Evidence map›Paper›PMID 42168163›Full record

ArticleMicrosystems & nanoengineering2026

Multilayered microelectrode array for monitoring electrophysiological signals of 3d neural networks in cerebral organoid.

Namyun Kim, Minjin Kang, Joonhwan Ji, Hyelim Kim, Hong Nam Kim, Nakwon Choi, Yi Jae Lee

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Namyun KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Minjin KangInstitute of Human Genetics, College of Medicine, Korea University, Seoul, 02841, Republic of Korea.
Joonhwan JiKU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea.
Hyelim KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Hong Nam KimBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.ORCID http://orcid.org/0000-0002-0329-0029
Nakwon ChoiInstitute of Human Genetics, College of Medicine, Korea University, Seoul, 02841, Republic of Korea. nakwonchoi@korea.ac.kr.ORCID http://orcid.org/0000-0003-2993-9233
Yi Jae LeeBrain Science Institute, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea. yijaelee@kist.re.kr.ORCID http://orcid.org/0000-0002-2339-7026

Funding

National Research Foundation of Korea (NRF) 2022R1A6A3A01085962
6 · The paper itself

Abstract

Microelectrode arrays (MEAs) are widely used platforms for monitoring neuronal activity in biological systems. The advent of brain organoid technology-three-dimensional (3D) neural tissue models derived from human stem cells-has opened unprecedented opportunities to study network connectivity and developmental processes of brain-like tissues in vitro. However, most commercial MEAs are restricted to planar, two-dimensional configurations, limiting recordings to a single surface and failing to capture the multilayered architecture of organoids. To overcome this limitation, we develop a multilayered MEA (MLMEA) capable of interfacing with multiple depths within brain organoids. The MLMEA features customizable interlayer spacing achieved through the stacking of mesh-type electrode layers separated by mechanically compliant PDMS spacers. This design allows simultaneous, spatially resolved electrophysiological recordings across layers along the vertical axis, enabling detailed characterization of interlayer connectivity and network dynamics. Noninvasive integration of the MLMEA with cerebral organoid sustained for over four weeks demonstrates the stable, increasing neural activities with layer-specific electrophysiological metrics. Our findings demonstrate that MLMEA can reliably capture heterogeneous, depth-dependent neuronal activity, establishing it as a powerful tool for advancing 3D organoid-based neuroscience research and high-content drug screening.

Identifiers

PMID42168163
PMCPMC13194713

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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.