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Distributed control circuits across a brain-and-cord connectome
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Distributed control circuits across a brain-and-cord connectome

Alexander Shakeel Bates, Jasper S. Phelps, Minsu Kim +95 more
February 2026
 ·
bioRxiv
 ·
DOI 
10.1101/2025.07.31.667571
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Neuroscience this quarter.
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Why this is interesting

By delivering the first adult connectome uniting brain and ventral nerve cord, this work overturns centralized motor-control models, revealing distributed sensorimotor loops organized by behavior-centric modules and supervised by higher cognitive circuits.

Author perspective

What is the most important insight, discovery, or finding from your paper that you would like other scientists to know?
“

In terms of the dataset, that's a very rich resource for people that do just neurobiology, because they can use it basically as a hypothesis-generation engine — to work out what different circuits might do and then test them in the wet lab.

And the second aspect is the science that we tried to do with it in the paper. What we try to do in the paper is describe how sensory–effector circuits are organized through the brain and the ventral nerve cord. The key here is that prior work had basically reconstructed the ventral nerve cord (which is the analog of the mammalian spinal cord) and the brain separately. But in this dataset there's a neck connective that links the two. You can follow, through the whole network, how sensory information gets filtered down all the way to motor output, for example. That's a powerful framework in which to think about how circuits are organized — to come up with some principles and ideas for how circuits are organized that look a bit similar to how things are done in autonomous robotics.

”
Alexander Shakeel Bates

QED claims analysis

Summary

The first unified adult Drosophila brain-and-ventral-nerve-cord connectome reveals a distributed control architecture where effector neurons are primarily influenced by local sensory feedback loops within body parts, coordinated by ascending and descending neurons organized into behavior-centric modules with hierarchical subsumption-like interactions, while learning and navigation centers in the central complex and mushroom body exert supervisory rather than executive control over only specific behavioral subsets.

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Main Claim 1 –

Unified Adult Fly Brain–VNC Connectome Densely Reconstructed

Supporting evidence

  • Cell-Type and Neurotransmitter Annotations Validate Connectome Interpretability
  • Adjusted Influence Metric Enables Scalable Whole-Connectome Influence Computation
Main Claim 2 –

Same-Body-Part Sensory Neurons Dominate Effector Influence in Local Loops

Supporting evidence

  • ANs and DNs Bridge Sensor–Effector Paths with High Betweenness
  • Single ANs/DNs Influence Multiple Body Parts with Local Specificity
Main Claim 3 –

AN/DN Behavior-Centric Modules Coordinate Distributed Local Feedback Loops

Supporting evidence

  • Circuit Motifs Within Modules Demonstrate Coordinated Functional Control
  • Within-Module AN/DN Cells Are Specialized, Not Redundant
  • Intra-Module Direct Connections Form Feedback Loops Among Specialized Cells
Main Claim 4 –

Hierarchical Interactions Among Behavior Modules Resemble Subsumption Architecture

Supporting evidence

  • Cross-Module Circuits Implement Recruitment and Suppression Between Modules

Abstract

Just as genomes revolutionized molecular genetics, connectomes (maps of neurons and synapses) are transforming neuroscience. To date, the only species with complete connectomes are worms and sea squirts (103-104 synapses). By contrast, the fruit fly is more complex (108 synaptic connections), with a brain that supports learning and spatial memory and an intricate ventral nerve cord analogous to the vertebrate spinal cord. Here we report the first densely reconstructed adult fly connectome that unites the brain and ventral nerve cord, and we leverage this resource to investigate principles of neural control. We show that effector neurons (motor neurons, endocrine cells and efferent neurons targeting the viscera) are primarily influenced by sensory neurons in the same body part, forming local feedback loops. These local loops are linked by long-range circuits involving ascending and descending neurons organized into behavior-centric modules. Single ascending and descending neurons are often positioned to influence the voluntary movements of multiple body parts, together with the endocrine cells or visceral organs that support those movements. Brain regions involved in learning and navigation supervise these circuits. These results reveal an architecture that is distributed, parallelized and embodied, reminiscent of distributed control architectures in engineered systems.

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