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Durable and Fatigue-Resistant Soft Peripheral Neuroprosthetics for In Vivo Bidirectional Signaling

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Title
Durable and Fatigue-Resistant Soft Peripheral Neuroprosthetics for In Vivo Bidirectional Signaling
Author(s)
Hyunseon Seo; Sang Ihn Han; Kang‐Il Song; Duhwan Seong; Kyungwoo Lee; Sun Hong Kim; Taesung Park; Ja Hoon Koo; Mikyung Shin; Hyoung Won Baac; Ok Kyu Park; Soong Ju Oh; Hyung-Seop Han; Hojeong Jeon; Yu-Chan Kim; Dae-Hyeong Kim; Taeghwan Hyeon; Donghee Son
Publication Date
2021-05
Journal
ADVANCED MATERIALS, v.33, no.20
Publisher
WILEY-V C H VERLAG GMBH
Abstract
Soft neuroprosthetics that monitor signals from sensory neurons and deliver motor information can potentially replace damaged nerves. However, achieving long-term stability of devices interfacing peripheral nerves is challenging, since dynamic mechanical deformations in peripheral nerves cause material degradation in devices. Here, a durable and fatigue-resistant soft neuroprosthetic device is reported for bidirectional signaling on peripheral nerves. The neuroprosthetic device is made of a nanocomposite of gold nanoshell (AuNS)-coated silver (Ag) flakes dispersed in a tough, stretchable, and self-healing polymer (SHP). The dynamic self-healing property of the nanocomposite allows the percolation network of AuNS-coated flakes to rebuild after degradation. Therefore, its degraded electrical and mechanical performance by repetitive, irregular, and intense deformations at the device-nerve interface can be spontaneously self-recovered. When the device is implanted on a rat sciatic nerve, stable bidirectional signaling is obtained for over 5 weeks. Neural signals collected from a live walking rat using these neuroprosthetics are analyzed by a deep neural network to predict the joint position precisely. This result demonstrates that durable soft neuroprosthetics can facilitate collection and analysis of large-sized in vivo data for solving challenges in neurological disorders.
URI
https://pr.ibs.re.kr/handle/8788114/11762
DOI
10.1002/adma.202007346
ISSN
0935-9648
Appears in Collections:
Center for Nanoparticle Research(나노입자 연구단) > 1. Journal Papers (저널논문)
Center for Neuroscience Imaging Research (뇌과학 이미징 연구단) > 1. Journal Papers (저널논문)
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