: The multi ethnic study of atherosclerosis (MESA) and health, aging, and body composition (Health ABC). Cardiology Research and Practice, 2012, 1–9.Google Scholar
Aitken, M., Haltigan, J. D., Szatmari, P., Dubicka, B., Fonagy, P., Kelvin, R., … Goodyer, I. M. (2020). Toward precision therapeutics: General and specific factors differentiate symptom change in depressed adolescents. Journal of Child Psychology and Psychiatry, 61(9), 998–1008.CrossRefGoogle ScholarPubMed
American Diabetes Association. (2010). Diagnosis and classification of diabetes mellitus. Diabetes Care, 33(Suppl. 1), S62–S69.CrossRefGoogle Scholar
American Psychiatric Association. (2021). Clinical Practice Guidelines. Retrieved from https://www.psychiatry.org/psychiatrists/practice/clinical-practice-guidelines.Google Scholar
Andreasen, N. C. (2007). DSM and the death of phenomenology in America: An example of unintended consequences. Schizophrenia Bulletin, 33(1), 108–112.CrossRefGoogle ScholarPubMed
Andrews, G., Goldberg, D. P., Krueger, R. F., Carpenter, W. T., Hyman, S. E., Sachdev, P., & Pine, D. S. (2009). Exploring the feasibility of a meta-structure for DSM-V and ICD-11: Could it improve utility and validity?: Paper 1 of 7 of the thematic section: ‘A proposal for a meta-structure for DSM-V and ICD-11’. Psychological Medicine, 39(12), 1993–2000.CrossRefGoogle Scholar
Arango, C., Díaz-Caneja, C. M., McGorry, P. D., Rapoport, J., Sommer, I. E., Vorstman, J. A., … Carpenter, W. (2018). Preventive strategies for mental health. The Lancet Psychiatry, 5, 591–604.CrossRefGoogle ScholarPubMed
Bagby, R. M., Gralnick, T. M., Al-Dajani, N., & Uliaszek, A. A. (2016). The role of the five-factor model in personality assessment and treatment planning. Clinical Psychology: Science and Practice, 23(4), 365–381.Google Scholar
Barlow, D. H., Farchione, T. J., Bullis, J. R., Gallagher, M. W., Murray-Latin, H., Sauer-Zavala, S., … Cassiello-Robbins, C. (2017). The unified protocol for transdiagnostic treatment of emotional disorders compared with diagnosis-specific protocols for anxiety disorders: A randomized clinical trial. JAMA Psychiatry, 74(9), 875–884.CrossRefGoogle ScholarPubMed
Bornstein, R. F., & Natoli, A. P. (2019). Clinical utility of categorical and dimensional perspectives on personality pathology: A meta-analytic review. Personality Disorders: Theory, Research, and Treatment, 10(6), 479–490.CrossRefGoogle ScholarPubMed
Bromet, E. J., Kotov, R., Fochtmann, L. J., Carlson, G. A., Tanenberg-Karant, M., Ruggero, C., & Chang, S. W. (2011). Diagnostic shifts during the decade following first admission for psychosis. American Journal of Psychiatry, 168, 1186–1194.CrossRefGoogle Scholar
Cai, N., Revez, J. A., Adams, M. J., Andlauer, T. F., Breen, G., Byrne, E. M., … Flint, J. (2020). Minimal phenotyping yields genome-wide association signals of low specificity for major depression. Nature Genetics, 52(4), 437–447.CrossRefGoogle ScholarPubMed
Canady, V. A. (2020). FDA approves esketamine treatment for MDD, suicidal ideation. Mental Health Weekly, 30(31), 6–7.Google Scholar
Carlucci, L., Aristide, S., & Michela, B. (2021). On the efficacy of the Barlow unified protocol for transdiagnostic treatment of emotional disorders: A systematic review and meta-analysis. Clinical Psychology Review, 101999.CrossRefGoogle Scholar
Caspi, A., Houts, R. M., Ambler, A., Danese, A., Elliott, M. L., Hariri, A., … Moffitt, T. E. (2020). Longitudinal assessment of mental health disorders and comorbidities across 4 decades among participants in the dunedin birth cohort study. JAMA Network Open, 3, e203221–e203221.CrossRefGoogle ScholarPubMed
Cervin, M., Norris, L. A., Ginsburg, G., Gosch, E. A., Compton, S. N., Piacentini, J., … Kendall, P. C. (2021). The p factor consistently predicts long-term psychiatric and functional outcomes in anxiety-disordered youth. Journal of the American Academy of Child & Adolescent Psychiatry, 60(7), 902–912.CrossRefGoogle Scholar
Cipriani, A., Furukawa, T. A., Salanti, G., Chaimani, A., Atkinson, L. Z., Ogawa, Y., … Geddes, J. R. (2018). Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: A systematic review and network meta-analysis. Lancet (London, England), 391(10128), 1357–1366.CrossRefGoogle ScholarPubMed
