Semel Institute for Neuroscience & Human Behavior, Department of Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA 90024, United States of America.
Department of Psychology, Georgia State University, Atlanta, GA 30303, United States of America.
Clin Psychol Rev. 2021 Jun;86:102025. doi: 10.1016/j.cpr.2021.102025. Epub 2021 Mar 24.
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.
《研究领域标准(RDoC)》和《精神病理学的层次分类学(HiTOP)》代表了主要的维度框架,它们提出了两种替代方法,以加速精神病理学研究、分类和治疗的进展。RDoC 是一个扎根于神经科学的研究框架,旨在进一步了解精神病理学背后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,源自精神病理学症状和适应不良特征之间的观察到的共变,旨在为研究和治疗提供比传统诊断类别更具信息量的目标(即维度结构和临床评估)。本文认为,可以利用 RDoC 和 HiTOP 的互补优势来实现各自的目标。RDoC 的生物行为框架可以帮助阐明 HiTOP 中包含的临床维度的基础,而 HiTOP 可以为 RDoC 提供心理计量学上稳健的临床目标。我们根据实证文献的叙述性综述,在 RDoC(结构和子结构)和 HiTOP(谱和子因素)之间进行了全面的映射。由此产生的 RDoC-HiTOP 接口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。我们总结了未来的方向和使用该接口推进临床神经科学和精神病学分类学的实用建议。最终,我们设想这个 RDoC-HiTOP 接口有可能为一个统一的、维度的和基于生物行为的精神病学分类学的发展提供信息。