Evidence map›Paper›PMID 27631433›Full record

ArticlePLoS biology2016

Principles of Network Architecture Emerging from Comparisons of the Cerebral Cortex in Large and Small Brains.

Barbara L Finlay

Abstract readComparative StudyComment
In one paragraph

Article in PLoS biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Parcels and particles: Markov blankets in the brain.Network neuroscience (Cambridge, Mass.) · 2021
    Article
  3. Self-organization of cortical areas in the development and evolution of neocortex.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Barbara L FinlayDepartment of Psychology, Cornell University, Ithaca, New York, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cerebral cortex retains its fundamental organization, layering, and input-output relations as it scales in volume over many orders of magnitude in mammals. How is its network architecture affected by size scaling? By comparing network organization of the mouse and rhesus macaque cortical connectome derived from complete neuroanatomical tracing studies, a recent study in PLOS Biology shows that an exponential distance rule emerges that reveals the falloff in connection probability with distance in the two brains that in turn determines common organizational features.

Indexed as

ConnectomeAnimalsCerebral CortexHumansSpecies Specificity

Identifiers

PMID27631433
PMCPMC5025234

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.