• 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

个体单词的表示形式沿着皮质单模态到异模态梯度与语言语境分离。

Individual word representations dissociate from linguistic context along a cortical unimodal to heteromodal gradient.

机构信息

Department of Psychology, University of York, York, UK.

York Neuroimaging Centre, Innovation Way, York, UK.

出版信息

Hum Brain Mapp. 2024 Feb 1;45(2):e26607. doi: 10.1002/hbm.26607.

DOI:10.1002/hbm.26607
PMID:38339897
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10836172/
Abstract

Language comprehension involves multiple hierarchical processing stages across time, space, and levels of representation. When processing a word, the sensory input is transformed into increasingly abstract representations that need to be integrated with the linguistic context. Thus, language comprehension involves both input-driven as well as context-dependent processes. While neuroimaging research has traditionally focused on mapping individual brain regions to the distinct underlying processes, recent studies indicate that whole-brain distributed patterns of cortical activation might be highly relevant for cognitive functions, including language. One such pattern, based on resting-state connectivity, is the 'principal cortical gradient', which dissociates sensory from heteromodal brain regions. The present study investigated the extent to which this gradient provides an organizational principle underlying language function, using a multimodal neuroimaging dataset of functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) recordings from 102 participants during sentence reading. We found that the brain response to individual representations of a word (word length, orthographic distance, and word frequency), which reflect visual; orthographic; and lexical properties, gradually increases towards the sensory end of the gradient. Although these properties showed opposite effect directions in fMRI and MEG, their association with the sensory end of the gradient was consistent across both neuroimaging modalities. In contrast, MEG revealed that properties reflecting a word's relation to its linguistic context (semantic similarity and position within the sentence) involve the heteromodal end of the gradient to a stronger extent. This dissociation between individual word and contextual properties was stable across earlier and later time windows during word presentation, indicating interactive processing of word representations and linguistic context at opposing ends of the principal gradient. To conclude, our findings indicate that the principal gradient underlies the organization of a range of linguistic representations while supporting a gradual distinction between context-independent and context-dependent representations. Furthermore, the gradient reveals convergent patterns across neuroimaging modalities (similar location along the gradient) in the presence of divergent responses (opposite effect directions).

摘要

语言理解涉及跨时间、空间和表示层次的多个分层处理阶段。在处理一个单词时,感觉输入会转化为越来越抽象的表示,这些表示需要与语言语境相结合。因此,语言理解既涉及输入驱动的过程,也涉及依赖语境的过程。虽然神经影像学研究传统上侧重于将单个脑区映射到不同的基础过程,但最近的研究表明,皮质激活的全脑分布式模式可能与认知功能(包括语言)高度相关。基于静息态连接的这样一种模式是“主要皮质梯度”,它将感觉与异模态脑区区分开来。本研究使用来自 102 名参与者在阅读句子期间的功能磁共振成像(fMRI)和脑磁图(MEG)记录的多模态神经影像学数据集,调查了这种梯度在多大程度上为语言功能提供了组织原则。我们发现,大脑对单词的单个表示(单词长度、正字法距离和单词频率)的反应逐渐向梯度的感觉端增加,这些反应反映了视觉、正字法和词汇属性。尽管这些属性在 fMRI 和 MEG 中表现出相反的效应方向,但它们与梯度感觉端的关联在两种神经影像学模式中都是一致的。相比之下,MEG 揭示了反映单词与其语言语境之间关系的属性(语义相似性和句子中的位置)在更大程度上涉及到异模态端的梯度。这种个体单词和语境属性之间的分离在单词呈现的早期和晚期时间窗口中是稳定的,这表明单词表示和语言语境在主要梯度的相反端进行交互处理。总之,我们的研究结果表明,主要梯度是一系列语言表示的组织基础,同时支持上下文独立和上下文依赖的表示之间的逐渐区分。此外,梯度在存在发散反应(相反的效应方向)的情况下,揭示了跨神经影像学模式的收敛模式(梯度上的相似位置)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/c087c22a43ad/HBM-45-e26607-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/fdb62a3b36eb/HBM-45-e26607-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/a4659a0c65b0/HBM-45-e26607-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/67a7d94b21fe/HBM-45-e26607-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/164169721a20/HBM-45-e26607-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/c087c22a43ad/HBM-45-e26607-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/fdb62a3b36eb/HBM-45-e26607-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/a4659a0c65b0/HBM-45-e26607-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/67a7d94b21fe/HBM-45-e26607-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/164169721a20/HBM-45-e26607-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bb4d/10836172/c087c22a43ad/HBM-45-e26607-g003.jpg

