• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

人类大脑中对社交亲近程度的处理。

Processing of social closeness in the human brain.

机构信息

Computational Neuropsychiatry Lab, Department of Medical Neurosciences, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.

Department of Experimental Psychology, University of Oxford, Oxford, UK.

出版信息

Commun Biol. 2024 Oct 10;7(1):1293. doi: 10.1038/s42003-024-06934-8.

DOI:10.1038/s42003-024-06934-8
PMID:39390210
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11467261/
Abstract

Healthy social life requires relationships in different levels of personal closeness. Based on ethological, sociological, and psychological evidence, social networks have been divided into five layers, gradually increasing in size and decreasing in personal closeness. Is this division also reflected in brain processing of social networks? During functional MRI, 21 participants compared their personal closeness to different individuals. We examined the brain volume showing differential activation for varying layers of closeness and found that a disproportionately large portion of this volume (80%) exhibited preference for individuals closest to participants, while separate brain regions showed preference for all other layers. Moreover, this bipartition reflected cortical preference for different sizes of physical spaces, as well as distinct subsystems of the default mode network. Our results support a division of the neurocognitive processing of social networks into two patterns depending on personal closeness, reflecting the unique role intimately close individuals play in our social lives.

摘要

健康的社交生活需要不同层次的人际关系。基于行为学、社会学和心理学的证据,社交网络已经被分为五个层次,其规模逐渐增大,个人亲密程度逐渐降低。这种划分是否也反映在大脑对社交网络的处理中?在功能磁共振成像期间,21 名参与者将自己与不同个体的亲密程度进行了比较。我们研究了大脑体积,以观察不同亲密程度的大脑区域的差异激活情况,发现该体积的不成比例的大部分(80%)表现出对最接近参与者的个体的偏好,而其他所有层则表现出不同的偏好。此外,这种二分法反映了大脑对不同大小的物理空间的偏好,以及默认模式网络的不同子系统。我们的研究结果支持将社交网络的神经认知处理分为两种模式,这取决于个人的亲密程度,反映了亲密个体在我们社交生活中扮演的独特角色。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/82263ebd379f/42003_2024_6934_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/baef7e1d768f/42003_2024_6934_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/9a2d6f3e6bde/42003_2024_6934_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/81f11a830a93/42003_2024_6934_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/82263ebd379f/42003_2024_6934_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/baef7e1d768f/42003_2024_6934_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/9a2d6f3e6bde/42003_2024_6934_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/81f11a830a93/42003_2024_6934_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f86a/11467261/82263ebd379f/42003_2024_6934_Fig4_HTML.jpg

相似文献

1
Processing of social closeness in the human brain.人类大脑中对社交亲近程度的处理。
Commun Biol. 2024 Oct 10;7(1):1293. doi: 10.1038/s42003-024-06934-8.
2
Default network interactivity during mentalizing about known others is modulated by age and social closeness.默认网络在对熟人进行心理化时的交互性受年龄和社会亲密程度的调节。
Soc Cogn Affect Neurosci. 2020 Jul 1;15(5):537-549. doi: 10.1093/scan/nsaa067.
3
Brain Coding of Social Network Structure.社交网络结构的大脑编码。
J Neurosci. 2021 Jun 2;41(22):4897-4909. doi: 10.1523/JNEUROSCI.2641-20.2021. Epub 2021 Apr 26.
4
The influence of relationship closeness on default-mode network connectivity during social interactions.社交互动过程中关系亲密度对默认模式网络连通性的影响。
Soc Cogn Affect Neurosci. 2020 May 19;15(3):261-271. doi: 10.1093/scan/nsaa031.
5
Adolescents' neural response to social reward and real-world emotional closeness and positive affect.青少年对社会奖励、现实世界中的情感亲密和积极情感的神经反应。
Cogn Affect Behav Neurosci. 2018 Aug;18(4):705-717. doi: 10.3758/s13415-018-0598-0.
6
A robust dissociation among the language, multiple demand, and default mode networks: Evidence from inter-region correlations in effect size.语言、多重需求和默认模式网络之间的稳健分离:来自效应量的区域间相关性的证据。
Neuropsychologia. 2018 Oct;119:501-511. doi: 10.1016/j.neuropsychologia.2018.09.011. Epub 2018 Sep 20.
7
Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village.静息状态下功能脑连接的相似性可预测整个村庄社交网络中的人际亲密度。
Proc Natl Acad Sci U S A. 2020 Dec 29;117(52):33149-33160. doi: 10.1073/pnas.2013606117. Epub 2020 Dec 14.
8
When BOLD is thicker than water: processing social information about kin and friends at different levels of the social network.当亲情浓于水时:在不同社会网络层次处理关于亲属和朋友的社会信息
Soc Cogn Affect Neurosci. 2016 Dec;11(12):1952-1960. doi: 10.1093/scan/nsw101. Epub 2016 Aug 30.
9
Mental travel in the person domain.个体心理旅行。
J Neurophysiol. 2021 Aug 1;126(2):464-476. doi: 10.1152/jn.00695.2020. Epub 2021 Jun 16.
10
Interpersonal context and desired emotional closeness in neural response to negative visual stimuli: Preliminary findings.人际语境和对负面视觉刺激的神经反应中期望的情感亲近:初步发现。
Brain Behav. 2022 Jan;12(1):e2438. doi: 10.1002/brb3.2438. Epub 2021 Dec 7.

