Evidence map›Paper›PMID 24367330›Full record

ReviewFrontiers in synaptic neuroscience2013

Target-cell-specific short-term plasticity in local circuits.

Arne V Blackman, Therese Abrahamsson, Rui Ponte Costa, Txomin Lalanne, P Jesper Sjöström

Abstract readReview
In one paragraph

Review in Frontiers in synaptic neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Article
  3. Editorial: The diversity of the plasticitome.Frontiers in synaptic neuroscience · 2026
    Article
  4. Cell Type-Dependent Short-Term Plasticity and Dopaminergic Modulation of Sensory Synapses onto Mouse Superficial Dorsal Horn Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. The short-term plasticity of VIP interneurons in motor cortex.Frontiers in synaptic neuroscience · 2024
    Article
  14. Altered Thalamocortical Signaling in a Mouse Model of Parkinson's Disease.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Predictable Fluctuations in Excitatory Synaptic Strength Due to Natural Variation in Presynaptic Firing Rate.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    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

5 authors.

Arne V BlackmanDepartment of Neuroscience, Physiology and Pharmacology, University College London London, UK.
Therese AbrahamssonDepartment of Neurology and Neurosurgery, Centre for Research in Neuroscience, The Research Institute of the McGill University Health Centre, Montreal General Hospital Montreal, QC, Canada.
Rui Ponte CostaNeuroinformatics Doctoral Training Centre, School of Informatics, Institute for Adaptive and Neural Computation, University of Edinburgh Edinburgh, UK.
Txomin LalanneDepartment of Neurology and Neurosurgery, Centre for Research in Neuroscience, The Research Institute of the McGill University Health Centre, Montreal General Hospital Montreal, QC, Canada ; Integrated Program in Neuroscience, McGill University Montreal, QC, Canada.
P Jesper SjöströmDepartment of Neuroscience, Physiology and Pharmacology, University College London London, UK ; Department of Neurology and Neurosurgery, Centre for Research in Neuroscience, The Research Institute of the McGill University Health Centre, Montreal General Hospital Montreal, QC, Canada.

Funding

CIHR 126137-1CIHR 130175-1Medical Research Council G0700188
6 · The paper itself

Abstract

Short-term plasticity (STP) denotes changes in synaptic strength that last up to tens of seconds. It is generally thought that STP impacts information transfer across synaptic connections and may thereby provide neurons with, for example, the ability to detect input coherence, to maintain stability and to promote synchronization. STP is due to a combination of mechanisms, including vesicle depletion and calcium accumulation in synaptic terminals. Different forms of STP exist, depending on many factors, including synapse type. Recent evidence shows that synapse dependence holds true even for connections that originate from a single presynaptic cell, which implies that postsynaptic target cell type can determine synaptic short-term dynamics. This arrangement is surprising, since STP itself is chiefly due to presynaptic mechanisms. Target-specific synaptic dynamics in addition imply that STP is not a bug resulting from synapses fatiguing when driven too hard, but rather a feature that is selectively implemented in the brain for specific functional purposes. As an example, target-specific STP results in sequential somatic and dendritic inhibition in neocortical and hippocampal excitatory cells during high-frequency firing. Recent studies also show that the Elfn1 gene specifically controls STP at some synapse types. In addition, presynaptic NMDA receptors have been implicated in synapse-specific control of synaptic dynamics during high-frequency activity. We argue that synapse-specific STP deserves considerable further study, both experimentally and theoretically, since its function is not well known. We propose that synapse-specific STP has to be understood in the context of the local circuit, which requires combining different scientific disciplines ranging from molecular biology through electrophysiology to computer modeling.

Indexed as

developmentnetwork modelsshort-term plasticitysynapse formationsynapse specificitysynaptic disease

Identifiers

PMID24367330
PMCPMC3854841

What OpenQuestion holds

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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.