The hierarchical taxonomy of psychopathology and the search for neurobiological substrates of mental illness: A systematic review and roadmap for future research.

IF 3.1 Q2 PSYCHIATRY
Colin G DeYoung, Scott D Blain, Robert D Latzman, Rachael G Grazioplene, John D Haltigan, Roman Kotov, Giorgia Michelini, Noah C Venables, Anna R Docherty, Vina M Goghari, Alexander M Kallen, Elizabeth A Martin, Isabella M Palumbo, Christopher J Patrick, Emily R Perkins, Alexander J Shackman, Madeline E Snyder, Kaitlyn E Tobin
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Abstract

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, Addictions Neuroclinical Assessment, and the National Institute on Drug Abuse's Phenotyping Assessment Battery, and how researchers can use HiTOP to accelerate clinical neuroscience research in humans and other species. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

精神病理学分层分类法与寻找精神疾病的神经生物学基础:系统回顾与未来研究路线图。
分类命名法的局限性阻碍了人们对精神病理学所涉及的神经生物学机制的理解。精神病理学层次分类法(HiTOP)是另一种描述精神病理学特征的维度系统,它源自对诊断和症状之间共变性的定量研究。与传统的精神病学诊断相比,HiTOP 为临床神经科学提供了更有前景的目标,并能促进现有研究的累积整合。我们系统地回顾了 164 项人类神经影像研究,这些研究的样本量都在 194 个或以上,它们都调查了 HiTOP 中分类的精神病理学维度。我们确定了五个不同层次结构的重复结果,包括总体 p 因子、外化超谱系、思维障碍和内化谱系、困扰子因子和抑郁症状维度。我们的综述强调了维度临床神经科学研究的潜力和 HiTOP 的实用性,同时也指出了这一相对年轻领域现有工作的局限性。我们讨论了如何将 HiTOP 与美国国立卫生研究院开发的以神经科学为导向的跨诊断框架(包括研究领域标准、成瘾神经临床评估和美国国立药物滥用研究所表型评估电池)协同整合,以及研究人员如何利用 HiTOP 加快人类和其他物种的临床神经科学研究。(PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。
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