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Network structure governs Drosophila brain functionality.

Xiaoyu Zhang^1,2,3, Pengcheng Yang¹, Jiawei Feng¹

¹College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.

Fundamental Research

|June 11, 2026

Summary

This summary is machine-generated.

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The structure of brain networks, not just neuron complexity, dictates how neural activity emerges. This study shows network topology is key to information processing and brain function in Drosophila.

Area of Science:

Neuroscience
Computational Biology
Systems Neuroscience

Background:

Understanding intelligence emergence is a core neuroscience challenge.
The role of network structure versus individual neuron complexity in brain function remains debated.

Purpose of the Study:

To investigate how neural activation patterns emerge in a real neuronal network.
To determine the relative importance of network topology versus neuronal dynamics in information processing.

Main Methods:

Utilized the largest available adult Drosophila connectome dataset.
Developed a computational framework with simplified neuronal activation mechanisms.
Modeled activation patterns within the Drosophila connectome.

Keywords:

Activation pattern Brain network Drosophila connectome Network communication model Network structure

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Labeling of Single Cells in the Central Nervous System of Drosophila melanogaster

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Main Results:

Computational models accurately mimicked observed brain activation patterns.
Network topology consistently determined activation patterns across different neuronal models.
Visual and olfactory systems showed distinct network-level separation.
Network distance, not spatial distance, governed activation patterns.
Interhemispheric communication significantly influenced neural activation.

Conclusions:

Neural activation patterns are primarily determined by network topology, challenging neuron-centric views.
Network structure plays a crucial role in information processing and emergent brain functionality.
Findings offer insights into fundamental principles of brain organization and intelligence.