Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.

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 syst...

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Main Authors: Bacik, K, Schaub, M, Beguerisse-Díaz, M, Billeh, Y, Barahona, M
Other Authors: Hilgetag, C
Format: Journal article
Language:English
Published: Public Library of Science 2016
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author Bacik, K
Schaub, M
Beguerisse-Díaz, M
Billeh, Y
Barahona, M
author2 Hilgetag, C
author_facet Hilgetag, C
Bacik, K
Schaub, M
Beguerisse-Díaz, M
Billeh, Y
Barahona, M
author_sort Bacik, K
collection OXFORD
description 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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spelling oxford-uuid:a54d1a39-0751-40ba-aa35-112d5bd57a752022-03-27T02:39:32ZFlow-Based Network Analysis of the Caenorhabditis elegans Connectome.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a54d1a39-0751-40ba-aa35-112d5bd57a75EnglishSymplectic Elements at OxfordPublic Library of Science2016Bacik, KSchaub, MBeguerisse-Díaz, MBilleh, YBarahona, MHilgetag, CWe 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.
spellingShingle Bacik, K
Schaub, M
Beguerisse-Díaz, M
Billeh, Y
Barahona, M
Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title_full Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title_fullStr Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title_full_unstemmed Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title_short Flow-Based Network Analysis of the Caenorhabditis elegans Connectome.
title_sort flow based network analysis of the caenorhabditis elegans connectome
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AT billehy flowbasednetworkanalysisofthecaenorhabditiselegansconnectome
AT barahonam flowbasednetworkanalysisofthecaenorhabditiselegansconnectome