ArticleJournal of neural engineering2010
Decoding spoken words using local field potentials recorded from the cortical surface.
Article in Journal of neural engineering, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 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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Who cites it
105 citing papers in PubMed, 1 synthesis or guideline pooled it, 244 citations in OpenAlex.
- Toward the Clinical Translation of Implantable Brain-Computer Interfaces for Motor Impairment: Research Trends and Outcome Measures.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Pooled it
- Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task.PloS one · 2016Trial
- Shared latent representations of speech production for cross-patient speech decoding.Nature communications · 2026Article
- Brain-aligning of semantic vectors improves neural decoding of visual stimuli.Communications biology · 2026Article
- Progress, challenges and future of linguistic neural decoding with deep learning.Communications biology · 2025Review
- Beta-band desynchronization in the human hippocampus during movement preparation in a delayed reach task.Experimental brain research · 2025Article
- Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents.Journal of visualized experiments : JoVE · 2025Article
- An Accurate and Rapidly Calibrating Speech Neuroprosthesis.The New England journal of medicine · 2024Article
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.Scientific reports · 2024Article
- An accurate and rapidly calibrating speech neuroprosthesis.medRxiv : the preprint server for health sciences · 2024Article
- Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states.Frontiers in human neuroscience · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- High-resolution neural recordings improve the accuracy of speech decoding.Nature communications · 2023Article
- Lateralization and Time-Course of Cortical Phonological Representations during Syllable Production.eNeuro · 2023Article
- Direct speech reconstruction from sensorimotor brain activity with optimized deep learning models.Journal of neural engineering · 2023Article
- A high-performance speech neuroprosthesis.Nature · 2023Article
- Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS.medRxiv : the preprint server for health sciences · 2023Article
- Towards clinical application of implantable brain-computer interfaces for people with late-stage ALS: medical and ethical considerations.Journal of neurology · 2023Review
- Overt speech decoding from cortical activity: a comparison of different linear methods.Frontiers in human neuroscience · 2023Article
45 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Pathological conditions such as amyotrophic lateral sclerosis or damage to the brainstem can leave patients severely paralyzed but fully aware, in a condition known as 'locked-in syndrome'. Communication in this state is often reduced to selecting individual letters or words by arduous residual movements. More intuitive and rapid communication may be restored by directly interfacing with language areas of the cerebral cortex. We used a grid of closely spaced, nonpenetrating micro-electrodes to record local field potentials (LFPs) from the surface of face motor cortex and Wernicke's area. From these LFPs we were successful in classifying a small set of words on a trial-by-trial basis at levels well above chance. We found that the pattern of electrodes with the highest accuracy changed for each word, which supports the idea that closely spaced micro-electrodes are capable of capturing neural signals from independent neural processing assemblies. These results further support using cortical surface potentials (electrocorticography) in brain-computer interfaces. These results also show that LFPs recorded from the cortical surface (micro-electrocorticography) of language areas can be used to classify speech-related cortical rhythms and potentially restore communication to locked-in patients.
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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.