ArticleNature neuroscience2025
A streaming brain-to-voice neuroprosthesis to restore naturalistic communication.
Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for brain-to-speech decoding in paralysis: a systematic review.BMC medical informatics and decision making · 2026Pooled it
- Simultaneous speech and gesture decoding for multimodal communication in paralysis.Nature neuroscience · 2026Article
- In conversation with Edward Chang.Nature neuroscience · 2026Article
- Speech Brain-Computer Interfaces: A New Pathway for Restoring Communication in Anarthria.Neuroscience bulletin · 2026Article
- Long-term independent use of an intracortical brain-computer interface for speech and cursor control.Nature medicine · 2026Article
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Advances in neuroprostheses: interfaces, materials, and applications.Nano convergence · 2026Review
- Premotor cortex uses a compositional neural geometry to plan words.bioRxiv : the preprint server for biology · 2026Article
- Encoding of speech modes and loudness in ventral precentral gyrus.Nature communications · 2026Article
- Primate neuroethology: a new synthesis.Trends in cognitive sciences · 2026Review
- Stable speech BCI performance during slow progression of ALS: A longitudinal ECoG study.Research square · 2026Article
- The evolution of speech communication devices for anarthria: a review.Journal of neurology · 2026Review
- Automating Critical Care EEG: Enhancing Accuracy, Efficiency, and Patient Outcomes in Critical Care.Epilepsy currents · 2026Article
- Ionic-Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms.bioRxiv : the preprint server for biology · 2026Article
- Muscle myography for human-machine interfaces: a review of sensing modalities and control interfaces.Frontiers in bioengineering and biotechnology · 2026Review
- From deep brain stimulation to brain-computer interfaces: current progress in implantable neurotechnology.Frontiers in neuroscience · 2026Review
- The tongue may not move, but the voice will: preoperative AI voice cloning for identity preservation in major glossectomy - a prospective feasibility study.Frontiers in oncology · 2026Article
- Single-Neuron Recordings Research in Children: Ethical Considerations, Feasibility, Technical Aspects, and Scientific Opportunities.Pediatric neurosurgery · 2026Review
- Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.Frontiers in neuroscience · 2026Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Natural spoken communication happens instantaneously. Speech delays longer than a few seconds can disrupt the natural flow of conversation. This makes it difficult for individuals with paralysis to participate in meaningful dialogue, potentially leading to feelings of isolation and frustration. Here we used high-density surface recordings of the speech sensorimotor cortex in a clinical trial participant with severe paralysis and anarthria to drive a continuously streaming naturalistic speech synthesizer. We designed and used deep learning recurrent neural network transducer models to achieve online large-vocabulary intelligible fluent speech synthesis personalized to the participant's preinjury voice with neural decoding in 80-ms increments. Offline, the models demonstrated implicit speech detection capabilities and could continuously decode speech indefinitely, enabling uninterrupted use of the decoder and further increasing speed. Our framework also successfully generalized to other silent-speech interfaces, including single-unit recordings and electromyography. Our findings introduce a speech-neuroprosthetic paradigm to restore naturalistic spoken communication to people with paralysis.
Indexed as
Identifiers
40164740What OpenQuestion holds
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.