ArticleJournal of neural engineering2013
Advantages of closed-loop calibration in intracortical brain-computer interfaces for people with tetraplegia.
Article in Journal of neural engineering, 2013. 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 54 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
54 citing papers in PubMed.
- Speech motor cortex enables BCI cursor control and click.Journal of neural engineering · 2025Trial
- Trial
- Feedback control policies employed by people using intracortical brain-computer interfaces.Journal of neural engineering · 2017Trial
- Non-causal spike filtering improves decoding of movement intention for intracortical BCIs.Journal of neuroscience methods · 2014Trial
- Human learning of noninvasive brain-computer interfaces via manifold geometry.Nature neuroscience · 2026Article
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- Toward Natural Limb Function: A New Era in Prosthetic Innovation.Annals of neurology · 2025Review
- Long-term performance of intracortical microelectrode arrays in 14 BrainGate clinical trial participants.medRxiv : the preprint server for health sciences · 2025Article
- Less is more: selection from a small set of options improves BCI velocity control.Journal of neural engineering · 2025Article
- Article
- Speech motor cortex enables BCI cursor control and click.bioRxiv : the preprint server for biology · 2024Article
- Measuring instability in chronic human intracortical neural recordings towards stable, long-term brain-computer interfaces.Communications biology · 2024Article
- Less is more: selection from a small set of options improves BCI velocity control.bioRxiv : the preprint server for biology · 2024Article
- A flexible intracortical brain-computer interface for typing using finger movements.bioRxiv : the preprint server for biology · 2024Article
- Flexible regulation of representations on a drifting manifold enables long-term stable complex neuroprosthetic control.bioRxiv : the preprint server for biology · 2023Article
- Article
- The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study.Frontiers in computational neuroscience · 2023Article
- Impact of dataset size and long-term ECoG-based BCI usage on deep learning decoders performance.Frontiers in human neuroscience · 2023Article
- Online adaptive group-wise sparse Penalized Recursive Exponentially Weighted N-way Partial Least Square for epidural intracranial BCI.Frontiers in human neuroscience · 2023Article
- Validation of a non-invasive, real-time, human-in-the-loop model of intracortical brain-computer interfaces.Journal of neural engineering · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
objectiveBrain-computer interfaces (BCIs) aim to provide a means for people with severe motor disabilities to control their environment directly with neural activity. In intracortical BCIs for people with tetraplegia, the decoder that maps neural activity to desired movements has typically been calibrated using 'open-loop' (OL) imagination of control while a cursor automatically moves to targets on a computer screen. However, because neural activity can vary across contexts, a decoder calibrated using OL data may not be optimal for 'closed-loop' (CL) neural control. Here, we tested whether CL calibration creates a better decoder than OL calibration even when all other factors that might influence performance are held constant, including the amount of data used for calibration and the amount of elapsed time between calibration and testing. APPROACH: Two people with tetraplegia enrolled in the BrainGate2 pilot clinical trial performed a center-out-back task using an intracortical BCI, switching between decoders that had been calibrated on OL versus CL data. MAIN
resultsEven when all other variables were held constant, CL calibration improved neural control as well as the accuracy and strength of the tuning model. Updating the CL decoder using additional and more recent data resulted in further improvements. SIGNIFICANCE: Differences in neural activity between OL and CL contexts contribute to the superiority of CL decoders, even prior to their additional 'adaptive' advantage. In the near future, CL decoder calibration may enable robust neural control without needing to pause ongoing, practical use of BCIs, an important step toward clinical utility.
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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.