Clark, L. A., Cuthbert, B., Lewis-Fernández, R., Narrow, W. E., & Reed, G. M. (2017). Three approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the national institute of mental health's Research Domain Criteria (RDoC). Psychological Science in the Public Interest, 18(2), 72–145.CrossRefGoogle Scholar
Clark, L. A., & Watson, D. (2019). Constructing validity: New developments in creating objective measuring instruments. Psychological Assessment, 31, 1412–1427.CrossRefGoogle ScholarPubMed
Constantinou, M. P., Goodyer, I. M., Eisler, I., Butler, S., Kraam, A., Scott, S., … Fonagy, P. (2019). Changes in general and specific psychopathology factors over a psychosocial intervention. Journal of the American Academy of Child & Adolescent Psychiatry, 58(8), 776–786.CrossRefGoogle Scholar
Conway, C. C., Forbes, M. K., Forbush, K. T., Fried, E. I., Hallquist, M. N., Kotov, R., … Eaton, N. R. (2019). A hierarchical taxonomy of psychopathology can transform mental health research. Perspectives on Psychological Science, 14(3), 419–436.CrossRefGoogle ScholarPubMed
Conway, C. C., Raposa, E. B., Hammen, C., & Brennan, P. A. (2018). Transdiagnostic pathways from early social stress to psychopathology: A 20-year prospective study. Journal of Child Psychology and Psychiatry, 59(8), 855–862.CrossRefGoogle ScholarPubMed
Conway, C. C., Snorrason, I., Beard, C., Forgeard, M., Cuthbert, K., & Björgvinsson, T. (2021). A higher order internalizing dimension predicts response to partial hospitalization treatment. Clinical Psychological Science, 9(3), 373–384.CrossRefGoogle Scholar
Costa, P. T. Jr, & McCrae, R. R. (2008). The revised Neo personality inventory (neo-pi-r). In Boyle, G. J., Matthews, G., & Saklofske, D. H. (Eds.), The SAGE handbook of personality theory and assessment, Vol. 2: Personality measurement and testing (pp. 179–198). Los Angeles, CA: SAGE.CrossRefGoogle Scholar
Craske, M. G., Treanor, M., Conway, C. C., Zbozinek, T., & Vervliet, B. (2014). Maximizing exposure therapy: An inhibitory learning approach. Behaviour Research and Therapy, 58, 10–23.CrossRefGoogle Scholar
Cuijpers, P., Sijbrandij, M., Koole, S. L., Andersson, G., Beekman, A. T. F., & Reynolds, C. F. III (2014). Adding psychotherapy to antidepressant medication in depression and anxiety disorders: A meta-analysis. World Psychiatry, 13(1), 56–67.CrossRefGoogle ScholarPubMed
Dalgleish, T., Black, M., Johnston, D., & Bevan, A. (2020). Transdiagnostic approaches to mental health problems: Current status and future directions. Journal of Consulting and Clinical Psychology, 88, 179–195.CrossRefGoogle ScholarPubMed
Donaldson, Z. R., & Hen, R. (2015). From psychiatric disorders to animal models: A bidirectional and dimensional approach. Biological Psychiatry, 77(1), 15–21.CrossRefGoogle ScholarPubMed
Eaton, N. R. (2014). Transdiagnostic psychopathology factors and sexual minority mental health: Evidence of disparities and associations with minority stressors. Psychology of Sexual Orientation and Gender Diversity, 1, 244–254.CrossRefGoogle Scholar
Eaton, N. R. (2020). Measurement and mental health disparities: Psychopathology classification and identity assessment. Personality and Mental Health, 14(1), 76–87.CrossRefGoogle ScholarPubMed
Eaton, N. R., Keyes, K. M., Krueger, R. F., Balsis, S., Skodol, A. E., Markon, K. E., … Hasin, D. S. (2012). An invariant dimensional liability model of gender differences in mental disorder prevalence: Evidence from a national sample. Journal of Abnormal Psychology, 121(1), 282–288.CrossRefGoogle ScholarPubMed
Eaton, N. R., Keyes, K. M., Krueger, R. F., Noordhof, A., Skodol, A. E., Markon, K. E., … Hasin, D. S. (2013). Ethnicity and psychiatric comorbidity in a national sample: Evidence for latent comorbidity factor invariance and connections with disorder prevalence. Social Psychiatry and Psychiatric Epidemiology, 48(5), 701–710.CrossRefGoogle Scholar
Eaton, N. R., Krueger, R. F., & Oltmanns, T. F. (2011). Aging and the structure and long-term stability of the internalizing spectrum of personality and psychopathology. Psychology and Aging, 26(4), 987–993.CrossRefGoogle ScholarPubMed
