Evidence map›Paper›PMID 28108494›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2018

The Rich-Club Organization in Rat Functional Brain Network to Balance Between Communication Cost and Efficiency.

Xia Liang, Li-Ming Hsu, Hanbing Lu, Akira Sumiyoshi, Yong He, Yihong Yang

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Association of Bidirectional Network Cores in the Brain with Perceptual Awareness and Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Connectomic analysis of Alzheimer's disease using percolation theory.Network neuroscience (Cambridge, Mass.) · 2022
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Rich-club in the brain's macrostructure: Insights from graph theoretical analysis.Computational and structural biotechnology journal · 2020
    Review
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.

Xia LiangNeuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA.
Li-Ming HsuNeuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA.
Hanbing LuNeuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA.
Akira SumiyoshiNeuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA.
Yong HeState Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
Yihong YangNeuroimaging Research Branch, National Institute on Drug Abuse, Baltimore, MD 21224, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network analyses of structural connectivity in the brain have highlighted a set of highly connected hubs that are densely interconnected, forming a "rich-club" substrate in diverse species. Here, we demonstrate the existence of rich-club organization in functional brain networks of rats. Densely interconnected rich-club regions are found to be distributed in multiple brain modules, with the majority located within the putative default mode network. Rich-club members exhibit high wiring cost (as measured by connection distance) and high metabolic running cost (as surrogated by cerebral blood flow), which may have evolved to achieve high network communications to support efficient brain functions. Furthermore, by adopting a forepaw electrical stimulation paradigm, we find that the rich-club organization of the rat functional network remains almost the same as in the resting state, whereas path motif analysis reveals significant differences, suggesting the rat brain reorganizes its topological routes by increasing locally oriented shortcuts but reducing rich-club member-involved paths to conserve metabolic running cost during unimodal stimulation. Together, our results suggest that the neuronal system is organized and dynamically operated in an economic way to balance between cost minimization and topological/functional efficiency.

Indexed as

Models, NeurologicalAnimalsBrainConnectomeElectric StimulationForelimbImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleNerve NetNeural PathwaysOxygenRatsRats, Sprague-DawleyOxygenfunctional connectomemodulemotifrat brainrich club

Identifiers

PMID28108494
PMCPMC6059143

What OpenQuestion holds

Textmetadata
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.