ArticleScientific reports2019
Classification of Articulator Movements and Movement Direction from Sensorimotor Cortex Activity.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 25 citations in OpenAlex.
- Optimal Size of Electrocorticography Grids for Classification of Hand Movements.Neuroinformatics · 2026Article
- Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation.Nature biomedical engineering · 2026Article
- Implications of shared motor and perceptual activations on the sensorimotor cortex for neuroprosthetic decoding.Journal of neural engineering · 2025Article
- The speech neuroprosthesis.Nature reviews. Neuroscience · 2024Review
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- Methodological Recommendations for Studies on the Daily Life Implementation of Implantable Communication-Brain-Computer Interfaces for Individuals With Locked-in Syndrome.Neurorehabilitation and neural repair · 2022Article
- Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.Journal of the Association for Research in Otolaryngology : JARO · 2022Review
- Decoding four hand gestures with a single bipolar pair of electrocorticography electrodes.Journal of neural engineering · 2021Article
- Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria.The New England journal of medicine · 2021Article
- Functional MRI based simulations of ECoG grid configurations for optimal measurement of spatially distributed hand-gesture information.Journal of neural engineering · 2021Article
- High-density intracranial recordings reveal a distinct site in anterior dorsal precentral cortex that tracks perceived speech.Human brain mapping · 2020Article
- Classification of Facial Expressions for Intended Display of Emotions Using Brain-Computer Interfaces.Annals of neurology · 2020Article
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Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
For people suffering from severe paralysis, communication can be difficult or nearly impossible. Technology systems called brain-computer interfaces (BCIs) are being developed to assist these people with communication by using their brain activity to control a computer without any muscle activity. To benefit the development of BCIs that employ neural activity related to speech, we investigated if neural activity patterns related to different articulator movements can be distinguished from each other. We recorded with electrocorticography (ECoG), the neural activity related to different articulator movements in 4 epilepsy patients and classified which articulator participants moved based on the sensorimotor cortex activity patterns. The same was done for different movement directions of a single articulator, the tongue. In both experiments highly accurate classification was obtained, on average 92% for different articulators and 85% for different tongue directions. Furthermore, the data show that only a small part of the sensorimotor cortex is needed for classification (ca. 1 cm
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