从神经活动到行为参与:音乐期间的时间动态是他们的“共同货币”

IF 4.7 2区 医学 Q1 NEUROIMAGING
Noah Chuipka , Tom Smy , Georg Northoff
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引用次数: 0

摘要

人类的大脑皮层是高度动态的,这体现在它巨大的持续的时间储备中。同样,人类的行为也会随着时间的变化而变化,比如反应时间的波动。然而,大脑的持续动态与情绪等行为的波动动态之间的关系尚不清楚。本文采用动态方法(D-MF)测量中位数频率(MF),以研究受试者在听五首不同音乐时的脑电图(EEG)神经活动和连续行为评估中感知到的情绪投入变化的动态。我们的主要发现是:(i)五首音乐作品之间受试者行为投入评级的频率动态(例如D-MF)存在显著差异;(ii)音乐作品基于脑电图的神经活动(例如D-MF)存在显著差异;(iii)通过各自D-MF之间的相关性和格兰杰因果关系测量,五首音乐作品之间存在从神经到行为的单向关系。总之,我们证明了神经动力学与行为动力学通过其动力学的共同波动相关联。这突出了动力学在连接神经和行为活动作为“共同货币”方面的关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From neural activity to behavioral engagement: temporal dynamics as their “common currency” during music
The human cortex is highly dynamic as manifest in its vast ongoing temporal repertoire. Similarly, human behavior is also variable over time with, for instance, fluctuating response times. How the brain's ongoing dynamics relates to the fluctuating dynamics of behavior such as emotions remains yet unclear, though. We measure median frequency (MF) in a dynamic way (D-MF) to investigate the dynamics in both electroencephalography (EEG) neural activity and the subjects’ continuous behavioral assessment of their perceived emotional engagement changes during five different music pieces. Our main findings are: (i) significant differences in the frequency dynamics, e.g., D-MF, of the subjects’ behavioral engagement ratings between the five music pieces, (ii) significant differences in the, e.g., D-MF, of the music pieces’ EEG-based neural activity, and (iii) there is a unidirectional relationship from neural to behavioral during the five music pieces as measured through correlation and Granger causality between their respective D-MF's. Together, we demonstrate that neural dynamics relates to behavioral dynamics through the shared fluctuations in their dynamics. This highlights the key role of dynamics in connecting neural and behavioral activity as their “common currency.”
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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