Edinger, J. D., Arnedt, J. T., Bertisch, S. M., Carney, C. E., Harrington, J. J., Lichstein, K. L., … Martin, J. L. (2021). Behavioral and psychological treatments for chronic insomnia disorder in adults: An American academy of sleep medicine clinical practice guideline. Journal of Clinical Sleep Medicine, 17(2), 255–262.CrossRefGoogle ScholarPubMed
First, M. B., Rebello, T. J., Keeley, J. W., Bhargava, R., Dai, Y., Kulygina, M., … Reed, G. M. (2018). Do mental health professionals use diagnostic classifications the way we think they do? A global survey. World Psychiatry, 17(2), 187–195.CrossRefGoogle ScholarPubMed
First, M. B., & Westen, D. (2007). Classification for clinical practice: How to make ICD and DSM better able to serve clinicians. International Review of Psychiatry, 19(5), 473–481.CrossRefGoogle ScholarPubMed
Forbes, C. N. (2020). New directions in behavioral activation: Using findings from basic science and translational neuroscience to inform the exploration of potential mechanisms of change. Clinical Psychology Review, 79, 101860.CrossRefGoogle ScholarPubMed
Forbes, M. K., Magson, N. R., & Rapee, R. M. (2020). Evidence that different types of peer victimization have equivalent associations with transdiagnostic psychopathology in adolescence. Journal of Youth and Adolescence, 49(3), 590–604.CrossRefGoogle ScholarPubMed
Forbes, M. K., Rapee, R. M., & Krueger, R. F. (2019). Opportunities for the prevention of mental disorders by reducing general psychopathology in early childhood. Behaviour Research and Therapy, 119, 103411.CrossRefGoogle ScholarPubMed
Forbush, K. T., Chen, P. Y., Hagan, K. E., Chapa, D. A., Gould, S. R., Eaton, N. R., & Krueger, R. F. (2018). A new approach to eating-disorder classification: Using empirical methods to delineate diagnostic dimensions and inform care. International Journal of Eating Disorders, 51(7), 710–721.CrossRefGoogle ScholarPubMed
Fox, A. S., Oler, J. A., Shackman, A. J., Shelton, S. E., Raveendran, M., McKay, D. R., … Kalin, N. H. (2015). Intergenerational neural mediators of early-life anxious temperament. Proceedings of the National Academy of Sciences, 112(29), 9118–9122.CrossRefGoogle ScholarPubMed
Frank, E., Nimgaonkar, V. L., Phillips, M. L., & Kupfer, D. J. (2015). All the world'sa (clinical) stage: Rethinking bipolar disorder from a longitudinal perspective. Molecular Psychiatry, 20, 23–31.CrossRefGoogle Scholar
Galatzer-Levy, I. R., & Bryant, R. A. (2013). 636120 Ways to have posttraumatic stress disorder. Perspectives on Psychological Science, 8(6), 651–662.CrossRefGoogle ScholarPubMed
Gosmann, N. P., Costa, M. D. A., Jaeger, M. D. B., Motta, L. S., Frozi, J., Spanemberg, L., … Salum, G. A. (2021). Selective serotonin reuptake inhibitors, and serotonin and norepinephrine reuptake inhibitors for anxiety, obsessive-compulsive, and stress disorders: A 3-level network meta-analysis. PLoS Medicine, 18(6), e1003664.CrossRefGoogle ScholarPubMed
Grotzinger, A. D., Rhemtulla, M., de Vlaming, R., Ritchie, S. J., Mallard, T. T., Hill, W. D., … Tucker-Drob, E. M. (2019). Genomic structural equation modelling provides insights into the multivariate genetic architecture of complex traits. Nature Human Behaviour, 3(5), 513–525.CrossRefGoogle ScholarPubMed
Harvey, P. D. (2012). Clinical applications of neuropsychological assessment. Dialogues in Clinical Neuroscience, 14(1), 91–99.CrossRefGoogle ScholarPubMed
Haslam, N., McGrath, M. J., Viechtbauer, W., & Kuppens, P. (2020). Dimensions over categories: A meta-analysis of taxometric research. Psychological Medicine, 50, 1418–1432.CrossRefGoogle ScholarPubMed
Hasler, G., Drevets, W. C., Manji, H. K., & Charney, D. S. (2004). Discovering endophenotypes for major depression. Neuropsychopharmacology, 29, 1765–1781.CrossRefGoogle ScholarPubMed
He, Q., & Li, J. J. (2021). Factorial invariance in hierarchical factor models of mental disorders in African American and European American youths. Journal of Child Psychology and Psychiatry, 62(3), 289–298.CrossRefGoogle ScholarPubMed
Hoertel, N., McMahon, K., Olfson, M., Wall, M. M., Rodríguez-Fernández, J. M., Lemogne, C., … Blanco, C. (2015). A dimensional liability model of age differences in mental disorder prevalence: Evidence from a national sample. Journal of Psychiatric Research, 64, 107–113.CrossRefGoogle ScholarPubMed
