Evidence map›Paper›PMID 28425500›Full record

ArticleScientific reports2017

Structure Shapes Dynamics and Directionality in Diverse Brain Networks: Mathematical Principles and Empirical Confirmation in Three Species.

Joon-Young Moon, Junhyeok Kim, Tae-Wook Ko, Minkyung Kim, Yasser Iturria-Medina, Jee-Hyun Choi, Joseph Lee, George A Mashour, UnCheol Lee

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. 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
2.9field-weighted citation impact, top 9% of its field
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, 32 citations in OpenAlex.

  1. Article
  2. Spectral imprint of structural embedding in effective connectivity.bioRxiv : the preprint server for biology · 2025
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  6. Delirium, Caffeine, and Perioperative Cortical Dynamics.Frontiers in human neuroscience · 2021
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  10. Review
  11. The generation and propagation of the human alpha rhythm.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  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

9 authors at 5 institutions in 3 countries.

Joon-Young MoonCenter for Consciousness Science and Department of Anesthesiology, University of Michigan Medical School, USA.
Junhyeok KimDepartment of Physics, Pohang University of Science and Technology, Pohang, Republic of Korea.
Tae-Wook KoNational Institute for Mathematical Sciences, Daejeon, Republic of Korea.
Minkyung KimDepartment of Physics, Pohang University of Science and Technology, Pohang, Republic of Korea.
Yasser Iturria-MedinaMontreal Neurological Institute, McGill University, Canada.
Jee-Hyun ChoiKorea Institute of Science and Technology, Seoul, Republic of Korea.
Joseph LeeCenter for Consciousness Science and Department of Anesthesiology, University of Michigan Medical School, USA.
George A MashourCenter for Consciousness Science and Department of Anesthesiology, University of Michigan Medical School, USA.
UnCheol LeeCenter for Consciousness Science and Department of Anesthesiology, University of Michigan Medical School, USA.
University of Michigan · USPohang University of Science and Technology · KRKorea Institute of Science and Technology · KRMcGill University · CANational Institute for Mathematical Sciences · KR

Funding

Frontoparietal Mechanisms of Anesthetic-induced UnconsciousnessR01GM098578 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEE, UNCHEOL, MASHOUR, GEORGE ALEXANDER · 2012 to 2019
$2.4M
NIGMS NIH HHS R01 GM098578
6 · The paper itself

Abstract

Identifying how spatially distributed information becomes integrated in the brain is essential to understanding higher cognitive functions. Previous computational and empirical studies suggest a significant influence of brain network structure on brain network function. However, there have been few analytical approaches to explain the role of network structure in shaping regional activities and directionality patterns. In this study, analytical methods are applied to a coupled oscillator model implemented in inhomogeneous networks. We first derive a mathematical principle that explains the emergence of directionality from the underlying brain network structure. We then apply the analytical methods to the anatomical brain networks of human, macaque, and mouse, successfully predicting simulation and empirical electroencephalographic data. The results demonstrate that the global directionality patterns in resting state brain networks can be predicted solely by their unique network structures. This study forms a foundation for a more comprehensive understanding of how neural information is directed and integrated in complex brain networks.

Indexed as

Models, NeurologicalAlgorithmsAnimalsBrainCognitionElectroencephalographyHumansMacacaMiceNerve NetNeural PathwaysSpecies Specificity

Identifiers

PMID28425500
PMCPMC5397857
OpenAlexW2607113265

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.