Literature DB >> 25570001

Printable and transparent micro-electrocorticography (μECoG) for optogenetic applications.

Thaninamon Kimtan, Jiyaporn Thupmongkol, Justin C Williams, Sanitta Thongpang.   

Abstract

Micro-electrocorticography (μECoG) displays advantages over traditional invasive methods. The μECoG electrode can record neural activity with high spatial-temporal resolution and it can reduce implantation side effects (e.g. vascular and local-neuronal damage, tissue encapsulation, infection). In this study, we propose a printable transparent μECoG electrode for optogenetic applications by using ultrasonic microfluid printing technique. The device is based on poly(3,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT: PSS) as a conductive polymer, polydimethylsiloxane (PDMS) as an insulating polymer and poly(chloro-para-xylylene) (Parylene-C) as the device substrate. We focus on ultrasonic microfluid printing due to its low production cost, excellent material handling capability, and its customizable film thickness (down to 5-20 microns). The ultrasonic fluid-printed μECoG displays high spatial resolution and records simulated signal (0-200 Hz sine wave) effectively with low electrode impedance (50-200 kOhms@1kHz). The μECoG also shows good biocompatibility suitable for customizable chronic implants. This new neural interfacing device could be combined with optogenetics and Brain-Computer Interface (BCI) applications for a possible future use in neurological disease diagnosis and rehabilitations.

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Year:  2014        PMID: 25570001     DOI: 10.1109/EMBC.2014.6943633

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  An Inkjet Printed Flexible Electrocorticography (ECoG) Microelectrode Array on a Thin Parylene-C Film.

Authors:  Yoontae Kim; Stella Alimperti; Paul Choi; Moses Noh
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.576

Review 2.  Printed Circuit Boards: The Layers' Functions for Electronic and Biomedical Engineering.

Authors:  Francisco Perdigones; José Manuel Quero
Journal:  Micromachines (Basel)       Date:  2022-03-17       Impact factor: 2.891

  2 in total

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