Suppr超能文献

复发性或双相抑郁症的动物模型。

Animal models of recurrent or bipolar depression.

作者信息

Kato T, Kasahara T, Kubota-Sakashita M, Kato T M, Nakajima K

机构信息

Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Japan.

Laboratory for Molecular Dynamics of Mental Disorders, RIKEN Brain Science Institute, Japan.

出版信息

Neuroscience. 2016 May 3;321:189-196. doi: 10.1016/j.neuroscience.2015.08.016. Epub 2015 Aug 8.

Abstract

Animal models of mental disorders should ideally have construct, face, and predictive validity, but current animal models do not always satisfy these validity criteria. Additionally, animal models of depression rely mainly on stress-induced behavioral changes. These stress-induced models have limited validity, because stress is not a risk factor specific to depression, and the models do not recapitulate the recurrent and spontaneous nature of depressive episodes. Although animal models exhibiting recurrent depressive episodes or bipolar depression have not yet been established, several researchers are trying to generate such animals by modeling clinical risk factors as well as by manipulating a specific neural circuit using emerging techniques.

摘要

精神障碍的动物模型理想情况下应具备结构效度、表面效度和预测效度,但目前的动物模型并不总是能满足这些效度标准。此外,抑郁症的动物模型主要依赖于应激诱导的行为变化。这些应激诱导模型的效度有限,因为应激并非抑郁症特有的风险因素,而且这些模型无法重现抑郁发作的复发性和自发性。尽管尚未建立起表现出复发性抑郁发作或双相抑郁症的动物模型,但一些研究人员正试图通过模拟临床风险因素以及利用新兴技术操纵特定神经回路来培育出这样的动物。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验