Evidence map›Paper›PMID 41168176›Full record

ArticleMicrosystems & nanoengineering2025

Microtube-integrated chips for modular electrical stimulation and 3D confined neural network growth.

Ye Qiu, Xiaoduo Wang, Haibo Yu, Jianchen Zheng, Jingang Wang, Lianqing Liu, Wen Jung Li

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. 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.

Ye QiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.ORCID http://orcid.org/0000-0002-2306-7342
Xiaoduo WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Haibo YuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China. yuhaibo@sia.cn.
Jianchen ZhengState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Jingang WangState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Lianqing LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.
Wen Jung LiState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China. wenjli@cityu.edu.hk.ORCID http://orcid.org/0000-0001-9616-6213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In vitro neural networks offer a simplified model to study brain nervous system functions and represent a vital platform for investigating cerebral neural activities. Microelectrode array (MEA) chips are commonly used to construct modular neural networks and enable electrical stimulation and recording for uncovering signal generation and conduction mechanisms. However, conventional two-dimensional (2D) MEA chips face significant limitations, including restricted neuronal growth dimensions and insufficient neuron density. Herein, we present a novel micro-integrated chip featuring a three-dimensional (3D) physical microtube array that facilitates the regulated, confined growth of neurons. The microtube array not only provides a 3D microenvironment for neuronal growth and differentiation but also enhances neuronal network density and structural organization. Furthermore, by integrating the microtube array with a customized MEA, precise electrical stimulation can be applied to modular neural networks. Experimental results demonstrate that electrical stimulation effectively promotes the formation of connection pathways between adjacent 3D neural networks. Variable-parameter electrical stimulation experiments reveal that increasing voltage enhances the Young's modulus of neurons, highlighting the method's role in supporting the stable development of neuronal networks. This modular culture platform, combined with precise electrical stimulation, paves the way for constructing high-density 3D neuronal networks and enables synchronous control of modular neural activities. The proposed approach holds significant potential for advancing applications in neuroscience, tissue engineering, and organ-on-chip technologies.

Identifiers

PMID41168176
PMCPMC12575633

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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.