ReviewIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2017
Review: Human Intracortical Recording and Neural Decoding for Brain-Computer Interfaces.
Review in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
40 citing papers in PubMed.
- Interim Safety Profile From the Feasibility Study of the BrainGate Neural Interface System.Neurology · 2023Trial
- Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control.Journal of neural engineering · 2020Trial
- Article
- Article
- Hybrid CNN-GRU Models for Improved EEG Motor Imagery Classification.Sensors (Basel, Switzerland) · 2025Article
- Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.Journal of clinical medicine · 2025Review
- Improved evaluation of waveform reconstruction in speech decoding based on invasive brain-computer interfaces.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- The expanding repertoire of brain-computer interfaces.Nature medicine · 2025Article
- Brain-Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap.Neurocritical care · 2024Review
- Article
- Event detection and classification from multimodal time series with application to neural data.Journal of neural engineering · 2024Article
- BRAND: a platform for closed-loop experiments with deep network models.Journal of neural engineering · 2024Article
- Effectiveness of the Combined Use of a Brain-Machine Interface System and Virtual Reality as a Therapeutic Approach in Patients with Spinal Cord Injury: A Systematic Review.Healthcare (Basel, Switzerland) · 2023Review
- Integration of landmark and saccade target signals in macaque frontal cortex visual responses.Communications biology · 2023Article
- Intracortical brain-computer interfaces in primates: a review and outlook.Biomedical engineering letters · 2023Review
- Use of Invasive Brain-Computer Interfaces in Pediatric Neurosurgery: Technical and Ethical Considerations.Journal of child neurology · 2023Review
- Towards clinical application of implantable brain-computer interfaces for people with late-stage ALS: medical and ethical considerations.Journal of neurology · 2023Review
- Conserved structures of neural activity in sensorimotor cortex of freely moving rats allow cross-subject decoding.Nature communications · 2022Article
- Design and Simulation of a Low Power 384-channel Actively Multiplexed Neural Interface.IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference · 2022Article
- A neurophysiologically interpretable deep neural network predicts complex movement components from brain activity.Scientific reports · 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
3 authors.
Funding
Abstract
Brain-computer interfaces (BCIs) use neural information recorded from the brain for the voluntary control of external devices. The development of BCI systems has largely focused on improving functional independence for individuals with severe motor impairments, including providing tools for communication and mobility. In this review, we describe recent advances in intracortical BCI technology and provide potential directions for further research.
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.