neural electrode
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2021 ◽  
pp. 2105568
Author(s):  
Young Uk Cho ◽  
Ju Young Lee ◽  
Ui‐Jin Jeong ◽  
Sang Hoon Park ◽  
Se Lin Lim ◽  
...  

2021 ◽  
pp. 2107360
Author(s):  
Qian Gong ◽  
Yingying Yu ◽  
Lixing Kang ◽  
Mingchao Zhang ◽  
Yingying Zhang ◽  
...  
Keyword(s):  

Materials ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6170
Author(s):  
Weichen Wei ◽  
Xuejiao Wang

The neural electrode technique is a powerful tool for monitoring and regulating neural activity, which has a wide range of applications in basic neuroscience and the treatment of neurological diseases. Constructing a high-performance electrode–nerve interface is required for the long-term stable detection of neural signals by electrodes. However, conventional neural electrodes are mainly fabricated from rigid materials that do not match the mechanical properties of soft neural tissues, thus limiting the high-quality recording of neuroelectric signals. Meanwhile, graphene-based nanomaterials can form stable electrode–nerve interfaces due to their high conductivity, excellent flexibility, and biocompatibility. In this literature review, we describe various graphene-based electrodes and their potential application in neural activity detection. We also discuss the biological safety of graphene neural electrodes, related challenges, and their prospects.


Micromachines ◽  
2021 ◽  
Vol 12 (9) ◽  
pp. 1020
Author(s):  
Seonho Seok

Polymer materials attract more and more interests for a biocompatible package of novel implantable medical devices. Medical implants need to be packaged in a biocompatible way to minimize FBR (Foreign Body Reaction) of the implant. One of the most advanced implantable devices is neural prosthesis device, which consists of polymeric neural electrode and silicon neural signal processing integrated circuit (IC). The overall neural interface system should be packaged in a biocompatible way to be implanted in a patient. The biocompatible packaging is being mainly achieved in two approaches; (1) polymer encapsulation of conventional package based on die attach, wire bond, solder bump, etc. (2) chip-level integrated interconnect, which integrates Si chip with metal thin film deposition through sacrificial release technique. The polymer encapsulation must cover different materials, creating a multitude of interface, which is of much importance in long-term reliability of the implanted biocompatible package. Another failure mode is bio-fluid penetration through the polymer encapsulation layer. To prevent bio-fluid leakage, a diffusion barrier is frequently added to the polymer packaging layer. Such a diffusion barrier is also used in polymer-based neural electrodes. This review paper presents the summary of biocompatible packaging techniques, packaging materials focusing on encapsulation polymer materials and diffusion barrier, and a FEM-based modeling and simulation to study the biocompatible package reliability.


Author(s):  
Yi Wang ◽  
Yen Yu Ian Shih ◽  
Yuan-shin Lee

Abstract This paper presents vibration-assisted insertion of flexible neural electrodes with bio-dissolvable guides to deliver accurate microprobe insertion with minimized tissue damage. Invasive flexible neural microprobe is an important new tool for neuromodulation and recording research for medical neurology treatment applications. Flexible neural electrode probes are susceptible to bending and buckling during surgical implantation due to the thin and flexible soft substrates. Inspired by insects in nature, a vibration-assisted insertion technique is developed for flexible neural electrode insertion to deliver accurate microprobe insertion with minimized tissue damage. A three-dimensional combined longitudinal-twisting (L&T) vibration is used to reduce the insertion friction force, and thus reducing soft tissue damage. To reduce the flexible microelectrode buckling during surgical insertion, a bio-dissolvable Polyethylene glycol (PEG) guide is developed for the enhancement of flexible neural probe stiffness. Combining these two methods, the insertion performance of the flexible neural probe is significantly improved. Both the in vitro and the in vivo experiments were conducted to validate the proposed techniques.


2021 ◽  
Author(s):  
Bo Fan ◽  
Jacob T. Robinson

AbstractElectrical measurement of the activity of individual neurons is a primary goal for many invasive neural electrodes. Making these “single unit” measurements requires that we fabricate electrodes small enough so that only a few neurons contribute to the signal, but not so small that the impedance of the electrode creates overwhelming noise or signal attenuation. Thus, neural electrode design often must strike a balance between electrode size and electrode impedance, where the impedance is often assumed to scale linearly with electrode area. Here we test this assumption by measuring the impedance at 1 kHz for differently sized electrodes. Surprisingly, we find that for Pt electrodes (but not Au electrodes) this assumption breaks down for electrodes with diameters of less than 10 microns. For these small sizes, Pt electrodes have impedance values that are up to 3-fold lower than expected. By investigating the impedance spectrum of Pt and Au electrodes we find a transition between planar and spherical diffusion for small electrodes combined with the pseudo-capacitance of proton adsorption at the Pt surface can explain this anomalous low impedance. These results provide important intuition for designing small, single unit recording electrodes. Specifically, for materials that have a pseudo-capacitance or when diffusional capacitance dominates the total impedance, we should expect small electrodes will have lower-than-expected impedance values allowing us to scale these devices down further than previously thought before thermal noise or voltage division limits the ability to acquire high-quality single-unit recordings.


2021 ◽  
Vol 16 (9) ◽  
pp. 1805
Author(s):  
AdrienA Eshraghi ◽  
CrystalY Li ◽  
Rahul Mittal ◽  
Jenna Bergman ◽  
Jeenu Mittal

Biomaterials ◽  
2021 ◽  
Vol 268 ◽  
pp. 120526
Author(s):  
Keying Chen ◽  
Steven M. Wellman ◽  
Yalikun Yaxiaer ◽  
James R. Eles ◽  
Takashi DY. Kozai

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