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大脑活动与运动的解耦定义了果蝇的觉醒状态。

Uncoupling of brain activity from movement defines arousal States in Drosophila.

作者信息

van Swinderen B, Nitz D A, Greenspan R J

机构信息

The Neurosciences Institute, 10640 John Jay Hopkins Drive, San Diego, CA 92121, USA.

出版信息

Curr Biol. 2004 Jan 20;14(2):81-7.

Abstract

BACKGROUND

An animal's state of arousal is fundamental to all of its behavior. Arousal is generally ascertained by measures of movement complemented by brain activity recordings, which can provide signatures independently of movement activity. Here we examine the relationships among movement, arousal state, and local field potential (LFP) activity in the Drosophila brain.

RESULTS

We have measured the correlation between local field potentials (LFPs) in the brain and overt movements of the fruit fly during different states of arousal, such as spontaneous daytime waking movement, visual arousal, spontaneous night-time movement, and stimulus-induced movement. We found that the correlation strength between brain LFP activity and movement was dependent on behavioral state and, to some extent, on LFP frequency range. Brain activity and movement were uncoupled during the presentation of visual stimuli and also in the course of overnight experiments in the dark. Epochs of low correlation or uncoupling were predictive of increased arousal thresholds even in moving flies and thus define a distinct state of arousal intermediate between sleep and waking in the fruit fly.

CONCLUSIONS

These experiments indicate that the relationship between brain LFPs and movement in the fruit fly is dynamic and that the degree of coupling between these two measures of activity defines distinct states of arousal.

摘要

背景

动物的觉醒状态是其所有行为的基础。觉醒通常通过运动测量并辅以脑活动记录来确定,脑活动记录可以提供独立于运动活动的特征。在这里,我们研究果蝇大脑中运动、觉醒状态和局部场电位(LFP)活动之间的关系。

结果

我们测量了果蝇在不同觉醒状态下,如白天自发的清醒运动、视觉诱发觉醒、夜间自发运动和刺激诱发运动时,大脑局部场电位(LFP)与明显运动之间的相关性。我们发现,大脑LFP活动与运动之间的相关强度取决于行为状态,并且在一定程度上取决于LFP频率范围。在视觉刺激呈现期间以及在黑暗中的夜间实验过程中,脑活动和运动是解耦的。即使在活动的果蝇中,低相关或解耦的时期也预示着觉醒阈值的增加,从而定义了果蝇睡眠和清醒之间一种独特的觉醒状态。

结论

这些实验表明,果蝇大脑中LFP与运动之间的关系是动态的,并且这两种活动测量之间的耦合程度定义了不同的觉醒状态。

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