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在人类和动物研究中区分可分离的认知领域:何种分离方式最适合靶向干预?精神分裂症认知改善新方法会议测量与治疗研究分组2的建议总结

Distinguishing separable domains of cognition in human and animal studies: what separations are optimal for targeting interventions? A summary of recommendations from breakout group 2 at the measurement and treatment research to improve cognition in schizophrenia new approaches conference.

作者信息

Nuechterlein Keith H, Robbins Trevor W, Einat Haim

机构信息

Department of Psychiatry, University of California, Los Angeles, CA 90095, USA.

出版信息

Schizophr Bull. 2005 Oct;31(4):870-4. doi: 10.1093/schbul/sbi047. Epub 2005 Sep 8.

DOI:10.1093/schbul/sbi047
PMID:16150960
Abstract

At the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) New Approaches Conference, a discussion group focused on directions for future research that are critical to enhancing our understanding of the distinctions among key cognitive domains that have relevance for the development of cognition-enhancing interventions. One set of recommendations emphasizes the need for examining and optimizing the psychometric properties of relevant measurement paradigms from cognitive psychology and cognitive neuroscience. This step is critical to translating many notable advances in these basic fields into measures that would be appropriate for clinical trials. A second set of recommendations focuses on key directions for the development and application of animal models of cognitive processes that would greatly aid the discovery and preclinical testing of potential cognition-enhancing agents. As part of this process, the group noted several existing animal paradigms that have particular promise as measures in the key cognitive domains in schizophrenia identified by the MATRICS Neurocognition Committee.

摘要

在改善精神分裂症认知的测量与治疗研究(MATRICS)新方法会议上,一个讨论小组聚焦于未来研究的方向,这些方向对于增进我们对与认知增强干预措施发展相关的关键认知领域之间差异的理解至关重要。一组建议强调需要检验和优化来自认知心理学和认知神经科学的相关测量范式的心理测量特性。这一步骤对于将这些基础领域的许多显著进展转化为适用于临床试验的测量方法至关重要。另一组建议聚焦于认知过程动物模型开发与应用的关键方向,这将极大地有助于发现和临床前测试潜在的认知增强剂。作为这一过程的一部分,该小组指出了几种现有的动物范式,它们作为MATRICS神经认知委员会确定的精神分裂症关键认知领域的测量方法具有特别的前景。

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