Evidence map›Paper›PMID 35708741›Full record

ArticleeLife2022

Self-organization of in vitro neuronal assemblies drives to complex network topology.

Priscila C Antonello, Thomas F Varley, John Beggs, Marimélia Porcionatto, Olaf Sporns, Jean Faber

Open access · goldAbstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

24 citing papers in PubMed, 51 citations in OpenAlex.

  1. The tyrosine phosphatase STEP is a developmental suppressor of synaptogenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  10. Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025
    Review
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  15. Review
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  17. Article
  18. Tuning Criticality through Modularity in Biological Neural Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Priscila C AntonelloDepartment of Biochemistry - Escola Paulista de Medicina - Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.ORCID 0000-0002-0624-1169
Thomas F VarleyDepartment of Psychological and Brain Sciences, Indiana University, Bloomington, United States.ORCID 0000-0002-3317-9882
John BeggsDepartment of Physics, Indiana University, Bloomington, United States.
Marimélia PorcionattoDepartment of Biochemistry - Escola Paulista de Medicina - Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.
Olaf Sporns *Department of Psychological and Brain Sciences, Indiana University, Bloomington, United States.
Jean Faber *Department of Neurology and Neurosurgery - Escola Paulista de Medicina - Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil.ORCID 0000-0002-2129-8251
Indiana University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Activity-dependent self-organization plays an important role in the formation of specific and stereotyped connectivity patterns in neural circuits. By combining neuronal cultures, and tools with approaches from network neuroscience and information theory, we can study how complex network topology emerges from local neuronal interactions. We constructed effective connectivity networks using a transfer entropy analysis of spike trains recorded from rat embryo dissociated hippocampal neuron cultures between 6 and 35 days in vitro to investigate how the topology evolves during maturation. The methodology for constructing the networks considered the synapse delay and addressed the influence of firing rate and population bursts as well as spurious effects on the inference of connections. We found that the number of links in the networks grew over the course of development, shifting from a segregated to a more integrated architecture. As part of this progression, three significant aspects of complex network topology emerged. In agreement with previous in silico and in vitro studies, a small-world architecture was detected, largely due to strong clustering among neurons. Additionally, the networks developed in a modular topology, with most modules comprising nearby neurons. Finally, highly active neurons acquired topological characteristics that made them important nodes to the network and integrators of modules. These findings leverage new insights into how neuronal effective network topology relates to neuronal assembly self-organization mechanisms.

Indexed as

Nerve NetNeuronsAnimalsEntropyHippocampusRatsSynapseseffective connectivitynetwork neuroscienceneuronal networksneurosciencerat

Identifiers

PMID35708741
PMCPMC9203058
OpenAlexW4282933858

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.