Suppr超能文献

高阶脑区和听觉皮层均对音乐的高层事件结构进行表征。

High-Order Areas and Auditory Cortex Both Represent the High-Level Event Structure of Music.

机构信息

Princeton University.

Johns Hopkins University.

出版信息

J Cogn Neurosci. 2022 Mar 5;34(4):699-714. doi: 10.1162/jocn_a_01815.

Abstract

Recent fMRI studies of event segmentation have found that default mode regions represent high-level event structure during movie watching. In these regions, neural patterns are relatively stable during events and shift at event boundaries. Music, like narratives, contains hierarchical event structure (e.g., sections are composed of phrases). Here, we tested the hypothesis that brain activity patterns in default mode regions reflect the high-level event structure of music. We used fMRI to record brain activity from 25 participants (male and female) as they listened to a continuous playlist of 16 musical excerpts and additionally collected annotations for these excerpts by asking a separate group of participants to mark when meaningful changes occurred in each one. We then identified temporal boundaries between stable patterns of brain activity using a hidden Markov model and compared the location of the model boundaries to the location of the human annotations. We identified multiple brain regions with significant matches to the observer-identified boundaries, including auditory cortex, medial prefrontal cortex, parietal cortex, and angular gyrus. From these results, we conclude that both higher-order and sensory areas contain information relating to the high-level event structure of music. Moreover, the higher-order areas in this study overlap with areas found in previous studies of event perception in movies and audio narratives, including regions in the default mode network.

摘要

最近的事件分割 fMRI 研究发现,默认模式区域在观看电影时代表高级别的事件结构。在这些区域中,神经模式在事件期间相对稳定,而在事件边界处发生变化。音乐和叙述一样,包含层次化的事件结构(例如,乐段由乐句组成)。在这里,我们测试了默认模式区域的大脑活动模式反映音乐高级别事件结构的假设。我们使用 fMRI 记录了 25 名参与者(男性和女性)在连续播放 16 段音乐摘录时的大脑活动,并让另一组参与者标记每个摘录中何时发生有意义的变化,从而收集了这些摘录的注释。然后,我们使用隐马尔可夫模型识别稳定的大脑活动模式之间的时间边界,并将模型边界的位置与人类注释的位置进行比较。我们确定了多个与观察者识别的边界有显著匹配的大脑区域,包括听觉皮层、内侧前额叶皮层、顶叶皮层和角回。根据这些结果,我们得出结论,高级别和感觉区域都包含与音乐高级别事件结构相关的信息。此外,本研究中的高级别区域与电影和音频叙述事件感知的先前研究中的区域重叠,包括默认模式网络中的区域。

相似文献

4
Neural networks for harmonic structure in music perception and action.用于音乐感知与行动中和声结构的神经网络。
Neuroimage. 2016 Nov 15;142:454-464. doi: 10.1016/j.neuroimage.2016.08.025. Epub 2016 Aug 16.

引用本文的文献

本文引用的文献

2
BrainIAK: The Brain Imaging Analysis Kit.BrainIAK:脑成像分析工具包。
Apert Neuro. 2021;1(4). doi: 10.52294/31bb5b68-2184-411b-8c00-a1dacb61e1da. Epub 2022 Feb 16.
7
Detecting neural state transitions underlying event segmentation.检测事件分割的神经状态转变。
Neuroimage. 2021 Aug 1;236:118085. doi: 10.1016/j.neuroimage.2021.118085. Epub 2021 Apr 18.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验