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精神分裂症谱系的演变概念:基于研究领域标准的视角

Evolving Concepts of the Schizophrenia Spectrum: A Research Domain Criteria Perspective.

作者信息

Cuthbert Bruce N, Morris Sarah E

机构信息

National Institute of Mental Health, Bethesda, MD, United States.

出版信息

Front Psychiatry. 2021 Feb 25;12:641319. doi: 10.3389/fpsyt.2021.641319. eCollection 2021.

Abstract

Several trends intersecting over the past two decades have generated increasing debate as to how the concepts of schizophrenia, the schizophrenia spectrum, and the psychotic disorders spectrum should be regarded. These trends are reflected in various areas of research such as genomics, neuroimaging, and data-driven computational studies of multiple response systems. Growing evidence suggests that schizophrenia represents a broad and heterogenous syndrome, rather than a specific disease entity, that is part of a multi-faceted psychosis spectrum. Progress in explicating these various developments has been hampered by the dependence upon sets of symptoms and signs for determining a diagnosis, and by the reliance on traditional diagnostic categories in reviewing clinical research grants. To address these concerns, the U.S. National Institute of Mental Health initiated the Research Domain Criteria (RDoC) project, a translational research program that calls for studies designed in terms of empirically-based functions (such as cognitive control or reward learning) rather than diagnostic groups. RDoC is a research framework rather than an alternative diagnostic system, intended to provide data that can inform future nosological manuals. This commentary includes a brief summary of RDoC as it pertains to schizophrenia and psychotic spectra, examples of recent data that highlight the utility of the approach, and conclusions regarding the implications for evolving conceptualizations of serious mental illness.

摘要

在过去二十年中,几种趋势相互交织,引发了关于精神分裂症、精神分裂症谱系以及精神障碍谱系概念应如何看待的越来越多的争论。这些趋势反映在基因组学、神经影像学以及多个反应系统的数据驱动计算研究等各个研究领域。越来越多的证据表明,精神分裂症代表的是一种广泛且异质性的综合征,而非特定的疾病实体,它是多方面精神病症谱的一部分。确定诊断对症状和体征集的依赖,以及在评审临床研究资助时对传统诊断类别的依赖,阻碍了对这些不同进展的阐释。为解决这些问题,美国国立精神卫生研究所启动了研究领域标准(RDoC)项目,这是一个转化研究项目,要求根据基于实证的功能(如认知控制或奖励学习)而非诊断组来设计研究。RDoC是一个研究框架而非替代诊断系统,旨在提供可为未来疾病分类手册提供参考的数据。本评论简要总结了与精神分裂症和精神病谱相关的RDoC,突出该方法实用性的近期数据示例,以及关于其对严重精神疾病概念演变影响的结论。

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