Evidence map›Paper›PMID 41137417›Full record

ArticleAdvanced healthcare materials2025

Engineering Cortical Networks: An Open Platform for Controlled Human Circuit Formation and Synaptic Analysis In Vitro.

Pacharaporn Suklai, Taylor Minckley, Cathleen Hagemann, Karolina Faber, Rosalind Norkett, Ludovica Guetta, Kelly O'Toole, Bethany Geary, Michael J Devine, Andrea Serio

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced healthcare materials, 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.

Pacharaporn SuklaiDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
Taylor MinckleyDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
Cathleen HagemannDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
Karolina FaberMedical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Rosalind NorkettThe Francis Crick Institute, London, NW1 1AT, UK.
Ludovica GuettaDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
Kelly O'TooleDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.
Bethany GearyMedical Research Council (MRC) Protein Phosphorylation and Ubiquitylation Unit, School of Life Sciences, University of Dundee, Dundee, DD1 5EH, UK.
Michael J DevineThe Francis Crick Institute, London, NW1 1AT, UK.
Andrea SerioDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, London, SE5 9RX, UK.ORCID 0000-0002-7271-1878

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal circuits are organized by specific connections between neuron types across various brain regions. Understanding how these circuits form is crucial for uncovering the mechanisms behind circuit-related dysfunction in brain diseases. Human-induced pluripotent stem cell (iPSC) models enable the study of the molecular and cellular processes underlying neuronal networks, but their lack of precise architecture limits the investigation of specific neuronal interactions and activity-dependent processes. Microfluidic technologies offer structural control but are confined by closed systems that restrict 3D network integration, scalability, and cell retrieval. To overcome these challenges, we developed an open cortical network platform that integrates iPSC-derived cortical neurons with bioengineering techniques. Using a polydimethylsiloxane-based microgroove topography and a cell plating guide, we created "neuronal nodes" that facilitate flexible circuit construction in an open system. This design allows optogenetic control of neural activity and flexible network modifications, including cellular composition, neurite directionality, and synapse formation. The open, large-scale design allows neuronal material retrieval, supporting multi-level analyses of cortical circuits, such as proteomics. This platform represents a valuable tool for investigating neuronal network development and function, providing opportunities for study into both normal and pathological states, including molecular changes associated with connectivity loss in brain diseases.

Indexed as

Cerebral CortexInduced Pluripotent Stem CellsNerve NetNeuronsSynapsesTissue EngineeringHumansbioengineeringin vitro modellingneural circuitssynapses

Identifiers

PMID41137417
PMCPMC12683197

What OpenQuestion holds

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LicenceCC BY
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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.