Emily R Perkins, Keanan J Joyner, Christopher J Patrick, Bruce D Bartholow, Robert D Latzman, Colin G DeYoung, Roman Kotov, Ulrich Reininghaus, Samuel E Cooper, Mohammad H Afzali, Anna R Docherty, Michael N Dretsch, Nicholas R Eaton, Vina M Goghari, John D Haltigan, Robert F Krueger, Elizabeth A Martin, Giorgia Michelini, Anthony C Ruocco, Jennifer L Tackett, Noah C Venables, Irwin D Waldman, David H Zald
{"title":"神经生物学和精神病理学的层次分类法:向个体遗传学和临床有用的病分学进展\u2029。","authors":"Emily R Perkins, Keanan J Joyner, Christopher J Patrick, Bruce D Bartholow, Robert D Latzman, Colin G DeYoung, Roman Kotov, Ulrich Reininghaus, Samuel E Cooper, Mohammad H Afzali, Anna R Docherty, Michael N Dretsch, Nicholas R Eaton, Vina M Goghari, John D Haltigan, Robert F Krueger, Elizabeth A Martin, Giorgia Michelini, Anthony C Ruocco, Jennifer L Tackett, Noah C Venables, Irwin D Waldman, David H Zald","doi":"10.31887/DCNS.2020.22.1/eperkins","DOIUrl":null,"url":null,"abstract":"<p><p>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. 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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.\u2029.</p>","PeriodicalId":54343,"journal":{"name":"Dialogues in Clinical Neuroscience","volume":"22 1","pages":"51-63"},"PeriodicalIF":8.3000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/75/89/DialoguesClinNeurosci-22-51.PMC7365294.pdf","citationCount":"21","resultStr":"{\"title\":\"Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology\\u2029.\",\"authors\":\"Emily R Perkins, Keanan J Joyner, Christopher J Patrick, Bruce D Bartholow, Robert D Latzman, Colin G DeYoung, Roman Kotov, Ulrich Reininghaus, Samuel E Cooper, Mohammad H Afzali, Anna R Docherty, Michael N Dretsch, Nicholas R Eaton, Vina M Goghari, John D Haltigan, Robert F Krueger, Elizabeth A Martin, Giorgia Michelini, Anthony C Ruocco, Jennifer L Tackett, Noah C Venables, Irwin D Waldman, David H Zald\",\"doi\":\"10.31887/DCNS.2020.22.1/eperkins\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Hierarchical Taxonomy of Psychopathology (HiTOP) is an empirical structural model of psychological symptoms formulated to improve the reliability and validity of clinical assessment. 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Neurobiology and the Hierarchical Taxonomy of Psychopathology: progress toward ontogenetically informed and clinically useful nosology .
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. .
期刊介绍:
Dialogues in Clinical Neuroscience (DCNS) endeavors to bridge the gap between clinical neuropsychiatry and the neurosciences by offering state-of-the-art information and original insights into pertinent clinical, biological, and therapeutic aspects. As an open access journal, DCNS ensures accessibility to its content for all interested parties. Each issue is curated to include expert reviews, original articles, and brief reports, carefully selected to offer a comprehensive understanding of the evolving landscape in clinical neuroscience. Join us in advancing knowledge and fostering dialogue in this dynamic field.