Durable and Fatigue-Resistant Soft Peripheral Neuroprosthetics for In Vivo Bidirectional Signaling
- Authors
- Seo, H.[Seo, H.]; Han, S.I.[Han, S.I.]; Song, K.-I.[Song, K.-I.]; HWAN, S. D.[HWAN, SEONG DU]; Lee, K.[Lee, K.]; Kim, S.H.[Kim, S.H.]; Park, T.[Park, T.]; Koo, J.H.[Koo, J.H.]; Shin, M.[Shin, M.]; Baac, H.W.[Baac, H.W.]; Park, O.K.[Park, O.K.]; Oh, S.J.[Oh, S.J.]; Han, H.-S.[Han, H.-S.]; Jeon, H.[Jeon, H.]; Kim, Y.-C.[Kim, Y.-C.]; Kim, D.-H.[Kim, D.-H.]; Hyeon, T.[Hyeon, T.]; Son, D.[Son, D.]
- Issue Date
- May-2021
- Publisher
- John Wiley and Sons Inc
- Keywords
- conducting nanocomposites; fatigue-resistant nanocomposites; in vivo bidirectional signaling; soft peripheral neuroprosthetics
- Citation
- Advanced Materials, v.33, no.20
- Indexed
- SCIE
SCOPUS
- Journal Title
- Advanced Materials
- Volume
- 33
- Number
- 20
- URI
- https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/1539
- DOI
- 10.1002/adma.202007346
- ISSN
- 0935-9648
- 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. © 2021 Wiley-VCH GmbH
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