High-Porosity Sieve-Type Neural Electrodes for Motor Function Recovery and Nerve Signal Acquisition

Authors
Choi, WonsukPark, HyungdalOh, SeonghwanSeok, SeonhoYoon, Dae SungKim, Jinseok
Issue Date
2024-07
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Micromachines, v.15, no.7
Abstract
In this study, the effects of electrode porosity on nerve regeneration and functional recovery after sciatic nerve transection in rats was investigated. A sieve-type neural electrode with 70% porosity was designed and compared with an electrode with 30% porosity. Electrodes were fabricated from photosensitive polyimide and implanted into the transected sciatic nerves. Motor function recovery was evaluated using the Sciatic Function Index. The number of active channels and their signal quality were recorded and analyzed to assess the sensory neural signal acquisition. Electrical impedance spectroscopy was used to evaluate the electrode performance. The group implanted with the 70% porosity electrode demonstrated significantly enhanced nerve regeneration and motor function recovery, approaching control group levels by the fifth week. In contrast, the group with the 30% porosity electrode exhibited limited improvement. Immunohistochemical analysis confirmed extensive nerve fiber growth within the 70% porous structure. Moreover, the 70% porosity electrode consistently acquired neural signals from more channels compared to the 30% porosity electrode, demonstrating its superior performance in sensory signal detection. These findings emphasize the importance of optimizing electrode porosity in the development of advanced neural interfaces, with the potential to enhance clinical outcomes in peripheral nerve repair and neuroprosthetic applications.
Keywords
SELECTIVE ACTIVATION; PERIPHERAL-NERVES; FEMORAL NERVE; INTERFACE; STIMULATION; SYSTEM; FABRICATION; PROSTHESES; DEVICES; DESIGN; sieve-type neural electrode; nerve regeneration; motor function recovery; electrode porosity; neural signal acquisition; Sciatic Function Index (SFI)
URI
https://pubs.kist.re.kr/handle/201004/150390
DOI
10.3390/mi15070862
Appears in Collections:
KIST Article > 2024
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