相似文献

1
Individual word representations dissociate from linguistic context along a cortical unimodal to heteromodal gradient.个体单词的表示形式沿着皮质单模态到异模态梯度与语言语境分离。
Hum Brain Mapp. 2024 Feb 1;45(2):e26607. doi: 10.1002/hbm.26607.
2
Combined eye tracking and fMRI reveals neural basis of linguistic predictions during sentence comprehension.眼动追踪与功能磁共振成像相结合揭示句子理解过程中语言预测的神经基础。
Cortex. 2015 Jul;68:33-47. doi: 10.1016/j.cortex.2015.04.011. Epub 2015 Apr 27.
3
Deep Artificial Neural Networks Reveal a Distributed Cortical Network Encoding Propositional Sentence-Level Meaning.深度人工神经网络揭示命题句级意义的分布式皮层网络编码。
J Neurosci. 2021 May 5;41(18):4100-4119. doi: 10.1523/JNEUROSCI.1152-20.2021. Epub 2021 Mar 22.
4
Predictive pre-activation of orthographic and lexical-semantic representations facilitates visual word recognition.预测性预激活字形和词汇语义表征可促进视觉词汇识别。
Psychophysiology. 2022 Mar;59(3):e13970. doi: 10.1111/psyp.13970. Epub 2021 Nov 23.
5
Delta-Band Neural Responses to Individual Words Are Modulated by Sentence Processing.Delta 波段神经对单个单词的反应受句子处理的调节。
J Neurosci. 2023 Jun 28;43(26):4867-4883. doi: 10.1523/JNEUROSCI.0964-22.2023. Epub 2023 May 23.
6
A Heteromodal Word-Meaning Binding Site in the Visual Word Form Area under Top-Down Frontoparietal Control.顶叶顶间控制下的视觉词形区中的异模态词义绑定位点。
J Neurosci. 2021 Apr 28;41(17):3854-3869. doi: 10.1523/JNEUROSCI.2771-20.2021. Epub 2021 Mar 9.
7
A Distributed Network for Multimodal Experiential Representation of Concepts.一种用于概念的多模式体验表示的分布式网络。
J Neurosci. 2022 Sep 14;42(37):7121-7130. doi: 10.1523/JNEUROSCI.1243-21.2022. Epub 2022 Aug 8.
8
Lexical and syntactic representations in the brain: an fMRI investigation with multi-voxel pattern analyses.大脑中的词汇和句法表征:基于多体素模式分析的 fMRI 研究。
Neuropsychologia. 2012 Mar;50(4):499-513. doi: 10.1016/j.neuropsychologia.2011.09.014. Epub 2011 Sep 17.
9
Localization of electrophysiological responses to semantic and syntactic anomalies in language comprehension with MEG.使用 MEG 定位语言理解中语义和句法异常的电生理反应。
Neuroimage. 2015 Jan 15;105:507-24. doi: 10.1016/j.neuroimage.2014.11.016. Epub 2014 Nov 14.
10
Heteromodal Cortical Areas Encode Sensory-Motor Features of Word Meaning.异模态皮层区域编码词义的感觉运动特征。
J Neurosci. 2016 Sep 21;36(38):9763-9. doi: 10.1523/JNEUROSCI.4095-15.2016.

