ArticleNeuron2022
Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human.
Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 44 citations in OpenAlex.
- Distinct Neural Modes Carry Information About Attempted Grasp Timing and Force in the Sensorimotor Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Targeting grasp-related cortical areas for intracortical brain-machine interfaces.Neuroimage. Reports · 2026Article
- Article
- Optimal location for gesture decoding in the sensorimotor cortex and implications for brain-computer interface research.NeuroImage · 2026Article
- sEEG-based brain-computer interfacing in a large adult and pediatric cohort.Journal of neural engineering · 2025Article
- Decoding multi-joint hand movements from brain signals by learning a synergy-based neural manifold.Patterns (New York, N.Y.) · 2025Article
- Gesture encoding in human left precentral gyrus neuronal ensembles.Communications biology · 2025Article
- Multi-gesture drag-and-drop decoding in a 2D iBCI control task.Journal of neural engineering · 2025Article
- Neuronal responses in the human primary motor cortex coincide with the subjective onset of movement intention in brain-machine interface-mediated actions.PLoS biology · 2025Article
- Invasive Brain-Computer Interface for Communication: A Scoping Review.Brain sciences · 2025Review
- Decoding speech intent from non-frontal cortical areas.Journal of neural engineering · 2025Article
- Neural signal analysis in chronic stroke: advancing intracortical brain-computer interface design.Frontiers in human neuroscience · 2025Article
- A direct spinal cord-computer interface enables the control of the paralysed hand in spinal cord injury.Brain : a journal of neurology · 2024Article
- A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages.Nature biomedical engineering · 2024Article
- Transcranial focused ultrasound to V5 enhances human visual motion brain-computer interface by modulating feature-based attention.Nature communications · 2024Article
- Brain-machine-interface device translates internal speech into text.Nature human behaviour · 2024Article
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- Decoding executed and imagined grasping movements from distributed non-motor brain areas using a Riemannian decoder.Frontiers in neuroscience · 2023Article
- Dataset of Speech Production in intracranial.Electroencephalography.Scientific data · 2022Article
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7 authors at 1 institution in 1 country.
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Abstract
The cortical grasp network encodes planning and execution of grasps and processes spoken and written aspects of language. High-level cortical areas within this network are attractive implant sites for brain-machine interfaces (BMIs). While a tetraplegic patient performed grasp motor imagery and vocalized speech, neural activity was recorded from the supramarginal gyrus (SMG), ventral premotor cortex (PMv), and somatosensory cortex (S1). In SMG and PMv, five imagined grasps were well represented by firing rates of neuronal populations during visual cue presentation. During motor imagery, these grasps were significantly decodable from all brain areas. During speech production, SMG encoded both spoken grasp types and the names of five colors. Whereas PMv neurons significantly modulated their activity during grasping, SMG's neural population broadly encoded features of both motor imagery and speech. Together, these results indicate that brain signals from high-level areas of the human cortex could be used for grasping and speech BMI applications.
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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.