ArticlePLoS computational biology2016
Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Article
- Multiscale mobility patterns and the restriction of human movement.Royal Society open science · 2023Article
- The synaptic organization in theProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Reaction-diffusion models in weighted and directed connectomes.PLoS computational biology · 2022Article
- Multiscale Methods for Signal Selection in Single-Cell Data.Entropy (Basel, Switzerland) · 2022Article
- Relative, local and global dimension in complex networks.Nature communications · 2022Article
- Synthetic ablations in theNetwork neuroscience (Cambridge, Mass.) · 2020Article
- Network Communities of Dynamical Influence.Scientific reports · 2019Article
- From free text to clusters of content in health records: an unsupervised graph partitioning approach.Applied network science · 2019Article
- Flux-dependent graphs for metabolic networks.NPJ systems biology and applications · 2018Article
- Optimized connectome architecture for sensory-motor integration.Network neuroscience (Cambridge, Mass.) · 2018Article
- Communication dynamics in complex brain networks.Nature reviews. Neuroscience · 2017Review
- The diverse club.Nature communications · 2017Article
- The many facets of community detection in complex networks.Applied network science · 2017Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We exploit flow propagation on the directed neuronal network of the nematode C. elegans to reveal dynamically relevant features of its connectome. We find flow-based groupings of neurons at different levels of granularity, which we relate to functional and anatomical constituents of its nervous system. A systematic in silico evaluation of the full set of single and double neuron ablations is used to identify deletions that induce the most severe disruptions of the multi-resolution flow structure. Such ablations are linked to functionally relevant neurons, and suggest potential candidates for further in vivo investigation. In addition, we use the directional patterns of incoming and outgoing network flows at all scales to identify flow profiles for the neurons in the connectome, without pre-imposing a priori categories. The four flow roles identified are linked to signal propagation motivated by biological input-response scenarios.
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Registered trials
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.