小柯机器人

葡萄牙尚帕利莫基金会Carlos Ribeiro、Daniel Münch研究组合作揭示，动物内部状态如何控制食物选择的神经元逻辑。相关论文于2022年7月6日发表在《自然》杂志上。

他们使用黑腹果蝇大脑中的泛神经元体积活动成像来研究内部状态依赖性营养食欲的神经元基础。他们创建了腹侧果蝇大脑的功能图谱，并发现代谢状态影响了神经细胞大部分区域的感觉运动加工。相比之下，生殖状态在局部作用以定义感觉信息如何转化为喂食运动输出。因此，这两种状态协同调节蛋白质特异性食物摄入和食物选择。

最后，使用一种新的计算方法，他们确定了标记神经元支配状态调制大脑区域的驱动线，并表明新发现的“borboleta”区域足以将食物选择导向富含蛋白质的食物。因此，他们明确了一个广泛的原则，通过该原则整合不同的内部状态以塑造决策，并提出一种策略来揭示和功能验证内部状态如何塑造行为。

据了解，在决定吃什么时，动物会评估有关食物质量的感官信息以及多种持续的内部状态。内部状态如何相互作用以改变感觉运动加工和形状决策（例如食物选择）仍然知之甚少。

附：英文原文

Title: The neuronal logic of how internal states control food choice

Author: Mnch, Daniel, Goldschmidt, Dennis, Ribeiro, Carlos

Issue&Volume: 2022-07-06

Abstract: When deciding what to eat, animals evaluate sensory information about food quality alongside multiple ongoing internal states1,2,3,4,5,6,7,8,9,10. How internal states interact to alter sensorimotor processing and shape decisions such as food choice remains poorly understood. Here we use pan-neuronal volumetric activity imaging in the brain of Drosophila melanogaster to investigate the neuronal basis of internal state-dependent nutrient appetites. We created a functional atlas of the ventral fly brain and find that metabolic state shapes sensorimotor processing across large sections of the neuropil. By contrast, reproductive state acts locally to define how sensory information is translated into feeding motor output. These two states thus synergistically modulate protein-specific food intake and food choice. Finally, using a novel computational strategy, we identify driver lines that label neurons innervating state-modulated brain regions and show that the newly identified ‘borboleta’ region is sufficient to direct food choice towards protein-rich food. We thus identify a generalizable principle by which distinct internal states are integrated to shape decision making and propose a strategy to uncover and functionally validate how internal states shape behaviour.

DOI: 10.1038/s41586-022-04909-5

Source: https://www.nature.com/articles/s41586-022-04909-5

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