DataVXAdvanced MaterialsPaper
journal article·2021-05

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

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

Advanced Materials· Volume 33· Issue 20
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Source abstract

Abstract

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.
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Research context

PolymersNanomaterialsBiomaterials

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Neuroscience and Neural Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Medicine Sungkyunkwan University Suwon 16419 Republic of Korea

Center for Biomaterials Biomedical Research Institute Korea Institute of Science and Technology Seoul 02792 Republic of Korea

Center for Nanoparticle Research Institute of Basic Science (IBS) Seoul 08826 Republic of Korea

School of Chemical and Biological Engineering Seoul National University Seoul 08826 Republic of Korea

Medical Device Development Center Daegu‐Gyeongbuk Medical Innovation Foundation Daegu 41061 Republic of Korea

Department of Electrical and Computer Engineering Sungkyunkwan University Suwon 16419 Republic of Korea

Department of Electrical and Computer Engineering Inter‐University Semiconductor Research Center Seoul National University Seoul 08826 Republic of Korea

Department of Materials Science and Engineering Korea University Seoul 02841 Republic of Korea

Interdisciplinary Program for Bioengineering Seoul National University Seoul 08826 Republic of Korea

Department of Biomedical Engineering SKKU Institute for Convergence Sungkyunkwan University Suwon 16419 Republic of Korea

Center for Neuroscience Imaging Research Institute for Basic Science (IBS) Suwon 16419 Republic of Korea

Department of Superintelligence Engineering Sungkyunkwan University Suwon 16419 Republic of Korea

Funding

National Research Foundation of Korea · Institute for Basic Science · Ministry of Food and Drug Safety

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