Evidence map›Paper›PMID 41139300›Full record

ArticleACS nano2025

Reproducible Human Neural Circuits Printed with Single-Cell Precision Reveal the Functional Roles of Ephaptic Coupling.

Johannes Striebel, Rouhollah Habibey, Daniel Wendland, Helge Gehring, Elizaveta Podoliak, Julia S Pawlick, Kritika Sharma, Alex H M Ng, Wolfram Pernice, Volker Busskamp

Abstract read
In one paragraph

Article in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Johannes StriebelFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.ORCID 0000-0001-8954-7026
Rouhollah HabibeyFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.
Daniel WendlandInstitute of Physics and Center for Nanotechnology, University of Münster, Heisenbergstraße 1148149 Münster, Germany.ORCID 0000-0002-4873-5183
Helge GehringInstitute of Physics and Center for Nanotechnology, University of Münster, Heisenbergstraße 1148149 Münster, Germany.ORCID 0000-0002-3034-3528
Elizaveta PodoliakFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.
Julia S PawlickFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.ORCID 0000-0003-2878-2609
Kritika SharmaFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.
Alex H M NgDepartment of Genetics, Blavatnik Institute, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, Massachusetts 02115, United States.
Wolfram PerniceInstitute of Physics and Center for Nanotechnology, University of Münster, Heisenbergstraße 1148149 Münster, Germany.ORCID 0000-0003-4569-4213
Volker BusskampFaculty of Medicine, Department of Ophthalmology, University of Bonn, Ernst-Abbe-Str. 2 53127 Bonn, Germany.ORCID 0000-0001-7517-8944

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although in vitro neuronal models are accessible and versatile systems for functional electrophysiological studies, the spontaneous and random formation of neural circuits often compromises the structural control and reproducibility. Here, we introduce a robust method for engineering human neuronal networks in vitro with single-cell precision and reproducibility. Our integrated platform combines direct laser-written microstructure templates and soft lithography-based fabrication of microscaffolds with functional multielectrode array recordings. This system enables high-throughput production of diverse circuit designs and allows for the exact placement of neurons within confined microenvironments. The system enables precise recording of spontaneous neuronal activity, as well as electrical and optogenetic stimulations. Using this approach, we constructed reproducible, bottom-up neuronal circuits composed of a defined number of human neurons. As a proof of principle, we employed these circuits to investigate ephaptic coupling, which refers to the modulation of neuronal activity by endogenous electric fields. Although it is believed to play a role in neural computations and cardiac conduction and is associated with epilepsy and arrhythmia, its mechanisms are unclear due to limitations in experimental models, both in vivo and in vitro. By controlling axonal proximity within microchannels and the number of neurons in the engineered circuits, we can quantify ephaptic coupling at different strengths, which validates theoretical predictions, including reduced action potential velocity, increased activity synchronization, and lower stimulation thresholds. Furthermore, the platform has broad potential for studying synaptic and nonsynaptic interactions, myelination processes, advancing disease modeling, and fundamental neuroscience research.

Indexed as

Nerve NetNeuronsSingle-Cell AnalysisHumansOptogeneticsdirect laser writingephaptic couplingin vitro stem cell-derived neuronal networksmicroelectrode arraymicroscaffoldsreproducible neuronal network formationsingle-cell resolution

Identifiers

PMID41139300
PMCPMC12613839

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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.