ArticleNature medicine2018
Meeting brain-computer interface user performance expectations using a deep neural network decoding framework.
Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 52 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.
Reanimation in Tetraplegia: Restoring Cortical Control of Functional Movement in Humans With Quadriplegia
High Definition Neuromuscular Stimulation in Tetraplegia
Who cites it
52 citing papers in PubMed, 168 citations in OpenAlex.
- Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals.Scientific reports · 2026Article
- Non-Invasive Brain-Computer Interfaces: Converging Frontiers in Neural Signal Decoding and Flexible Bioelectronics Integration.Nano-micro letters · 2026Review
- Enhanced control of a brain-computer interface by tetraplegic participants via neural-network-mediated feature extraction.Nature biomedical engineering · 2025Article
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- A preliminary study of steady-state visually-evoked potential-based non-invasive brain-computer interface technology as a communication aid for patients with amyotrophic lateral sclerosis.Quantitative imaging in medicine and surgery · 2025Article
- Bioelectronic Therapeutics: A Revolutionary Medical Practice in Health Care.Bioelectricity · 2025Review
- Harnessing the synergy of statistics and deep learning for BCI competition 4 dataset 4: a novel approach.Brain informatics · 2025Article
- Article
- Neural interfaces: Bridging the brain to the world beyond healthcare.Exploration (Beijing, China) · 2024Article
- Artificial Intelligence as a Replacement for Animal Experiments in Neurology: Potential, Progress, and Challenges.Neurology international · 2024Article
- End-to-end deep learning approach to mouse behavior classification from cortex-wide calcium imaging.PLoS computational biology · 2024Article
- Brain-computer interface digital prescription for neurological disorders.CNS neuroscience & therapeutics · 2024Review
- Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface.Journal of neuroengineering and rehabilitation · 2024Article
- A Combined Virtual Electrode-Based ESA and CNN Method for MI-EEG Signal Feature Extraction and Classification.Sensors (Basel, Switzerland) · 2023Article
- Article
- Recent Progress in Wearable Brain-Computer Interface (BCI) Devices Based on Electroencephalogram (EEG) for Medical Applications: A Review.Health data science · 2023Review
- Neural Decoding for Intracortical Brain-Computer Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2023Review
- Innovative perspectives in limbic surgery using deep brain stimulation.Frontiers in neuroscience · 2023Review
- Article
- Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder.Nature communications · 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
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain-computer interface (BCI) neurotechnology has the potential to reduce disability associated with paralysis by translating neural activity into control of assistive devices
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.