MacNamara Annmarie, Phan K Luan
Department of Psychiatry, University of Illinois at Chicago, Chicago, Illinois, USA.
Departments of Psychology and Anatomy and Cell Biology, and the Graduate Program in Neuroscience, University of Illinois at Chicago, Chicago, Illinois, USA.
Psychophysiology. 2016 Mar;53(3):406-9. doi: 10.1111/psyp.12587.
NIMH's Research Domain Criteria (RDoC) project seeks to advance the diagnosis, prevention, and treatment of mental disorders by promoting psychobiological research on dimensional constructs that might cut across traditional diagnostic boundaries (Kozak & Cuthbert, ). At the core of this approach is the notion that these dimensional constructs can be assessed across different units of analysis (e.g., genes, physiology, behavior), enriching the constructs and providing more complete explanations of clinical problems. While the conceptual aspects of RDoC have been discussed in several prior papers, its methodological aspects have received comparatively less attention. For example, how to integrate data from different units of analysis has been relatively unclear. Here, we discuss one means of psychobiologically operationalizing RDoC constructs across different units of analysis (the psychoneurometric approach; Yancey et al., ), highlighting ways in which this approach might be refined in future iterations. We conclude that there is much to be learned from this technique; however, greater attention to scale-development methods and to psychometrics will likely benefit this and other methodological approaches to combining measurements across multiple units of analysis.
美国国立精神卫生研究所的研究领域标准(RDoC)项目旨在通过推动对可能跨越传统诊断界限的维度结构进行心理生物学研究,来促进精神障碍的诊断、预防和治疗(科扎克和卡斯伯特)。这种方法的核心观点是,这些维度结构可以在不同的分析单位(如基因、生理学、行为)上进行评估,丰富这些结构,并为临床问题提供更完整的解释。虽然RDoC的概念方面已在先前的几篇论文中进行了讨论,但其方法学方面受到的关注相对较少。例如,如何整合来自不同分析单位的数据相对不明确。在这里,我们讨论一种在不同分析单位上对RDoC结构进行心理生物学操作化的方法(心理神经测量法;扬西等人),强调在未来迭代中改进这种方法的方式。我们得出结论,从这项技术中有很多值得学习的地方;然而,更多地关注量表开发方法和心理测量学可能会使这种方法以及其他跨多个分析单位组合测量的方法受益。