Evidence map›Paper›PMID 18516277›Full record

ArticlePLoS computational biology2008

Astrocytes optimize the synaptic transmission of information.

Suhita Nadkarni, Peter Jung, Herbert Levine

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Neuron-Glia Interactions and Brain Circuits.Advances in experimental medicine and biology · 2022
    Article
  7. Article
  8. Article
  9. Computational Models for Calcium-Mediated Astrocyte Functions.Frontiers in computational neuroscience · 2018
    Review
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Neuron-glia networks: integral gear of brain function.Frontiers in cellular neuroscience · 2014
    Review
  16. Neuromodulatory systems.Frontiers in neural circuits · 2013
    Review
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

3 authors.

Suhita NadkarniCenter of Theoretical Biological Physics, University of California San Diego, La Jolla, California, United States of America.
Peter Jung
Herbert Levine

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical synapses transmit information via the release of neurotransmitter-filled vesicles from the presynaptic terminal. Using computational modeling, we predict that the limited availability of neurotransmitter resources in combination with the spontaneous release of vesicles limits the maximum degree of enhancement of synaptic transmission. This gives rise to an optimal tuning that depends on the number of active zones. There is strong experimental evidence that astrocytes that enwrap synapses can modulate the probabilities of vesicle release through bidirectional signaling and hence regulate synaptic transmission. For low-fidelity hippocampal synapses, which typically have only one or two active zones, the predicted optimal values lie close to those determined by experimentally measured astrocytic feedback, suggesting that astrocytes optimize synaptic transmission of information.

Indexed as

Models, NeurologicalAnimalsAstrocytesCalcium SignalingComputer SimulationHippocampusHumansNerve NetNeuronsSynaptic Transmission

Identifiers

PMID18516277
PMCPMC2390854

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.