Evidence map›Paper›PMID 21188161›Full record

ArticleFrontiers in computational neuroscience2010

Postsynaptic signal transduction models for long-term potentiation and depression.

Tiina Manninen, Katri Hituri, Jeanette Hellgren Kotaleski, Kim T Blackwell, Marja-Leena Linne

Abstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Computational Models for Calcium-Mediated Astrocyte Functions.Frontiers in computational neuroscience · 2018
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. A Cognitive Model Based on Neuromodulated Plasticity.Computational intelligence and neuroscience · 2016
    Article
  14. Article
  15. Article
  16. Heterosynaptic plasticity prevents runaway synaptic dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013
    Article
  17. The delicate bistability of CaMKII.Biophysical journal · 2013
    Article
  18. 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.

Tiina ManninenDepartment of Signal Processing, Tampere University of Technology Tampere, Finland.
Katri Hituri
Jeanette Hellgren Kotaleski
Kim T Blackwell
Marja-Leena Linne

Funding

CRCNS: Spatio-temporal Dynamics of Dopamine Activated 2nd Messenger PathwaysR01AA016022 · NIAAA · GEORGE MASON UNIVERSITY · PI BLACKWELL, KIM L, LOVINGER, DAVID · 2005 to 2017
$2.6M
CRCNS: Spatial & Temporal Aspects of cAMP/PKA Signaling Underlying InformationR01AA018060 · NIAAA · GEORGE MASON UNIVERSITY · PI ABEL, EDWIN TED G., BLACKWELL, KIM L · 2008 to 2012
$1.8M
NIAAA NIH HHS R01 AA016022NIAAA NIH HHS R01 AA018060
6 · The paper itself

Abstract

More than a hundred biochemical species, activated by neurotransmitters binding to transmembrane receptors, are important in long-term potentiation (LTP) and long-term depression (LTD). To investigate which species and interactions are critical for synaptic plasticity, many computational postsynaptic signal transduction models have been developed. The models range from simple models with a single reversible reaction to detailed models with several hundred kinetic reactions. In this study, more than a hundred models are reviewed, and their features are compared and contrasted so that similarities and differences are more readily apparent. The models are classified according to the type of synaptic plasticity that is modeled (LTP or LTD) and whether they include diffusion or electrophysiological phenomena. Other characteristics that discriminate the models include the phase of synaptic plasticity modeled (induction, expression, or maintenance) and the simulation method used (deterministic or stochastic). We find that models are becoming increasingly sophisticated, by including stochastic properties, integrating with electrophysiological properties of entire neurons, or incorporating diffusion of signaling molecules. Simpler models continue to be developed because they are computationally efficient and allow theoretical analysis. The more complex models permit investigation of mechanisms underlying specific properties and experimental verification of model predictions. Nonetheless, it is difficult to fully comprehend the evolution of these models because (1) several models are not described in detail in the publications, (2) only a few models are provided in existing model databases, and (3) comparison to previous models is lacking. We conclude that the value of these models for understanding molecular mechanisms of synaptic plasticity is increasing and will be enhanced further with more complete descriptions and sharing of the published models.

Indexed as

computational modelkinetic modellong-term depressionlong-term potentiationplasticitypostsynaptic signal transduction model

Identifiers

PMID21188161
PMCPMC3006457

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.