Suppr超能文献

社会记忆的神经表征空间

The Neural Representational Space of Social Memory.

作者信息

Dziura Sarah L, Thompson James C

机构信息

Department of Psychology, George Mason University, Fairfax, VA, 22030 USA.

出版信息

Open Mind (Camb). 2019 Feb 1;3:1-12. doi: 10.1162/opmi_a_00021. eCollection 2019.

Abstract

Social functioning involves learning about the social networks in which we live and interact; knowing not just our friends, but also who is friends with our friends. This study utilized an incidental learning paradigm and representational similarity analysis (RSA), a functional MRI multivariate pattern analysis technique, to examine the relationship between learning social networks and the brain's response to the faces within the networks. We found that accuracy of learning face pair relationships through observation is correlated with neural similarity patterns to those pairs in the left temporoparietal junction (TPJ), the left fusiform gyrus, and the subcallosal ventromedial prefrontal cortex (vmPFC), all areas previously implicated in social cognition. This model was also significant in portions of the cerebellum and thalamus. These results show that the similarity of neural patterns represent how accurately we understand the closeness of any two faces within a network. Our findings indicate that these areas of the brain not only process knowledge and understanding of others, but also support learning relations between individuals in groups.

摘要

社会功能包括了解我们生活和互动的社交网络;不仅要知道我们的朋友,还要知道谁是我们朋友的朋友。本研究采用了偶发学习范式和表征相似性分析(RSA),这是一种功能磁共振成像多元模式分析技术,以检验学习社交网络与大脑对网络中面孔反应之间的关系。我们发现,通过观察学习面孔配对关系的准确性与左颞顶联合区(TPJ)、左梭状回和胼胝体下内侧前额叶皮质(vmPFC)中这些面孔配对的神经相似性模式相关,所有这些区域先前都与社会认知有关。该模型在小脑和丘脑的部分区域也具有显著性。这些结果表明,神经模式的相似性代表了我们对网络中任意两张面孔亲密程度的理解有多准确。我们的研究结果表明,大脑的这些区域不仅处理对他人的知识和理解,还支持群体中个体之间关系的学习。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验