Evidence map›Paper›PMID 17118163›Full record

ArticleBMC neuroscience2006

Mathematical modelling and numerical simulation of the morphological development of neurons.

Bruce P Graham, Arjen van Ooyen

Abstract read
In one paragraph

Article in BMC neuroscience, 2006. 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. Article
  2. Article
  3. Article
  4. Structural Plasticity of the Hippocampus in Neurodegenerative Diseases.International journal of molecular sciences · 2022
    Review
  5. Mathematical models of neuronal growth.Biomechanics and modeling in mechanobiology · 2022
    Review
  6. Review
  7. Simulation of developing human neuronal cell networks.Biomedical engineering online · 2016
    Article
  8. Efficient simulations of tubulin-driven axonal growth.Journal of computational neuroscience · 2016
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Modeling of Neuronal Growth In Vitro: Comparison of Simulation Tools NETMORPH and CX3D.EURASIP journal on bioinformatics & systems biology · 2011
    Article
  15. Article
  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

2 authors.

Bruce P GrahamDepartment of Computing Science and Mathematics, University of Stirling, Stirling FK9 4LA, UK. b.graham@cs.stir.ac.uk
Arjen van Ooyen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe morphological development of neurons is a very complex process involving both genetic and environmental components. Mathematical modelling and numerical simulation are valuable tools in helping us unravel particular aspects of how individual neurons grow their characteristic morphologies and eventually form appropriate networks with each other.

methodsA variety of mathematical models that consider (1) neurite initiation (2) neurite elongation (3) axon pathfinding, and (4) neurite branching and dendritic shape formation are reviewed. The different mathematical techniques employed are also described.

resultsSome comparison of modelling results with experimental data is made. A critique of different modelling techniques is given, leading to a proposal for a unified modelling environment for models of neuronal development.

conclusionA unified mathematical and numerical simulation framework should lead to an expansion of work on models of neuronal development, as has occurred with compartmental models of neuronal electrical activity.

Indexed as

Computer SimulationModels, NeurologicalAnimalsCell DifferentiationGrowth ConesHumansNerve NetNeuritesNeurons

Identifiers

PMID17118163
PMCPMC1679805

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.