Hur, J., Stockbridge, M. D., Fox, A. S., & Shackman, A. J. (2019). Dispositional negativity, cognition, and anxiety disorders: An integrative translational neuroscience framework. Progress in Brain Research, 247, 375–436.CrossRefGoogle ScholarPubMed
Hyman, S. E. (2007). Can neuroscience be integrated into the DSM-V? Nature Reviews Neuroscience, 8(9), 725–732.CrossRefGoogle ScholarPubMed
Ivanova, M. Y., Achenbach, T. M., Dumenci, L., Rescorla, L. A., Almqvist, F., Weintraub, S., … Verhulst, F. C. (2007). Testing the 8-syndrome structure of the child behavior checklist in 30 societies. Journal of Clinical Child and Adolescent Psychology, 36(3), 405–417.CrossRefGoogle ScholarPubMed
Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Guo, J., Althoff, R. R., Kan, K. J., … Verhulst, F. C. (2019). Testing syndromes of psychopathology in parent and youth ratings across societies. Journal of Clinical Child & Adolescent Psychology, 48(4), 596–609.CrossRefGoogle ScholarPubMed
Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Turner, L. V., Árnadóttir, H. A., Au, A., … Zasępa, E. (2015). Syndromes of collateral-reported psychopathology for ages 18–59 in 18 societies. International Journal of Clinical and Health Psychology, 15(1), 18–28.CrossRefGoogle ScholarPubMed
James, S. L., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., … Briggs, A. M. (2018). Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: A systematic analysis for the global burden of disease study 2017. The Lancet, 392(10159), 1789–1858.CrossRefGoogle Scholar
Joyce, D. W., Kehagia, A. A., Tracy, D. K., Proctor, J., & Shergill, S. S. (2017). Realising stratified psychiatry using multidimensional signatures and trajectories. Journal of Translational Medicine, 15(1), 1–30.CrossRefGoogle ScholarPubMed
Kas, M. J., Penninx, B., Sommer, B., Serretti, A., Arango, C., & Marston, H. (2019). A quantitative approach to neuropsychiatry: The why and the how. Neuroscience & Biobehavioral Reviews, 97, 3–9.CrossRefGoogle Scholar
Kay, S. R., Fiszbein, A., & Opler, L. A. (1987). The positive and negative syndrome scale (PANSS) for schizophrenia. Schizophrenia Bulletin, 13, 261–276.CrossRefGoogle Scholar
Kenwood, M. M., & Kalin, N. H. (2021). Nonhuman primate models to explore mechanisms underlying early-life temperamental anxiety. Biological Psychiatry, 89(7), 659–671.CrossRefGoogle ScholarPubMed
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005). Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General psychiatry, 62, 617–627.CrossRefGoogle ScholarPubMed
Keyes, K. M., Eaton, N. R., Krueger, R. F., McLaughlin, K. A., Wall, M. M., Grant, B. F., & Hasin, D. S. (2012). Childhood maltreatment and the structure of common psychiatric disorders. The British Journal of Psychiatry, 200(2), 107–115.CrossRefGoogle ScholarPubMed
Kim, H., Turiano, N. A., Forbes, M. K., Kotov, R., Krueger, R. F., Eaton, N. R., & HiTOP Utility Workgroup. (2021). Internalizing psychopathology and all-cause mortality: A comparison of transdiagnostic vs. diagnosis-based risk prediction. World Psychiatry, 20(2), 276–282.CrossRefGoogle ScholarPubMed
Kotov, R., Jonas, K. G., Carpenter, W. T., Dretsch, M. N., Eaton, N. R., Forbes, M. K., … HiTOP Utility Workgroup. (2020). Validity and utility of hierarchical taxonomy of psychopathology (HiTOP): I. Psychosis superspectrum. World Psychiatry, 19(2), 151–172.CrossRefGoogle ScholarPubMed
Kotov, R., Krueger, R. F., Watson, D., Achenbach, T. M., Althoff, R. R., Bagby, R. M., … Zimmerman, M. (2017). The Hierarchical Taxonomy of Psychopathology (HiTOP): A dimensional alternative to traditional nosologies. Journal of Abnormal Psychology, 126, 454–477.CrossRefGoogle ScholarPubMed
Kotov, R., Krueger, R. F., Watson, D., Cicero, D. C., Conway, C. C., DeYoung, C. G., … Wright, A. G. (2021). The Hierarchical Taxonomy of Psychopathology (HiTOP): A quantitative nosology based on consensus of evidence. Annual Review of Clinical Psychology, 17, 83–108.CrossRefGoogle ScholarPubMed
