Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience.
Linking RDoC and HiTOP: A new interface for advancing psychiatric nosology and neuroscience.
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DOI：
10.31234/osf.io/ps7tc
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发表时间：
2020-06
影响因子：
12.8
通讯作者：
G. Michelini;Isabella M. Palumbo;C. DeYoung;R. Latzman;R. Kotov
中科院分区：
文献类型：
--
作者：
G. Michelini;Isabella M. Palumbo;C. DeYoung;R. Latzman;R. Kotov
研究领域标准（RDoC）和精神病理学的层次分类（HiTOP）代表了主要的维度框架，提出了两种替代方法来加速精神病理学研究，分类和治疗的进展。RDoC是一个植根于神经科学的研究框架，旨在进一步理解精神病理学基础上的跨诊断生物行为系统，并最终为未来的分类提供信息。HiTOP是一个维度分类系统，来源于观察到的精神病理学症状和适应不良特征之间的协变，旨在提供更多信息的研究和治疗目标（即，维度结构和临床评估）。本文认为，RDoC和HiTOP的互补优势可以被利用，以实现各自的目标。RDoC的生物行为框架可能有助于阐明HiTOP中包含的临床维度的基础，而HiTOP可能为RDoC知情的研究提供心理测量学上强大的临床目标。我们提出了一个全面的映射包括在RDoC（结构和子结构）和HiTOP（光谱和子因素）的基础上的实证文献的叙述性审查的维度。由此产生的RDoC-HiTOP界面揭示了临床维度的生物行为相关性，并为病因学和神经科学研究提供了广泛的维度临床目标。我们的结论与未来的方向和实际的建议，使用这个接口，以推进临床神经科学和精神疾病分类学。最终，我们设想，这个RDoC-HiTOP接口有可能为统一的，多维的，生物行为学为基础的精神病疾病分类学的发展提供信息。
The Research Domain Criteria (RDoC) and the Hierarchical Taxonomy of Psychopathology (HiTOP) represent major dimensional frameworks proposing two alternative approaches to accelerate progress in the way psychopathology is studied, classified, and treated. RDoC is a research framework rooted in neuroscience aiming to further the understanding of transdiagnostic biobehavioral systems underlying psychopathology and ultimately inform future classifications. HiTOP is a dimensional classification system, derived from the observed covariation among symptoms of psychopathology and maladaptive traits, which seeks to provide more informative research and treatment targets (i.e., dimensional constructs and clinical assessments) than traditional diagnostic categories. This article argues that the complementary strengths of RDoC and HiTOP can be leveraged in order to achieve their respective goals. RDoC's biobehavioral framework may help elucidate the underpinnings of the clinical dimensions included in HiTOP, whereas HiTOP may provide psychometrically robust clinical targets for RDoC-informed research. We present a comprehensive mapping between dimensions included in RDoC (constructs and subconstructs) and HiTOP (spectra and subfactors) based on narrative review of the empirical literature. The resulting RDoC-HiTOP interface sheds light on the biobehavioral correlates of clinical dimensions and provides a broad set of dimensional clinical targets for etiological and neuroscientific research. We conclude with future directions and practical recommendations for using this interface to advance clinical neuroscience and psychiatric nosology. Ultimately, we envision that this RDoC-HiTOP interface has the potential to inform the development of a unified, dimensional, and biobehaviorally-grounded psychiatric nosology.