ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
Human Sensorimotor Cortex Control of Directly Measured Vocal Tract Movements during Vowel Production.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 62 citations in OpenAlex.
- Virtual Reality (VR) Paradigm-Agnostic Motor Imagery Decoding Using Lightweight Network With Adaptive Attention Mechanism.Journal of medical systems · 2025Article
- Sensorimotor Theta Oscillations Coordinate Speech Movements.bioRxiv : the preprint server for biology · 2025Article
- Acoustic Inspired Brain-to-Sentence Decoder for Logosyllabic Language.Cyborg and bionic systems (Washington, D.C.) · 2025Article
- Functional Roles of Sensorimotor Alpha and Beta Oscillations in Overt Speech Production.bioRxiv : the preprint server for biology · 2024Article
- Decoding kinematic information from beta-band motor rhythms of speech motor cortex: a methodological/analytic approach using concurrent speech movement tracking and magnetoencephalography.Frontiers in human neuroscience · 2024Article
- High-resolution neural recordings improve the accuracy of speech decoding.Nature communications · 2023Article
- Frontal cortex activity during the production of diverse social communication calls in marmoset monkeys.Nature communications · 2023Article
- Lateralization and Time-Course of Cortical Phonological Representations during Syllable Production.eNeuro · 2023Article
- Decoding and synthesizing tonal language speech from brain activity.Science advances · 2023Article
- Neural representations of the content and production of human vocalization.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Robust cortical encoding of 3D tongue shape during feeding in macaques.Nature communications · 2023Article
- Overt speech decoding from cortical activity: a comparison of different linear methods.Frontiers in human neuroscience · 2023Article
- Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis.Nature communications · 2022Article
- Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022Review
- Differentiation of speech-induced artifacts from physiological high gamma activity in intracranial recordings.NeuroImage · 2022Article
- Recruitment and Differential Firing Patterns of Single Units During Conditioning to a Tone in a Mute Locked-In Human.Frontiers in human neuroscience · 2022Article
- Machine translation of cortical activity to text with an encoder-decoder framework.Nature neuroscience · 2020Article
- Learning Long Temporal Sequences in Spiking Networks by Multiplexing Neural Oscillations.Frontiers in computational neuroscience · 2020Article
- Article
- High-frequency band temporal dynamics in response to a grasp force task.Journal of neural engineering · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.