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A fully transparent, flexible PEDOT:PSS–ITO–Ag–ITO based microelectrode array for ECoG recording.

Authors :
Yang, Weiyang
Gong, Yan
Yao, Cheng-You
Shrestha, Maheshwar
Jia, Yaoyao
Qiu, Zhen
Fan, Qi Hua
Weber, Arthur
Li, Wen
Source :
Lab on a Chip. 3/21/2021, Vol. 21 Issue 6, p1096-1108. 13p.
Publication Year :
2021

Abstract

Integrative neural interfaces combining neurophysiology and optogenetics with neural imaging provide numerous opportunities for neuroscientists to study the structure and function of neural circuits in the brain. Such a comprehensive interface demands miniature electrode arrays with high transparency, mechanical flexibility, electrical conductivity, and biocompatibility. Conventional transparent microelectrodes made of a single material, such as indium tin oxide (ITO), ultrathin metals, graphene and poly-(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS), hardly possess the desired combination of those properties. Herein, ultra-flexible, highly conductive and fully transparent microscale electrocorticogram (μECoG) electrode arrays made of a PEDOT:PSS–ITO–Ag–ITO assembly are constructed on thin parylene C films. The PEDOT:PSS–ITO–Ag–ITO assembly achieves a maximum ∼14% enhancement in light transmission over a broad spectrum (350–650 nm), a significant reduction in electrochemical impedance by 91.25%, and an increase in charge storage capacitance by 1229.78 μC cm−2. Peeling, bending, and Young's modulus tests verify the enhanced mechanical flexibility and robustness of the multilayer assembly. The μECoG electrodes enable electrical recordings with high signal-to-noise ratios (SNRs) (∼35–36 dB) under different color photostimulations, suggesting that the electrodes are resilient to photon-induced artifacts. In vivo animal experiments confirm that our array can successfully record light-evoked ECoG oscillations from the primary visual cortex (V1) of an anesthetized rat. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14730197
Volume :
21
Issue :
6
Database :
Academic Search Index
Journal :
Lab on a Chip
Publication Type :
Academic Journal
Accession number :
149454280
Full Text :
https://doi.org/10.1039/d0lc01123a