Evidence map›Paper›PMID 41064930›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Thermally Drawn Multifunctional All-Hydrogel Fibers for Anti-Fibrotic and Multimodal Neural Interfaces.

Changhoon Sung, Kum Seok Nam, Yeji Kim, Honey Kang, Kanghyeon Kim, Chanwoong Yoon, Somin Lee, Ain Chung, Jiheong Kang, Young-Gyun Park and 4 more

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

14 authors.

Changhoon SungMedical Research Center, Seoul National University, Seoul, 03080, Republic of Korea.
Kum Seok NamDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Yeji KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Honey KangDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, 03080, Republic of Korea.
Kanghyeon KimDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Chanwoong YoonProgram of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Somin LeeProgram of Brain and Cognitive Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Ain ChungDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Jiheong KangDepartment of Chemistry, Seoul National University, Seoul, 03080, Republic of Korea.
Young-Gyun ParkDepartment of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Alan Jung ParkDepartment of Biomedical Sciences, College of Medicine, Seoul National University, Seoul, 03080, Republic of Korea.
Haider ButtDepartment of Mechanical and Nuclear Engineering, Khalifa University of Science and Technology, Abu Dhabi, 127788, UAE.
Hyunwoo YukDepartment of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, Republic of Korea.
Seongjun ParkMedical Research Center, Seoul National University, Seoul, 03080, Republic of Korea.ORCID 0000-0002-1981-9628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogels have emerged as promising materials for anti-fibrotic neural interfaces due to their mechanical and chemical similarity to biological tissue. However, their use in multimodal platforms remains limited, owing to fabrication challenges in microstructuring multiple functional hydrogels into compact architectures. Here, a hydrogel thermal drawing process (HG-TDP) is presented that enables the co-fabrication of multiple thermoplastically deformable hydrogels into a single, compact, and multifunctional fiber. By optimizing key process parameters, all-hydrogel neural interfaces are developed that minimize gliosis through tissue-like mechanical compliance and enable post-implantation anti-inflammatory drug delivery via the hydrogel-based matrix. These fibers feature the compact integration of diverse hydrogel components, including a step-index optical waveguide, an electrically conductive hydrogel electrode, and a hydrogel-based microfluidic channel within a unified fiber structure. This integration enables multimodal neural interfacing, as demonstrated by high-quality neural signal recording, optogenetic stimulation, and localized chemical modulation of neural circuits. This work offers a scalable route toward compact, fully hydrogel-based neural interfaces that combine multimodal functionality with tissue-friendly, anti-fibrotic properties.

Indexed as

HydrogelsTemperatureAnimalsFibrosisMiceNeuronsOptogeneticsHydrogelsfibershydrogelsimplantable bioelectronicsmultimodalneural interfaces

Identifiers

PMID41064930
PMCPMC12902630

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Registered trials

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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.