Temporal Structure of Music Improves the Cortical Encoding of Speech

IF 3.5 2区 医学 Q1 NEUROIMAGING
Laura Fernández-Merino, Mikel Lizarazu, Nicola Molinaro, Marina Kalashnikova
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Abstract

Long- and short-term musical training has been proposed to improve the efficiency of cortical tracking of speech, which refers to the synchronization of brain oscillations and the acoustic temporal structure of external stimuli. Here, we study how musical sequences with different rhythm structures can guide the temporal dynamics of auditory oscillations synchronized with the speech envelope. For this purpose, we investigated the effects of prior exposure to rhythmically structured musical sequences on cortical tracking of speech in Basque–Spanish bilingual adults (Experiment 1; N = 33, 22 female, Mean age = 25 years). We presented participants with sentences in Basque and Spanish preceded by musical sequences that differed in their rhythmical structure. The rhythmical structure of the musical sequences was created to (1) reflect and match the syllabic structure of the sentences, (2) reflect a regular rhythm but not match the syllabic structure of the sentences, and (3) follow an irregular rhythm. Participants' brain responses were recorded using electroencephalography, and speech-brain coherence in the delta and theta bands was calculated. Results showed stronger speech-brain coherence in the delta band in the first condition, but only for Spanish stimuli. A follow-up experiment including a subset of the initial sample (Experiment 2; N = 20) was conducted to investigate whether language-specific stimuli properties influenced the Basque results. Similar to Experiment 1, we found stronger speech-brain coherence in the delta and theta bands when the sentences were preceded by musical sequences that matched their syllabic structure. These results suggest that not only the regularity in music is crucial for influencing cortical tracking of speech, but so is adjusting this regularity to optimally reflect the rhythmic characteristics of listeners' native language(s). Despite finding some language-specific differences across frequencies, we showed that rhythm, inherent in musical signals, guides the adaptation of brain oscillations, by adapting the temporal dynamics of the oscillatory activity to the rhythmic scaffolding of the musical signal.

Abstract Image

音乐的时间结构改善了语言的皮层编码
长期和短期的音乐训练已被提出用于提高大脑皮层语音跟踪的效率,这是指大脑振荡与外部刺激的声学时间结构的同步。在这里,我们研究了不同节奏结构的音乐序列如何引导与言语包络同步的听觉振荡的时间动态。为此,我们研究了事先接触有节奏结构的音乐序列对巴斯克-西班牙语双语成年人言语皮层跟踪的影响(实验1;N = 33,女性22例,平均年龄25岁)。我们向参与者展示了巴斯克语和西班牙语的句子,前面是节奏结构不同的音乐序列。音乐序列的节奏结构是为了(1)反映和匹配句子的音节结构,(2)反映规则的节奏但不匹配句子的音节结构,(3)遵循不规则的节奏。使用脑电图记录参与者的大脑反应,并计算delta和theta波段的语脑相干性。结果显示,在第一种情况下,三角洲带的语脑一致性更强,但仅限于西班牙语刺激。包括初始样本子集的后续实验(实验2;N = 20),以研究语言特异性刺激特性是否影响巴斯克结果。与实验1类似,我们发现当句子前面有与音节结构相匹配的音乐序列时,δ和θ波段的语脑一致性更强。这些结果表明,不仅音乐的规律性对影响大脑皮层对言语的追踪至关重要,而且调整这种规律性以最佳地反映听者母语的节奏特征也至关重要。尽管发现了不同频率的语言差异,但我们表明,音乐信号中固有的节奏,通过使振荡活动的时间动态适应音乐信号的节奏支架,指导大脑振荡的适应。
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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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