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Decoding Temporal Structure in Music and Speech Relies on Shared Brain Resources but Elicits Different Fine-Scale Spatial Patterns

机译:音乐和语音中的时间结构解码依赖于共享的大脑资源但会引起不同的精细尺度空间模式

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摘要

Music and speech are complex sound streams with hierarchical rules of temporal organization that become elaborated over time. Here, we use functional magnetic resonance imaging to measure brain activity patterns in 20 right-handed nonmusicians as they listened to natural and temporally reordered musical and speech stimuli matched for familiarity, emotion, and valence. Heart rate variability and mean respiration rates were simultaneously measured and were found not to differ between musical and speech stimuli. Although the same manipulation of temporal structure elicited brain activation level differences of similar magnitude for both music and speech stimuli, multivariate classification analysis revealed distinct spatial patterns of brain responses in the 2 domains. Distributed neuronal populations that included the inferior frontal cortex, the posterior and anterior superior and middle temporal gyri, and the auditory brainstem classified temporal structure manipulations in music and speech with significant levels of accuracy. While agreeing with previous findings that music and speech processing share neural substrates, this work shows that temporal structure in the 2 domains is encoded differently, highlighting a fundamental dissimilarity in how the same neural resources are deployed.
机译:音乐和语音是复杂的声音流,具有随时间而变的时间组织的分层规则。在这里,我们使用功能磁共振成像来测量20位惯用右手的非音乐家的大脑活动模式,因为他们聆听了自然和时间重新排列的音乐和语音刺激,以适应熟悉度,情感和效价。同时测量了心率变异性和平均呼吸频率,发现在音乐和语音刺激之间没有差异。尽管对时间结构的相同操作会引起音乐和语音刺激的大脑激活水平差异相似,但多变量分类分析显示了这两个域中大脑反应的不同空间模式。分布的神经元群体包括下额叶皮层,前后颞上和中颞回以及听觉脑干,对音乐和语音中的时态结构操作进行了分类,具有很高的准确性。在同意音乐和语音处理共享神经底物的先前发现的同时,这项工作表明2个域中的时间结构编码不同,突出说明了在部署相同神经资源方面的根本差异。

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