Krueger, R. F., Chentsova-Dutton, Y. E., Markon, K. E., Goldberg, D., & Ormel, J. (2003). A cross-cultural study of the structure of comorbidity among common psychopathological syndromes in the general health care setting. Journal of Abnormal Psychology, 112(3), 437–447.CrossRefGoogle ScholarPubMed
Krueger, R. F., Hobbs, K. A., Conway, C. C., Dick, D. M., Dretsch, M. N., Eaton, N. R., … HiTOP Utility Workgroup (2021). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): II. Externalizing superspectrum. World Psychiatry, 20(2), 171–193.CrossRefGoogle ScholarPubMed
Krueger, R. F., Kotov, R., Watson, D., Forbes, M. K., Eaton, N. R., Ruggero, C. J., … Zimmermann, J. (2018). Progress in achieving quantitative classification of psychopathology. World Psychiatry, 17, 282–293.CrossRefGoogle ScholarPubMed
Krystal, A. D., Pizzagalli, D. A., Smoski, M., Mathew, S. J., Nurnberger, J., Lisanby, S. H., … Potter, W. Z. (2020). A randomized proof-of-mechanism trial applying the ‘fast-fail’ approach to evaluating κ-opioid antagonism as a treatment for anhedonia. Nature Medicine, 26(5), 760–768.CrossRefGoogle ScholarPubMed
Lahey, B. B. (2009). Public health significance of neuroticism. American Psychologist, 64(4), 241–256.CrossRefGoogle ScholarPubMed
Larsen, S. E., & Pacella, M. L. (2016). Comparing the effect of DSM-congruent traumas vs. DSM-incongruent stressors on PTSD symptoms: A meta-analytic review. Journal of Anxiety Disorders, 38, 37–46.CrossRefGoogle ScholarPubMed
Latzman, R. D., DeYoung, C. G., & The HiTOP Neurobiological Foundations Workgroup. (2020). Using empirically-derived dimensional phenotypes to accelerate clinical neuroscience: The Hierarchical Taxonomy of Psychopathology (HiTOP) framework. Neuropsychopharmacology, 45(7), 1083–1085.CrossRefGoogle ScholarPubMed
Lee, P. H., Anttila, V., Won, H., Feng, Y. C. A., Rosenthal, J., Zhu, Z., … Smoller, J. W. (2019). Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell, 179(7), 1469–1482.CrossRefGoogle Scholar
Levey, D. F., Stein, M. B., Wendt, F. R., Pathak, G. A., Zhou, H., Aslan, M., … Gelernter, J. (2021). Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in> 1.2 million individuals highlight new therapeutic directions. Nature Neuroscience, 24(7), 954–963.CrossRefGoogle Scholar
Linner, R. K., Mallard, T. T., Barr, P. B., Sanchez-Roige, S., Madole, J. W., Driver, M. N., … Dick, D. M. (2021). Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction. Nature Neuroscience, 24(10), 1367–1376.CrossRefGoogle Scholar
Linscott, R. J., & Van Os, J. (2013). An updated and conservative systematic review and meta-analysis of epidemiological evidence on psychotic experiences in children and adults: On the pathway from proneness to persistence to dimensional expression across mental disorders. Psychological Medicine, 43, 1133–1149.CrossRefGoogle ScholarPubMed
Loevinger, J. (1957). Objective tests as instruments of psychological theory. Psychological Reports, 3(3), 635–694.Google Scholar
Lorr, M., Klett, C. J., & McNair, D. M. (1963). Syndromes of psychosis. New York, NY: Pergamon Press.Google Scholar
Lundahl, B. W., Kunz, C., Brownell, C., Tollefson, D., & Burke, B. L. (2010). A meta-analysis of motivational interviewing: Twenty-five years of empirical studies. Research on Social Work Practice, 20(2), 137–160.CrossRefGoogle Scholar
Lynch, S. J., Sunderland, M., Newton, N. C., & Chapman, C. (2021). A systematic review of transdiagnostic risk and protective factors for general and specific psychopathology in young people. Clinical Psychology Review, 102036.CrossRefGoogle ScholarPubMed
Markon, K. E., Chmielewski, M., & Miller, C. J. (2011). The reliability and validity of discrete and continuous measures of psychopathology: A quantitative review. Psychological Bulletin, 137, 856–879.CrossRefGoogle ScholarPubMed
Martin, A. R., Daly, M. J., Robinson, E. B., Hyman, S. E., & Neale, B. M. (2019). Predicting polygenic risk of psychiatric disorders. Biological Psychiatry, 86(2), 97–109.CrossRefGoogle ScholarPubMed
Martin, E. A., Jonas, K. G., Lian, W., Foti, D., Donaldson, K. R., Bromet, E. J., … Kotov, R. (2021). Predicting long-term outcomes in first-admission psychosis: Does the hierarchical taxonomy of psychopathology aid DSM in prognostication? Schizophrenia Bulletin, 47(5), 1331–1341.CrossRefGoogle ScholarPubMed
