Evidence map›Paper›PMID 38327877›Full record

ArticleNew journal of physics2024

Breaking reflection symmetry: evolving long dynamical cycles in Boolean systems.

Mathieu Ouellet, Jason Z Kim, Harmange Guillaume, Sydney M Shaffer, Lee C Bassett, Dani S Bassett

Open access · goldAbstract read
In one paragraph

Article in New journal of physics, 2024. 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
0.7field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Mathieu OuelletDepartment of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID https://orcid.org/0000-0002-0651-4817
Jason Z KimDepartment of Bioengineering, School of Engineering & Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID https://orcid.org/0000-0002-3970-4561
Harmange GuillaumePerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.
Sydney M ShafferCell and Molecular Biology Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States of America.ORCID https://orcid.org/0000-0003-3539-9886
Lee C BassettDepartment of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID https://orcid.org/0000-0001-8729-1530
Dani S BassettDepartment of Electrical & Systems Engineering, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA 19104, United States of America.ORCID https://orcid.org/0000-0002-6183-4493
University of Pennsylvania · USUniversity of the Sciences · US

Funding

Training in Structural, Physiologic and Functional MRIT32EB020087 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI JAMES C GEE, Chamith Sudesh Rajapakse · 2016 to 2026
$2.1M
NIBIB NIH HHS T32 EB020087
6 · The paper itself

Abstract

In interacting dynamical systems, specific local interaction rules for system components give rise to diverse and complex global dynamics. Long dynamical cycles are a key feature of many natural interacting systems, especially in biology. Examples of dynamical cycles range from circadian rhythms regulating sleep to cell cycles regulating reproductive behavior. Despite the crucial role of cycles in nature, the properties of network structure that give rise to cycles still need to be better understood. Here, we use a Boolean interaction network model to study the relationships between network structure and cyclic dynamics. We identify particular structural motifs that support cycles, and other motifs that suppress them. More generally, we show that the presence of

Indexed as

Boolean networksdynamical systemstructural motifssymmetrysymmetry breaking

Identifiers

PMID38327877
PMCPMC10845163
OpenAlexW4390669115

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.