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Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology
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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.
Afiliación
  • Perkins ER; Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript.
  • Joyner KJ; Department of Psychology, Florida State University, Tallahassee, Florida, US. Authors contributed equally to manuscript.
  • Patrick CJ; Department of Psychology, Florida State University, Tallahassee, Florida, US.
  • Bartholow BD; Department of Psychological Sciences, University of Missouri, Columbia, Missouri, US.
  • Latzman RD; Department of Psychology, Georgia State University, Atlanta, Georgia, US.
  • DeYoung CG; Department of Psychology, University of Minnesota, Minneapolis, Minnesota, US.
  • Kotov R; Department of Psychiatry, Stony Brook University, Stony Brook, New York, US.
  • Reininghaus U; Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Germany.
  • Cooper SE; Department of Psychiatry, University of Texas at Austin, Texas, US.
  • Afzali MH; Department of Psychiatry, University of Montreal, Quebec, Canada.
  • Docherty AR; DDepartment of Psychiatry, University of Utah School of Medicine, Salt Lake City, Utah, US.
  • Dretsch MN; US Army Medical Research Directorate - West, Walter Reed Army Institute for Research, Joint Base Lewis-McCord, Washington, US.
  • Eaton NR; Department of Psychology, Stony Brook University, Stony Brook, New York, US.
  • Goghari VM; Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada.
  • Haltigan JD; DDepartment of Psychiatry, University of Toronto, and Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
  • Krueger RF; DDepartment of Psychology, University of Minnesota, Minneapolis, Minnesota, US.
  • Martin EA; DDepartment of Psychological Science, University of California, Irvine, California, US.
  • Michelini G; Department of Psychiatry, Stony Brook University, Stony Brook, New York, US.
  • Ruocco AC; Department of Psychology and Graduate Department of Psychological Clinical Science, University of Toronto, Ontario, Canada.
  • Tackett JL; Department of Psychology, Northwestern University, Evanston, Illinois, US.
  • Venables NC; DMinneapolis Veterans Affairs Health Care System, Minneapolis, Minnesota, US.
  • Waldman ID; Department of Psychology, Emory University, Atlanta, Georgia, US.
  • Zald DH; Department of Psychology, Vanderbilt University, Nashville, Tennessee, US .
Dialogues Clin Neurosci ; 22(1): 51-63, 2020 03.
Article en En | MEDLINE | ID: mdl-32699505
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.
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RESUMEN
La taxonomía jerárquica de la psicopatología (TJP) es un modelo estructural empírico de síntomas psicológicos propuesto para mejorar la confiabilidad y la validez de la evaluación clínica. La neurobiología puede dar cuenta de las evaluaciones de riesgo precoz y estrategias de intervención, y el modelo de TJP tiene un mayor potencial para interactuar con las mediciones neurobiológicas que los diagnósticos categoriales tradicionales dada su mayor confiabilidad. Sin embargo, una complicación es que los correlatos biológicos observados de los síntomas clínicos pueden reflejar varios factores, que van desde el riesgo de la disposición hasta las consecuencias de la psicopatología. En este artículo, se argumenta que el modelo TJP proporciona un marco optimizado para realizar investigaciones sobre los correlatos biológicos de la psicopatología desde una perspectiva ontogenética que distingue entre indicadores de responsabilidad, síntomas actuales y consecuencias de la enfermedad. A través de este enfoque, la investigación neurobiológica puede contribuir de manera más efectiva con la identificación de individuos con un alto riesgo de disposición, el registro de los beneficios del tratamiento y el monitoreo de las consecuencias de la enfermedad mental, de acuerdo con los objetivos del marco de referencia de la TJP.
La taxonomie hiérarchique de la psychopathologie (HiTOP, Hierarchical Taxonomy of Psychopathology) est un modèle empirique et structuré de symptômes psychologiques visant à améliorer la fiabilité et la validité de l'évaluation clinique. L'évaluation sur le risque précoce et les stratégies thérapeutiques peuvent bénéficier des apports de la neurobiologie ; le modèle HiTOP interagit mieux avec les mesures neurobiologiques que les diagnostics catégoriels classiques, en raison de sa plus grande fiabilité. Néanmoins, le fait que les corrélats biologiques observés des symptômes cliniques peuvent refléter différents facteurs qui vont du risque lié à la prédisposition aux conséquences de la pathologie, complique les choses. Dans cet article, nous soutenons que le cadre du modèle HiTOP est optimal pour la recherche sur les corrélats biologiques de la psychopathologie d'un point de vue ontogénétique qui distingue les indicateurs de responsabilité, les symptômes actuels et les conséquences de la maladie. Par cette approche, la recherche neurobiologique permet de mieux identifier les personnes à risque de prédisposition élevé, de mieux répertorier les bénéfices liés au traitement et de surveiller les conséquences de la maladie mentale, selon les objectifs du cadre de l'HiTOP.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Psicopatología / Neurobiología / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Dialogues Clin Neurosci Asunto de la revista: NEUROLOGIA Año: 2020 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Psicopatología / Neurobiología / Trastornos Mentales Tipo de estudio: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Dialogues Clin Neurosci Asunto de la revista: NEUROLOGIA Año: 2020 Tipo del documento: Article