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高速成像揭示了抑郁症动物模型中神经生理学与行为之间的联系。

High-speed imaging reveals neurophysiological links to behavior in an animal model of depression.

作者信息

Airan Raag D, Meltzer Leslie A, Roy Madhuri, Gong Yuqing, Chen Han, Deisseroth Karl

机构信息

Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

出版信息

Science. 2007 Aug 10;317(5839):819-23. doi: 10.1126/science.1144400. Epub 2007 Jul 5.

Abstract

The hippocampus is one of several brain areas thought to play a central role in affective behaviors, but the underlying local network dynamics are not understood. We used quantitative voltage-sensitive dye imaging to probe hippocampal dynamics with millisecond resolution in brain slices after bidirectional modulation of affective state in rat models of depression. We found that a simple measure of real-time activity-stimulus-evoked percolation of activity through the dentate gyrus relative to the hippocampal output subfield-accounted for induced changes in animal behavior independent of the underlying mechanism of action of the treatments. Our results define a circuit-level neurophysiological endophenotype for affective behavior and suggest an approach to understanding circuit-level substrates underlying psychiatric disease symptoms.

摘要

海马体是被认为在情感行为中起核心作用的几个脑区之一,但潜在的局部网络动态尚不清楚。在抑郁症大鼠模型中对情感状态进行双向调节后,我们使用定量电压敏感染料成像以毫秒级分辨率探测脑片中的海马体动态。我们发现,一个简单的实时活动测量指标——相对于海马体输出子区域,通过齿状回的活动刺激诱发的活动渗透——解释了动物行为的诱导变化,而与治疗的潜在作用机制无关。我们的研究结果定义了一种情感行为的电路水平神经生理内表型,并提出了一种理解精神疾病症状背后的电路水平基质的方法。

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