Evidence map›Paper›PMID 24179228›Full record

ReviewScience (New York, N.Y.)2013

Cortical high-density counterstream architectures.

Nikola T Markov, Mária Ercsey-Ravasz, David C Van Essen, Kenneth Knoblauch, Zoltán Toroczkai, Henry Kennedy

Registry-linked trialAbstract readReview
In one paragraph

Review in Science (New York, N.Y.), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03058133 (Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.), which is not on this map. Cited by 287 papers.

0numbers the graph read from it
0cells of the map it votes in
287citing 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.

NCT03058133 nacompletednot on this mapstarted 2016, after this paper: background citation

Neural Correlates of Multimodal Face/Voice Processing in a Gender Task.

TypeinterventionalSponsorHospices Civils de LyonRan2016 to 2018Enrolled38ConditionsHealthyArmsfMRI study
3 · Its place in the literature

Who cites it

287 citing papers in PubMed.

  1. Article
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  5. Macroscale Gradient-Informed Neural Oscillation Topography in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  6. Article
  7. Article
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  9. Review
  10. Review
  11. Article
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  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Predictive Coding Light.Nature communications · 2025
    Article
  20. Article

227 more citing papers are in PubMed but not listed here.

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

6 authors.

Nikola T MarkovStem cell and Brain Research Institute, INSERM U846, 18 Avenue Doyen Lépine, 69500 Bron, France.
Mária Ercsey-RavaszFaculty of Physics, Babeş-Bolyai University, Cluj-Napoca, 400084 Romania.
David C Van EssenDepartment of Anatomy and Neurobiology, Washington University School of Medicine, St. Louis, MO 63110-1093, USA.
Kenneth Knoblauch *Stem cell and Brain Research Institute, INSERM U846, 18 Avenue Doyen Lépine, 69500 Bron, France.
Zoltán Toroczkai *Department of Physics and Interdisciplinary Center for Network Science and Applications, University of Notre Dame, Notre Dame, IN 46556, USA.
Henry Kennedy *Stem cell and Brain Research Institute, INSERM U846, 18 Avenue Doyen Lépine, 69500 Bron, France.

Funding

RECONSTRUCTIONS AND REPRESENTATIONS OF CEREBRAL CORTEXR01MH060974 · NIMH · WASHINGTON UNIVERSITY · PI VAN ESSEN, DAVID C · 1999 to 2024
$12.7M
NIMH NIH HHS R01 MH060974NIMH NIH HHS R01 MH60974
6 · The paper itself

Abstract

Small-world networks provide an appealing description of cortical architecture owing to their capacity for integration and segregation combined with an economy of connectivity. Previous reports of low-density interareal graphs and apparent small-world properties are challenged by data that reveal high-density cortical graphs in which economy of connections is achieved by weight heterogeneity and distance-weight correlations. These properties define a model that predicts many binary and weighted features of the cortical network including a core-periphery, a typical feature of self-organizing information processing systems. Feedback and feedforward pathways between areas exhibit a dual counterstream organization, and their integration into local circuits constrains cortical computation. Here, we propose a bow-tie representation of interareal architecture derived from the hierarchical laminar weights of pathways between the high-efficiency dense core and periphery.

Indexed as

Models, NeurologicalCerebral CortexHumansMental ProcessesNerve Net

Identifiers

PMID24179228
PMCPMC3905047

What OpenQuestion holds

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Registered trials

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.