Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology
. Issue 1 (31st March 2020)

• Record Type: Journal Article
• Authors: Perkins*, Emily R.; Joyner*, Keanan J.; Patrick, Christopher J.; Bartholow, Bruce D.; Latzman, Robert D.; DeYoung, Colin G.; Kotov, Roman; Reininghaus, Ulrich; Cooper, Samuel E.; Afzali, Mohammad H.; Docherty, Anna R.; Dretsch, Michael N.; Eaton, Nicholas R.; Goghari, Vina M.; Haltigan, John D.; Krueger, Robert F.; Martin, Elizabeth A.; Michelini, Giorgia; Ruocco, Anthony C.; Tackett, Jennifer L.; Venables, Noah C.; Waldman, Irwin D.; Zald, David H.
• Is Part Of: Dialogues in Clinical Neuroscience. Volume 22:Issue 1(2020)
• Page Start: 51
• Page End: 63
• Publication Date: 2020-03-31
• Subjects: Hierarchical Taxonomy of Psychopathology -- dimensional -- ontogenetic -- neurobiology -- liability -- psychopathology -- RDoC
• DOI: 10.31887/DCNS.2020.22.1/eperkins
• Languages: English
• ISSNs: 1958-5969

Abstract

Abstract : The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical structural model of psychological symptoms formulated to improve the reliability and validity of clinical assessment. Neurobiology can inform assessments of early risk and intervention strategies, and the HiTOP model has greater potential to interface with neurobiological measures than traditional categorical diagnoses given its enhanced reliability. However, one complication is that observed biological correlates of clinical symptoms can reflect various factors, ranging from dispositional risk to consequences of psychopathology. In this paper, we argue that the HiTOP model provides an optimized framework for conducting research on the biological correlates of psychopathology from an ontogenetic perspective that distinguishes among indicators of liability, current symptoms, and consequences of illness. Through this approach, neurobiological research can contribute more effectively to identifying individuals at high dispositional risk, indexing treatment-related gains, and monitoring the consequences of mental illness, consistent with the aims of the HiTOP framework.