• 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

对不熟悉音乐的音乐知识的电生理和行为指标。

Electrophysiological and behavioral indicators of musical knowledge about unfamiliar music.

机构信息

Queen's University, Kingston, Canada.

University of British Columbia, Vancouver, Canada.

出版信息

Sci Rep. 2022 Jan 10;12(1):441. doi: 10.1038/s41598-021-04211-w.

DOI:10.1038/s41598-021-04211-w
PMID:35013467
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8748445/
Abstract

Most listeners possess sophisticated knowledge about the music around them without being aware of it or its intricacies. Previous research shows that we develop such knowledge through exposure. This knowledge can then be assessed using behavioral and neurophysiological measures. It remains unknown however, which neurophysiological measures accompany the development of musical long-term knowledge. In this series of experiments, we first identified a potential ERP marker of musical long-term knowledge by comparing EEG activity following musically unexpected and expected tones within the context of known music (n = 30). We then validated the marker by showing that it does not differentiate between such tones within the context of unknown music (n = 34). In a third experiment, we exposed participants to unknown music (n = 40) and compared EEG data before and after exposure to explore effects of time. Although listeners' behavior indicated musical long-term knowledge, we did not find any effects of time on the ERP marker. Instead, the relationship between behavioral and EEG data suggests musical long-term knowledge may have formed before we could confirm its presence through behavioral measures. Listeners are thus not only knowledgeable about music but seem to also be incredibly fast music learners.

摘要

大多数听众在没有意识到或了解其复杂性的情况下,对周围的音乐拥有复杂的知识。先前的研究表明,我们通过接触来发展这种知识。然后可以使用行为和神经生理测量来评估这种知识。然而,尚不清楚伴随音乐长期知识发展的是哪些神经生理测量。在这一系列实验中,我们首先通过比较已知音乐背景下音乐意外和预期音后的 EEG 活动(n=30),确定了音乐长期知识的潜在 ERP 标志物。然后,我们通过证明该标志物在未知音乐背景下不能区分此类音,验证了该标志物(n=34)。在第三个实验中,我们让参与者接触未知音乐(n=40),并比较暴露前后的 EEG 数据,以探索时间的影响。尽管听众的行为表明他们具有音乐长期知识,但我们没有发现时间对 ERP 标志物的任何影响。相反,行为和 EEG 数据之间的关系表明,音乐长期知识可能在我们通过行为测量确认其存在之前就已经形成。因此,听众不仅对音乐有深入的了解,而且似乎也是非常快速的音乐学习者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/01d742f8e8e6/41598_2021_4211_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/107426553a8c/41598_2021_4211_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/f43960343ac4/41598_2021_4211_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/f8d16bb65c86/41598_2021_4211_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/908b778b52ae/41598_2021_4211_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/54004f4f5d7a/41598_2021_4211_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/476f30ed3160/41598_2021_4211_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/01d742f8e8e6/41598_2021_4211_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/107426553a8c/41598_2021_4211_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/f43960343ac4/41598_2021_4211_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/f8d16bb65c86/41598_2021_4211_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/908b778b52ae/41598_2021_4211_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/54004f4f5d7a/41598_2021_4211_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/476f30ed3160/41598_2021_4211_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a46a/8748445/01d742f8e8e6/41598_2021_4211_Fig7_HTML.jpg

