ReviewFrontiers in neuroscience2018
Nano-Architectural Approaches for Improved Intracortical Interface Technologies.
Review in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Interface-Mediated Neurogenic Signaling: The Impact of Surface Geometry and Chemistry on Neural Cell Behavior for Regenerative and Brain-Machine Interfacing Applications.Advanced materials (Deerfield Beach, Fla.) · 2024Review
- Improving the Biocompatibility and Functionality of Neural Interface Devices with Silica Nanoparticles.Accounts of chemical research · 2024Article
- In vivo biocompatibility assessment of 3D printed bioresorbable polymers for brain tissue regeneration. A feasibility study.Regenerative therapy · 2024Article
- In Vivo Characterization of Intracortical Probes with Focused Ion Beam-Etched Nanopatterned Topographies.Micromachines · 2024Article
- Pipeline for precise insoluble matrisome coverage in tissue extracellular matrices.Frontiers in bioengineering and biotechnology · 2023Article
- An Insight of Nanomaterials in Tissue Engineering from Fabrication to Applications.Tissue engineering and regenerative medicine · 2022Review
- Mechanical Properties of the Extracellular Environment of Human Brain Cells Drive the Effectiveness of Drugs in Fighting Central Nervous System Cancers.Brain sciences · 2022Review
- A review on 3D printing functional brain model.Biomicrofluidics · 2022Review
- Implant-bone-interface: Reviewing the impact of titanium surface modifications on osteogenic processes in vitro and in vivo.Bioengineering & translational medicine · 2022Review
- Two-Photon Polymerization of 2.5D and 3D Microstructures Fostering a Ramified Resting Phenotype in Primary Microglia.Frontiers in bioengineering and biotechnology · 2022Article
- Electrochemical and biological performance of hierarchical platinum-iridium electrodes structured by a femtosecond laser.Microsystems & nanoengineering · 2022Article
- Bio-integrative design of the neural tissue-device interface.Current opinion in biotechnology · 2021Review
- Unraveling the Local Relation Between Tissue Composition and Human Brain Mechanics Through Machine Learning.Frontiers in bioengineering and biotechnology · 2021Article
- RepositioningPharmaceutics · 2020Article
- Nanoparticles and its biomedical applications in health and diseases: special focus on drug delivery.Environmental science and pollution research international · 2020Review
- Biomimetic Materials and Their Utility in Modeling the 3-Dimensional Neural Environment.iScience · 2020Review
- Focused Ion Beam Lithography to Etch Nano-architectures into Microelectrodes.Journal of visualized experiments : JoVE · 2020Article
- Toward Standardization of Electrophysiology and Computational Tissue Strain in Rodent Intracortical Microelectrode Models.Frontiers in bioengineering and biotechnology · 2020Article
- Nanogrooves for 2D and 3D Microenvironments of SH-SY5Y Cultures in Brain-on-Chip Technology.Frontiers in neuroscience · 2020Article
- Nanogroove-Enhanced Hydrogel Scaffolds for 3D Neuronal Cell Culture: An Easy Access Brain-on-Chip Model.Micromachines · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Intracortical microelectrodes (IME) are neural devices that initially were designed to function as neuroscience tools to enable researchers to understand the nervous system. Over the years, technology that aids interfacing with the nervous system has allowed the ability to treat patients with a wide range of neurological injuries and diseases. Despite the substantial success that has been demonstrated using IME in neural interface applications, these implants eventually fail due to loss of quality recording signals. Recent strategies to improve interfacing with the nervous system have been inspired by methods that mimic the native tissue. This review focusses on one strategy in particular, nano-architecture, a term we introduce that encompasses the approach of roughening the surface of the implant. Various nano-architecture approaches have been hypothesized to improve the biocompatibility of IMEs, enhance the recording quality, and increase the longevity of the implant. This review will begin by introducing IME technology and discuss the challenges facing the clinical deployment of IME technology. The biological inspiration of nano-architecture approaches will be explained as well as leading fabrication methods used to create nano-architecture and their limitations. A review of the effects of nano-architecture surfaces on neural cells will be examined, depicting the various cellular responses to these modified surfaces in both
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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.