Evidence map›Paper›PMID 28749937›Full record

ArticlePLoS computational biology2017

Recurrently connected and localized neuronal communities initiate coordinated spontaneous activity in neuronal networks.

Davide Lonardoni, Hayder Amin, Stefano Di Marco, Alessandro Maccione, Luca Berdondini, Thierry Nieus

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Firing rate distributions in plastic networks of spiking neurons.Network neuroscience (Cambridge, Mass.) · 2025
    Article
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  8. Structural Modularity Tunes Mesoscale Criticality in Biological Neuronal Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Regional NeurodegenerationFrontiers in computational neuroscience · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
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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.

Davide LonardoniNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.ORCID http://orcid.org/0000-0001-7863-9355
Hayder AminNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.
Stefano Di MarcoNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.ORCID http://orcid.org/0000-0003-4847-6270
Alessandro MaccioneNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.
Luca BerdondiniNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.ORCID http://orcid.org/0000-0001-9521-2812
Thierry NieusNeuroscience and Brain Technologies Dept., Fondazione Istituto Italiano di Tecnologia, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing neuronal systems intrinsically generate coordinated spontaneous activity that propagates by involving a large number of synchronously firing neurons. In vivo, waves of spikes transiently characterize the activity of developing brain circuits and are fundamental for activity-dependent circuit formation. In vitro, coordinated spontaneous spiking activity, or network bursts (NBs), interleaved within periods of asynchronous spikes emerge during the development of 2D and 3D neuronal cultures. Several studies have investigated this type of activity and its dynamics, but how a neuronal system generates these coordinated events remains unclear. Here, we investigate at a cellular level the generation of network bursts in spontaneously active neuronal cultures by exploiting high-resolution multielectrode array recordings and computational network modelling. Our analysis reveals that NBs are generated in specialized regions of the network (functional neuronal communities) that feature neuronal links with high cross-correlation peak values, sub-millisecond lags and that share very similar structural connectivity motifs providing recurrent interactions. We show that the particular properties of these local structures enable locally amplifying spontaneous asynchronous spikes and that this mechanism can lead to the initiation of NBs. Through the analysis of simulated and experimental data, we also show that AMPA currents drive the coordinated activity, while NMDA and GABA currents are only involved in shaping the dynamics of NBs. Overall, our results suggest that the presence of functional neuronal communities with recurrent local connections allows a neuronal system to generate spontaneous coordinated spiking activity events. As suggested by the rules used for implementing our computational model, such functional communities might naturally emerge during network development by following simple constraints on distance-based connectivity.

Indexed as

Models, NeurologicalAction PotentialsAnimalsCells, CulturedComputational BiologyHippocampusNerve NetNeuronsRats

Identifiers

PMID28749937
PMCPMC5549760

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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.