ReviewNature reviews. Neuroscience2024
The speech neuroprosthesis.
Review in Nature reviews. Neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Real-time detection of spoken speech from unlabeled ECoG signals: a pilot study with an ALS participant.Journal of neural engineering · 2025Trial
- Simultaneous speech and gesture decoding for multimodal communication in paralysis.Nature neuroscience · 2026Article
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Speech Brain-Computer Interfaces: A New Pathway for Restoring Communication in Anarthria.Neuroscience bulletin · 2026Article
- Distinct neural processes link speech planning and execution.Nature human behaviour · 2026Article
- Optimal Size of Electrocorticography Grids for Classification of Hand Movements.Neuroinformatics · 2026Article
- Encoding of speech modes and loudness in ventral precentral gyrus.Nature communications · 2026Article
- Decoding intended speech with an intracortical brain-computer interface in a person with long-standing anarthria and locked-in syndrome.Cell reports · 2026Article
- The evolution of speech communication devices for anarthria: a review.Journal of neurology · 2026Review
- High-fidelity neural speech reconstruction through an efficient acoustic-linguistic dual-pathway framework.eLife · 2026Article
- Optimizing electrode placement and information capacity for local field potentials in cortex.NeuroImage · 2026Article
- Wearable intelligent throat enables natural speech in stroke patients with dysarthria.Nature communications · 2026Article
- Multi-Level Perception Systems in Fusion of Lifeforms: Classification, Challenges and Future Conceptions.Sensors (Basel, Switzerland) · 2026Review
- Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.Frontiers in neuroscience · 2026Article
- From deep brain stimulation to brain-computer interfaces: current progress in implantable neurotechnology.Frontiers in neuroscience · 2026Review
- Revealing spatiotemporal neural activation patterns in electrocorticography recordings of human speech production by mutual information.Neuroscience informatics · 2025Article
- Real-time decoding of full-spectrum Chinese using brain-computer interface.Science advances · 2025Article
- 3D directional tuning in the orofacial sensorimotor cortex during natural feeding and drinking.eLife · 2025Article
- Sensorimotor Theta Oscillations Coordinate Speech Movements.bioRxiv : the preprint server for biology · 2025Article
- Progress, challenges and future of linguistic neural decoding with deep learning.Communications biology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Loss of speech after paralysis is devastating, but circumventing motor-pathway injury by directly decoding speech from intact cortical activity has the potential to restore natural communication and self-expression. Recent discoveries have defined how key features of speech production are facilitated by the coordinated activity of vocal-tract articulatory and motor-planning cortical representations. In this Review, we highlight such progress and how it has led to successful speech decoding, first in individuals implanted with intracranial electrodes for clinical epilepsy monitoring and subsequently in individuals with paralysis as part of early feasibility clinical trials to restore speech. We discuss high-spatiotemporal-resolution neural interfaces and the adaptation of state-of-the-art speech computational algorithms that have driven rapid and substantial progress in decoding neural activity into text, audible speech, and facial movements. Although restoring natural speech is a long-term goal, speech neuroprostheses already have performance levels that surpass communication rates offered by current assistive-communication technology. Given this accelerated rate of progress in the field, we propose key evaluation metrics for speed and accuracy, among others, to help standardize across studies. We finish by highlighting several directions to more fully explore the multidimensional feature space of speech and language, which will continue to accelerate progress towards a clinically viable speech neuroprosthesis.
Indexed as
Identifiers
What 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.