Hierarchical communities in the larval Drosophila connectome: Links to cellular annotations and network topology DOI Creative Commons
Richard F. Betzel, Maria Grazia Puxeddu, Caio Seguin

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(38)

Published: Sept. 13, 2024

One of the longstanding aims network neuroscience is to link a connectome’s topological properties—i.e., features defined from connectivity alone–with an organism’s neurobiology. approach for doing so compare connectome properties with annotational maps. This type analysis popular at meso-/macroscale, but less common nano-scale, owing paucity neuron-level data. However, recent methodological advances have made possible reconstruction whole-brain connectomes single-neuron resolution select set organisms. These include fruit fly, Drosophila melanogaster , and its developing larvae. In addition fine-scale descriptions connectivity, these datasets are accompanied by rich annotations. Here, we use variant stochastic blockmodel detect multilevel communities in larval connectome. We find that partition neurons based on function cell most interact assortatively, reflecting principle functional segregation. small number nonassortatively, forming form “rich-club” interneurons receive sensory/ascending inputs deliver outputs along descending pathways. Next, investigate role community structure shaping communication patterns. polysynaptic signaling follows specific trajectories across modular hierarchies, playing key mediating routes between modules hierarchical scales. Our work suggests relationship system-level architecture biological classification individual neurons. envision our study as important step toward bridging gap complex systems neurobiological lines investigation brain sciences.

Language: Английский

Hierarchical communities in the larval Drosophila connectome: Links to cellular annotations and network topology DOI Creative Commons
Richard F. Betzel, Maria Grazia Puxeddu, Caio Seguin

et al.

Proceedings of the National Academy of Sciences, Journal Year: 2024, Volume and Issue: 121(38)

Published: Sept. 13, 2024

One of the longstanding aims network neuroscience is to link a connectome’s topological properties—i.e., features defined from connectivity alone–with an organism’s neurobiology. approach for doing so compare connectome properties with annotational maps. This type analysis popular at meso-/macroscale, but less common nano-scale, owing paucity neuron-level data. However, recent methodological advances have made possible reconstruction whole-brain connectomes single-neuron resolution select set organisms. These include fruit fly, Drosophila melanogaster , and its developing larvae. In addition fine-scale descriptions connectivity, these datasets are accompanied by rich annotations. Here, we use variant stochastic blockmodel detect multilevel communities in larval connectome. We find that partition neurons based on function cell most interact assortatively, reflecting principle functional segregation. small number nonassortatively, forming form “rich-club” interneurons receive sensory/ascending inputs deliver outputs along descending pathways. Next, investigate role community structure shaping communication patterns. polysynaptic signaling follows specific trajectories across modular hierarchies, playing key mediating routes between modules hierarchical scales. Our work suggests relationship system-level architecture biological classification individual neurons. envision our study as important step toward bridging gap complex systems neurobiological lines investigation brain sciences.

Language: Английский

Citations

2