Evidence map›Paper›PMID 40016200›Full record

ArticleNature communications2025

Magnetically reshapable 3D multi-electrode arrays of liquid metals for electrophysiological analysis of brain organoids.

Enji Kim, Eunseon Jeong, Yeon-Mi Hong, Inhea Jeong, Junghoon Kim, Yong Won Kwon, Young-Geun Park, Jiin Lee, Suah Choi, Ju-Young Kim and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Liquid Metals for Reconfigurable Bioelectronics.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  16. Article
  17. Review
  18. Organoid Brain-Machine-Interface Devices for Central Nervous System Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  19. Review
  20. 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

13 authors.

Enji Kim *Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0002-4934-8951
Eunseon Jeong *Department of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0003-0513-8693
Yeon-Mi Hong *Department of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Inhea JeongDepartment of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0003-2226-4755
Junghoon KimCenter for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea.
Yong Won KwonDepartment of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Young-Geun ParkDepartment of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0003-1579-0220
Jiin LeeDepartment of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Suah ChoiDepartment of Biotechnology, Yonsei University, Seoul, 03722, Republic of Korea.
Ju-Young KimCenter for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea.ORCID http://orcid.org/0000-0001-5807-7017
Jae-Hyun LeeCenter for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea. jhyun_lee@yonsei.ac.kr.ORCID http://orcid.org/0000-0002-9236-157X
Seung-Woo ChoCenter for Nanomedicine, Institute for Basic Science (IBS), Yonsei University, Seoul, 03722, Republic of Korea. seungwoocho@yonsei.ac.kr.ORCID http://orcid.org/0000-0001-8058-332X
Jang-Ung ParkDepartment of Materials Science and Engineering, Yonsei University, Seoul, 03722, Republic of Korea. jang-ung@yonsei.ac.kr.ORCID http://orcid.org/0000-0003-1522-4958

Funding

National Research Foundation of Korea (NRF) RS-2024-00406240National Research Foundation of Korea (NRF) RS-2024-00460364
6 · The paper itself

Abstract

To comprehend the volumetric neural connectivity of a brain organoid, it is crucial to monitor the spatiotemporal electrophysiological signals within the organoid, known as intra-organoid signals. However, previous methods risked damaging the three-dimensional (3D) cytoarchitecture of organoids, either through sectioning or inserting rigid needle-like electrodes. Also, the limited numbers of electrodes in fixed positions with non-adjustable electrode shapes were insufficient for examining the complex neural activity throughout the organoid. Herein, we present a magnetically reshapable 3D multi-electrode array (MEA) using direct printing of liquid metals for electrophysiological analysis of brain organoids. The adaptable distribution and the softness of these printed electrodes facilitate the spatiotemporal recording of intra-organoid signals. Furthermore, the unique capability to reshape these soft electrodes within the organoid using magnetic fields allows a single electrode in the MEA to record from multiple points, effectively increasing the recording site density without the need for additional electrodes.

Indexed as

BrainElectrophysiological PhenomenaElectrophysiologyMetalsOrganoidsAnimalsElectrodesMagnetic FieldsMicePrinting, Three-DimensionalMetals

Identifiers

PMID40016200
PMCPMC11868496

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.