ReviewCurrent biology : CB2014
Toward more versatile and intuitive cortical brain-machine interfaces.
Review in Current biology : CB, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 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
39 citing papers in PubMed.
- Volitional control of single-electrode high gamma local field potentials by people with paralysis.Journal of neurophysiology · 2019Trial
- A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery.Scientific data · 2026Article
- [Prospects and technical challenges of non-invasive brain-computer interfaces in manned space missions].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Representation of internal speech by single neurons in human supramarginal gyrus.Nature human behaviour · 2024Article
- Somatosensory ECoG-based brain-machine interface with electrical stimulation on medial forebrain bundle.Biomedical engineering letters · 2023Article
- Neuropsychology of the parietal lobe: Luria's and contemporary conceptions.Frontiers in neuroscience · 2023Review
- Co-designing an interactive artificial intelligent system with post-stroke patients and caregivers to augment the lost abilities and improve their quality of life: a human-centric approach.Frontiers in public health · 2023Article
- Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human.Neuron · 2022Article
- Poly(3,4-ethylenedioxythiophene)-Based Neural Interfaces for Recording and Stimulation: Fundamental Aspects and In Vivo Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Article
- New insights on single-neuron selectivity in the era of population-level approaches.Frontiers in integrative neuroscience · 2022Review
- The Influence of Frequency Bands and Brain Region on ECoG-Based BMI Learning Performance.Sensors (Basel, Switzerland) · 2021Article
- Decoding of Attentional State Using High-Frequency Local Field Potential Is As Accurate As Using Spikes.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- [Bacomics--a new discipline integrating brain and the outside].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021Article
- Decision Signals in the Local Field Potentials of Early and Mid-Level Macaque Visual Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- TheInternational journal of disaster risk reduction : IJDRR · 2020Article
- Opportunities and limitations of genetically modified nonhuman primate models for neuroscience research.Proceedings of the National Academy of Sciences of the United States of America · 2020Review
- Electrocorticogram (ECoG) Is Highly Informative in Primate Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- EEG dynamical network analysis method reveals the neural signature of visual-motor coordination.PloS one · 2020Article
- Functional Architecture and Encoding of Tactile Sensorimotor Behavior in Rat Posterior Parietal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
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
Abstract
Brain-machine interfaces have great potential for the development of neuroprosthetic applications to assist patients suffering from brain injury or neurodegenerative disease. One type of brain-machine interface is a cortical motor prosthetic, which is used to assist paralyzed subjects. Motor prosthetics to date have typically used the motor cortex as a source of neural signals for controlling external devices. The review will focus on several new topics in the arena of cortical prosthetics. These include using: recordings from cortical areas outside motor cortex; local field potentials as a source of recorded signals; somatosensory feedback for more dexterous control of robotics; and new decoding methods that work in concert to form an ecology of decode algorithms. These new advances promise to greatly accelerate the applicability and ease of operation of motor prosthetics.
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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.