Martin, J., Taylor, M. J., & Lichtenstein, P. (2018). Assessing the evidence for shared genetic risks across psychiatric disorders and traits. Psychological Medicine, 48, 1759–1774.CrossRefGoogle ScholarPubMed
Marusak, H. A., Thomason, M. E., Peters, C., Zundel, C., Elrahal, F., & Rabinak, C. (2016). You say ‘prefrontal cortex'and I say ‘anterior cingulate’: Meta-analysis of spatial overlap in amygdala-to-prefrontal connectivity and internalizing symptomology. Translational Psychiatry, 6(11), e944–e944.CrossRefGoogle ScholarPubMed
McDaid, D., Park, A. L., & Wahlbeck, K. (2019). The economic case for the prevention of mental illness. Annual Review of Public Health, 40, 373–389.CrossRefGoogle ScholarPubMed
McElroy, E., Belsky, J., Carragher, N., Fearon, P., & Patalay, P. (2018). Developmental stability of general and specific factors of psychopathology from early childhood to adolescence: Dynamic mutualism or p-differentiation? Journal of Child Psychology and Psychiatry, 59(6), 667–675.CrossRefGoogle ScholarPubMed
McGrew, K. S. (2009). CHC Theory and the human cognitive abilities project: Standing on the shoulders of the giants of psychometric intelligence research. Intelligence, 37, 1–10.CrossRefGoogle Scholar
Michelini, G., Palumbo, I. M., DeYoung, C. G., Latzman, R. D., & Kotov, R. (2021). Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience. Clinical Psychology Review, 102025.CrossRefGoogle ScholarPubMed
Milinkovic, M. S., & Tiliopoulos, N. (2020). A systematic review of the clinical utility of the DSM–5 section III alternative model of personality disorder. Personality Disorders: Theory, Research, and Treatment, 11(6), 377–397.CrossRefGoogle ScholarPubMed
Moberg, C. A., & Humphreys, K. (2017). Exclusion criteria in treatment research on alcohol, tobacco and illicit drug use disorders: A review and critical analysis. Drug and Alcohol Review, 36(3), 378–388.CrossRefGoogle ScholarPubMed
Moore, T. V. (1930). The empirical determination of certain syndromes underlying praecox and manic-depressive psychoses. American Journal of Psychiatry, 86, 719–738.CrossRefGoogle Scholar
Morey, L. C., Hopwood, C. J., Markowitz, J. C., Gunderson, J. G., Grilo, C. M., McGlashan, T. H., … Skodol, A. E. (2012). Comparison of alternative models for personality disorders, II: 6–, 8-and 10-year follow-up. Psychological Medicine, 42, 1705–1713.CrossRefGoogle ScholarPubMed
Morey, L. C., Skodol, A. E., & Oldham, J. M. (2014). Clinician judgments of clinical utility: A comparison of DSM-IV-TR personality disorders and the alternative model for DSM-5 personality disorders. Journal of Abnormal Psychology, 123, 398–405.CrossRefGoogle ScholarPubMed
Moscicki, E. K., Clarke, D. E., Kuramoto, S. J., Kraemer, H. C., Narrow, W. E., Kupfer, D. J., & Regier, D. A. (2013). Testing DSM-5 in routine clinical practice settings: Feasibility and clinical utility. Psychiatric Services, 64(10), 952–960.CrossRefGoogle ScholarPubMed
Mullins-Sweatt, S. N., Hopwood, C. J., Chmielewski, M., Meyer, N. A., Min, J., Helle, A. C., & Walgren, M. D. (2020). Treatment of personality pathology through the lens of the hierarchical taxonomy of psychopathology: Developing a research agenda. Personality and Mental Health, 14(1), 123–141.CrossRefGoogle ScholarPubMed
Murray, A. L., Eisner, M., & Ribeaud, D. (2016). The development of the general factor of psychopathology ‘p factor'through childhood and adolescence. Journal of Abnormal Child Psychology, 44(8), 1573–1586.CrossRefGoogle Scholar
Narrow, W. E., Clarke, D. E., Kuramoto, S. J., Kraemer, H. C., Kupfer, D. J., Greiner, L., & Regier, D. A. (2013). DSM-5 field trials in the United States and Canada, Part III: Development and reliability testing of a cross-cutting symptom assessment for DSM-5. American Journal of Psychiatry, 170, 71–82.CrossRefGoogle ScholarPubMed
National Institute for Health and Care Excellence. (2021). NICE guidance. Retrieved from https://www.nice.org.uk/guidance/.Google Scholar
Olino, T. M., Bufferd, S. J., Dougherty, L. R., Dyson, M. W., Carlson, G. A., & Klein, D. N. (2018). The development of latent dimensions of psychopathology across early childhood: Stability of dimensions and moderators of change. Journal of Abnormal Child Psychology, 46(7), 1373–1383.CrossRefGoogle ScholarPubMed
