小柯机器人

美国华盛顿大学医学院M. Catalina Camacho研究组利用大规模编码发现，情感概念从婴儿到青春期间变得越来越相似。相关论文于2023年6月8日发表于国际学术期刊《自然—神经科学》杂志上。

对5-15岁的儿童样本（n=823）进行表征，研究人员表明大脑在整个皮层、小脑和尾状体中明显地代表了不同的情绪概念。每种情绪的激活模式在整个发展过程中几乎没有变化。使用无模型方法，研究发现在年龄较大的儿童中激活模式比年龄较小儿童之间的更相似。

此外，需要推断负面情绪状态的场景在年龄较大的儿童中比年龄较小的儿童引发更高的默认模式网络激活相似性。这些结果表明，情绪概念的表征在童年中后期相对稳定，并且在青春期个体之间同步。

据了解，人类需要对他人的情绪进行共情以实现适应性社会功能。共情是一种心理蓝图，它为大脑提供了预测接下来会发生什么的参数。情绪概念随着发展而不断完善，但不知道它们的神经表征是否会发生平行变化。

附：英文原文

Title: Large-scale encoding of emotion concepts becomes increasingly similar between individuals from childhood to adolescence

Author: Camacho, M. Catalina, Nielsen, Ashley N., Balser, Dori, Furtado, Emily, Steinberger, David C., Fruchtman, Leah, Culver, Joseph P., Sylvester, Chad M., Barch, Deanna M.

Issue&Volume: 2023-06-08

Abstract: Humans require a shared conceptualization of others’ emotions for adaptive social functioning. A concept is a mental blueprint that gives our brains parameters for predicting what will happen next. Emotion concepts undergo refinement with development, but it is not known whether their neural representations change in parallel. Here, in a sample of 5–15-year-old children (n=823), we show that the brain represents different emotion concepts distinctly throughout the cortex, cerebellum and caudate. Patterns of activation to each emotion changed little across development. Using a model-free approach, we show that activation patterns were more similar between older children than between younger children. Moreover, scenes that required inferring negative emotional states elicited higher default mode network activation similarity in older children than younger children. These results suggest that representations of emotion concepts are relatively stable by mid to late childhood and synchronize between individuals during adolescence.

DOI: 10.1038/s41593-023-01358-9

Source: https://www.nature.com/articles/s41593-023-01358-9

Nature Neuroscience：《自然—神经科学》，创刊于1998年。隶属于施普林格·自然出版集团，最新IF：28.771
官方网址：https://www.nature.com/neuro/
投稿链接：https://mts-nn.nature.com/cgi-bin/main.plex