Department of Neural Dynamics and Magnetoencephalography, Hertie Institute for Clinical Brain Research, University of Tübingen, 72076 Tübingen, Germany.
Centre for Integrative Neuroscience, University of Tübingen, 72076 Tübingen, Germany.
Proc Natl Acad Sci U S A. 2023 Jun 6;120(23):e2219310120. doi: 10.1073/pnas.2219310120. Epub 2023 May 30.
Speech, as the spoken form of language, is fundamental for human communication. The phenomenon of covert inner speech implies functional independence of speech content and motor production. However, it remains unclear how a flexible mapping between speech content and production is achieved on the neural level. To address this, we recorded magnetoencephalography in humans performing a rule-based vocalization task. On each trial, vocalization content (one of two vowels) and production form (overt or covert) were instructed independently. Using multivariate pattern analysis, we found robust neural information about vocalization content and production, mostly originating from speech areas of the left hemisphere. Production signals dynamically transformed upon presentation of the content cue, whereas content signals remained largely stable throughout the trial. In sum, our results show dissociable neural representations of vocalization content and production in the human brain and provide insights into the neural dynamics underlying human vocalization.
言语作为语言的口语形式，是人类交流的基础。内隐口语现象暗示了言语内容和运动产生的功能独立性。然而，在神经水平上，言语内容和产生之间如何实现灵活的映射仍不清楚。为了解决这个问题，我们在人类中记录了脑磁图，以执行基于规则的发声任务。在每次试验中，发声内容（两个元音之一）和产生形式（外显或内隐）独立指示。使用多变量模式分析，我们发现了关于发声内容和产生的强大的神经信息，这些信息主要来源于左半球的言语区。在呈现内容提示时，产生信号会动态转换，而内容信号在整个试验中基本保持稳定。总之，我们的结果表明，在人类大脑中存在发声内容和产生的可分离神经表示，并为人类发声的神经动力学提供了见解。
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