相似文献

1
Electrophysiological and behavioral indicators of musical knowledge about unfamiliar music.对不熟悉音乐的音乐知识的电生理和行为指标。
Sci Rep. 2022 Jan 10;12(1):441. doi: 10.1038/s41598-021-04211-w.
2
More about the musical expertise of musically untrained listeners.关于未受过音乐训练的听众的音乐专业知识的更多内容。
Ann N Y Acad Sci. 2003 Nov;999:304-12. doi: 10.1196/annals.1284.041.
3
A Neurophysiological Study of Musical Pitch Identification in Mandarin-Speaking Cochlear Implant Users.一项针对说普通话的人工耳蜗使用者音乐音高识别的神经生理学研究。
Neural Plast. 2020 Jul 22;2020:4576729. doi: 10.1155/2020/4576729. eCollection 2020.
4
Spontaneous sensorimotor coupling with multipart music.与多部分音乐的自发感觉运动耦合。
J Exp Psychol Hum Percept Perform. 2014 Aug;40(4):1679-96. doi: 10.1037/a0037154. Epub 2014 Jun 30.
5
Enculturation to musical pitch structure in young children: evidence from behavioral and electrophysiological methods.儿童对音乐音高结构的文化适应:来自行为和电生理学方法的证据。
Dev Sci. 2014 Jan;17(1):142-58. doi: 10.1111/desc.12100. Epub 2013 Nov 11.
6
Are lexical tones musical? Native language's influence on neural response to pitch in different domains.声调有音乐性吗?母语对不同领域音高神经反应的影响。
Brain Lang. 2018 May-Jul;180-182:31-41. doi: 10.1016/j.bandl.2018.04.006. Epub 2018 Apr 23.
7
Emotional response to musical repetition.对音乐重复的情绪反应。
Emotion. 2012 Jun;12(3):552-67. doi: 10.1037/a0023747. Epub 2011 Jun 27.
8
Syntactic complexity and musical proficiency modulate neural processing of non-native music.句法复杂度和音乐能力调节非母语音乐的神经加工。
Neuropsychologia. 2018 Dec;121:164-174. doi: 10.1016/j.neuropsychologia.2018.10.005. Epub 2018 Oct 22.
9
Implicit investigations of tonal knowledge in nonmusician listeners.对非音乐家听众声调知识的隐性研究。
Ann N Y Acad Sci. 2005 Dec;1060:100-10. doi: 10.1196/annals.1360.007.
10
Effects of context on electrophysiological response to musical accents.语境对音乐重音电生理反应的影响。
Ann N Y Acad Sci. 2009 Jul;1169:470-80. doi: 10.1111/j.1749-6632.2009.04584.x.

本文引用的文献

1
Mapping Tonal Hierarchy in the Brain.大脑中的音高层级映射。
Neuroscience. 2021 Jun 15;465:187-202. doi: 10.1016/j.neuroscience.2021.03.019. Epub 2021 Mar 25.
2
The role of duration and frequency of occurrence in perceived pitch structure.在感知音高结构中,持续时间和出现频率的作用。
PLoS One. 2020 Sep 21;15(9):e0239582. doi: 10.1371/journal.pone.0239582. eCollection 2020.
3
Rapid Brain Responses to Familiar vs. Unfamiliar Music - an EEG and Pupillometry study.快速脑反应对熟悉与不熟悉音乐的差异——一项 EEG 和瞳孔测量研究。
Sci Rep. 2019 Oct 30;9(1):15570. doi: 10.1038/s41598-019-51759-9.
4
When the statistical MMN meets the physical MMN.当统计 MMN 遇到物理 MMN。
Sci Rep. 2019 Apr 3;9(1):5563. doi: 10.1038/s41598-019-42066-4.
5
Random Feedback Makes Listeners Tone-Deaf.随机反馈会使听众变得迟钝。
Sci Rep. 2018 May 8;8(1):7283. doi: 10.1038/s41598-018-25518-1.
6
Repeated Measures Correlation.重复测量相关性
Front Psychol. 2017 Apr 7;8:456. doi: 10.3389/fpsyg.2017.00456. eCollection 2017.
7
Integer Ratio Priors on Musical Rhythm Revealed Cross-culturally by Iterated Reproduction.跨文化迭代再现揭示的音乐节奏整数比先验。
Curr Biol. 2017 Feb 6;27(3):359-370. doi: 10.1016/j.cub.2016.12.031. Epub 2017 Jan 5.
8
Short and long term representation of an unfamiliar tone distribution.陌生音调分布的短期和长期表征。
PeerJ. 2016 Aug 30;4:e2399. doi: 10.7717/peerj.2399. eCollection 2016.
9
Pitch-class distribution modulates the statistical learning of atonal chord sequences.音级分布调节无调性和弦序列的统计学习。
Brain Cogn. 2016 Oct;108:1-10. doi: 10.1016/j.bandc.2016.06.008. Epub 2016 Jul 16.
10
Under the hood of statistical learning: A statistical MMN reflects the magnitude of transitional probabilities in auditory sequences.统计学习的内在机制:统计性失匹配负波反映听觉序列中过渡概率的大小。
Sci Rep. 2016 Feb 2;6:19741. doi: 10.1038/srep19741.