Evidence map›Paper›PMID 32826916›Full record

ArticleNature communications2020

Adaptive self-healing electronic epineurium for chronic bidirectional neural interfaces.

Kang-Il Song, Hyunseon Seo, Duhwan Seong, Seunghoe Kim, Ki Jun Yu, Yu-Chan Kim, Jinseok Kim, Seok Joon Kwon, Hyung-Seop Han, Inchan Youn and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 110 citations in OpenAlex.

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  12. Performance-Recoverable Closed-Loop Neuroprosthetic System.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  13. Neuromorphic chips for biomedical engineering.Mechanobiology in medicine · 2025
    Review
  14. Review
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  19. Motion artefact management for soft bioelectronics.Nature reviews bioengineering · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 5 institutions in 1 country.

Kang-Il Song *Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.ORCID http://orcid.org/0000-0003-3740-1222
Hyunseon Seo *Biomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Duhwan SeongDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Seunghoe KimBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Ki Jun YuSchool of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Yu-Chan KimBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Jinseok KimBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Seok Joon KwonNanophotonics Research Center, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Hyung-Seop HanBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea.
Inchan YounBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea. iyoun@kist.re.kr.
Hyojin LeeBiomedical Research Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea. hyojinlee@kist.re.kr.
Donghee SonDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea. daniel3600@g.skku.edu.ORCID http://orcid.org/0000-0002-3772-8009
Korea Institute of Science and Technology · KRBio-Medical Science (South Korea) · KRSungkyunkwan University · KRDaegu-Gyeongbuk Medical Innovation Foundation · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Realizing a clinical-grade electronic medicine for peripheral nerve disorders is challenging owing to the lack of rational material design that mimics the dynamic mechanical nature of peripheral nerves. Electronic medicine should be soft and stretchable, to feasibly allow autonomous mechanical nerve adaptation. Herein, we report a new type of neural interface platform, an adaptive self-healing electronic epineurium (A-SEE), which can form compressive stress-free and strain-insensitive electronics-nerve interfaces and enable facile biofluid-resistant self-locking owing to dynamic stress relaxation and water-proof self-bonding properties of intrinsically stretchable and self-healable insulating/conducting materials, respectively. Specifically, the A-SEE does not need to be sutured or glued when implanted, thereby significantly reducing complexity and the operation time of microneurosurgery. In addition, the autonomous mechanical adaptability of the A-SEE to peripheral nerves can significantly reduce the mechanical mismatch at electronics-nerve interfaces, which minimizes nerve compression-induced immune responses and device failure. Though a small amount of Ag leaked from the A-SEE is observed in vivo (17.03 ppm after 32 weeks of implantation), we successfully achieved a bidirectional neural signal recording and stimulation in a rat sciatic nerve model for 14 weeks. In view of our materials strategy and in vivo feasibility, the mechanically adaptive self-healing neural interface would be considered a new implantable platform for a wide range application of electronic medicine for neurological disorders in the human nervous system.

Indexed as

AnimalsBiomedical EngineeringCentral Nervous SystemElectronics, MedicalGoldHumansMaleMaterials TestingModels, AnimalNerve TissueNeurosurgeryPeripheral NervesPolymersProstheses and ImplantsRatsSciatic NerveGoldPolymers

Identifiers

PMID32826916
PMCPMC7442836
OpenAlexW3080891263

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.