Evidence map›Paper›PMID 30443598›Full record

ArticleScience advances2018

Impact of modular organization on dynamical richness in cortical networks.

Hideaki Yamamoto, Satoshi Moriya, Katsuya Ide, Takeshi Hayakawa, Hisanao Akima, Shigeo Sato, Shigeru Kubota, Takashi Tanii, Michio Niwano, Sara Teller and 2 more

Abstract read
In one paragraph

Article in Science advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

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  9. Harnessing Intelligence from Brain Cells In Vitro.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2025
    Review
  10. Article
  11. Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025
    Review
  12. Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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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

12 authors.

Hideaki YamamotoWPI-Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.ORCID 0000-0003-3362-5376
Satoshi MoriyaResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.ORCID 0000-0002-7764-5806
Katsuya IdeResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.
Takeshi HayakawaResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.
Hisanao AkimaResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.
Shigeo SatoResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.ORCID 0000-0003-3912-357X
Shigeru KubotaGraduate School of Science and Engineering, Yamagata University, Yamagata 992-8510, Japan.
Takashi TaniiFaculty of Science and Engineering, Waseda University, Tokyo 169-8555, Japan.
Michio NiwanoResearch Institute for Electrical Communication, Tohoku University, Sendai 980-8577, Japan.
Sara TellerDepartament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona 08028, Catalonia, Spain.
Jordi SorianoDepartament de Física de la Matèria Condensada, Universitat de Barcelona, Barcelona 08028, Catalonia, Spain.ORCID 0000-0003-2676-815X
Ayumi Hirano-IwataWPI-Advanced Institute for Materials Research (WPI-AIMR), Tohoku University, Sendai 980-8577, Japan.ORCID 0000-0002-3043-7698

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As in many naturally formed networks, the brain exhibits an inherent modular architecture that is the basis of its rich operability, robustness, and integration-segregation capacity. However, the mechanisms that allow spatially segregated neuronal assemblies to swiftly change from localized to global activity remain unclear. Here, we integrate microfabrication technology with in vitro cortical networks to investigate the dynamical repertoire and functional traits of four interconnected neuronal modules. We show that the coupling among modules is central. The highest dynamical richness of the network emerges at a critical connectivity at the verge of physical disconnection. Stronger coupling leads to a persistently coherent activity among the modules, while weaker coupling precipitates the activity to be localized solely within the modules. An in silico modeling of the experiments reveals that the advent of coherence is mediated by a trade-off between connectivity and subquorum firing, a mechanism flexible enough to allow for the coexistence of both segregated and integrated activities. Our results unveil a new functional advantage of modular organization in complex networks of nonlinear units.

Identifiers

PMID30443598
PMCPMC6235526

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LicenceCC BY-NC
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Registered trials

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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.