• 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

检测相邻与非相邻序列依赖违反情况的不同神经网络:一项 fMRI 研究。

Distinct neural networks for detecting violations of adjacent versus nonadjacent sequential dependencies: An fMRI study.

机构信息

Department of Psychology, Georgia State University, Atlanta, GA, USA; Neuroscience Institute, Georgia State University, Atlanta, GA, USA; Center for Childhood Deafness, Language, and Learning, Boys Town National Research Hospital, Omaha, NE, USA(1).

Department of Psychology, Georgia State University, Atlanta, GA, USA.

出版信息

Neurobiol Learn Mem. 2020 Mar;169:107175. doi: 10.1016/j.nlm.2020.107175. Epub 2020 Feb 1.

DOI:10.1016/j.nlm.2020.107175
PMID:32018026
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7064258/
Abstract

The ability to learn and process sequential dependencies is essential for language acquisition and other cognitive domains. Recent studies suggest that the learning of adjacent (e.g., "A-B") versus nonadjacent (e.g., "A-X-B") dependencies have different cognitive demands, but the neural correlates accompanying such processing are currently underspecified. We developed a sequential learning task in which sequences of printed nonsense syllables containing both adjacent and nonadjacent dependencies were presented. After incidentally learning these grammatical sequences, twenty-one healthy adults (age M = 22.1, 12 females) made familiarity judgments about novel grammatical sequences and ungrammatical sequences containing violations of the adjacent or nonadjacent structure while in a 3T MRI scanner. Violations of adjacent dependencies were associated with increased BOLD activation in both posterior (lateral occipital and angular gyrus) as well as frontal regions (e.g., medial frontal gyrus, inferior frontal gyrus). Initial results indicated no regions showing significant BOLD activations for the violations of nonadjacent dependencies. However, when using a less stringent cluster threshold, exploratory analyses revealed that violations of nonadjacent dependencies were associated with increased activation in subcallosal cortex, paracingulate cortex, and anterior cingulate cortex (ACC). Finally, when directly comparing the adjacent condition to the nonadjacent condition, we found significantly greater levels of activation for the right superior lateral occipital cortex (BA 19) for the adjacent relative to nonadjacent condition. In sum, the detection of violations of adjacent and nonadjacent dependencies appear to involve distinct neural networks, with perceptual brain regions mediating the processing of adjacent but not nonadjacent dependencies. These results are consistent with recent proposals that statistical-sequential learning is not a unified construct but depends on the interaction of multiple neurocognitive mechanisms acting together.

摘要

学习和处理顺序依赖性的能力对于语言习得和其他认知领域至关重要。最近的研究表明,学习相邻(例如,“A-B”)和非相邻(例如,“A-X-B”)依赖性具有不同的认知要求,但目前对伴随这种处理的神经相关性还知之甚少。我们开发了一个序列学习任务,其中包含相邻和非相邻依赖性的打印无意义音节序列被呈现。在偶然学习这些语法序列后,二十一名健康成年人(年龄 M=22.1,12 名女性)在 3T MRI 扫描仪中对新的语法序列和包含违反相邻或非相邻结构的不合语法序列进行熟悉度判断。相邻依赖性的违反与后(外侧枕叶和角回)和前(例如,额内侧回、额下回)区域的 BOLD 激活增加有关。最初的结果表明,对于非相邻依赖性的违反,没有显示出显著的 BOLD 激活区域。然而,当使用较不严格的簇阈值进行探索性分析时,发现违反非相邻依赖性与扣带回下皮质、旁中央皮质和前扣带皮层(ACC)的激活增加有关。最后,当直接比较相邻条件和非相邻条件时,我们发现右外侧顶叶上回(BA 19)的激活水平对于相邻条件相对于非相邻条件显著更高。总之,相邻和非相邻依赖性违反的检测似乎涉及不同的神经网络,感知大脑区域介导相邻依赖性但不介导非相邻依赖性的处理。这些结果与最近的建议一致,即统计序列学习不是一个统一的结构,而是取决于多个神经认知机制的相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/455ebf7231f4/nihms-1559480-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/451d0c98d606/nihms-1559480-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/4fc4b3e4fb3e/nihms-1559480-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/c51de6e857fb/nihms-1559480-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/472ec8db8daf/nihms-1559480-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/455ebf7231f4/nihms-1559480-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/451d0c98d606/nihms-1559480-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/4fc4b3e4fb3e/nihms-1559480-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/c51de6e857fb/nihms-1559480-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/472ec8db8daf/nihms-1559480-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7595/7064258/455ebf7231f4/nihms-1559480-f0006.jpg

