ArticleJournal of neural engineering2018
Rapid calibration of an intracortical brain-computer interface for people with tetraplegia.
Article in Journal of neural engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00912041 (BrainGate2), which is not on this map. Cited by 63 papers.
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.
BrainGate2: Feasibility Study of an Intracortical Neural Interface System for Persons With Tetraplegia
Who cites it
63 citing papers in PubMed.
- Speech motor cortex enables BCI cursor control and click.Journal of neural engineering · 2025Trial
- Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System.Neurology · 2023Trial
- Trial
- Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis.Nature neuroscience · 2026Article
- Preparatory encoding of intended movement in the human motor cortex and implications for brain-computer interfaces.Current biology : CB · 2026Article
- Manifold-constrained plasticity enables stable learning in recurrent neural circuits.PLoS computational biology · 2026Article
- Long-term unsupervised recalibration of cursor-based intracortical brain-computer interfaces using a hidden Markov model.Nature biomedical engineering · 2026Article
- Long-term independent use of an intracortical brain-computer interface for speech and cursor control.Nature medicine · 2026Article
- [Neuroprosthetics].Chirurgie (Heidelberg, Germany) · 2026Review
- Decoding intended speech with an intracortical brain-computer interface in a person with long-standing anarthria and locked-in syndrome.Cell reports · 2026Article
- Chronically Stable, High-Resolution Micro-Electrocorticographic Brain-Computer Interfaces for Real-Time Motor Decoding.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Toward Natural Limb Function: A New Era in Prosthetic Innovation.Annals of neurology · 2025Review
- Article
- Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participants.medRxiv : the preprint server for health sciences · 2025Article
- Metaplasticity and continual learning: mechanisms subserving brain computer interface proficiency.Journal of neural engineering · 2025Article
- Stabilizing brain-computer interfaces through alignment of latent dynamics.Nature communications · 2025Article
- A novel robot-assisted method for implanting intracortical sensorimotor devices for brain-computer interface studies: principles, surgical techniques, and challenges.Journal of neurosurgery · 2025Article
- Multi-gesture drag-and-drop decoding in a 2D iBCI control task.Journal of neural engineering · 2025Article
- Less is more: selection from a small set of options improves BCI velocity control.Journal of neural engineering · 2025Article
- Motor somatotopy impacts imagery strategy success in human intracortical brain-computer interfaces.Journal of neural engineering · 2025Article
3 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
30 authors.
Funding
Abstract
objectiveBrain-computer interfaces (BCIs) can enable individuals with tetraplegia to communicate and control external devices. Though much progress has been made in improving the speed and robustness of neural control provided by intracortical BCIs, little research has been devoted to minimizing the amount of time spent on decoder calibration. APPROACH: We investigated the amount of time users needed to calibrate decoders and achieve performance saturation using two markedly different decoding algorithms: the steady-state Kalman filter, and a novel technique using Gaussian process regression (GP-DKF). MAIN
resultsThree people with tetraplegia gained rapid closed-loop neural cursor control and peak, plateaued decoder performance within 3 min of initializing calibration. We also show that a BCI-naïve user (T5) was able to rapidly attain closed-loop neural cursor control with the GP-DKF using self-selected movement imagery on his first-ever day of closed-loop BCI use, acquiring a target 37 s after initiating calibration. SIGNIFICANCE: These results demonstrate the potential for an intracortical BCI to be used immediately after deployment by people with paralysis, without the need for user learning or extensive system calibration.
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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.