引用本文的文献

1
The 3D Vertical Maze: A new model system for studying the interactions between social and spatial cognition.3D垂直迷宫:一种用于研究社会认知与空间认知之间相互作用的新型模型系统。
J Neurosci Methods. 2025 Jun;418:110414. doi: 10.1016/j.jneumeth.2025.110414. Epub 2025 Feb 28.
2
Neural correlates of communication modes in medical students using fMRI.使用功能磁共振成像(fMRI)研究医学生沟通模式的神经关联
Brain Imaging Behav. 2025 Apr;19(2):446-455. doi: 10.1007/s11682-025-00985-z. Epub 2025 Feb 22.

本文引用的文献

1
What makes an event significant: an fMRI study on self-defining memories.什么构成了重要事件:一项关于自我定义记忆的 fMRI 研究。
Cereb Cortex. 2024 Jul 3;34(7). doi: 10.1093/cercor/bhae303.
2
Structural and Cognitive Mechanisms of Group Cohesion in Primates.灵长类动物群体凝聚力的结构和认知机制
Behav Brain Sci. 2024 Apr 30:1-80. doi: 10.1017/S0140525X2400030X.
3
Lost in space(s): Multimodal neuroimaging of disorientation along the Alzheimer's disease continuum.迷失在空间中:沿着阿尔茨海默病连续体的定向障碍的多模态神经影像学研究。
Hum Brain Mapp. 2024 Mar;45(4):e26623. doi: 10.1002/hbm.26623.
4
Abstract cognitive maps of social network structure aid adaptive inference.抽象的社会网络结构认知图有助于适应性推理。
Proc Natl Acad Sci U S A. 2023 Nov 21;120(47):e2310801120. doi: 10.1073/pnas.2310801120. Epub 2023 Nov 14.
5
Time-dependent memory transformation in hippocampus and neocortex is semantic in nature.海马体和新皮层中的时变记忆转化本质上是语义性的。
Nat Commun. 2023 Sep 27;14(1):6037. doi: 10.1038/s41467-023-41648-1.
6
Chimpanzees organize their social relationships like humans.黑猩猩像人类一样组织他们的社会关系。
Sci Rep. 2022 Oct 5;12(1):16641. doi: 10.1038/s41598-022-20672-z.
7
Social connections predict brain structure in a multidimensional free-ranging primate society.社会联系可预测多维自由放养灵长类动物社会中的大脑结构。
Sci Adv. 2022 Apr 15;8(15):eabl5794. doi: 10.1126/sciadv.abl5794. Epub 2022 Apr 13.
8
Transforming social perspectives with cognitive maps.用认知图转化社会观念。
Soc Cogn Affect Neurosci. 2022 Oct 3;17(10):939-955. doi: 10.1093/scan/nsac017.
9
Gradients in brain organization.大脑组织中的梯度
Neuroimage. 2022 May 1;251:118987. doi: 10.1016/j.neuroimage.2022.118987. Epub 2022 Feb 10.
10
Cognitive maps of social features enable flexible inference in social networks.社会特征的认知图谱使在社交网络中进行灵活的推理成为可能。
Proc Natl Acad Sci U S A. 2021 Sep 28;118(39). doi: 10.1073/pnas.2021699118.