Evidence map›Paper›PMID 42835769›Full record

ArticleNational science review2026

An alternate mechanism for the emergence of localized oscillatory patterns in networked reaction-diffusion systems.

Zhi-Chao Xue, Xiaofeng Luo, Li Li, Yongli Song, Stefano Boccaletti, Charo I Del Genio, Yicheng Zhang, Gui-Quan Sun

Abstract read
In one paragraph

Article in National science review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zhi-Chao XueComplex Systems Research Center, Shanxi University, Taiyuan 030006, China.
Xiaofeng LuoSchool of Mathematics, North University of China, Taiyuan 030051, China.
Li LiSchool of Computer and Information Technology, Shanxi University, Taiyuan 030006, China.
Yongli SongSchool of Mathematics, Hangzhou Normal University, Hangzhou 311121, China.
Stefano BoccalettiSino-Europe Complex Science Center, North University of China, Taiyuan 030051, China.
Charo I Del GenioInstitute of Interdisciplinary Intelligent Science, Ningbo University of Technology, Ningbo 315211, China.
Yicheng ZhangSino-Europe Complex Science Center, North University of China, Taiyuan 030051, China.
Gui-Quan SunComplex Systems Research Center, Shanxi University, Taiyuan 030006, China.ORCID https://orcid.org/0000-0002-1831-1603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Localized oscillatory patterns, confined to finite spatial domains or subsets of nodes in a network, have been observed in cortical neurons, metacommunity ecosystems, and chemical experiments.Previous studies have shown that wave bifurcations (oscillatory Turing instabilities) in undirected networked reaction-diffusion systems can induce such localized oscillations. Here, we propose an alternative mechanism for their emergence, namely Hopf-type instabilities acting on a subcritical Turing branch. Unlike wave bifurcations, this mechanism does not require interactions amongst at least three components. We further demonstrate its robustness in both the Brusselator and FitzHugh-Nagumo models in undirected Barabási-Albert, Erd˝os-Rényi, and Watts-Strogatz networks. This work extends the universality of such patterns in networked systems and provides a theoretical foundation for the control of collective dynamical phenomena in complex systems.

Indexed as

complex networklocalized oscillatory patternsnetworked systemsubcritical branch

Identifiers

PMID42835769
PMCPMC13637610

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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.