Structural Evolution of Neural Networks during Zebrafish Early Development

Repeated growth cone bifurcation is the fundamental mechanism forming neural network nodes during early development in transgenic zebrafish, with conserved Strahler and Hack scaling across brain, yolk sac, and spinal cord.

• Why it matters: Dynamic in vivo evidence for how neural networks are established early is limited, leaving uncertainty about the cellular rules and spatial constraints shaping their architecture.
• What they did: Using long-term confocal live-cell imaging at single-cell resolution, the study tracked network development across the brain, yolk sac, and spinal cord in transgenic zebrafish and quantified topology over time.
• The result: As development proceeds, node numbers and clustering coefficients increase while network density decreases, implying a structural optimization that balances functional efficiency with reduced wiring cost.

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