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c-Fos表达可预测小鼠的长期社会记忆检索。

c-Fos expression predicts long-term social memory retrieval in mice.

作者信息

Lüscher Dias Thomaz, Fernandes Golino Hudson, Oliveira Vinícius Elias Moura de, Dutra Moraes Márcio Flávio, Schenatto Pereira Grace

机构信息

Núcleo de Neurociências, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais. Av. Pres. Antônio Carlos, 6627-Pampulha, Belo Horizonte, MG, Brazil.

Graduate School of Applied Computing, Universidade Estadual de Feira de Santana-Av. Transnordestina, S/N, Feira de Santana, BA, Brazil; Graduate School of Psychology, Universidade Salgado de Oliveira. Rua Marechal Deodoro 263, Niterói, RJ, Brazil.

出版信息

Behav Brain Res. 2016 Oct 15;313:260-271. doi: 10.1016/j.bbr.2016.07.030. Epub 2016 Jul 19.

Abstract

The way the rodent brain generally processes socially relevant information is rather well understood. How social information is stored into long-term social memory, however, is still under debate. Here, brain c-Fos expression was measured after adult mice were exposed to familiar or novel juveniles and expression was compared in several memory and socially relevant brain areas. Machine Learning algorithm Random Forest was then used to predict the social interaction category of adult mice based on c-Fos expression in these areas. Interaction with a familiar co-specific altered brain activation in the olfactory bulb, amygdala, hippocampus, lateral septum and medial prefrontal cortex. Remarkably, Random Forest was able to predict interaction with a familiar juvenile with 100% accuracy. Activity in the olfactory bulb, amygdala, hippocampus and the medial prefrontal cortex were crucial to this prediction. From our results, we suggest long-term social memory depends on initial social olfactory processing in the medial amygdala and its output connections synergistically with non-social contextual integration by the hippocampus and medial prefrontal cortex top-down modulation of primary olfactory structures.

摘要

啮齿动物大脑处理社会相关信息的方式已得到相当充分的理解。然而,社会信息如何存储到长期社会记忆中仍存在争议。在此,在成年小鼠接触熟悉或陌生的幼鼠后测量大脑c-Fos表达,并在几个记忆和社会相关脑区比较表达情况。然后使用机器学习算法随机森林,根据这些区域的c-Fos表达来预测成年小鼠的社会互动类别。与熟悉的同种个体的互动改变了嗅球、杏仁核、海马体、外侧隔区和内侧前额叶皮质的大脑激活。值得注意的是,随机森林能够以100%的准确率预测与熟悉幼鼠的互动。嗅球、杏仁核、海马体和内侧前额叶皮质的活动对这一预测至关重要。根据我们的结果,我们认为长期社会记忆依赖于内侧杏仁核中最初的社会嗅觉处理及其输出连接,与海马体的非社会情境整合协同作用,以及内侧前额叶皮质对初级嗅觉结构的自上而下调节。

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