ArticleScientific reports2016
Wireless Cortical Brain-Machine Interface for Whole-Body Navigation in Primates.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
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Who cites it
24 citing papers in PubMed, 84 citations in OpenAlex.
- Intracortical brain-computer interface for navigation in virtual reality in macaque monkeys.Science advances · 2026Article
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- Towards hippocampal navigation for brain-computer interfaces.Scientific reports · 2023Article
- Home-Enclosure-Based Behavioral and Wireless Neural Recording Setup for Unrestrained Rhesus Macaques.eNeuro · 2023Article
- Cortical Control of Virtual Self-Motion Using Task-Specific Subspaces.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Home Use of a Percutaneous Wireless Intracortical Brain-Computer Interface by Individuals With Tetraplegia.IEEE transactions on bio-medical engineering · 2021Article
- Recording Strategies for High Channel Count, Densely Spaced Microelectrode Arrays.Frontiers in neuroscience · 2021Review
- Studying the visual brain in its natural rhythm.NeuroImage · 2020Review
- Article
- Agency and Accountability: Ethical Considerations for Brain-Computer Interfaces.The Rutgers journal of bioethics · 2020Article
- Implantable Neural Probes for Brain-Machine Interfaces - Current Developments and Future Prospects.Experimental neurobiology · 2018Review
- Place Cell-Like Activity in the Primary Sensorimotor and Premotor Cortex During Monkey Whole-Body Navigation.Scientific reports · 2018Article
- Interbrain cortical synchronization encodes multiple aspects of social interactions in monkey pairs.Scientific reports · 2018Article
- Silicon Valley new focus on brain computer interface: hype or hope for new applications?F1000Research · 2018Review
- Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game.Computational intelligence and neuroscience · 2018Article
- Integration of Nanobots Into Neural Circuits As a Future Therapy for Treating Neurodegenerative Disorders.Frontiers in neuroscience · 2018Article
- Organismal Engineering: Towards a Robotic Taxonomic Key for Devices Using Organic Materials.Science robotics · 2017Article
- A novel paraplegia model in awake behaving macaques.Journal of neurophysiology · 2017Article
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 2 institutions in 1 country.
Funding
Abstract
Several groups have developed brain-machine-interfaces (BMIs) that allow primates to use cortical activity to control artificial limbs. Yet, it remains unknown whether cortical ensembles could represent the kinematics of whole-body navigation and be used to operate a BMI that moves a wheelchair continuously in space. Here we show that rhesus monkeys can learn to navigate a robotic wheelchair, using their cortical activity as the main control signal. Two monkeys were chronically implanted with multichannel microelectrode arrays that allowed wireless recordings from ensembles of premotor and sensorimotor cortical neurons. Initially, while monkeys remained seated in the robotic wheelchair, passive navigation was employed to train a linear decoder to extract 2D wheelchair kinematics from cortical activity. Next, monkeys employed the wireless BMI to translate their cortical activity into the robotic wheelchair's translational and rotational velocities. Over time, monkeys improved their ability to navigate the wheelchair toward the location of a grape reward. The navigation was enacted by populations of cortical neurons tuned to whole-body displacement. During practice with the apparatus, we also noticed the presence of a cortical representation of the distance to reward location. These results demonstrate that intracranial BMIs could restore whole-body mobility to severely paralyzed patients in the future.
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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.