ArticleFrontiers in neuroengineering2010
Neuroengineering tools/applications for bidirectional interfaces, brain-computer interfaces, and neuroprosthetic implants - a review of recent progress.
Article in Frontiers in neuroengineering, 2010. 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
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
24 citing papers in PubMed, 81 citations in OpenAlex.
- Exploring the intersection of brain-computer interfaces and traditional, complementary, and integrative medicine.Integrative medicine research · 2025Article
- Hydrogel-Based Biointerfaces: Recent Advances, Challenges, and Future Directions in Human-Machine Integration.Gels (Basel, Switzerland) · 2025Review
- Exploring the Impact of Brain-Computer Interfaces on Health Care: Innovations, Challenges, and Future Prospects: A Review Article.Journal of pharmacy & bioallied sciences · 2024Review
- Review
- There's Plenty of Room Right Here: Biological Systems as Evolved, Overloaded, Multi-Scale Machines.Biomimetics (Basel, Switzerland) · 2023Article
- Identifying Thematics in a Brain-Computer Interface Research.Computational intelligence and neuroscience · 2023Review
- Biology, Buddhism, and AI: Care as the Driver of Intelligence.Entropy (Basel, Switzerland) · 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
- Optimized design of a hyperflexible sieve electrode to enhance neurovascular regeneration for a peripheral neural interface.Biomaterials · 2021Article
- Concerns in the Blurred Divisions between Medical and Consumer Neurotechnology.IEEE systems journal · 2021Article
- Carbon Nanotube Modified Microelectrode Array for Neural Interface.Frontiers in bioengineering and biotechnology · 2020Article
- Article
- Frequency-domain vs continuous-wave near-infrared spectroscopy devices: a comparison of clinically viable monitors in controlled hypoxia.Journal of clinical monitoring and computing · 2017Article
- Interfacing to the brain's motor decisions.Journal of neurophysiology · 2017Review
- Technologies for imaging neural activity in large volumes.Nature neuroscience · 2016Review
- Distribution and Morphology of Calcium-Binding Proteins Immunoreactive Neurons following Chronic Tungsten Multielectrode Implants.PloS one · 2015Article
- Parietal neural prosthetic control of a computer cursor in a graphical-user-interface task.Journal of neural engineering · 2014Article
- A review of organic and inorganic biomaterials for neural interfaces.Advanced materials (Deerfield Beach, Fla.) · 2014Review
- Ectopic eyes outside the head in Xenopus tadpoles provide sensory data for light-mediated learning.The Journal of experimental biology · 2013Article
- In vivo effects of L1 coating on inflammation and neuronal health at the electrode-tissue interface in rat spinal cord and dorsal root ganglion.Acta biomaterialia · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The main focus of this review is to provide a holistic amalgamated overview of the most recent human in vivo techniques for implementing brain-computer interfaces (BCIs), bidirectional interfaces, and neuroprosthetics. Neuroengineering is providing new methods for tackling current difficulties; however neuroprosthetics have been studied for decades. Recent progresses are permitting the design of better systems with higher accuracies, repeatability, and system robustness. Bidirectional interfaces integrate recording and the relaying of information from and to the brain for the development of BCIs. The concepts of non-invasive and invasive recording of brain activity are introduced. This includes classical and innovative techniques like electroencephalography and near-infrared spectroscopy. Then the problem of gliosis and solutions for (semi-) permanent implant biocompatibility such as innovative implant coatings, materials, and shapes are discussed. Implant power and the transmission of their data through implanted pulse generators and wireless telemetry are taken into account. How sensation can be relayed back to the brain to increase integration of the neuroengineered systems with the body by methods such as micro-stimulation and transcranial magnetic stimulation are then addressed. The neuroprosthetic section discusses some of the various types and how they operate. Visual prosthetics are discussed and the three types, dependant on implant location, are examined. Auditory prosthetics, being cochlear or cortical, are then addressed. Replacement hand and limb prosthetics are then considered. These are followed by sections concentrating on the control of wheelchairs, computers and robotics directly from brain activity as recorded by non-invasive and invasive techniques.
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.