Trial reportJournal of neurophysiology2018
Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.
Trial report in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 131 citations in OpenAlex.
- Volitional control of single-electrode high gamma local field potentials by people with paralysis.Journal of neurophysiology · 2019Trial
- NeuroGator: A Low-Power Gating System for Asynchronous BCI Based on LFP Brain State Estimation.Brain sciences · 2026Article
- Multidisciplinary rehabilitation and eye tracker-assisted communication in locked-in syndrome: a case report and literature review.Frontiers in human neuroscience · 2026Article
- Individualized brain-computer interface for people with disabilities: a review.Frontiers in human neuroscience · 2026Review
- From technological closed-loop to human-machine trust: a systematic review of ethical and communication challenges of brain-computer interface in elderly care.Frontiers in digital health · 2026Article
- Regional specialization of movement encoding across the primate sensorimotor cortex.Nature communications · 2025Article
- Invasive Brain-Computer Interface for Communication: A Scoping Review.Brain sciences · 2025Review
- Decoding semantics from natural speech using human intracranial EEG.bioRxiv : the preprint server for biology · 2025Article
- Brain-Computer Interfaces Using Flexible Electronics: An a-IGZO Front-End for Active ECoG Electrodes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.Fundamental research · 2025Review
- Artifact filtering application to increase online parity in a communication BCI: progress toward use in daily-life.Frontiers in human neuroscience · 2025Article
- Steady-State Visual Evoked Potential-Based Brain-Computer Interface System for Enhanced Human Activity Monitoring and Assessment.Sensors (Basel, Switzerland) · 2024Article
- Reducing power requirements for high-accuracy decoding in iBCIs.Journal of neural engineering · 2024Article
- NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions.AIP advances · 2024Article
- A review on the performance of brain-computer interface systems used for patients with locked-in and completely locked-in syndrome.Cognitive neurodynamics · 2024Review
- [Ethical considerations for medical applications of implantable brain-computer interfaces].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- Machine learning-based high-frequency neuronal spike reconstruction from low-frequency and low-sampling-rate recordings.Nature communications · 2024Article
- Caregivers in implantable brain-computer interface research: a scoping review.Frontiers in human neuroscience · 2024Article
- Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.Journal of neuroengineering and rehabilitation · 2023Review
- A spinal cord neuroprosthesis for locomotor deficits due to Parkinson's disease.Nature medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 7 institutions in 2 countries.
Funding
Abstract
Restoring communication for people with locked-in syndrome remains a challenging clinical problem without a reliable solution. Recent studies have shown that people with paralysis can use brain-computer interfaces (BCIs) based on intracortical spiking activity to efficiently type messages. However, due to neuronal signal instability, most intracortical BCIs have required frequent calibration and continuous assistance of skilled engineers to maintain performance. Here, an individual with locked-in syndrome due to brain stem stroke and an individual with tetraplegia secondary to amyotrophic lateral sclerosis (ALS) used a simple communication BCI based on intracortical local field potentials (LFPs) for 76 and 138 days, respectively, without recalibration and without significant loss of performance. BCI spelling rates of 3.07 and 6.88 correct characters/minute allowed the participants to type messages and write emails. Our results indicate that people with locked-in syndrome could soon use a slow but reliable LFP-based BCI for everyday communication without ongoing intervention from a technician or caregiver. NEW & NOTEWORTHY This study demonstrates, for the first time, stable repeated use of an intracortical brain-computer interface by people with tetraplegia over up to four and a half months. The approach uses local field potentials (LFPs), signals that may be more stable than neuronal action potentials, to decode participants' commands. Throughout the several months of evaluation, the decoder remained unchanged; thus no technical interventions were required to maintain consistent brain-computer interface operation.
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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.