• 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

共享的神经表示和政治内容的时间分割预测了意识形态的相似性。

Shared neural representations and temporal segmentation of political content predict ideological similarity.

机构信息

Department of Cognitive, Linguistic, Psychological Sciences, Brown University, Providence, RI, USA.

Trimbos Institute, Netherlands Institute of Mental Health and Addiction, Utrecht, Netherlands.

出版信息

Sci Adv. 2023 Feb 3;9(5):eabq5920. doi: 10.1126/sciadv.abq5920. Epub 2023 Feb 1.

DOI:10.1126/sciadv.abq5920
PMID:36724226
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9891706/
Abstract

Despite receiving the same sensory input, opposing partisans often interpret political content in disparate ways. Jointly analyzing controlled and naturalistic functional magnetic resonance imaging data, we uncover the neurobiological mechanisms explaining how these divergent political viewpoints arise. Individuals who share an ideology have more similar neural representations of political words, experience greater neural synchrony during naturalistic political content, and temporally segment real-world information into the same meaningful units. In the striatum and amygdala, increasing intersubject similarity in neural representations of political concepts during a word reading task predicts enhanced synchronization of blood oxygen level-dependent time courses when viewing real-time, inflammatory political videos, revealing that polarization can arise from differences in the brain's affective valuations of political concepts. Together, this research shows that political ideology is shaped by semantic representations of political concepts processed in an environment free of any polarizing agenda and that these representations bias how real-world political information is construed into a polarized perspective.

摘要

尽管接收到相同的感官输入,对立的党派人士往往会以截然不同的方式来解释政治内容。通过联合分析受控和自然主义功能磁共振成像数据,我们揭示了解释这些不同政治观点如何产生的神经生物学机制。具有相同意识形态的个体对政治词汇有更相似的神经表现,在自然主义政治内容期间经历更大的神经同步,并且将现实世界的信息按时间划分为相同的有意义的单位。在纹状体和杏仁核中,在阅读单词任务中政治概念的神经表现的主体间相似性增加,预测在观看实时炎症性政治视频时血氧水平依赖性时间过程的同步增强,表明极化可能源于大脑对政治概念的情感评估的差异。总的来说,这项研究表明,政治意识形态是由在没有任何极化议程的环境中处理的政治概念的语义表现塑造的,这些表现会影响如何将现实世界的政治信息构建成一个极化的视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/67f64f4d16a5/sciadv.abq5920-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/a090b5a5c903/sciadv.abq5920-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/424d6ab836db/sciadv.abq5920-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/93babf16a3af/sciadv.abq5920-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/9f40a1eb8756/sciadv.abq5920-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/67f64f4d16a5/sciadv.abq5920-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/a090b5a5c903/sciadv.abq5920-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/424d6ab836db/sciadv.abq5920-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/93babf16a3af/sciadv.abq5920-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/9f40a1eb8756/sciadv.abq5920-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d31/9891706/67f64f4d16a5/sciadv.abq5920-f5.jpg

相似文献

1
Shared neural representations and temporal segmentation of political content predict ideological similarity.共享的神经表示和政治内容的时间分割预测了意识形态的相似性。
Sci Adv. 2023 Feb 3;9(5):eabq5920. doi: 10.1126/sciadv.abq5920. Epub 2023 Feb 1.
2
Intolerance of uncertainty modulates brain-to-brain synchrony during politically polarized perception.不确定性容忍度调节政治极化感知过程中的大脑间同步性。
Proc Natl Acad Sci U S A. 2021 May 18;118(20). doi: 10.1073/pnas.2022491118.
3
Conservative and liberal attitudes drive polarized neural responses to political content.保守和自由的态度驱动对政治内容的两极化神经反应。
Proc Natl Acad Sci U S A. 2020 Nov 3;117(44):27731-27739. doi: 10.1073/pnas.2008530117. Epub 2020 Oct 20.
4
Deeper Than You Think: Partisanship-Dependent Brain Responses in Early Sensory and Motor Brain Regions.远比你想象的更深入: partisanship-dependent brain responses in early sensory and motor brain regions.
J Neurosci. 2023 Feb 8;43(6):1027-1037. doi: 10.1523/JNEUROSCI.0895-22.2022. Epub 2023 Jan 4.
5
They Saw a Debate: Political Polarization Is Associated with Greater Multivariate Neural Synchrony When Viewing the Opposing Candidate Speak.他们观察到一场辩论:当观看对立候选人发言时,政治两极分化与更大的多元神经同步性相关。
J Cogn Neurosci. 2022 Dec 1;35(1):60-73. doi: 10.1162/jocn_a_01888.
6
Predicting Neural Activity Patterns Associated with Sentences Using a Neurobiologically Motivated Model of Semantic Representation.使用基于语义表示的神经生物学模型预测与句子相关的神经活动模式。
Cereb Cortex. 2017 Sep 1;27(9):4379-4395. doi: 10.1093/cercor/bhw240.
7
Individual differences in encoded neural representations within cortical speech production network.皮质言语产生网络中编码神经表示的个体差异。
Brain Res. 2020 Jan 1;1726:146483. doi: 10.1016/j.brainres.2019.146483. Epub 2019 Oct 1.
8
Representational similarity analysis reveals commonalities and differences in the semantic processing of words and objects.表象相似性分析揭示了词和物体语义处理的共性和差异。
J Neurosci. 2013 Nov 27;33(48):18906-16. doi: 10.1523/JNEUROSCI.3809-13.2013.
9
Correspondence between cognitive and neural representations for phonology, orthography, and semantics in supramarginal compared to angular gyrus.与角回相比,缘上回中语音、正字法和语义的认知与神经表征之间的对应关系。
Brain Struct Funct. 2023 Jan;228(1):255-271. doi: 10.1007/s00429-022-02590-y. Epub 2022 Nov 3.
10
Representational formats of human memory traces.人类记忆痕迹的表象形式。
Brain Struct Funct. 2024 Apr;229(3):513-529. doi: 10.1007/s00429-023-02636-9. Epub 2023 Apr 6.

