ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2011
A perimotor framework reveals functional segmentation in the motoneuronal network controlling locomotion in Caenorhabditis elegans.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed, 46 citations in OpenAlex.
- Synchronization properties in C. elegans: Relating behavioral circuits to structural and functional neuronal connectivity.PLoS computational biology · 2026Article
- Optimization of connectome weights for a neural network model generating both forward and backward locomotion in C. elegans.Scientific reports · 2026Article
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- See Elegans: Simple-to-use, accurate, and automatic 3D detection of neural activity from densely packed neurons.PloS one · 2024Article
- Fibration symmetries and cluster synchronization in the Caenorhabditis elegans connectome.PloS one · 2024Article
- A Neuromechanical Model of Multiple Network Rhythmic Pattern Generators for Forward Locomotion inFrontiers in computational neuroscience · 2021Article
- Developmental trajectory of Caenorhabditis elegans nervous system governs its structural organization.PLoS computational biology · 2020Article
- Synthetic ablations in theNetwork neuroscience (Cambridge, Mass.) · 2020Article
- Neural Interactome: Interactive Simulation of a Neuronal System.Frontiers in computational neuroscience · 2019Article
- Article
- From head to tail: a neuromechanical model of forward locomotion inPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Article
- Review
- The UBR-1 ubiquitin ligase regulates glutamate metabolism to generate coordinated motor pattern in Caenorhabditis elegans.PLoS genetics · 2018Article
- Potential role of a ventral nerve cord central pattern generator in forward and backward locomotion inNetwork neuroscience (Cambridge, Mass.) · 2018Article
- The C. elegans Connectome Consists of Homogenous Circuits with Defined Functional Roles.PLoS computational biology · 2016Article
- Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.PLoS computational biology · 2016Article
- Neurobiology ofBioscience · 2014Article
- Can simple rules control development of a pioneer vertebrate neuronal network generating behavior?The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Stochastic blockmodeling of the modules and core of the Caenorhabditis elegans connectome.PloS one · 2014Article
- Article
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2 authors at 1 institution in 1 country.
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Abstract
The neuronal connectivity dataset of the nematode Caenorhabditis elegans attracts wide attention from computational neuroscientists and experimentalists. However, the dataset is incomplete. The ventral and dorsal nerve cords of a single nematode were reconstructed halfway along the body and the posterior data are missing, leaving 21 of 75 motoneurons of the locomotor network with partial or no connectivity data. Using a new framework for network analysis, the perimotor space, we identified rules of connectivity that allowed us to approximate the missing data by extrapolation. Motoneurons were mapped into perimotor space in which each motoneuron is located according to the muscle cells it innervates. In this framework, a pattern of iterative connections emerges which includes most (0.90) of the connections. We identified a repeating unit consisting of 12 motoneurons and 12 muscle cells. The cell bodies of the motoneurons of such a unit are not necessarily anatomical neighbors and there is no obvious anatomical segmentation. A connectivity model, composed of six repeating units, is a description of the network that is both simplified (modular and without noniterative connections) and more complete (includes the posterior part) than the original dataset. The perimotor framework of observed connectivity and the segmented connectivity model give insights and advance the study of the neuronal infrastructure underlying locomotion in C. elegans. Furthermore, we suggest that the tools used herein may be useful to interpret, simplify, and represent connectivity data of other motor systems.
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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.