The Hierarchical Taxonomy of Psychopathology (HiTOP) and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research

Resumen

Understanding the neurobiological mechanisms involved in psychopathology has been hindered by the limitations of categorical nosologies. The Hierarchical Taxonomy of Psychopathology (HiTOP) is an alternative dimensional system for characterizing psychopathology, derived from quantitative studies of covariation among diagnoses and symptoms. HiTOP provides more promising targets for clinical neuroscience than traditional psychiatric diagnoses and can facilitate cumulative integration of existing research. We systematically reviewed 164 human neuroimaging studies with sample sizes of 194 or greater that have investigated dimensions of psychopathology classified within HiTOP. Replicated results were identified for constructs at five different levels of the hierarchy, including the overarching p-factor, the externalizing superspectrum, the thought disorder and internalizing spectra, the distress subfactor, and the depression symptom dimension. Our review highlights the potential of dimensional clinical neuroscience research and the usefulness of HiTOP, while also suggesting limitations of existing work in this relatively young field. We discuss how HiTOP can be integrated synergistically with neuroscience-oriented, transdiagnostic frameworks developed by the National Institutes of Health, including the Research Domain Criteria (RDoC), Addictions Neuroclinical Assessment (ANA), and NIDA Phenotyping Assessment Battery (NIDA PhAB), and how researchers can use HiTOP to accelerate clinical neuroscience research in humans and other species.

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Cómo citar (APA 7)

DeYoung, C. G., Blain, S. D., Latzman, R. D., Grazioplene, R., Haltigan, J. D., Kotov, R., Michelini, G., Venables, N. C., Docherty, A., & Goghari, V. (2023). The Hierarchical Taxonomy of Psychopathology (HiTOP) and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research. https://doi.org/10.31234/osf.io/yatw7