自然音乐聆听过程中低水平和高水平音乐声学特征的神经振荡跟踪:来自颅内脑电图研究的见解。

IF 0.6 0 MUSIC Psychomusicology Pub Date : 2020-03-01 DOI:10.1037/pmu0000249
D. Omigie, K. Lehongre, V. Navarro, C. Adam, S. Samson
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引用次数: 6

摘要

研究音乐声学特征的神经处理倾向于使用高度控制的音乐刺激。然而,越来越多的人认为,不使用自然刺激限制了实验室研究结果可以外推到丰富多样的现实世界经验的程度。在这里,我们记录了8例癫痫患者的脑电活动,这些患者术前植入立体脑电图(SEEG)进行评估,同时他们听了西方调性音乐曲目。我们使用一个自动提取音乐声学特征的工具箱来估计刺激的声强、键和脉冲清晰度。然后,我们使用部分相关分析来检查与这些特征处理相关的神经振荡活动模式。我们的研究结果显示,在颞上后回的高伽马和α频段上,声音强度被清晰地跟踪,分别反映了神经放电和听觉信息从丘脑向听觉皮层的传递。部分相关的模式,与我们的假设一致,也表明边缘和额叶下皮层跟踪音调和节奏的不确定性,尽管没有听觉区域的声音强度跟踪显示的稳健性。该研究为现有文献提供了重要的贡献,因为它坚持呼吁在音乐聆听的神经科学研究中更多地使用生态有效的刺激。具体而言,我们的研究结果对音乐不确定性的神经处理研究以及未来寻求使用颅内脑电图检查自然音乐处理的研究具有重要意义。
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Neuro-oscillatory tracking of low- and high-level musico-acoustic features during naturalistic music listening: Insights from an intracranial electroencephalography study.
Studies investigating the neural processing of musico-acoustic features have tended to do so using highly controlled musical stimuli. However, it is increasingly argued that failing to use naturalistic stimuli limits the extent to which findings from lab studies can be extrapolated to rich and varied real-world experiences. Here, we recorded electrical brain activity from 8 epileptic patients, implanted for pre-surgical evaluation with Stereo-encephalography (SEEG), while they listened to pieces from the western tonal music repertoire. We estimated the sound intensity and key and pulse clarity of the stimuli using a toolbox for automatic extraction of musico-acoustic features. We then used partial-correlation analyses to examine the patterns of neuro-oscillatory activity associated with the processing of these features. Our results showed clear tracking of sound intensity in high-gamma and alpha frequency bands in posterior superior temporal gyrus, reflecting neural firing and the transfer of auditory information from the thalamus to auditory cortices, respectively. Patterns of partial correlations, in line with our hypotheses, also suggested limbic and inferior frontal cortical tracking of tonal and rhythmic uncertainty, albeit without the robustness shown for sound intensity tracking in auditory areas. The study provides an important contribution to the existing literature in its adherence to the call for a greater use of ecologically valid stimuli in neuroscientific investigations of music listening. Our results, specifically, have implications for research on the neural processing of musical uncertainty and for future studies seeking to use intracranial EEG to examine naturalistic music processing.
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Psychomusicology
Psychomusicology Multiple-
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