引用本文的文献

1
Optimistic people are all alike: Shared neural representations supporting episodic future thinking among optimistic individuals.乐观的人都有相似之处:支持乐观个体情景式未来思维的共享神经表征。
Proc Natl Acad Sci U S A. 2025 Jul 29;122(30):e2511101122. doi: 10.1073/pnas.2511101122. Epub 2025 Jul 21.
2
Youth's Political Identity and Fertility Desires.青年的政治身份与生育意愿。
J Marriage Fam. 2024 Aug;86(4):1132-1148. doi: 10.1111/jomf.13000. Epub 2024 May 13.
3
Cortical representational geometry of diverse tasks reveals subject-specific and subject-invariant cognitive structures.

本文引用的文献

1
The polarized mind in context: Interdisciplinary approaches to the psychology of political polarization.语境中的极化思维:政治极化心理学的跨学科方法。
Am Psychol. 2022 Apr;77(3):394-408. doi: 10.1037/amp0000814. Epub 2021 May 31.
2
Intolerance of uncertainty modulates brain-to-brain synchrony during politically polarized perception.不确定性容忍度调节政治极化感知过程中的大脑间同步性。
Proc Natl Acad Sci U S A. 2021 May 18;118(20). doi: 10.1073/pnas.2022491118.
3
Endogenous variation in ventromedial prefrontal cortex state dynamics during naturalistic viewing reflects affective experience.
不同任务的皮质表征几何揭示了特定于个体和个体不变的认知结构。
Commun Biol. 2025 May 8;8(1):713. doi: 10.1038/s42003-025-08134-4.
4
The paradoxical brain: paradoxes impact conflict perspectives through increased neural alignment.矛盾的大脑:矛盾通过增加神经一致性来影响冲突观点。
Cereb Cortex. 2024 Sep 3;34(9). doi: 10.1093/cercor/bhae353.
在自然观看过程中,腹内侧前额叶皮层状态动态的内源性变化反映了情感体验。
Sci Adv. 2021 Apr 23;7(17). doi: 10.1126/sciadv.abf7129. Print 2021 Apr.
4
Affective polarization, local contexts and public opinion in America.情感极化、局部语境与美国舆论
Nat Hum Behav. 2021 Jan;5(1):28-38. doi: 10.1038/s41562-020-01012-5. Epub 2020 Nov 23.
5
Political sectarianism in America.美国的政治宗派主义。
Science. 2020 Oct 30;370(6516):533-536. doi: 10.1126/science.abe1715.
6
Conservative and liberal attitudes drive polarized neural responses to political content.保守和自由的态度驱动对政治内容的两极化神经反应。
Proc Natl Acad Sci U S A. 2020 Nov 3;117(44):27731-27739. doi: 10.1073/pnas.2008530117. Epub 2020 Oct 20.
7
Movie viewing elicits rich and reliable brain state dynamics.观影会引发丰富而可靠的大脑状态动力学。
Nat Commun. 2020 Oct 5;11(1):5004. doi: 10.1038/s41467-020-18717-w.
8
Keep it real: rethinking the primacy of experimental control in cognitive neuroscience.保持真实:重新思考认知神经科学中实验控制的首要地位。
Neuroimage. 2020 Nov 15;222:117254. doi: 10.1016/j.neuroimage.2020.117254. Epub 2020 Aug 13.
9
General and feature-based semantic representations in the semantic network.语义网络中的一般和基于特征的语义表示。
Sci Rep. 2020 Jun 2;10(1):8931. doi: 10.1038/s41598-020-65906-0.
10
The spatial arrangement method of measuring similarity can capture high-dimensional semantic structures.测量相似度的空间排列方法可以捕捉到高维语义结构。
Behav Res Methods. 2020 Oct;52(5):1906-1928. doi: 10.3758/s13428-020-01362-y.