Bacik, Karol A. and Schaub, Michael T. and Beguerisse-Díaz, Mariano and Billeh, Yazan N. and Barahona, Mauricio (2016) Flow-Based Network Analysis of the Caenorhabditis elegans Connectome. PLOS Computational Biology, 12 (8). Art. No. e1005055. ISSN 1553-7358. PMCID PMC4975510. https://resolver.caltech.edu/CaltechAUTHORS:20160815-141402908
Use this Persistent URL to link to this item: https://resolver.caltech.edu/CaltechAUTHORS:20160815-141402908
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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Additional Information: | © 2016 Bacik et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received: January 12, 2016; Accepted: July 12, 2016; Published: August 5, 2016. Data Availability: All relevant data are within the paper and its Supporting Information files. Funding: KAB acknowledges an Award from the Imperial College Undergraduate Research Opportunities Programme (UROP). MTS acknowledges support from the ARC and the Belgium network DYSCO (Dynamical Systems, Control and Optimisation). YNB acknowledges support from the G. Harold and Leila Y. Mathers Foundation. MBD acknowledges support from the James S. McDonnell Foundation Postdoctoral Program in Complexity Science/Complex Systems Fellowship Award (220020349-CS/PD Fellow). MB acknowledges support from EPSRC grants EP/I017267/1 and EP/N014529/1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors have declared that no competing interests exist. Author Contributions: Conceived and designed the experiments: KAB MTS MBD MB. Performed the experiments: KB MTS MBD. Analyzed the data: KAB MTS MBD YNB MB. Wrote the paper: KAB MTS MBD YNB MB. Created the figures: KAB MTS MBD MB. | ||||||||||||||||
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Issue or Number: | 8 | ||||||||||||||||
PubMed Central ID: | PMC4975510 | ||||||||||||||||
Record Number: | CaltechAUTHORS:20160815-141402908 | ||||||||||||||||
Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20160815-141402908 | ||||||||||||||||
Official Citation: | Bacik KA, Schaub MT, Beguerisse-Díaz M, Billeh YN, Barahona M (2016) Flow-Based Network Analysis of the Caenorhabditis elegans Connectome. PLoS Comput Biol 12(8): e1005055. doi:10.1371/journal.pcbi.1005055 | ||||||||||||||||
Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||||||||||
ID Code: | 69631 | ||||||||||||||||
Collection: | CaltechAUTHORS | ||||||||||||||||
Deposited By: | Tony Diaz | ||||||||||||||||
Deposited On: | 15 Aug 2016 21:48 | ||||||||||||||||
Last Modified: | 09 Mar 2020 13:18 |
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