Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany; Research Group Phonetics, Institute of German Linguistics, Philipps-University Marburg, Pilgrimstein 16, Marburg 35032, Germany; Center for Mind, Brain and Behavior, Universities of Marburg and Gießen, Germany.
Department of Language and Literature, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany; Department of Music, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany.
Neuroimage. 2022 Aug 15;257:119310. doi: 10.1016/j.neuroimage.2022.119310. Epub 2022 May 13.
The neural processing of speech and music is still a matter of debate. A long tradition that assumes shared processing capacities for the two domains contrasts with views that assume domain-specific processing. We here contribute to this topic by investigating, in a functional magnetic imaging (fMRI) study, ecologically valid stimuli that are identical in wording and differ only in that one group is typically spoken (or silently read), whereas the other is sung: poems and their respective musical settings. We focus on the melodic properties of spoken poems and their sung musical counterparts by looking at proportions of significant autocorrelations (PSA) based on pitch values extracted from their recordings. Following earlier studies, we assumed a bias of poem-processing towards the left and a bias for song-processing on the right hemisphere. Furthermore, PSA values of poems and songs were expected to explain variance in left- vs. right-temporal brain areas, while continuous liking ratings obtained in the scanner should modulate activity in the reward network. Overall, poem processing compared to song processing relied on left temporal regions, including the superior temporal gyrus, whereas song processing compared to poem processing recruited more right temporal areas, including Heschl's gyrus and the superior temporal gyrus. PSA values co-varied with activation in bilateral temporal regions for poems, and in right-dominant fronto-temporal regions for songs. Continuous liking ratings were correlated with activity in the default mode network for both poems and songs. The pattern of results suggests that the neural processing of poems and their musical settings is based on their melodic properties, supported by bilateral temporal auditory areas and an additional right fronto-temporal network known to be implicated in the processing of melodies in songs. These findings take a middle ground in providing evidence for specific processing circuits for speech and music in the left and right hemisphere, but simultaneously for shared processing of melodic aspects of both poems and their musical settings in the right temporal cortex. Thus, we demonstrate the neurobiological plausibility of assuming the importance of melodic properties in spoken and sung aesthetic language alike, along with the involvement of the default mode network in the aesthetic appreciation of these properties.
言语和音乐的神经处理仍然是一个争论的话题。一个长期的传统假设这两个领域共享处理能力,而另一些观点则假设特定领域的处理。我们通过在功能磁共振成像(fMRI)研究中调查在措辞上相同但在一个组通常是口语(或默读)而另一个是歌唱的生态有效刺激物,为这个话题做出了贡献:诗歌及其各自的音乐设置。我们通过观察从录音中提取的音高值的显著自相关(PSA)比例,关注口语诗歌及其歌唱音乐对应物的旋律属性。根据之前的研究,我们假设诗歌处理偏向于左侧,而歌曲处理偏向于右侧半球。此外,诗歌和歌曲的 PSA 值预计将解释左-右颞叶脑区的方差,而在扫描仪中获得的连续喜好评分应调节奖励网络的活动。总体而言,与歌曲处理相比,诗歌处理依赖于包括颞上回在内的左侧颞区,而与诗歌处理相比,歌曲处理则招募了更多的右侧颞区,包括赫氏回和颞上回。PSA 值与诗歌双侧颞区的激活相关,与歌曲右优势额颞区的激活相关。连续喜好评分与诗歌和歌曲的默认模式网络的活动相关。结果表明,诗歌及其音乐设置的神经处理基于其旋律属性,由双侧颞区听觉区和已知涉及歌曲旋律处理的额外右额颞网络支持。这些发现提供了言语和音乐在左、右半球特定处理回路的证据,同时也提供了诗歌及其音乐设置的旋律方面在右侧颞叶共同处理的证据。因此,我们证明了在口语和歌唱审美语言中都假设旋律属性的重要性以及默认模式网络在这些属性的审美欣赏中的参与的神经生物学合理性。