May 7, 2024

Unleashing the Mind of a Fly: Synapse-by-Synapse Mapping of Drosophila Brain

The complete set of neurons in an insect brain. Scientists have actually mapped the connectome of a whole Drosophila larva brain. This valuable resource reveals varied neuron and connection types, substantial multisensory combination, and cross-hemisphere interaction, with structural functions looking like prominent attributes of artificial intelligence networks. Credit: Johns Hopkins University/University of Cambridge
Researchers have created the first-ever connectome, or synaptic wiring diagram, of a whole Drosophila larva brain. This insect whole-brain connectome is more complex and bigger than formerly reported connectomes, consisting of 3016 neurons and 548,000 synapses. It supplies a valuable resource for comprehending brain function and neural circuits through detailed analysis of the varied neuron and connection types, along with structural features that resemble popular attributes of device knowing networks.
Scientists have provided the connectome– or synaptic circuitry diagram– of an entire Drosophila larva brain.
This first-ever insect whole-brain connectome is larger and more complicated than formerly reported connectomes and represents a valuable resource for future experimental and theoretical studies of neural circuits and brain function. The brain comprises intricate networks of interconnected nerve cells that communicate through synapses.

A diagram portraying the connectivity, where nerve cells are represented as points, and neurons with more similar connectivity are outlined better together. Lines portray connections between nerve cells. The border of the figure shows example nerve cell morphologies. Credit: Johns Hopkins University/University of Cambridge
Comprehending the brains network architecture is crucial to understanding brain function. Due to technological restraints, imaging entire brains with electron microscopy (EM) and rebuilding the full neural architecture of the brain has been challenging and only has actually been achieved in three organisms that have relatively basic brains containing only numerous hundred neurons.
Here, Michael Winding and colleagues provide a synaptic-resolution, three-dimensional EM-based connectome of the larval Drosophila brain, which contains 3016 nerve cells and 548,000 synapses, and an even more complex organization than what is mapped by previous connectomes.
The connectome portrays how nerve cells interact within each brain hemisphere and throughout brain hemispheres. Credit: Johns Hopkins University/University of Cambridge
Comprehensive analysis of the connectome enabled Wingding et al. to characterize varied nerve cell and connection types and structural features, exposing comprehensive multisensory combination and cross-hemisphere interaction. The most persistent neural architecture was associated with the input and output neurons of the brains knowing.
The total set of nerve cells in an insect brain, which were rebuilded utilizing synapse-resolution electron microscopy. Credit: Johns Hopkins University/University of Cambridge
According to the authors, some of the recognized structural features, consisting of multilayer faster ways and nested persistent loops, resembled popular attributes of state-of-the-art device discovering networks.
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The total set of nerve cells in an insect brain. Researchers have actually mapped the connectome of a whole Drosophila larva brain. Researchers have actually developed the first-ever connectome, or synaptic wiring diagram, of a whole Drosophila larva brain. It supplies an important resource for understanding brain function and neural circuits through comprehensive analysis of the diverse nerve cell and connection types, as well as structural functions that look like popular characteristics of device learning networks.

Recommendation: “The connectome of an insect brain” by Michael Winding, Benjamin D. Pedigo, Christopher L. Barnes, Heather G. Patsolic, Youngser Park, Tom Kazimiers, Akira Fushiki, Ingrid V. Andrade, Avinash Khandelwal, Javier Valdes-Aleman, Feng Li, Nadine Randel, Elizabeth Barsotti, Ana Correia, Richard D. Fetter, Volker Hartenstein, Carey E. Priebe, Joshua T. Vogelstein, Albert Cardona and Marta Zlatic, 10 March 2023, Science.DOI: 10.1126/ science.add9330.