Evidence map›Paper›PMID 40626695›Full record

ArticleeLife2025

Homophilic wiring principles underpin neuronal network topology in vitro.

Danyal Akarca, Alexander W E Dunn, Philipp J Hornauer, Silvia Ronchi, Michele Fiscella, Congwei Wang, Marco Terrigno, Ravi Jagasia, Petra E Vértes, Susanna B Mierau and 5 more

Abstract read
In one paragraph

Article in eLife, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025
    Review
  11. Article
  12. The adaptive stochasticity hypothesis: Modeling equifinality, multifinality, and adaptation to adversity.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  13. Article
  14. 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

15 authors.

Danyal Akarca *MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-5931-0295
Alexander W E Dunn *Department of Physiology Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0003-1504-499X
Philipp J HornauerDepartment of Biosystems Science and Engineering in Basel, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-2265-6679
Silvia RonchiDepartment of Biosystems Science and Engineering in Basel, ETH Zurich, Zurich, Switzerland.
Michele FiscellaDepartment of Biosystems Science and Engineering in Basel, ETH Zurich, Zurich, Switzerland.
Congwei WangNRD, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Marco TerrignoNRD, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Ravi JagasiaNRD, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Petra E VértesDepartment of Psychiatry, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-0992-3210
Susanna B MierauDepartment of Physiology Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.
Ole PaulsenDepartment of Physiology Development and Neuroscience, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0002-2258-5455
Stephen J EglenDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom.ORCID https://orcid.org/0000-0001-8607-8025
Andreas HierlemannDepartment of Biosystems Science and Engineering in Basel, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-3838-2468
Duncan E Astle *MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Manuel Schröter *Department of Biosystems Science and Engineering in Basel, ETH Zurich, Zurich, Switzerland.ORCID https://orcid.org/0000-0002-9347-9203

Funding

ETH Zurich PMB-01-18European Research Council 10.3030/694829European Research Council 10.3030/875609European Research Council 694829Medical Research Council MC-A0606-5PQ41MQ: Transforming Mental Health MQF17_24Swiss Data Science Center C18-10Swiss National Science Foundation 205320_188910/1
6 · The paper itself

Abstract

Economic efficiency has been a popular explanation for how networks self-organize within the developing nervous system. However, the precise nature of the economic negotiations governing this putative organizational principle remains unclear. Here, we address this question further by combining large-scale electrophysiological recordings to characterize the functional connectivity of developing neuronal networks in vitro, with a generative modeling approach capable of simulating network formation. We find that the best fitting model uses a homophilic generative wiring principle in which neurons form connections to other neurons which are spatially proximal and have similar connectivity patterns to themselves. Homophilic generative models outperform more canonical models in which neurons wire depending upon their spatial proximity either alone or in combination with the extent of their local connectivity. This homophily-based mechanism for neuronal network emergence accounts for a wide range of observations that are described, but not sufficiently explained, by traditional analyses of network topology. Using rodent and human neuronal cultures, we show that homophilic generative mechanisms can accurately recapitulate the topology of emerging cellular functional connectivity, representing an important wiring principle and determining factor of neuronal network formation in vitro.

Indexed as

Nerve NetNeuronsAnimalsCells, CulturedHumansModels, NeurologicalRatscomputational biologygenerative modelshigh density micro electrode arrayhumannetwork scienceneuronal developmentneuronal networksneuroscienceratsystems biology

Identifiers

PMID40626695
PMCPMC12563572

What OpenQuestion holds

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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.