Evidence map›Paper›PMID 38919012›Full record

ReviewBMB reports2024

Electrophysiological insights with brain organoid models: a brief review.

Rian Kang, Soomin Park, Saewoon Shin, Gyusoo Bak, Jong-Chan Park

Abstract readReview
In one paragraph

Review in BMB reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Rian KangInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419; Department of Metabiohealth, Sungkyunkwan University, Suwon 16419, Korea.
Soomin ParkInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419; Department of Biophysics, Sungkyunkwan University, Suwon 16419, Korea.
Saewoon ShinInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Korea.
Gyusoo BakInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419; Department of Metabiohealth, Sungkyunkwan University, Suwon 16419, Korea.
Jong-Chan ParkInstitute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419; Department of Metabiohealth, Sungkyunkwan University, Suwon 16419; Department of Biophysics, Sungkyunkwan University, Suwon 16419, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain organoid is a three-dimensional (3D) tissue derived from stem cells such as induced pluripotent stem cells (iPSCs) embryonic stem cells (ESCs) that reflect real human brain structure. It replicates the complexity and development of the human brain, enabling studies of the human brain in vitro. With emerging technologies, its application is various, including disease modeling and drug screening. A variety of experimental methods have been used to study structural and molecular characteristics of brain organoids. However, electrophysiological analysis is necessary to understand their functional characteristics and complexity. Although electrophysiological approaches have rapidly advanced for monolayered cells, there are some limitations in studying electrophysiological and neural network characteristics due to the lack of 3D characteristics. Herein, electrophysiological measurement and analytical methods related to neural complexity and 3D characteristics of brain organoids are reviewed. Overall, electrophysiological understanding of brain organoids allows us to overcome limitations of monolayer in vitro cell culture models, providing deep insights into the neural network complex of the real human brain and new ways of disease modeling. [BMB Reports 2024; 57(7): 311-317].

Indexed as

BrainInduced Pluripotent Stem CellsOrganoidsCell Culture TechniquesElectrophysiological PhenomenaHumans

Identifiers

PMID38919012
PMCPMC11289503

What OpenQuestion holds

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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.