Evidence map›Paper›PMID 27441598›Full record

ArticlePLoS biology2016

Spatial Embedding and Wiring Cost Constrain the Functional Layout of the Cortical Network of Rodents and Primates.

Szabolcs Horvát, Răzvan Gămănuț, Mária Ercsey-Ravasz, Loïc Magrou, Bianca Gămănuț, David C Van Essen, Andreas Burkhalter, Kenneth Knoblauch, Zoltán Toroczkai, Henry Kennedy

Abstract read
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 116 papers.

0numbers the graph read from it
0cells of the map it votes in
116citing 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

116 citing papers in PubMed.

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  10. A feasible probability and graph model for memory engrams.Frontiers in computational neuroscience · 2026
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  15. Building the connectome of a small brain with a simple stochastic developmental generative model.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
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56 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Szabolcs HorvátUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.
Răzvan GămănuțUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.
Mária Ercsey-RavaszFaculty of Physics, Babeş-Bolyai University, Cluj-Napoca, Romania.
Loïc MagrouUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.
Bianca GămănuțUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.
David C Van EssenDepartment of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Andreas BurkhalterDepartment of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, Missouri, United States of America.
Kenneth KnoblauchUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.
Zoltán ToroczkaiDepartment of Physics, and the Interdisciplinary Center for Network Science and Applications, University of Notre Dame, Notre Dame, Indiana, United States of America.
Henry KennedyUniv Lyon, Université Claude Bernard Lyon 1, Inserm, Stem-cell and Brain Research Institute U1208, Bron, France.

Funding

RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
PROCESSING STREAMS IN VISUAL CORTEXR01EY022090 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2013 to 2017
$1.9M
Formation of Cortical Areas and CircuitsR01EY016184 · NEI · WASHINGTON UNIVERSITY · PI BURKHALTER, ANDREAS HANS · 2006 to 2010
$1.5M
NEI NIH HHS R01 EY016184NEI NIH HHS R01 EY022090NIMH NIH HHS R01 MH060974
6 · The paper itself

Abstract

Mammals show a wide range of brain sizes, reflecting adaptation to diverse habitats. Comparing interareal cortical networks across brains of different sizes and mammalian orders provides robust information on evolutionarily preserved features and species-specific processing modalities. However, these networks are spatially embedded, directed, and weighted, making comparisons challenging. Using tract tracing data from macaque and mouse, we show the existence of a general organizational principle based on an exponential distance rule (EDR) and cortical geometry, enabling network comparisons within the same model framework. These comparisons reveal the existence of network invariants between mouse and macaque, exemplified in graph motif profiles and connection similarity indices, but also significant differences, such as fractionally smaller and much weaker long-distance connections in the macaque than in mouse. The latter lends credence to the prediction that long-distance cortico-cortical connections could be very weak in the much-expanded human cortex, implying an increased susceptibility to disconnection syndromes such as Alzheimer disease and schizophrenia. Finally, our data from tracer experiments involving only gray matter connections in the primary visual areas of both species show that an EDR holds at local scales as well (within 1.5 mm), supporting the hypothesis that it is a universally valid property across all scales and, possibly, across the mammalian class.

Indexed as

Models, NeurologicalAlgorithmsAnimalsCerebral CortexComputer SimulationConnectomeFemaleHumansMacacaMaleMiceModels, AnatomicNerve NetNeural PathwaysSpecies Specificity

Identifiers

PMID27441598
PMCPMC4956175

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.