ArticleNature biotechnology2021
Plug-and-play control of a brain-computer interface through neural map stabilization.
Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.
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
70 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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
- Simultaneous speech and gesture decoding for multimodal communication in paralysis.Nature neuroscience · 2026Article
- Assistive algorithms influence neural representations in motor brain-computer interfaces.Nature communications · 2026Article
- Macroscopic EEG reveals discriminative low-frequency oscillations in plan-to-grasp visuomotor tasks.Journal of neural engineering · 2026Article
- Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model.Nature biomedical engineering · 2026Article
- Article
- Optimal sensor set for MEG-based spontaneous and intended speech decoding toward practical communication.Frontiers in human neuroscience · 2026Article
- Individualized brain-computer interface for people with disabilities: a review.Frontiers in human neuroscience · 2026Review
- Long-term neuron tracking reveals balance of stability and plasticity in functional properties.PloS one · 2026Article
- Graded multisensory neurofeedback via the iNems system for comprehensive upper limb recovery after stroke: a multiple baseline study.Frontiers in human neuroscience · 2026Article
- Chronically Stable, High-Resolution Micro-Electrocorticographic Brain-Computer Interfaces for Real-Time Motor Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- The spatiotemporal structure of neural activity in motor cortex during reaching.bioRxiv : the preprint server for biology · 2025Article
- Longitudinal study of gesture decoding in a clinical trial participant with ALS.medRxiv : the preprint server for health sciences · 2025Article
- Brain-computer interface control with artificial intelligence copilots.Nature machine intelligence · 2025Article
- Effective cerebellar neuroprosthetic control after stroke.Cell reports · 2025Article
- Implications of shared motor and perceptual activations on the sensorimotor cortex for neuroprosthetic decoding.Journal of neural engineering · 2025Article
- Stabilizing brain-computer interfaces through alignment of latent dynamics.Nature communications · 2025Article
- Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation.Nature biomedical engineering · 2025Review
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- Assistive sensory-motor perturbations influence learned neural representations.bioRxiv : the preprint server for biology · 2025Article
10 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
7 authors.
Funding
Abstract
Brain-computer interfaces (BCIs) enable control of assistive devices in individuals with severe motor impairments. A limitation of BCIs that has hindered real-world adoption is poor long-term reliability and lengthy daily recalibration times. To develop methods that allow stable performance without recalibration, we used a 128-channel chronic electrocorticography (ECoG) implant in a paralyzed individual, which allowed stable monitoring of signals. We show that long-term closed-loop decoder adaptation, in which decoder weights are carried across sessions over multiple days, results in consolidation of a neural map and 'plug-and-play' control. In contrast, daily reinitialization led to degradation of performance with variable relearning. Consolidation also allowed the addition of control features over days, that is, long-term stacking of dimensions. Our results offer an approach for reliable, stable BCI control by leveraging the stability of ECoG interfaces and neural plasticity.
Indexed as
Identifiers
32895549What 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.