AI Article Synopsis
- The study explores the complex networks of neurons in the brain, highlighting their similarities to artificial networks and how these connections influence perception and behavior.* -
- Researchers completed the first comprehensive wiring diagram of an adult fly's brain, consisting of over 130,000 neurons, enabling analysis of its statistical properties and structural organization.* -
- Findings reveal that the fly brain has a "rich-club" organization with a significant number of highly connected neurons, and the data can be accessed through the FlyWire Codex for further research on neural activity and brain structure.*
Article Abstract
Brains comprise complex networks of neurons and connections, similar to the nodes and edges of artificial networks. Network analysis applied to the wiring diagrams of brains can offer insights into how they support computations and regulate the flow of information underlying perception and behaviour. The completion of the first whole-brain connectome of an adult fly, containing over 130,000 neurons and millions of synaptic connections, offers an opportunity to analyse the statistical properties and topological features of a complete brain. Here we computed the prevalence of two- and three-node motifs, examined their strengths, related this information to both neurotransmitter composition and cell type annotations, and compared these metrics with wiring diagrams of other animals. We found that the network of the fly brain displays rich-club organization, with a large population (30% of the connectome) of highly connected neurons. We identified subsets of rich-club neurons that may serve as integrators or broadcasters of signals. Finally, we examined subnetworks based on 78 anatomically defined brain regions or neuropils. These data products are shared within the FlyWire Codex ( https://codex.flywire.ai ) and should serve as a foundation for models and experiments exploring the relationship between neural activity and anatomical structure.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11446825 | PMC |
| http://dx.doi.org/10.1038/s41586-024-07968-y | DOI Listing |
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