National Institute of Mental Health.
J Abnorm Psychol. 2013 Aug;122(3):928-37. doi: 10.1037/a0034028.
As a commentary for the special section on Reconceptualizing the Classification of Mental Disorders, this article begins with a description of the impetus for the U.S. National Institute of Mental Health's (NIMH) Research Domain Criteria (RDoC) initiative and provides an update of progress on that initiative to date. The commentary then engages the articles in this special section, beginning with a response to Berenbaum's concern that the RDoC approach to sorting constructs across multiple units of analysis espouses a de facto biological fundamentalism. This leads us to delineate the relationship between RDoC and the NIMH priorities relevant to this initiative. The commentary then considers how Patrick's iterative "construct-network" method can be applied to RDoC construct validation, highlighting several aspects that are particularly useful. One aspect of this work involves determining subject inclusion and exclusion criteria that provide an appropriate range of variance. Finally, this commentary considers the Bilder group's article, explicating the ways in which multilevel models can foster development of hypotheses and informatics approaches needed for further RDoC progress.
作为重新构想精神障碍分类特刊的评论，本文首先描述了美国国家心理健康研究所（NIMH）研究领域标准（RDoC）倡议的动力，并提供了迄今为止该倡议的最新进展。该评论接着探讨了本特刊中的文章，首先回应了 Berenbaum 的担忧，即 RDoC 方法在多个分析单位上对构建进行分类，实际上支持了生物原教旨主义。这使我们能够阐明 RDoC 与与该倡议相关的 NIMH 优先事项之间的关系。该评论接着考虑了 Patrick 的迭代“构建网络”方法如何应用于 RDoC 构建验证，突出了几个特别有用的方面。这项工作的一个方面涉及确定主题纳入和排除标准，以提供适当的变异性范围。最后，本评论考虑了 Bilder 小组的文章，阐明了多层次模型如何促进假设的发展以及 RDoC 进一步发展所需的信息学方法。
