Literature DB >> 33585422

A Review: Electrode and Packaging Materials for Neurophysiology Recording Implants.

Weiyang Yang1, Yan Gong1, Wen Li1.   

Abstract

To date, a wide variety of neural tissue implants have been developed for neurophysiology recording from living tissues. An ideal neural implant should minimize the damage to the tissue and perform reliably and accurately for long periods of time. Therefore, the materials utilized to fabricate the neural recording implants become a critical factor. The materials of these devices could be classified into two broad categories: electrode materials as well as packaging and substrate materials. In this review, inorganic (metals and semiconductors), organic (conducting polymers), and carbon-based (graphene and carbon nanostructures) electrode materials are reviewed individually in terms of various neural recording devices that are reported in recent years. Properties of these materials, including electrical properties, mechanical properties, stability, biodegradability/bioresorbability, biocompatibility, and optical properties, and their critical importance to neural recording quality and device capabilities, are discussed. For the packaging and substrate materials, different material properties are desired for the chronic implantation of devices in the complex environment of the body, such as biocompatibility and moisture and gas hermeticity. This review summarizes common solid and soft packaging materials used in a variety of neural interface electrode designs, as well as their packaging performances. Besides, several biopolymers typically applied over the electrode package to reinforce the mechanical rigidity of devices during insertion, or to reduce the immune response and inflammation at the device-tissue interfaces are highlighted. Finally, a benchmark analysis of the discussed materials and an outlook of the future research trends are concluded.
Copyright © 2021 Yang, Gong and Li.

Entities:  

Keywords:  implantable; inorganic; materials; microelectrodes; neurophysiology; organic; packaging

Year:  2021        PMID: 33585422      PMCID: PMC7873964          DOI: 10.3389/fbioe.2020.622923

Source DB:  PubMed          Journal:  Front Bioeng Biotechnol        ISSN: 2296-4185


  245 in total

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Journal:  J Neurosci Methods       Date:  2004-08-30       Impact factor: 2.390

2.  Superior electrochemical performance of carbon nanotubes directly grown on sharp microelectrodes.

Authors:  Alberto Ansaldo; Elisa Castagnola; Emma Maggiolini; Luciano Fadiga; Davide Ricci
Journal:  ACS Nano       Date:  2011-02-22       Impact factor: 15.881

3.  Characteristics of Transparent, PEDOT:PSS Coated Indium-Tin-Oxide (ITO) Microelectrodes.

Authors:  Weiyang Yang; Allison Broski; Jiajia Wu; Qi Hua Fan; Wen Li
Journal:  IEEE Trans Nanotechnol       Date:  2017-12-20       Impact factor: 2.570

4.  Bioresorbable photonic devices for the spectroscopic characterization of physiological status and neural activity.

Authors:  Wubin Bai; Jiho Shin; Ruxing Fu; Irawati Kandela; Di Lu; Xiaoyue Ni; Yoonseok Park; Zhonghe Liu; Tao Hang; Di Wu; Yonghao Liu; Chad R Haney; Iwona Stepien; Quansan Yang; Jie Zhao; Khizar Rehan Nandoliya; Hao Zhang; Xing Sheng; Lan Yin; Keith MacRenaris; Anlil Brikha; Fraser Aird; Maryam Pezhouh; Jessica Hornick; Weidong Zhou; John A Rogers
Journal:  Nat Biomed Eng       Date:  2019-08-07       Impact factor: 25.671

Review 5.  Polylactic acid (PLA) controlled delivery carriers for biomedical applications.

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Journal:  Adv Drug Deliv Rev       Date:  2016-07-15       Impact factor: 15.470

6.  Polylysine-modified PEG-based hydrogels to enhance the neuro-electrode interface.

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Journal:  J Biomater Sci Polym Ed       Date:  2010-06-21       Impact factor: 3.517

Review 7.  Silk-based biomaterials.

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Journal:  Biomaterials       Date:  2003-02       Impact factor: 12.479

8.  High Density Individually Addressable Nanowire Arrays Record Intracellular Activity from Primary Rodent and Human Stem Cell Derived Neurons.

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Journal:  Nano Lett       Date:  2017-04-10       Impact factor: 11.189

9.  A transparent μECoG array for simultaneous recording and optogenetic stimulation.

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10.  Structural control of mixed ionic and electronic transport in conducting polymers.

Authors:  Jonathan Rivnay; Sahika Inal; Brian A Collins; Michele Sessolo; Eleni Stavrinidou; Xenofon Strakosas; Christopher Tassone; Dean M Delongchamp; George G Malliaras
Journal:  Nat Commun       Date:  2016-04-19       Impact factor: 14.919

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  6 in total

Review 1.  Recent Advances in Stretchable and Wearable Capacitive Electrophysiological Sensors for Long-Term Health Monitoring.

Authors:  Hadaate Ullah; Md A Wahab; Geoffrey Will; Mohammad R Karim; Taisong Pan; Min Gao; Dakun Lai; Yuan Lin; Mahdi H Miraz
Journal:  Biosensors (Basel)       Date:  2022-08-11

2.  Parylene C as an Insulating Polymer for Implantable Neural Interfaces: Acute Electrochemical Impedance Behaviors in Saline and Pig Brain In Vitro.

Authors:  Yuan Zhang; Jing Zhang; Song Le; Lan Niu; Jin Tao; Jingqiu Liang; Lihua Zhang; Xiaoyang Kang
Journal:  Polymers (Basel)       Date:  2022-07-27       Impact factor: 4.967

Review 3.  The effects of electrical stimulation on glial cell behaviour.

Authors:  Christopher T Tsui; Preet Lal; Katelyn V R Fox; Matthew A Churchward; Kathryn G Todd
Journal:  BMC Biomed Eng       Date:  2022-09-03

4.  Wearable microneedle-based electrochemical aptamer biosensing for precision dosing of drugs with narrow therapeutic windows.

Authors:  Shuyu Lin; Xuanbing Cheng; Jialun Zhu; Bo Wang; David Jelinek; Yichao Zhao; Tsung-Yu Wu; Abraham Horrillo; Jiawei Tan; Justin Yeung; Wenzhong Yan; Sarah Forman; Hilary A Coller; Carlos Milla; Sam Emaminejad
Journal:  Sci Adv       Date:  2022-09-23       Impact factor: 14.957

Review 5.  Soft Devices for High-Resolution Neuro-Stimulation: The Interplay Between Low-Rigidity and Resolution.

Authors:  Ieva Vėbraitė; Yael Hanein
Journal:  Front Med Technol       Date:  2021-06-14

Review 6.  Research Progress on the Flexibility of an Implantable Neural Microelectrode.

Authors:  Huiqing Zhao; Ruping Liu; Huiling Zhang; Peng Cao; Zilong Liu; Ye Li
Journal:  Micromachines (Basel)       Date:  2022-02-28       Impact factor: 2.891

  6 in total

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