4.7 Article

Human Sensorimotor Cortex Control of Directly Measured Vocal Tract Movements during Vowel Production

期刊

JOURNAL OF NEUROSCIENCE
卷 38, 期 12, 页码 2955-2966

出版社

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.2382-17.2018

关键词

electrocorticography; sensorimotor cortex; speech motor control; speech production; vowels

资金

  1. National Institutes of Health [U01 NS098971, F32-DC013486]
  2. New York Stem Cell Foundation
  3. Howard Hughes Medical Institute
  4. McKnight Foundation
  5. Shurl and Kay Curci Foundation
  6. William K. Bowes Foundation
  7. Laboratory Directed Research and Development - Berkeley laboratory [DE-AC02-05CH11231]
  8. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [U01NS098971] Funding Source: NIH RePORTER
  9. NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS [F32DC013486] Funding Source: NIH RePORTER

向作者/读者索取更多资源

During speech production, we make vocal tract movements with remarkable precision and speed. Our understanding of how the human brain achieves such proficient control is limited, in part due to the challenge of simultaneously acquiring high-resolution neural recordings and detailed vocal tract measurements. To overcome this challenge, we combined ultrasound and video monitoring of the supralaryngeal articulators (lips, jaw, and tongue) with electrocorticographic recordings from the cortical surface of 4 subjects (3 female, 1 male) to investigate how neural activity in the ventral sensory-motor cortex (vSMC) relates to measured articulator movement kinematics (position, speed, velocity, acceleration) during the production of English vowels. We found that high-gamma activity at many individual vSMC electrodes strongly encoded the kinematics of one or more articulators, but less so for vowel formants and vowel identity. Neural population decoding methods further revealed the structure of kinematic features that distinguish vowels. Encoding of articulator kinematics was sparsely distributed across time and primarily occurred during the time of vowel onset and offset. In contrast, encoding was low during the steady-state portion of the vowel, despite sustained neural activity at some electrodes. Significant representations were found for all kinematic parameters, but speed was the most robust. These findings enabled by direct vocal tract monitoring demonstrate novel insights into the representation of articulatory kinematic parameters encoded in the vSMC during speech production.

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