Evidence map›Paper›PMID 30475798›Full record

ArticlePLoS computational biology2018

Comprehensive computational modelling of the development of mammalian cortical connectivity underlying an architectonic type principle.

Sarah F Beul, Alexandros Goulas, Claus C Hilgetag

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025
    Review
  6. Article
  7. A generative model of the connectome with dynamic axon growth.bioRxiv : the preprint server for biology · 2024
    Article
  8. A generative model of the connectome with dynamic axon growth.Network neuroscience (Cambridge, Mass.) · 2024
    Article
  9. Brain connectivity meets reservoir computing.PLoS computational biology · 2022
    Article
  10. Article
  11. The inevitable inequality of cortical columns.Frontiers in systems neuroscience · 2022
    Article
  12. Article
  13. Observational
  14. Article
  15. A Connectomic Hypothesis for the Hominization of the Brain.Cerebral cortex (New York, N.Y. : 1991) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. 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

3 authors.

Sarah F BeulInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-0404-0598
Alexandros GoulasInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Claus C HilgetagInstitute of Computational Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The architectonic type principle relates patterns of cortico-cortical connectivity to the relative architectonic differentiation of cortical regions. One mechanism through which the observed close relation between cortical architecture and connectivity may be established is the joint development of cortical areas and their connections in developmental time windows. Here, we describe a theoretical exploration of the possible mechanistic underpinnings of the architectonic type principle, by performing systematic computational simulations of cortical development. The main component of our in silico model was a developing two-dimensional cortical sheet, which was gradually populated by neurons that formed cortico-cortical connections. To assess different explanatory mechanisms, we varied the spatiotemporal trajectory of the simulated neurogenesis. By keeping the rules governing axon outgrowth and connection formation constant across all variants of simulated development, we were able to create model variants which differed exclusively by the specifics of when and where neurons were generated. Thus, all differences in the resulting connectivity were due to the variations in spatiotemporal growth trajectories. Our results demonstrated that a prescribed targeting of interareal connection sites was not necessary for obtaining a realistic replication of the experimentally observed relation between connection patterns and architectonic differentiation. Instead, we found that spatiotemporal interactions within the forming cortical sheet were sufficient if a small number of empirically well-grounded assumptions were met, namely planar, expansive growth of the cortical sheet around two points of origin as neurogenesis progressed, stronger architectonic differentiation of cortical areas for later neurogenetic time windows, and stochastic connection formation. Thus, our study highlights a potential mechanism of how relative architectonic differentiation and cortical connectivity become linked during development. We successfully predicted connectivity in two species, cat and macaque, from simulated cortico-cortical connection networks, which further underscored the general applicability of mechanisms through which the architectonic type principle can explain cortical connectivity in terms of the relative architectonic differentiation of cortical regions.

Indexed as

Computer SimulationConnectomeAnimalsBrain MappingCerebral CortexHumansMammalsNeurogenesis

Identifiers

PMID30475798
PMCPMC6261046

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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.