Prediction of functional neural circuits in caenorhabditis elegans based on overlapping community detection Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.neunet.2025.107653
The identification of functional neural circuits is crucial for understanding brain functions. However, experimental methods are often labor-intensive and resource-intensive. In this study, we modified the BIGCLAM algorithm to detect overlapping communities in directed and weighted networks and applied it to the neural networks of hermaphrodite and male Caenorhabditis elegans (C. elegans). Given the high similarity in connotation between network communities and functional neural circuits, we can predict functional neural circuits by detecting communities within the neural networks, thereby reducing the complexity of experimental research. In hermaphrodites, we predicted functional neural circuits related to various behaviors, including egg-laying, pharyngeal regulation, stress-induced sleep, tail sensation, and mechanosensation. In males, we identified functional neural circuits involved in sex-specific behaviors, such as mating and mate-searching, as well as those related to mechanosensation and food representation. These findings provide new insights into the neural mechanisms underlying behaviors and sexual dimorphism in C. elegans. The modified algorithm also has potential applications in analyzing other complex systems.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.neunet.2025.107653
- OA Status
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- References
- 116
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4411148745Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.neunet.2025.107653Digital Object Identifier
- Title
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Prediction of functional neural circuits in caenorhabditis elegans based on overlapping community detectionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-06-09Full publication date if available
- Authors
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Xuebin Wang, Rongjun Qin, Ke Zhang, Zengru Di, Qiang Liu, Wenxing YangList of authors in order
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https://doi.org/10.1016/j.neunet.2025.107653Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.neunet.2025.107653Direct OA link when available
- Concepts
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Biological neural network, Caenorhabditis elegans, Mechanosensation, Artificial neural network, Computer science, Artificial intelligence, Biology, Neuroscience, Genetics, Receptor, Gene, Ion channelTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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116Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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