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Neural representation of vowel formants in tonotopic auditory cortex

机译:音色听觉皮质中元素素的神经表示

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Speech sounds are encoded by distributed patterns of activity in bilateral superior temporal cortex. However, it is unclear whether speech sounds are topographically represented in cortex, or which acoustic or phonetic dimensions might be spatially mapped. Here, using functional MRI, we investigated the potential spatial representation of vowels, which are largely distinguished from one another by the frequencies of their first and second formants, i.e. peaks in their frequency spectra. This allowed us to generate clear hypotheses about the representation of specific vowels in tonotopic regions of auditory cortex. We scanned participants as they listened to multiple natural tokens of the vowels [a] and [i], which we selected because their first and second formants overlap minimally. Formant-based regions of interest were defined for each vowel based on spectral analysis of the vowel stimuli and independently acquired tonotopic maps for each participant. We found that perception of [a] and [i] yielded differential activation of tonotopic regions corresponding to formants of [a] and [i], such that each vowel was associated with increased signal in tonotopic regions corresponding to its own formants. This pattern was observed in Heschl's gyrus and the superior temporal gyrus, in both hemispheres, and for both the first and second formants. Using linear discriminant analysis of mean signal change in formant-based regions of interest, the identity of untrained vowels was predicted with similar to 73% accuracy. Our findings show that cortical encoding of vowels is scaffolded on tonotopy, a fundamental organizing principle of auditory cortex that is not language-specific.
机译:语音声音是由双边优越的时间皮层中的分布式活动模式编码的。然而,目前尚不清楚语音声音是否在皮质中地拓扑地表示,或者可以在空间映射到哪些声学或语音尺寸。这里,使用功能性MRI,我们研究了元音的潜在空间表示,其在很大程度上通过其第一和第二铅的频率彼此区分,即它们的频谱中的峰值。这使我们能够在听觉皮层的迂回区域的特定元音的表现中产生明确的假设。我们扫描了参与者,因为他们听到了多个自然代币[a]和[i],我们选择的是,因为他们的第一和第二葡萄酒夹尽可能重叠。根据元音刺激的光谱分析,为每个元音定义基于格式的兴趣区域,并为每个参与者独立获取了每个参与者的调节映射。我们发现[a]和[i]的感知产生了对应于[a]和[i]的中性剂的调节区的差异激活,使得每个元音与对应于其自身的印度人的迂回区域中的信号增加相关。在HESCHL的回到半球中,在HESCHL的转座和上部颞克鲁斯,以及第一和第二种中,观察到这种模式。利用基于格式的兴趣区的平均信号变化的线性判别分析,预测未训练元音的身份,精度类似于73%。我们的研究结果表明,元音的皮质编码是在调整的脚手架上,这是一种根本的组织原则,听觉皮层是特定于语言的。

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