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Polymer-based interconnection cables to integrate with flexible penetrating microelectrode arrays

Title
Polymer-based interconnection cables to integrate with flexible penetrating microelectrode arrays
Author(s)
Oh, KeonghwanByun, DonghakKim, So Hee
DGIST Authors
Kim, So Hee
Issued Date
2017-12
Type
Article
Article Type
Article
Subject
CablesDurabilityElectrochemical Impedance Spectroscopy (EIS)Electrochemical PhenomenaElectrodesEquivalent Circuit ModelEquivalent CircuitsFlat CablesFlexible Penetrating Microelectrode Array (FPMA)Integrated Circuit InterconnectsInterconnection CableInterconnection MethodMicroelectrode ArrayMicroelectrodesNeural InterfaceNeural InterfacesNeural Signal RecordingParylene CPhosphate Buffered Saline SolutionsPolyimidePolyimidesPolymeric ImplantsWire
ISSN
1387-2176
Abstract
There have been various types of interconnection methods for neural interfacing electrodes, such as silicon ribbon cables, wire bonding and polymer-based cables. In this study, interconnection cables were developed for integration with a Flexible Penetrating Microelectrode Array (FPMA) that was previously developed for neural signal recording or stimulation. Polyimide and parylene C were selected as base materials for the interconnection cables as both materials can preserve the flexibility of the FPMA better than other interconnection methods such as silicon ribbon cable or wire bonding. We conducted durability tests to determine if the interconnection cables were suitable for in-vivo implantation, by long-term soaking of the cables in phosphate buffered saline solution. We measured the changes in impedance over time, and equivalent circuit models were used to analyze the electrochemical phenomena on the surface of the cables. Lastly, we implanted the cable-integrated electrodes device onto rabbit’s sciatic nerve and recorded neural signals to prove the feasibility of the developed FPMA integration system. © 2017, Springer Science+Business Media, LLC.
URI
http://hdl.handle.net/20.500.11750/4435
DOI
10.1007/s10544-017-0217-9
Publisher
Springer New York LLC
Related Researcher
  • 김소희 Kim, Sohee 로봇및기계전자공학과
  • Research Interests Neural interface; Brain interface; Bio MEMS; Soft MEMS; Stretchable electronics; Zebrafish electrophysiology
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Appears in Collections:
Department of Robotics and Mechatronics Engineering Neural Interfaces & MicroSystems Lab 1. Journal Articles

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