相似文献

1
Distinct neural networks for detecting violations of adjacent versus nonadjacent sequential dependencies: An fMRI study.检测相邻与非相邻序列依赖违反情况的不同神经网络:一项 fMRI 研究。
Neurobiol Learn Mem. 2020 Mar;169:107175. doi: 10.1016/j.nlm.2020.107175. Epub 2020 Feb 1.
2
Is an attention-based associative account of adjacent and nonadjacent dependency learning valid?基于注意力的相邻和非相邻依赖学习的关联解释是否有效?
Acta Psychol (Amst). 2015 May;157:195-9. doi: 10.1016/j.actpsy.2015.03.002. Epub 2015 Mar 26.
3
Concurrent visual learning of adjacent and nonadjacent dependencies in adults and children.成人和儿童对相邻和非相邻依存关系的同时视觉学习。
Dev Psychol. 2021 May;57(5):733-748. doi: 10.1037/dev0000998.
4
Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences.视觉空间和视觉语言序列中相邻与非相邻依赖关系的并发学习
Front Psychol. 2019 May 17;10:1107. doi: 10.3389/fpsyg.2019.01107. eCollection 2019.
5
Neural Activity During Mental Rotation in Deaf Signers: The Influence of Long-Term Sign Language Experience.聋人手语者心理旋转过程中的神经活动:长期手语经验的影响。
Ear Hear. 2018 Sep/Oct;39(5):1015-1024. doi: 10.1097/AUD.0000000000000540.
6
Neural Basis of the Implicit Learning of Complex Artificial Grammar with Nonadjacent Dependencies.非相邻依存关系下复杂人工语法内隐学习的神经基础。
J Cogn Neurosci. 2022 Nov 1;34(12):2375-2389. doi: 10.1162/jocn_a_01910.
7
Ventral premotor cortex lesions disrupt learning of sequential grammatical structures.腹侧运动前皮质损伤破坏了序列语法结构的学习。
Cortex. 2012 Jun;48(6):664-73. doi: 10.1016/j.cortex.2011.02.013. Epub 2011 Feb 23.
8
Twelve-month-old infants benefit from prior experience in statistical learning.12个月大的婴儿从统计学习的先前经验中受益。
Psychol Sci. 2008 Dec;19(12):1247-52. doi: 10.1111/j.1467-9280.2008.02233.x.
9
Neural bases of learning and recognition of statistical regularities.学习和识别统计规律的神经基础。
Ann N Y Acad Sci. 2020 May;1467(1):60-76. doi: 10.1111/nyas.14299. Epub 2020 Jan 9.
10
What artificial grammar learning reveals about the neurobiology of syntax.人工语法学习揭示的句法神经生物学。
Brain Lang. 2012 Feb;120(2):83-95. doi: 10.1016/j.bandl.2010.08.003. Epub 2010 Oct 12.

引用本文的文献

1
Elucidating a statistical learning brain network: Coordinate-based meta-analyses and functional connectivity profiles of artificial grammar learning in healthy adults.阐明统计学习脑网络:基于坐标的元分析及健康成年人人工语法学习的功能连接概况。
Imaging Neurosci (Camb). 2024 Nov 7;2. doi: 10.1162/imag_a_00355. eCollection 2024.
2
A neurophysiological perspective on the integration between incidental learning and cognitive control.从神经生理学角度看偶然学习与认知控制的整合。
Commun Biol. 2023 Mar 27;6(1):329. doi: 10.1038/s42003-023-04692-7.
3
Incidental auditory category learning and visuomotor sequence learning do not compete for cognitive resources.

本文引用的文献

1
How does the brain learn environmental structure? Ten core principles for understanding the neurocognitive mechanisms of statistical learning.大脑如何学习环境结构?理解统计学习神经认知机制的十个核心原则。
Neurosci Biobehav Rev. 2020 May;112:279-299. doi: 10.1016/j.neubiorev.2020.01.032. Epub 2020 Feb 1.
2
Concurrent Learning of Adjacent and Nonadjacent Dependencies in Visuo-Spatial and Visuo-Verbal Sequences.视觉空间和视觉语言序列中相邻与非相邻依赖关系的并发学习
Front Psychol. 2019 May 17;10:1107. doi: 10.3389/fpsyg.2019.01107. eCollection 2019.
3
Reading and the Neurocognitive Bases of Statistical Learning.
偶发性听觉类别学习和视觉运动序列学习不会争夺认知资源。
Atten Percept Psychophys. 2023 Feb;85(2):452-462. doi: 10.3758/s13414-022-02616-x. Epub 2022 Dec 12.
4
Brain-correlates of processing local dependencies within a statistical learning paradigm.在统计学习范式中处理局部依赖关系的大脑相关性。
Sci Rep. 2022 Sep 12;12(1):15296. doi: 10.1038/s41598-022-19203-7.
阅读与统计学习的神经认知基础
Sci Stud Read. 2019;23(1):8-23. doi: 10.1080/10888438.2018.1457681. Epub 2018 Apr 18.
4
Multimodal Integration and Vividness in the Angular Gyrus During Episodic Encoding and Retrieval.角回在情景式编码和检索中的多模态整合与生动性。
J Neurosci. 2019 May 29;39(22):4365-4374. doi: 10.1523/JNEUROSCI.2102-18.2018. Epub 2019 Mar 22.
5
Under What Conditions Can Recursion Be Learned? Effects of Starting Small in Artificial Grammar Learning of Center-Embedded Structure.在什么条件下可以学习递归?在中心嵌入结构的人工语法学习中从小处着手的效果。
Cogn Sci. 2018 Nov;42(8):2855-2889. doi: 10.1111/cogs.12685. Epub 2018 Sep 27.
6
Attention reorganizes as structure is detected in dynamic action.当在动态动作中检测到结构时,注意力会重新组织。
Mem Cognit. 2019 Jan;47(1):17-32. doi: 10.3758/s13421-018-0847-z.
7
Anterior paracingulate and cingulate cortex mediates the effects of cognitive load on speech sound discrimination.额前扣带回和扣带回前部皮层介导认知负荷对语音辨别能力的影响。
Neuroimage. 2018 Sep;178:735-743. doi: 10.1016/j.neuroimage.2018.06.035. Epub 2018 Jun 12.
8
The multi-component nature of statistical learning.统计学习的多组件性质。
Philos Trans R Soc Lond B Biol Sci. 2017 Jan 5;372(1711). doi: 10.1098/rstb.2016.0058.
9
Temporal Attention as a Scaffold for Language Development.作为语言发展支架的时间注意力
Front Psychol. 2016 Feb 2;7:44. doi: 10.3389/fpsyg.2016.00044. eCollection 2016.
10
The language faculty that wasn't: a usage-based account of natural language recursion.并非如此的语言官能:基于用法的自然语言递归解释
Front Psychol. 2015 Aug 27;6:1182. doi: 10.3389/fpsyg.2015.01182. eCollection 2015.