Neural control of lexical tone production in human laryngeal motor cortex

Junfeng Lu, Yuanning Li, Zehao Zhao, Yan Liu, Yanming Zhu, Ying Mao (), Jinsong Wu () and Edward F. Chang ()
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Junfeng Lu: Fudan University
Yuanning Li: ShanghaiTech University
Zehao Zhao: Fudan University
Yan Liu: Fudan University
Yanming Zhu: Fudan University
Ying Mao: Fudan University
Jinsong Wu: Fudan University
Edward F. Chang: University of California

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract In tonal languages, which are spoken by nearly one-third of the world’s population, speakers precisely control the tension of vocal folds in the larynx to modulate pitch in order to distinguish words with completely different meanings. The specific pitch trajectories for a given tonal language are called lexical tones. Here, we used high-density direct cortical recordings to determine the neural basis of lexical tone production in native Mandarin-speaking participants. We found that instead of a tone category-selective coding, local populations in the bilateral laryngeal motor cortex (LMC) encode articulatory kinematic information to generate the pitch dynamics of lexical tones. Using a computational model of tone production, we discovered two distinct patterns of population activity in LMC commanding pitch rising and lowering. Finally, we showed that direct electrocortical stimulation of different local populations in LMC evoked pitch rising and lowering during tone production, respectively. Together, these results reveal the neural basis of vocal pitch control of lexical tones in tonal languages.

Date: 2023
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DOI: 10.1038/s41467-023-42175-9

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