ReviewMaterials (Basel, Switzerland)2018
Recent Progress on Microelectrodes in Neural Interfaces.
Review in Materials (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
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Who cites it
33 citing papers in PubMed.
- Electrical Stimulation-Induced Modulation of Small Extracellular Vesicles in Regenerative Therapy.Tissue engineering and regenerative medicine · 2026Review
- Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.Neural regeneration research · 2026Article
- Microelectrode arrays cultured with in vitro neural networks for motion control tasks: encoding and decoding progress and advances.Microsystems & nanoengineering · 2025Review
- Advances in large-scale electrophysiology with high-density microelectrode arrays.Lab on a chip · 2025Review
- Electrical Stimulation of Cells: Drivers, Technology, and Effects.Chemical reviews · 2025Review
- Nanoporous platinum microelectrode arrays for neuroscience applications.RSC advances · 2025Article
- Carbon Nanotube-Based Printed All-Organic Microelectrode Arrays for Neural Stimulation and Recording.Micromachines · 2024Article
- Research and progress on the mechanism of lower urinary tract neuromodulation: a literature review.PeerJ · 2024Review
- Towards a Systemic Concept of the Brain Ishemia Stroke: Monte Carlo DrivenCNS & neurological disorders drug targets · 2024Article
- Flexible, Transparent, and Cytocompatible Nanostructured Indium Tin Oxide Thin Films for Bio-optoelectronic Applications.ACS applied materials & interfaces · 2023Article
- A Simple, Lightweight, and Low-Cost Customizable Multielectrode Array for Local Field Potential Recordings.eNeuro · 2023Article
- Polymer nanofiber network reinforced gold electrode array for neural activity recording.Biomedical engineering letters · 2023Article
- In Vivo Penetrating Microelectrodes for Brain Electrophysiology.Sensors (Basel, Switzerland) · 2022Review
- Carbohydrate based biomaterials for neural interface applications.Journal of materials chemistry. B · 2022Review
- Noise Power Minimization in CMOS Brain-Chip Interfaces.Bioengineering (Basel, Switzerland) · 2022Article
- From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.Frontiers in neuroinformatics · 2022Review
- Three dimensional microelectrodes enable high signal and spatial resolution for neural seizure recordings in brain slices and freely behaving animals.Scientific reports · 2021Article
- Applications of Carbon Nanotubes in the Internet of Things Era.Nano-micro letters · 2021Article
- Hybrid Multisite Silicon Neural Probe with Integrated Flexible Connector for Interchangeable Packaging.Sensors (Basel, Switzerland) · 2021Article
- Interface Design for Stretchable Electronic Devices.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Review
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.
Funding
Abstract
Brain‒machine interface (BMI) is a promising technology that looks set to contribute to the development of artificial limbs and new input devices by integrating various recent technological advances, including neural electrodes, wireless communication, signal analysis, and robot control. Neural electrodes are a key technological component of BMI, as they can record the rapid and numerous signals emitted by neurons. To receive stable, consistent, and accurate signals, electrodes are designed in accordance with various templates using diverse materials. With the development of microelectromechanical systems (MEMS) technology, electrodes have become more integrated, and their performance has gradually evolved through surface modification and advances in biotechnology. In this paper, we review the development of the extracellular/intracellular type of in vitro microelectrode array (MEA) to investigate neural interface technology and the penetrating/surface (non-penetrating) type of in vivo electrodes. We briefly examine the history and study the recently developed shapes and various uses of the electrode. Also, electrode materials and surface modification techniques are reviewed to measure high-quality neural signals that can be used in BMI.
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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.