德国马克斯普朗克神经生物学研究所Nadine Gogolla研究团队，揭示了小鼠情绪状态的面部表情及其与神经元的关系。该项研究成果发表在2020年4月3日出版的《科学》杂志上。

Title: Facial expressions of emotion states and their neuronal correlates in mice

Author: Nejc Dolensek, Daniel A. Gehrlach, Alexandra S. Klein, Nadine Gogolla

Issue&Volume: 2020/04/03

Abstract: Abstract

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.

DOI: 10.1126/science.aaz9468

Source: https://science.sciencemag.org/content/368/6486/89