振荡器和诱发模型都能解释节拍频率上神经反应的节拍依赖性选择性增强

bioRxiv Pub Date : 2024-07-16 DOI:10.1101/2024.07.11.603023
Atser Damsma, Mitchell de Roo, Keith Doelling, Pierre-Louis Bazin, F. L. Bouwer
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引用次数: 0

摘要

神经振荡与外部规律(如音乐节拍)的同步一直被认为是大脑感知听觉环境的重要机制。这种同步通常被量化为神经振荡对刺激的相位锁定,但这种方法因没有区分夹带(正在进行的内源性振荡对外部规律的速率依赖性调整)和诱发神经对节奏刺激的反应而受到批评。在这里,我们通过测量脑电图对以五种不同速率播放的非等时节奏序列的反应,旨在区分这两种说法。在行为上,参与者会根据节奏的不同,将感知到的规律性水平向首选节拍率(∼2 Hz)偏移。我们在脑电图数据中也发现了类似的转变,对于慢节奏而言,神经相位锁定在音符速率的水平上最强,而对于快节奏而言,神经相位锁定在分层节拍的水平上最强,这与对声音的主动注意无关。虽然这种结果模式与节拍感知的夹带说法一致,而且确实可以用振荡器模型模拟,但用模拟诱发反应的模型同样可以很好地解释这种结果。脑电图数据的另一个相位浓度指标介于这两个模型的预测之间。总之,我们的研究表明,神经对节奏的反应会在节拍率上选择性地增强,而这种选择性的神经增强既可以通过连续的诱发反应来解释,也可以通过假设存在振荡夹带来解释。
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Tempo-dependent selective enhancement of neural responses at the beat frequency can be explained by both an oscillator and an evoked model
The synchronization of neural oscillations with an external regularity such as a musical beat has been regarded as an important mechanism for the brain to make sense of our auditory environment. Such synchronization is often quantified as phase locking of neural oscillations to a stimulus, but this method has been criticized for not differentiating between entrainment – the rate-dependent adjustment of an ongoing endogenous oscillation to an external regularity – and evoked neural responses to the rhythmic stimulus. Here, we aimed to differentiate between these two accounts by measuring EEG responses to non-isochronous rhythmic sequences played at five different rates. Behaviorally, participants shifted the perceived level of regularity depending on the tempo, towards the preferred beat rate (∼2 Hz). We found a similar shift in the EEG data, with strongest neural phase locking at the level of the note rate for slow tempi, and at the level of a hierarchical beat for faster tempi, independent of active attention to the sounds. While this pattern of results is in line with entrainment accounts of beat perception and could indeed be mimicked by an oscillator model, it was explained equally well using a model simulating evoked responses. An additional phase concentration metric of the EEG data fell in between the predictions of these two models. In conclusion, we show that neural responses to rhythm are selectively enhanced at the beat rate in a tempo-dependent manner, but that this selective neural enhancement can be explained by successive evoked responses as well as by assuming the presence of oscillatory entrainment.
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