Symmetries and synchronization from whole-neural activity in the Caenorhabditis elegans connectome: Integration of functional and structural networks Journal Article


Authors: Avila, B.; Augusto, P.; Hashemi, A.; Phillips, D.; Gili, T.; Zimmer, M.; Makse, H. A.
Article Title: Symmetries and synchronization from whole-neural activity in the Caenorhabditis elegans connectome: Integration of functional and structural networks
Abstract: Understanding the dynamical behavior of complex systems from their underlying network architectures is a long-standing question in complexity theory. Therefore, many metrics have been devised to extract network features like motifs, centrality, and modularity measures. It has previously been proposed that network symmetries are of particular importance since they are expected to underlie the synchronization of a system’s units, which is ubiquitously observed in nervous system activity patterns. However, perfectly symmetrical structures are difficult to assess in noisy measurements of biological systems, like neuronal connectomes. Here, we devise a principled method to infer network symmetries from combined connectome and neuronal activity data. Using nervous system-wide population activity recordings of the Caenorhabditis elegans backward locomotor system, we infer structures in the connectome called fibration symmetries, which can explain which group of neurons synchronize their activity. Our analysis suggests functional building blocks in the animal’s motor periphery, providing testable hypotheses on how descending interneuron circuits communicate with the motor periphery to control behavior. Our approach opens a door to exploring the structure–function relations in other complex systems, like the nervous systems of larger animals. Copyright © 2025 the Author(s).
Keywords: adult; controlled study; nonhuman; animal; animals; biological model; neurons; structure activity relation; physiology; benchmarking; caenorhabditis elegans; nerve cell; locomotion; nerve cell network; nerve net; models, neurological; procedures; complex networks; article; synchronization; connectome; fibration symmetries
Journal Title: Proceedings of the National Academy of Sciences of the United States of America
Volume: 122
Issue: 23
ISSN: 0027-8424
Publisher: National Academy of Sciences  
Date Published: 2025-01-01
Start Page: e2417850122
Language: English
DOI: 10.1073/pnas.2417850122
PUBMED: 40455994
PROVIDER: scopus
DOI/URL:
Notes: Article -- Source: Scopus
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