Graph theoretical approaches have become a powerful tool for
investigating the architecture and dynamics of complex networks. The topology
of network graphs revealed small-world properties for very different real
systems among these neuronal networks. In this study, we observed the early
development of mouse retinal ganglion cell (RGC) networks in vitro using timelapse
video microscopy. By means of a time-resolved graph theoretical analysis
of the connectivity, shortest path length and the edge length, we were able to
discover the different stages during the network formation. Starting from single
cells, at the first stage neurons connected to each other ending up in a network
with maximum complexity. In the further course, we observed a simplification of
the network which manifested in a change of relevant network parameters such
as the minimization of the path length. Moreover, we found that RGC networks
self-organized as small-world networks at both stages; however, the optimization
occurred only in the second stage.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:80298 |
| Date | 02 August 2022 |
| Creators | Woiterski, Lydia, Claudepierre, Thomas, Luxenhofer, Robert, Jordan, Rainer, Käs, Josef A. |
| Publisher | IOP Publishing |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:article, info:eu-repo/semantics/article, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | 025029 |
Page generated in 0.0021 seconds