Facial expressions of emotion states and their neuronal correlates in mice
Facial expressions of emotion states and their neuronal correlates in mice
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DOI：
10.1126/science.aaz9468
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发表时间：
2020-04-03
期刊：
影响因子：
56.9
通讯作者：
Gogolla, Nadine
中科院分区：
文献类型：
--
作者：
Dolensek, Nejc;Gehrlach, Daniel A.;Gogolla, Nadine
理解情绪的神经生物学基础依赖于对个体情绪状态的客观读数，这仍然是一个重大挑战，特别是在动物模型中。我们发现，小鼠对情绪显著事件以及与情绪相关的神经元回路中的定向操作做出反应时，会表现出刻板的面部表情。使用机器学习将面部表情分类为不同的类别，并反映在不同的稳态或情感条件下遇到的相同感觉刺激的内在价值的变化。面部表情显示了情绪特征，如强度、效价和持久性。双光子成像揭示了与特定面部表情相关的岛状皮质神经元活动，并可能编码不同的情绪。因此，面部表情提供了一种推断小鼠情绪状态及其神经元相关性的方法。
Understanding the neurobiological underpinnings of emotion relies on objective readouts of the emotional state of an individual, which remains a major challenge especially in animal models. We found that mice exhibit stereotyped facial expressions in response to emotionally salient events, as well as upon targeted manipulations in emotion-relevant neuronal circuits. Facial expressions were classified into distinct categories using machine learning and reflected the changing intrinsic value of the same sensory stimulus encountered under different homeostatic or affective conditions. Facial expressions revealed emotion features such as intensity, valence, and persistence. Two-photon imaging uncovered insular cortical neuron activity that correlated with specific facial expressions and may encode distinct emotions. Facial expressions thus provide a means to infer emotion states and their neuronal correlates in mice.