Observational studyCurrent biology : CB2020
Cortical Encoding of Manual Articulatory and Linguistic Features in American Sign Language.
Observational study in Current biology : CB, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An update on tests used for intraoperative monitoring of cognition during awake craniotomy.Acta neurochirurgica · 2024Pooled it
- Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Ten things you should know about sign languages.Current directions in psychological science · 2023Article
- Flexible regulation of representations on a drifting manifold enables long-term stable complex neuroprosthetic control.bioRxiv : the preprint server for biology · 2023Article
- Fingerspelling and Its Role in Translanguaging.Languages (Basel, Switzerland) · 2022Article
- Cross-modal and cross-language activation in bilinguals reveals lexical competition even when words or signs are unheard or unseen.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- New Perspectives on the Neurobiology of Sign Languages.Frontiers in communication · 2021Article
- Decoding four hand gestures with a single bipolar pair of electrocorticography electrodes.Journal of neural engineering · 2021Article
- Sign Language: How the Brain Represents Phonology without Sound.Current biology : CB · 2020Article
- The Neural Network for Sign Language Comprehension.Language and linguistics compassArticle
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Authors and funding
5 authors.
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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 both single electrode and neural population levels, high-gamma activity reflected tuning for particular hand, arm, and face movements, which were organized along dimensions that are relevant for phonology in sign language. Decoding of manual articulatory features revealed a clear functional organization and population dynamics for these highly practiced movements. Furthermore, neural activity clearly differentiated linguistic and transitional movements, demonstrating encoding of language-relevant articulatory features. These results provide a novel and unique view of the fine-scale dynamics of complex and meaningful sensorimotor actions.
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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.