德国夏里特-柏林医科大学David Owald团队探明了网络同步创造了促进果蝇安静的神经过滤器。相关论文于2025年8月20日发表在《自然》杂志上。

在这里，课题组研究人员描述了果蝇的一种神经机制，这种机制创造了神经过滤器，通过在促进睡眠需要和运动的神经网络之间产生连贯的慢波活动（SWA）来产生一种大脑状态，从而实现静止行为。SWA的一致性受昼夜节律和内稳态控制，并可通过感觉经验调节。对相干SWA的模拟表明，R5振荡通过有节奏地关联运动促进细胞的神经活动来降低对视觉刺激的反应，有效地控制了它们的输出。这些网络可以通过向下游头向细胞提供拮抗输入来调节行为反应。

因此，相干振荡通过暂时关联相反的信号，为神经滤波器提供了机制基础，从而减少了运动门控和导航网络之间的功能连接。该课题组认为，SWA的时间模式提供了一种结构，可以创建一个“可打破”的过滤器，允许动物进入静止状态，同时为强烈或显著的刺激提供了一种结构，可以“打破”神经相互作用，从而允许动物做出反应。

研究人员表示，动物需要不受干扰的休息时间，在此期间它们进行恢复过程。然而，目前尚不清楚大脑状态是如何产生的，这些状态能够将动物与外部世界分离开来，使其保持静止行为，同时对显著的感官线索保持警惕。

附：英文原文

Title: Network synchrony creates neural filters promoting quiescence in Drosophila

Author: Raccuglia, Davide, Surez-Grimalt, Raquel, Krumm, Laura, Ender, Anatoli, Brodersen, Cdric B., Jagannathan, Sridhar R., Freire Krck, Martin, Pampaloni, Niccol P., Rauch, Carolin, Winter, York, Yvon-Durocher, Genevieve, Kempter, Richard, Geiger, Jrg R. P., Owald, David

Issue&Volume: 2025-08-20

Abstract: Animals require undisturbed periods of rest during which they undergo recuperative processes1. However, it is unclear how brain states arise that are able to dissociate an animal from its external world, enabling quiescent behaviours, while retaining vigilance to salient sensory cues2. Here we describe a neural mechanism in Drosophila that creates neural filters that engender a brain state that enables quiescent behaviour by generating coherent slow-wave activity (SWA)3 between sleep-need4 (R5)- and locomotion-promoting neural networks5. The coherence of SWA is subject to circadian and homeostatic control and can be modulated by sensory experience. Mimicry of coherent SWA reveals that R5 oscillations reduce responsiveness to visual stimuli by rhythmically associating neural activity of locomotion-promoting cells, effectively overruling their output. These networks can regulate behavioural responsiveness by providing antagonistic inputs to downstream head-direction cells6,7. Thus, coherent oscillations provide the mechanistic basis for a neural filter by temporally associating opposing signals, resulting in reduced functional connectivity between locomotion-gating and navigational networks. We propose that the temporal pattern of SWA provides the structure to create a ‘breakable’ filter, permitting the animal to enter a quiescent state, while providing the architecture for strong or salient stimuli to ‘break’ the neural interaction, consequently allowing the animal to react.

DOI: 10.1038/s41586-025-09376-2

Source: https://www.nature.com/articles/s41586-025-09376-2