引用本文的文献

1
The structure of spontaneous speech changes in Alzheimer's disease: Crosslingual evidence from English and Greek.阿尔茨海默病中自发语言的结构变化:来自英语和希腊语的跨语言证据。
PLoS One. 2025 May 22;20(5):e0324270. doi: 10.1371/journal.pone.0324270. eCollection 2025.
2
Whole-Brain Dimensions of Intrinsic Connectivity Capture Modality-Specific and Heteromodal Language Representations.内在连接性的全脑维度捕捉特定模态和跨模态语言表征。
J Neurosci. 2025 May 28;45(22):e1876242025. doi: 10.1523/JNEUROSCI.1876-24.2025.
3
A novel adaptive lightweight multimodal efficient feature inference network ALME-FIN for EEG emotion recognition.

本文引用的文献

1
Lexical Frequency and Sentence Context Influence the Brain's Response to Single Words.词汇频率和句子语境影响大脑对单个单词的反应。
Neurobiol Lang (Camb). 2022 Feb 10;3(1):149-179. doi: 10.1162/nol_a_00054. eCollection 2022.
2
A study on surprisal and semantic relatedness for eye-tracking data prediction.一项关于用于眼动追踪数据预测的意外性和语义相关性的研究。
Front Psychol. 2023 Feb 2;14:1112365. doi: 10.3389/fpsyg.2023.1112365. eCollection 2023.
3
Distinct patterns of cortical manifold expansion and contraction underlie human sensorimotor adaptation.
一种用于脑电图情感识别的新型自适应轻量级多模态高效特征推理网络ALME-FIN
Cogn Neurodyn. 2025 Dec;19(1):24. doi: 10.1007/s11571-024-10186-x. Epub 2025 Jan 13.
皮层流形的扩张和收缩模式的差异是人类感觉运动适应的基础。
Proc Natl Acad Sci U S A. 2022 Dec 27;119(52):e2209960119. doi: 10.1073/pnas.2209960119. Epub 2022 Dec 20.
4
Flexing the principal gradient of the cerebral cortex to suit changing semantic task demands.灵活调整大脑皮层的主梯度以适应不断变化的语义任务需求。
Elife. 2022 Sep 28;11:e80368. doi: 10.7554/eLife.80368.
5
Modulation of brain activity by psycholinguistic information during naturalistic speech comprehension and production.心理语言学信息在自然语言理解和产生过程中对大脑活动的调节。
Cortex. 2022 Oct;155:287-306. doi: 10.1016/j.cortex.2022.08.002. Epub 2022 Aug 17.
6
Physical distance to sensory-motor landmarks predicts language function.距离感觉运动地标物的远近可预测语言功能。
Cereb Cortex. 2023 Apr 4;33(8):4305-4318. doi: 10.1093/cercor/bhac344.
7
Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex.人类电磁和血液动力学网络在单模态皮质中系统地汇聚,在跨模态皮质中发散。
PLoS Biol. 2022 Aug 1;20(8):e3001735. doi: 10.1371/journal.pbio.3001735. eCollection 2022 Aug.
8
The lexical categorization model: A computational model of left ventral occipito-temporal cortex activation in visual word recognition.词汇分类模型:左腹侧枕颞叶皮层在视觉单词识别中的激活的计算模型。
PLoS Comput Biol. 2022 Jun 9;18(6):e1009995. doi: 10.1371/journal.pcbi.1009995. eCollection 2022 Jun.
9
Individual differences in gradients of intrinsic connectivity within the semantic network relate to distinct aspects of semantic cognition.语义网络中内在连通性梯度的个体差异与语义认知的不同方面相关。
Cortex. 2022 May;150:48-60. doi: 10.1016/j.cortex.2022.01.019. Epub 2022 Feb 26.
10
Language Models Explain Word Reading Times Better Than Empirical Predictability.语言模型比经验可预测性能更好地解释单词阅读时间。
Front Artif Intell. 2022 Feb 2;4:730570. doi: 10.3389/frai.2021.730570. eCollection 2021.