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Dataset Information

Cortical Encoding of Manual Articulatory and Linguistic Features in American Sign Language.


ABSTRACT: The fluent production of a signed language requires exquisite coordination of sensory, motor, and cognitive processes. Similar to speech production, language produced with the hands by fluent signers appears effortless but reflects the precise coordination of both large-scale and local cortical networks. The organization and representational structure of sensorimotor features underlying sign language phonology in these networks remains unknown. Here, we present a unique case study of high-density electrocorticography (ECoG) recordings from the cortical surface of profoundly deaf signer during awake craniotomy. While neural activity was recorded from sensorimotor cortex, the participant produced a large variety of movements in linguistic and transitional movement contexts. We found that at

SUBMITTER: Leonard MK 

PROVIDER: S-EPMC7674262 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature