Evidence map›Paper›PMID 24795613›Full record

ArticleFrontiers in computational neuroscience2014

Sparse short-distance connections enhance calcium wave propagation in a 3D model of astrocyte networks.

Jules Lallouette, Maurizio De Pittà, Eshel Ben-Jacob, Hugues Berry

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Context-Dependent modulation of astrocytic CaJournal of computational neuroscience · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Neuron-Glia Interactions and Brain Circuits.Advances in experimental medicine and biology · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Generating Brain Waves, the Power of Astrocytes.Frontiers in neuroscience · 2019
    Review
  15. Computational Models for Calcium-Mediated Astrocyte Functions.Frontiers in computational neuroscience · 2018
    Review
  16. Article
  17. Article
  18. 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

4 authors.

Jules LallouetteEPI Beagle, INRIA Rhône-Alpes Villeurbanne, France ; LIRIS, UMR 5205 CNRS-INSA, Université de Lyon Villeurbanne, France.
Maurizio De PittàEPI Beagle, INRIA Rhône-Alpes Villeurbanne, France ; LIRIS, UMR 5205 CNRS-INSA, Université de Lyon Villeurbanne, France ; School of Physics and Astronomy, Tel Aviv University Ramat Aviv, Israel.
Eshel Ben-JacobSchool of Physics and Astronomy, Tel Aviv University Ramat Aviv, Israel ; Center for Theoretical Biological Physics, Rice University Houston, TX, USA.
Hugues BerryEPI Beagle, INRIA Rhône-Alpes Villeurbanne, France ; LIRIS, UMR 5205 CNRS-INSA, Université de Lyon Villeurbanne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, astrocytes have been considered to couple via gap-junctions into a syncytium with only rudimentary spatial organization. However, this view is challenged by growing experimental evidence that astrocytes organize as a proper gap-junction mediated network with more complex region-dependent properties. On the other hand, the propagation range of intercellular calcium waves (ICW) within astrocyte populations is as well highly variable, depending on the brain region considered. This suggests that the variability of the topology of gap-junction couplings could play a role in the variability of the ICW propagation range. Since this hypothesis is very difficult to investigate with current experimental approaches, we explore it here using a biophysically realistic model of three-dimensional astrocyte networks in which we varied the topology of the astrocyte network, while keeping intracellular properties and spatial cell distribution and density constant. Computer simulations of the model suggest that changing the topology of the network is indeed sufficient to reproduce the distinct ranges of ICW propagation reported experimentally. Unexpectedly, our simulations also predict that sparse connectivity and restriction of gap-junction couplings to short distances should favor propagation while long-distance or dense connectivity should impair it. Altogether, our results provide support to recent experimental findings that point toward a significant functional role of the organization of gap-junction couplings into proper astroglial networks. Dynamic control of this topology by neurons and signaling molecules could thus constitute a new type of regulation of neuron-glia and glia-glia interactions.

Indexed as

astrocytesgap-junctionsglial cellsnetwork topologywave propagation

Identifiers

PMID24795613
PMCPMC3997029

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Registered trials

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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.