Completed Brain & Nervous System Psychology & Behaviour

The complete synaptic-level connectome of a nervous system and experimental connectomics

In plain English

AI plain-English summary

A fruit fly larva’s entire brain will be mapped, synapse by synapse, using an electron microscope. This matters because no one has ever seen the complete wiring diagram of a nervous system at the level of individual connections. Without that map, researchers cannot say with certainty how sensory inputs lead to motor outputs, how memories are physically stored, or how genetic faults rewire circuits in disease. The gap is fundamental: we know many of the parts but not how they are plugged together. The team will first reconstruct every neuron and synapse in the larval central nervous system. Then they will watch how those connections change when the larva learns—identifying the structural traces of memory, or engrams. Finally, they will introduce mutations linked to human neurological disorders and see exactly how the wiring goes wrong. This is fundamental science. There is no immediate clinical application. But a complete connectome of a whole nervous system would give neuroscientists a reference map analogous to the first human genome—a baseline against which all future studies of circuit function, plasticity, and disease can be measured.

View original technical description
Animals sense the local environment, learn and remember past events, predict future ones, and combine current and past information to choose appropriate motor responses. Underlying these capabilities is the nervous system, which continuously integrates multiple sources of information and chooses one response in exclusion to all others. Our vision is to study neural circuit function on the basis of known synaptic-level wiring diagrams. In Aim #1, we propose to map the complete wiring diagram of an insect, the Drosophila larval central nervous system, using serial electron microscopy. With the knowledge of the circuits formed by the identified and genetically accessible larval neurons we can study how circuits change either by experience or in disease. In Aim #2 we propose to read out the engrams, the persistent yet reversible structural circuit patterns that form in response to learning and that underlie long-term memories, using associative memory in the larval mushroom bodies as the model system. For circuits to assemble correctly while remaining plastic, hundreds of genes need to work in concert. In Aim #3, we will study the effects of mutations in select genes associated with neural diseases on the synaptic-level circuit structure, causing the disease phenotype.

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Researchers

Albert Cardona (EPMC Awardee)

Related Research

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Original classification

Investigator Award in Science

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