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神经同步与慢音乐的频谱通量最强,并且依赖于熟悉度和节拍显著性。

Neural synchronization is strongest to the spectral flux of slow music and depends on familiarity and beat salience.

机构信息

Research Group "Neural and Environmental Rhythms", Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany.

Goethe University Frankfurt, Institute for Cell Biology and Neuroscience, Frankfurt am Main, Germany.

出版信息

Elife. 2022 Sep 12;11:e75515. doi: 10.7554/eLife.75515.

Abstract

Neural activity in the auditory system synchronizes to sound rhythms, and brain-environment synchronization is thought to be fundamental to successful auditory perception. Sound rhythms are often operationalized in terms of the sound's amplitude envelope. We hypothesized that - especially for music - the envelope might not best capture the complex spectro-temporal fluctuations that give rise to beat perception and synchronized neural activity. This study investigated (1) neural synchronization to different musical features, (2) tempo-dependence of neural synchronization, and (3) dependence of synchronization on familiarity, enjoyment, and ease of beat perception. In this electroencephalography study, 37 human participants listened to tempo-modulated music (1-4 Hz). Independent of whether the analysis approach was based on temporal response functions (TRFs) or reliable components analysis (RCA), the spectral flux of music - as opposed to the amplitude envelope - evoked strongest neural synchronization. Moreover, music with slower beat rates, high familiarity, and easy-to-perceive beats elicited the strongest neural response. Our results demonstrate the importance of spectro-temporal fluctuations in music for driving neural synchronization, and highlight its sensitivity to musical tempo, familiarity, and beat salience.

摘要

听觉系统中的神经活动与声音节奏同步,人们认为大脑-环境同步是成功听觉感知的基础。声音节奏通常是根据声音的幅度包络来操作的。我们假设,特别是对于音乐来说,包络可能无法最好地捕捉到产生节拍感知和同步神经活动的复杂频谱-时变波动。本研究调查了(1)不同音乐特征的神经同步,(2)神经同步的 tempo 依赖性,以及(3)同步对熟悉度、享受度和节拍感知容易度的依赖性。在这项脑电图研究中,37 名人类参与者聆听了 tempo 调制的音乐(1-4 Hz)。无论分析方法是基于时间响应函数(TRF)还是可靠成分分析(RCA),音乐的频谱通量——而不是幅度包络——引起了最强的神经同步。此外,具有较慢节拍率、高熟悉度和易于感知节拍的音乐引起了最强的神经反应。我们的结果表明,音乐中频谱-时变波动对于驱动神经同步非常重要,并强调了其对音乐 tempo、熟悉度和节拍突出性的敏感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f174/9467512/1a31abb60e52/elife-75515-fig3-figsupp2.jpg

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