Pizzagalli, D. A., Smoski, M., Ang, Y. S., Whitton, A. E., Sanacora, G., Mathew, S. J., … Krystal, A. D. (2020). Selective kappa-opioid antagonism ameliorates anhedonic behavior: Evidence from the fast-fail trial in mood and anxiety Spectrum disorders (FAST-MAS). Neuropsychopharmacology, 45(10), 1656–1663.CrossRefGoogle Scholar
Plomin, R., Haworth, C. M., & Davis, O. S. (2009). Common disorders are quantitative traits. Nature Reviews Genetics, 10(12), 872–878.CrossRefGoogle ScholarPubMed
Regier, D. A., Narrow, W. E., Clarke, D. E., Kraemer, H. C., Kuramoto, S. J., Kuhl, E. A., & Kupfer, D. J. (2013). DSM-5 field trials in the United States and Canada, Part II: Test-retest reliability of selected categorical diagnoses. American Journal of Psychiatry, 170, 59–70.CrossRefGoogle ScholarPubMed
Regier, D. A., Narrow, W. E., Rae, D. S., Manderscheid, R. W., Locke, B. Z., & Goodwin, F. K. (1993). The de facto US mental and addictive disorders service system: Epidemiologic catchment area prospective 1-year prevalence rates of disorders and services. Archives of General Psychiatry, 50(2), 85–94.CrossRefGoogle Scholar
Robb, A. S. (2010). Managing irritability and aggression in autism spectrum disorders in children and adolescents. Developmental Disabilities Research Reviews, 16(3), 258–264.CrossRefGoogle ScholarPubMed
Robins, E., & Guze, S. B. (1970). Establishment of diagnostic validity in psychiatric illness: Its application to schizophrenia. American Journal of Psychiatry, 126(7), 983–987.CrossRefGoogle Scholar
Rodriguez-Seijas, C., Stohl, M., Hasin, D. S., & Eaton, N. R. (2015). Transdiagnostic factors and mediation of the relationship between perceived racial discrimination and mental disorders. JAMA Psychiatry, 72, 706–713.CrossRefGoogle ScholarPubMed
Romer, A. L., Elliott, M. L., Knodt, A. R., Sison, M. L., Ireland, D., Houts, R., … Hariri, A. R. (2021). Pervasively thinner neocortex as a transdiagnostic feature of general psychopathology. American Journal of Psychiatry, 178(2), 174–182.CrossRefGoogle ScholarPubMed
Ruggero, C. J., Kotov, R., Hopwood, C. J., First, M., Clark, L. A., Skodol, A. E., … Zimmermann, J. (2019). Integrating the hierarchical taxonomy of psychopathology (HiTOP) into clinical practice. Journal of Consulting and Clinical Psychology, 87, 1069–1084.CrossRefGoogle ScholarPubMed
Ruscio, A. M. (2019). Normal versus pathological mood: Implications for diagnosis. Annual Review of Clinical Psychology, 15, 179–205.CrossRefGoogle ScholarPubMed
Shah, J. L., Scott, J., McGorry, P. D., Cross, S. P., Keshavan, M. S., Nelson, B., … International Working Group on Transdiagnostic Clinical Staging in Youth Mental Health. (2020). Transdiagnostic clinical staging in youth mental health: A first international consensus statement. World Psychiatry, 19(2), 233–242.CrossRefGoogle ScholarPubMed
Simms, L. J., Wright, A. G., Cicero, D., Kotov, R., Mullins-Sweatt, S. N., Sellbom, M., … Zimmermann, J. (2022). Development of measures for the Hierarchical Taxonomy of Psychopathology (HiTOP): A collaborative scale development project. Assessment, 29(1), 3–16.CrossRefGoogle ScholarPubMed
Spence, S. H., & Rapee, R. M. (2016). The etiology of social anxiety disorder: An evidence-based model. Behaviour Research and Therapy, 86, 50–67.CrossRefGoogle Scholar
Starzer, M. S. K., Nordentoft, M., & Hjorthøj, C. (2018). Rates and predictors of conversion to schizophrenia or bipolar disorder following substance-induced psychosis. American Journal of Psychiatry, 175(4), 343–350.CrossRefGoogle ScholarPubMed
Sterba, S. K., Copeland, W., Egger, H. L., Costello, E. J., Erkanli, A., & Angold, A. (2010). Longitudinal dimensionality of adolescent psychopathology: Testing the differentiation hypothesis. Journal of Child Psychology and Psychiatry, 51(8), 871–884.CrossRefGoogle ScholarPubMed
Sunderland, M., Slade, T., Carragher, N., Batterham, P., & Buchan, H. (2013). Age-related differences in internalizing psychopathology amongst the Australian general population. Journal of Abnormal Psychology, 122(4), 1010–1020.CrossRefGoogle ScholarPubMed
