Evidence map›Paper›PMID 29884799›Full record

ArticleNature communications2018

Concurrence of form and function in developing networks and its role in synaptic pruning.

Ana P Millán, J J Torres, S Johnson, J Marro

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The shape of memory in temporal networks.Nature communications · 2022
    Article
  6. Physics Clues on the Mind Substrate and Attributes.Frontiers in computational neuroscience · 2022
    Article
  7. Article
  8. Review
  9. Review
  10. How Memory Conforms to Brain Development.Frontiers in computational neuroscience · 2019
    Article
  11. 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.

Ana P MillánInstitute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, 18010, Spain. apmillan@ugr.es.
J J TorresInstitute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, 18010, Spain.
S JohnsonSchool of Mathematics, University of Birmingham, Edgbaston, B15 2TT, UK.ORCID http://orcid.org/0000-0002-8648-1735
J MarroInstitute Carlos I for Theoretical and Computational Physics, University of Granada, Granada, 18010, Spain.ORCID http://orcid.org/0000-0003-3718-8636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fundamental question in neuroscience is how structure and function of neural systems are related. We study this interplay by combining a familiar auto-associative neural network with an evolving mechanism for the birth and death of synapses. A feedback loop then arises leading to two qualitatively different types of behaviour. In one, the network structure becomes heterogeneous and dissasortative, and the system displays good memory performance; furthermore, the structure is optimised for the particular memory patterns stored during the process. In the other, the structure remains homogeneous and incapable of pattern retrieval. These findings provide an inspiring picture of brain structure and dynamics that is compatible with experimental results on early brain development, and may help to explain synaptic pruning. Other evolving networks-such as those of protein interactions-might share the basic ingredients for this feedback loop and other questions, and indeed many of their structural features are as predicted by our model.

Indexed as

AlgorithmsAnimalsBrainHumansMemoryModels, NeurologicalMonte Carlo MethodNerve NetNeuronal PlasticityNeuronsSynapsesSynaptic Transmission

Identifiers

PMID29884799
PMCPMC5993834

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.