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Formant Space Reconstruction From Brain Activity in Frontal and Temporal Regions Coding for Heard Vowels

机译:大脑和额颞区脑活动编码共振峰的共振峰空间重构。

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摘要

Classical studies have isolated a distributed network of temporal and frontal areas engaged in the neural representation of speech perception and production. With modern literature arguing against unique roles for these cortical regions, different theories have favored either neural code-sharing or cortical space-sharing, thus trying to explain the intertwined spatial and functional organization of motor and acoustic components across the fronto-temporal cortical network. In this context, the focus of attention has recently shifted toward specific model fitting, aimed at motor and/or acoustic space reconstruction in brain activity within the language network. Here, we tested a model based on acoustic properties (formants), and one based on motor properties (articulation parameters), where model-free decoding of evoked fMRI activity during perception, imagery, and production of vowels had been successful. Results revealed that phonological information organizes around formant structure during the perception of vowels; interestingly, such a model was reconstructed in a broad temporal region, outside of the primary auditory cortex, but also in the pars triangularis of the left inferior frontal gyrus. Conversely, articulatory features were not associated with brain activity in these regions. Overall, our results call for a degree of interdependence based on acoustic information, between the frontal and temporal ends of the language network.
机译:古典研究已经隔离了涉及语音感知和产生的神经表示的颞叶和额叶区域的分布式网络。随着现代文献对这些皮层区域的独特作用的争论,不同的理论偏向于神经代码共享或皮层空间共享,因此试图解释额颞皮层网络中运动和声学成分的相互交织的空间和功能组织。在这种情况下,关注的焦点最近已转向特定的模型拟合,旨在针对语言网络内大脑活动中的运动和/或声学空间重建。在这里,我们测试了一种基于声学特性(共振峰)的模型和一种基于运动特性(发音参数)的模型,其中在感知,图像和元音生成过程中对诱发的fMRI活动的无模型解码已获得成功。结果表明,在元音感知过程中,语音信息围绕共振峰结构进行组织。有趣的是,这种模型是在初级听觉皮层以外的宽阔时间区域内重建的,但也在左下额回的三角肌中也得到了重建。相反,这些区域的关节活动特征与大脑活动无关。总体而言,我们的结果要求在语言网络的前端和时间端之间基于声学信息建立一定程度的相互依赖性。

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