Evidence map›Paper›PMID 25855164›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2015

Emergence of rich-club topology and coordinated dynamics in development of hippocampal functional networks in vitro.

Manuel S Schroeter, Paul Charlesworth, Manfred G Kitzbichler, Ole Paulsen, Edward T Bullmore

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing 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

76 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Neural network embedding of functional microconnectome.Network neuroscience (Cambridge, Mass.) · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

16 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

5 authors.

Manuel S SchroeterBehavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge CB2 3EB, United Kingdom, manuel.schroeter@gmail.com etb23@cam.ac.uk.ORCID http://orcid.org/0000-0002-9347-9203
Paul CharlesworthDepartment of Physiology, Development and Neuroscience, University of Cambridge, Physiological Laboratory, Cambridge CB2 3EG, United Kingdom.ORCID http://orcid.org/0000-0002-6159-4223
Manfred G KitzbichlerBehavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge CB2 3EB, United Kingdom.ORCID http://orcid.org/0000-0002-4494-0753
Ole PaulsenDepartment of Physiology, Development and Neuroscience, University of Cambridge, Physiological Laboratory, Cambridge CB2 3EG, United Kingdom.ORCID http://orcid.org/0000-0002-2258-5455
Edward T BullmoreBehavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge CB2 3EB, United Kingdom, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge CB21 5HH, United Kingdom, and GlaxoSmithKline, Immuno Psychiatry, Alternative Discovery and Development, Stevenage SG1 2NY, United Kingdom manuel.schroeter@gmail.com etb23@cam.ac.uk.ORCID http://orcid.org/0000-0002-8955-8283

Funding

Biotechnology and Biological Sciences Research Council BB/H008608/1Medical Research Council 093875/Z/10/ZMedical Research Council G0001354Medical Research Council G1000183Wellcome Trust 093875Wellcome Trust 095844
6 · The paper itself

Abstract

Recent studies demonstrated that the anatomical network of the human brain shows a "rich-club" organization. This complex topological feature implies that highly connected regions, hubs of the large-scale brain network, are more densely interconnected with each other than expected by chance. Rich-club nodes were traversed by a majority of short paths between peripheral regions, underlining their potential importance for efficient global exchange of information between functionally specialized areas of the brain. Network hubs have also been described at the microscale of brain connectivity (so-called "hub neurons"). Their role in shaping synchronous dynamics and forming microcircuit wiring during development, however, is not yet fully understood. The present study aimed to investigate the role of hubs during network development, using multi-electrode arrays and functional connectivity analysis during spontaneous multi-unit activity (MUA) of dissociated primary mouse hippocampal neurons. Over the first 4 weeks in vitro, functional connectivity significantly increased in strength, density, and size, with mature networks demonstrating a robust modular and small-world topology. As expected by a "rich-get-richer" growth rule of network evolution, MUA graphs were found to form rich-clubs at an early stage in development (14 DIV). Later on, rich-club nodes were a consistent topological feature of MUA graphs, demonstrating high nodal strength, efficiency, and centrality. Rich-club nodes were also found to be crucial for MUA dynamics. They often served as broker of spontaneous activity flow, confirming that hub nodes and rich-clubs may play an important role in coordinating functional dynamics at the microcircuit level.

Indexed as

Models, NeurologicalNonlinear DynamicsAction PotentialsAnimalsCells, CulturedEmbryo, MammalianFemaleHippocampusMaleMiceNerve NetNeuronsSodium Channel BlockersTetrodotoxinSodium Channel BlockersTetrodotoxindevelopmentelectrophysiologyhippocampushubsnetwork

Identifiers

PMID25855164
PMCPMC4388914

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.