Suzuki, T., South, S. C., Samuel, D. B., Wright, A. G., Yalch, M. M., Hopwood, C. J., & Thomas, K. M. (2019). Measurement invariance of the DSM–5 Section III pathological personality trait model across sex. Personality Disorders: Theory, Research, and Treatment, 10(2), 114–122.CrossRefGoogle Scholar
Taylor, D. (2016). Prescribing according to diagnosis: How psychiatry is different. World Psychiatry, 15, 224–225.CrossRefGoogle ScholarPubMed
Vachon, D. D., Krueger, R. F., Rogosch, F. A., & Cicchetti, D. (2015). Assessment of the harmful psychiatric and behavioral effects of different forms of child maltreatment. JAMA Psychiatry, 72(11), 1135–1142.CrossRefGoogle ScholarPubMed
Venables, N. C., Foell, J., Yancey, J. R., Kane, M. J., Engle, R. W., & Patrick, C. J. (2018). Quantifying inhibitory control as externalizing proneness: A cross-domain model. Clinical Psychological Science, 6(4), 561–580.CrossRefGoogle Scholar
Verheul, R., & Widiger, T. A. (2004). A meta-analysis of the prevalence and usage of the personality disorder not otherwise specified (PDNOS) diagnosis. Journal of Personality Disorders, 18(4), 309–319.CrossRefGoogle Scholar
Volkow, N. D. (2020). Personalizing the treatment of substance use disorders. American Journal of Psychiatry, 177(2), 113–116.CrossRefGoogle ScholarPubMed
Wang, P. S., Aguilar-Gaxiola, S., Alonso, J., Angermeyer, M. C., Borges, G., Bromet, E. J., … Wells, J. E. (2007). Use of mental health services for anxiety, mood, and substance disorders in 17 countries in the WHO world mental health surveys. The Lancet, 370(9590), 841–850.CrossRefGoogle ScholarPubMed
Waszczuk, M. A., Eaton, N. R., Krueger, R. F., Shackman, A. J., Waldman, I. D., Zald, D. H., … Kotov, R. (2020). Redefining phenotypes to advance psychiatric genetics: Implications from hierarchical taxonomy of psychopathology. Journal of Abnormal Psychology, 129(2), 143–161. doi: 10.31234/osf.io/sf46g.CrossRefGoogle ScholarPubMed
Waszczuk, M. A., Hopwood, C. J., Luft, B. J., Morey, L. C., Perlman, G., Ruggero, C. J., … Kotov, R. (2021a). The prognostic utility of personality traits versus past psychiatric diagnoses: Predicting future mental health and functioning. Clinical Psychological Science. Advance online publication. doi: 10.1177/21677026211056596.Google Scholar
Waszczuk, M. A., Miao, J., Docherty, A., Shabalin, A., Michelini, G., Jonas, K., … Kotov, R. (2021b). General vs. specific vulnerabilities: polygenic risk scores and higher-order psychopathology dimensions in the adolescent brain cognitive development (ABCD) study. Psychological Medicine, 1-10.CrossRefGoogle Scholar
Waszczuk, M. A., Zimmerman, M., Ruggero, C., Li, K., MacNamara, A., Weinberg, A., … Kotov, R. (2017b). What do clinicians treat: Diagnoses or symptoms? The incremental validity of a symptom-based, dimensional characterization of emotional disorders in predicting medication prescription patterns. Comprehensive Psychiatry, 79, 80–88.CrossRefGoogle Scholar
Watson, D. (2000). Mood and temperament. New York, NY: Guilford Press.Google Scholar
Watson, D., Levin-Aspenson, H. F., Waszczuk, M. A., Conway, C. C., Dalgleish, T., Dretsch, M. N., … HiTOP Utility Workgroup. (2022). Validity and utility of Hierarchical Taxonomy of Psychopathology (HiTOP): III. Emotional dysfunction superspectrum. World Psychiatry, 21(1), 26–54.CrossRefGoogle ScholarPubMed
Whelton, P. K., Carey, R. M., Aronow, W. S., Casey, D. E., Collins, K. J., Dennison Himmelfarb, C., … Wright, J. T. (2018). 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Journal of the American College of Cardiology, 71, e127–e248.CrossRefGoogle Scholar
Widiger, T. A. (2019). Considering the research. Personality Disorders: Theory, Research, and Treatment, 10, 215–219.CrossRefGoogle ScholarPubMed
Wisniewski, S. R., Rush, A. J., Nierenberg, A. A., Gaynes, B. N., Warden, D., Luther, J. F., … Trivedi, M. H. (2009). Can phase III trial results of antidepressant medications be generalized to clinical practice? A STAR* D report. American Journal of Psychiatry, 166(5), 599–607.CrossRefGoogle ScholarPubMed
Wright, A. G., & Woods, W. C. (2020). Personalized models of psychopathology. Annual Review of Clinical Psychology, 16, 49–74.CrossRefGoogle ScholarPubMed
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