ReviewFrontiers in neuroinformatics2019
Decoding Movement From Electrocorticographic Activity: A Review.
Review in Frontiers in neuroinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- Optimal Size of Electrocorticography Grids for Classification of Hand Movements.Neuroinformatics · 2026Article
- Cortico-basal oscillations index naturalistic movements during deep brain stimulation.Brain : a journal of neurology · 2026Article
- Seamless human electronics interfacing through advanced skin attachable and implantable sensor technologies.Discover nano · 2026Review
- Minimally invasive implantation of scalable high-density cortical microelectrode arrays for multimodal neural decoding and stimulation.Nature biomedical engineering · 2026Article
- Optimal location for gesture decoding in the sensorimotor cortex and implications for brain-computer interface research.NeuroImage · 2026Article
- Inferring Arm Movement Direction from EEG Signals Using Explainable Deep Learning.Sensors (Basel, Switzerland) · 2026Article
- Advancing individual finger classification through a sandwich enhanced CBAM network with ultra-high-density EEG data.Frontiers in human neuroscience · 2026Article
- Longitudinal multitask wireless electrocorticography data from two fully implanted nonhuman primates.Scientific data · 2025Article
- A wireless subdural-contained brain-computer interface with 65,536 electrodes and 1,024 channels.Nature electronics · 2025Article
- 5-year follow-up of a fully implanted brain-computer interface in a spinal cord injury patient.Journal of neural engineering · 2025Article
- Mapping Eye, Arm, and Reward Information in Frontal Motor Cortices Using Electrocorticography in Nonhuman Primates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Overcoming failure: improving acceptance and success of implanted neural interfaces.Bioelectronic medicine · 2025Review
- Stable, chronic in-vivo recordings from a fully wireless subdural-contained 65,536-electrode brain-computer interface device.bioRxiv : the preprint server for biology · 2025Article
- DTCNet: finger flexion decoding with three-dimensional ECoG data.Frontiers in computational neuroscience · 2025Article
- Improved evaluation of waveform reconstruction in speech decoding based on invasive brain-computer interfaces.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Comparison metrics and power trade-offs for BCI motor decoding circuit design.Frontiers in human neuroscience · 2025Review
- Materials and devices for high-density, high-throughput micro-electrocorticography arrays.Fundamental research · 2025Review
- Mapping eye, arm, and reward information in frontal motor cortices using electrocorticography in non-human primates.bioRxiv : the preprint server for biology · 2024Article
- A bilingual speech neuroprosthesis driven by cortical articulatory representations shared between languages.Nature biomedical engineering · 2024Article
- Origami-inspired soft fluidic actuation for minimally invasive large-area electrocorticography.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electrocorticography (ECoG) holds promise to provide efficient neuroprosthetic solutions for people suffering from neurological disabilities. This recording technique combines adequate temporal and spatial resolution with the lower risks of medical complications compared to the other invasive methods. ECoG is routinely used in clinical practice for preoperative cortical mapping in epileptic patients. During the last two decades, research utilizing ECoG has considerably grown, including the paradigms where behaviorally relevant information is extracted from ECoG activity with decoding algorithms of different complexity. Several research groups have advanced toward the development of assistive devices driven by brain-computer interfaces (BCIs) that decode motor commands from multichannel ECoG recordings. Here we review the evolution of this field and its recent tendencies, and discuss the potential areas for future development.
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.